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BigData Conference 2021: Orlando, FL, USA
- Yixin Chen, Heiko Ludwig, Yicheng Tu, Usama M. Fayyad, Xingquan Zhu, Xiaohua Hu, Suren Byna, Xiong Liu, Jianping Zhang, Shirui Pan, Vagelis Papalexakis, Jianwu Wang, Alfredo Cuzzocrea, Carlos Ordonez:
2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021. IEEE 2021, ISBN 978-1-6654-3902-2 - Brandon Foggo, Nanpeng Yu
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Analyzing Data Selection Techniques with Tools from the Theory of Information Losses. 7-16 - So Hirai, Kenji Yamanishi:
Detecting Gradual Structure Changes of Non-parametric Distributions via Kernel Complexity. 17-27 - Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal:
Contrastive Learning in Neural Tensor Networks using Asymmetric Examples. 28-39 - Colin Stephen:
A Scalable Linear-Time Algorithm for Horizontal Visibility Graph Construction Over Long Sequences. 40-50 - Wesley Lin:
YOLO-Green: A Real-Time Classification and Object Detection Model Optimized for Waste Management. 51-57 - Peng Zhao, Guanyu Hu:
Approximate Bayesian Estimation with Subsampled Logistic Regression in Big Data Settings. 58-64 - Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao:
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. 65-75 - Juhyun Bae, Ling Liu
Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds. 76-85 - Kaiyuan Hou, Qiao Kang, Sunwoo Lee
Supporting Data Compression in PnetCDF. 86-97 - Qiao Kang, M. Scot Breitenfeld, Kaiyuan Hou, Wei-keng Liao
Optimizing Performance of Parallel I/O Accesses to Non-contiguous Blocks in Multiple Array Variables. 98-108 - Kevin Kocon, Pascal Bormann:
Point cloud indexing using Big Data technologies. 109-119 - Nikolaos Nikitas, Ioannis Konstantinou
Cherry: A Distributed Task-Aware Shuffle Service for Serverless Analytics. 120-130 - Md Hasanuzzaman Noor, Leonidas Fegaras:
Translation of Array-Based Graph Programs to Spark SQL on Block Arrays. 131-140 - Jian Wu, Shaurya Rohatgi, Sai Raghav Reddy Keesara, Jason Chhay, Kevin Kuo, Arjun Manoj Menon, Sean Parsons, Bhuvan Urgaonkar, C. Lee Giles:
Building an Accessible, Usable, Scalable, and Sustainable Service for Scholarly Big Data. 141-152 - Guoyi Zhao
CM-GCN: A Distributed Framework for Graph Convolutional Networks using Cohesive Mini-batches. 153-163 - Andreas Grafberger, Mohak Chadha, Anshul Jindal
FedLess: Secure and Scalable Federated Learning Using Serverless Computing. 164-173 - Hiroshi Inoue:
Multi-step LRU: SIMD-based Cache Replacement for Lower Overhead and Higher Precision. 174-180 - Víctor Rampérez, Shima Zahmatkesh, Emanuele Della Valle:
Scaling the monitoring of approximate top-k queries in streaming windows. 181-189 - Henriette Röger, Sukanya Bhowmik, Tobias Linn:
A Framework for Decentralized Parallel Complex Event Processing on Heterogeneous Infrastructures. 190-196 - Yiming Bian, Arun K. Somani:
An Efficient Systematic Approach to Find All Cyclic Quorum Sets with All-pairs Property. 197-206 - George Constantinou, Cyrus Shahabi, Seon Ho Kim:
Placement of DNN Models on Mobile Edge Devices for Effective Video Analysis. 207-218 - Dimitrios Karapiperis, Aris Gkoulalas-Divanis, Vassilios S. Verykios:
MultiBlock: A Scalable Iterative Approach for Progressive Entity Resolution. 219-228 - Abdullah al-Raihan Nayeem
A Visual Analytics Framework for Distributed Data Analysis Systems. 229-240 - Mohamed Ragab
Bench-Ranking: A First Step Towards Prescriptive Performance Analyses For Big Data Frameworks. 241-251 - R. Uday Kiran, Pradeep Pallikila, José María Luna, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy:
Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure. 252-262 - Khoi Duy Vo, Sergej Zerr
Efficient Scalable Temporal Web Graph Store. 263-273 - Wenlu Wang, Chen Pan:
Collectively Learned Multi-level Spatial Embeddings for Residential Rental Price Prediction. 274-283 - Brian Wheatman
Streaming Sparse Graphs using Efficient Dynamic Sets. 284-294 - Huijuan Zhang, Lipeng Liang, Dongqing Wang:
Object Interaction Recommendation with Multi-Modal Attention-based Hierarchical Graph Neural Network. 295-305 - Albert Asratyan, Sina Sheikholeslami, Vladimir Vlassov:
A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation. 306-314 - Soumya Dutta
In Situ Adaptive Spatio-Temporal Data Summarization. 315-321 - Robert J. Fitzgerald, Farnoush Banaei Kashani:
City-Scale System-Optimal Route Planning with Route Replanning. 322-327 - Chandrasekar Vuppalapati, Anitha Ilapakurti, Sandhya Vissapragada, Vanaja Mamidi, Sharat Kedari, Raja Vuppalapati, Santosh Kedari, Jaya Vuppalapati:
Application of Machine Learning and Government Finance Statistics for macroeconomic signal mining to analyze recessionary trends and score policy effectiveness. 327-3283 - Xiaoyun Fu, Rishabh Rajendra Bhatt, Samik Basu, Aduri Pavan:
Multi-Objective Submodular Optimization with Approximate Oracles and Influence Maximization. 328-334 - Nguyen Ho, Van Long Ho
Efficient and Distributed Temporal Pattern Mining. 335-343 - Quanliang Jing, Di Yao, Chang Gong, Xinxin Fan, Baoli Wang, Haining Tan, Jingping Bi:
TrajCross: Trajecotry Cross-Modal Retrieval with Contrastive Learning. 344-349 - Zhaoheng Li, Xinyu Pi, Mingyuan Wu, Hanghang Tong:
REFORM: Fast and Adaptive Solution for Subteam Replacement. 350-358 - Saptashwa Mitra, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara:
Glance: A Generative Approach to Interactive Visualization of Voluminous Satellite Imagery. 359-367 - Hang Nguyen, Md. Yusuf Sarwar Uddin, Nalini Venkatasubramanian:
REAPS: Quasi-active Fault Tolerance for Big Data Publish-Subscribe Systems. 368-375 - Dai Hai Ton That, Mohammadsaleh Gharehdaghi, Alexander Rasin, Tanu Malik:
LDI: Learned Distribution Index for Column Stores. 376-387 - Sodiq Adewole, Philip Fernandez, James A. Jablonski, Andrew Copland, Michael D. Porter
Graph Convolutional Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos. 388-399 - Zishi Deng, Torsten Suel:
Optimizing Iterative Algorithms for Social Network Sharding. 400-408 - Negin Entezari, Evangelos E. Papalexakis, Haixun Wang, Sharath Rao, Shishir Kumar Prasad:
Tensor-based Complementary Product Recommendation. 409-415 - Kuan Feng, Yanmin Zhu, Jiadi Yu:
Non-Parallel Text Style Transfer using Self-Attentional Discriminator as Supervisor. 416-426 - Cheng Hsu, Cheng-Te Li, Diego Sáez-Trumper
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia. 427-436 - Benedetta Iavarone
From depression to suicidal discourse on Reddit. 437-445 - Xiaopeng Jiang, Shuai Zhao, Guy Jacobson, Rittwik Jana, Wen-Ling Hsu, Manoop Talasila, Syed Anwar Aftab, Yi Chen, Cristian Borcea:
Federated Meta-Location Learning for Fine-Grained Location Prediction. 446-456 - Xiaohan Li
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. 457-468 - Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. 469-479 - Saurav Manchanda, Da Zheng, George Karypis:
Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs. 480-489 - Ahmadreza Mosallanezhad, Kai Shu, Huan Liu:
Generating Topic-Preserving Synthetic News. 490-499 - Fuxin Ren, Zhongbao Zhang, Yang Yan, Zhi Wang, Sen Su, Philip S. Yu:
HAMLET: Hierarchical Attention-based Model with muLti-task sElf-Training for user profiling. 500-509 - Saed Rezayi, Nedim Lipka, Vishwa Vinay, Ryan A. Rossi, Franck Dernoncourt, Tracy Holloway King
A Framework for Knowledge-Derived Query Suggestions. 510-518 - Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo:
GLOW : Global Weighted Self-Attention Network for Web Search. 519-528 - Daniel Tschernutter, Stefan Feuerriegel:
A Latent Customer Flow Model for Interpretable Predictions of Check-In Counts. 529-539 - Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Philip S. Yu:
Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding. 540-549 - Zhe Wang, Dylan Cashman
NeuralCubes: Deep Representations for Visual Data Exploration. 550-561 - Xianjun Yang, Xinlu Zhang, Julia Zuo, Stephen D. Wilson, Linda R. Petzold:
An Analysis of Relation Extraction within Sentences from Wet Lab Protocols. 562-570 - Tiantian Zhang, Xin Mao, Dejian Li, Meirong Ma, Hao Yuan, Jianchao Zhu, Man Lan:
Target-dependent Event Detection: A New Task to Event Extraction from News. 571-580 - Panpan Zheng, Shuhan Yuan
Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process. 581-589 - Ziqing Zhu, Jiuxin Cao, Tao Zhou, Huiyu Min, Bo Liu
Understanding User Topic Preferences across Multiple Social Networks. 590-599 - Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
How Useful is Meta-Recommendation? An Empirical Investigation. 600-606 - Hao Gao
UGCLink: User Identity Linkage by Modeling User Generated Contents with Knowledge Distillation. 607-613 - Takako Hashimoto, Takeaki Uno, Yuka Takedomi, David Lawrence Shepard, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Ryota Kobayashi:
Two-stage Clustering Method for Discovering People's Perceptions: A Case Study of the COVID-19 Vaccine from Twitter. 614-621 - Amel Hidouri
On Minimal and Maximal High Utility Itemsets Mining using Propositional Satisfiability. 622-628 - Yikai Huang, Zhili Yao, Jianlin Feng:
P-QALSH: Parallelizing Query Aware Locality-Sensitive Hashing for Big Data. 629-634 - Bo Hui, Da Yan, Wei-Shinn Ku:
Node-Polysemy Aware Recommendation by Matrix Completion with Side Information. 636-642 - Hamid Karimi, Jiliang Tang, Xochitl Weiss, Jiangtao Huang
Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning. 643-652 - Guanzhou Ke
CONAN: Contrastive Fusion Networks for Multi-view Clustering. 653-660 - Prabin B. Lamichhane, William Eberle:
Anomaly Detection in Edge Streams Using Term Frequency-Inverse Graph Frequency (TF-IGF) Concept. 661-667 - Yichuan Li, Kyumin Lee, Nima Kordzadeh, Brenton D. Faber
Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection. 668-676 - Saurav Manchanda, Mohit Sharma, George Karypis:
Distant-Supervised Slot-Filling for E-Commerce Queries. 677-686 - Guanyi Mou, Kyumin Lee:
An Effective, Robust and Fairness-aware Hate Speech Detection Framework. 687-697 - Daniel Peralta, Lin Tang, Maxim Lippeveld, Yvan Saeys:
A study on the calibration of fingerprint classifiers. 698-704 - Raed Alharbi, Minh N. Vu, My T. Thai:
Learning Interpretation with Explainable Knowledge Distillation. 705-714 - Liwei Che
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. 715-724 - Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock:
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images. 725-734 - Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun
HAR: Hardness Aware Reweighting for Imbalanced Datasets. 735-745 - Yu Huang
GraSSNet: Graph Soft Sensing Neural Networks. 746-756 - Nushrat Humaira, Saber Sadeghi Tabas, S. Samadi, Nina C. Hubig:
FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline. 757-767 - Hamed Jalali, Martin Pawelczyk, Gjergji Kasneci
Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach. 768-778 - Maria Kalantzi, George Karypis:
Position-based Hash Embeddings For Scaling Graph Neural Networks. 779-789 - Aswin Kannan, Anamitra Roy Choudhury, Vaibhav Saxena, Saurabh Raje, Parikshit Ram, Ashish Verma, Yogish Sabharwal:
HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning. 790-800 - Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, Timothy Noah Hutson, Leon D. Iasemidis
Gen2Out: Detecting and Ranking Generalized Anomalies. 801-811 - Sicong Liang, Chang Deng, Yu Zhang:
A Simple Approach to Balance Task Loss in Multi-Task Learning. 812-823 - Mingzhe Liu, Bowen Du, Leilei Sun:
Co-Prediction of Multimodal Transportation Demands With Self-learned Spatial Dependence. 824-833 - Guanxiong Liu, Issa Khalil
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples. 834-846 - Yangdi Lu, Wenbo He:
MixNN: Combating Noisy Labels in Deep Learning by Mixing with Nearest Neighbors. 847-856 - Shohaib Mahmud, Haiying Shen, Ying Natasha Zhang Foutz, Joshua Anton:
A Human Mobility Data Driven Hybrid GNN+RNN Based Model For Epidemic Prediction. 857-866 - Hadi Mansourifar, Weidong Shi:
Cross-Concatenation: Tackling Uncertainty in Imbalanced Big Data Classification. 867-875 - Guanyi Mou, Yichuan Li, Kyumin Lee:
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification. 876-887 - Rameshwar Pratap, Suryakant Bhardwaj, Hrushikesh Sudam Sarode, Raghav Kulkarni:
Feature Hashing with Insertion and Deletion of Features. 888-898 - Lanyu Shang
A Multimodal Misinformation Detector for COVID-19 Short Videos on TikTok. 899-908 - Xiajiong Shen, Kunying Meng, Daojun Han, Kai Zhai, Lei Zhang:
Weather radar echo prediction method based on recurrent convolutional neural network. 909-916 - Sanjana Srinivas, Mahima Agumbe Suresh:
Faster Depth Estimation for Situational Awareness on Urban Streets. 917-926 - Minh N. Vu, Truc D. T. Nguyen
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation. 927-937 - Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang:
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. 938-947 - Huiyu Wu, Diego Klabjan:
Logit-based Uncertainty Measure in Classification. 948-956 - Dongyu Zhang
Human-like Explanation for Text Classification With Limited Attention Supervision. 957-967 - Zihan Zhou, Mingxuan Sun:
Multivariate Hawkes Processes for Incomplete Biased Data. 968-977 - Md. Adnan Arefeen
TransJury: Towards Explainable Transfer Learning through Selection of Layers from Deep Neural Networks. 978-984 - Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis:
RLAC: Random Line Approximation Clustering. 985-993 - Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Thomas Hartvigsen, Elke A. Rundensteiner, Emmanuel Agu:
Variational Open Set Recognition (VOSR). 994-1001 - Zhun Deng, Jiaoyang Huang, Kenji Kawaguchi:
How Shrinking Gradient Noise Helps the Performance of Neural Networks. 1002-1007 - Wenke Ding, Congcong Zhang, Gaofei Xie, Xiaojie Hu, Xiajiong Shen, Yatian Shen:
Graph Structure-Aware Bi-directional Graph Convolution Model for Semantic Role Labeling. 1008-1014 - Tianchuan Du, Keng-hao Chang, Paul Liu, Ruofei Zhang:
Improving Taxonomy-based Categorization with Categorical Graph Neural Networks. 1015-1022 - Erika Duriakova, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, Neil Hurley:
Boosting the Training Time of Weakly Coordinated Distributed Machine Learning. 1023-1029 - Ting Guo
Graph Compression Networks. 1030-1036 - Haiyang He, Xiaolin Li, Zhihong Wang, Shiguo Huang
ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection. 1037-1044 - Alexander He
Chronic Respiratory Disease: Risk Modeling Potential and Limitations. 1045-1053 - Dennis Huynh, Garrett Audet, Nikolay Alabi, Yuan Tian:
Stock Price Prediction Leveraging Reddit: The Role of Trust Filter and Sliding Window. 1054-1060 - Md. Majedul Islam, Avishek Das, Ibna Kowsar, A. K. M. Shahariar Azad Rabby
Towards building a Bangla text recognition solution with a Multi-Headed CNN architecture. 1061-1067 - Alexander F. Lapanowski, Irina Gaynanova
Compressing large sample data for discriminant analysis. 1068-1076 - Hangyue Li, Xucheng Luo, Qinze Yu
Session-based Recommendation via Contrastive Learning on Heterogeneous Graph. 1077-1082 - Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu:
Assessing Deep Neural Networks as Probability Estimators. 1083-1091 - Nikodimos Provatas, Ioannis Konstantinou
Is Systematic Data Sharding able to Stabilize Asynchronous Parameter Server Training? 1092-1101 - Wenting Qi, Charalampos Chelmis
Improving Algorithmic Decision-Making in the Presence of Untrustworthy Training Data. 1102-1108 - Taruna Seth, Vipin Chaudhary:
A Predictive Framework for Multi-Horizon Financial Crises Forecasting using Macro-Economic Data. 1109-1118 - Radwa El Shawi, Hudson Lekunze, Sherif Sakr:
cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Clustering. 1119-1126 - Liang-Wei Tao, An-Fong Hwu, Yu-Jen Huang, Chi-Chung Chen, Chao-Yuan Yeh, Shih-Hao Hung:
End-to-End Performance Optimization for Training Streaming Convolutional Neural Networks using Billion-Pixel Whole-Slide Images. 1127-1137 - Pei-Cheng Tu, Hsing-Kuo Pao:
A Dropout Style Model Augmentation for Cross Domain Few-Shot Learning. 1138-1147 - Xingyu Wang, Lida Zhang, Diego Klabjan:
Keyword-based Topic Modeling and Keyword Selection. 1148-1154 - Yue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu:
Towards Explainable Visual Emotion Understanding. 1155-1162 - Xiaofeng Zhu, Diego Klabjan:
Continual Neural Network Model Retraining. 1163-1171 - Yifan Guo
Resisting Distributed Backdoor Attacks in Federated Learning: A Dynamic Norm Clipping Approach. 1172-1182 - Xiao Han
InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data. 1183-1192 - Shengzhong Liu, Franck Le, Supriyo Chakraborty, Tarek F. Abdelzaher:
On Exploring Attention-based Explanation for Transformer Models in Text Classification. 1193-1203 - Edoardo Serra, Sujeet Ayyapureddi, Qudrat E. Alahy Ratul, Anna Cinzia Squicciarini:
A Few Shot Transfer Learning Approach Identifying Private Images With Fast User Personalization. 1204-1213 - Zhengming Zhang, Yaoqing Yang, Zhewei Yao, Yujun Yan
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models. 1214-1225 - Jack J. Amend, Albatool Wazzan, Richard Souvenir:
Evaluating Gender-Neutral Training Data for Automated Image Captioning. 1226-1235 - Steven Carrell, Amir Atapour Abarghouei:
Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking. 1236-1241 - Xiaolin Chen, Shuai Zhou, Bei Guan, Kai Yang, Hao Fao, Hu Wang, Yongji Wang:
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Vertical Federated Learning. 1242-1248 - Jasmine DeHart, Chenguang Xu, Christan Grant, Lisa Egede:
Proposing an Interactive Audit Pipeline for Visual Privacy Research. 1249-1255 - Khan Mohammad Al Farabi, Somdeb Sarkhel, Sanorita Dey, Deepak Venugopal:
Interpretable Explanations for Probabilistic Inference in Markov Logic. 1256-1264 - Gonzalo Munilla Garrido, Kaja Schmidt
Exploring privacy-enhancing technologies in the automotive value chain. 1265-1272 - Wen Huang
Fairness-aware Bandit-based Recommendation. 1273-1278 - Chiho Kim, Sang-Yoon Chang, Jonghyun Kim, Dongeun Lee, Jinoh Kim:
Zero-day Malware Detection using Threshold-free Autoencoding Architecture. 1279-1284 - Ziyi Kou, Lanyu Shang, Huimin Zeng, Yang Zhang, Dong Wang:
ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets Augmentation. 1285-1290 - John Martinsson, Edvin Listo Zec, Daniel Gillblad
Adversarial representation learning for synthetic replacement of private attributes. 1291-1299 - Cristina Menghini, Aris Anagnostopoulos
How Inclusive Are Wikipedia's Hyperlinks in Articles Covering Polarizing Topics? 1300-1307 - Dinusha Vatsalan
Privacy Preserving Text Data Encoding and Topic Modelling. 1308-1316 - Wenqi Cao, Ling Liu
Efficient Huge Page Management with Xpage. 1317-1326 - Hiroto Akatsuka
Traffic Dispersion by Predicting Traffic Conditions based on Population Distribution. 1327-1336 - Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju, Yeo-Jin Kim, Min Chi:
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem. 1337-1348 - Prem Bhusal, A. K. M. Mubashwir Alam, Keke Chen, Ning Jiang, Jun Xiao:
Scalable Sequence Clustering for Large-Scale Immune Repertoire Analysis. 1349-1358 - Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry
Context Integrated Relational Spatio-Temporal Resource Forecasting. 1359-1368 - Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia:
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks. 1369-1379 - Daixuan Cheng, Haifeng Sun, Qi Qi, Jingyu Wang
Parallel Decoders Guided Lexically Constrained Response Generation. 1380-1388 - Yun-Wei Chu, Elizabeth Tenorio, Laura M. Cruz Castro
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach. 1389-1398 - Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. 1399-1408 - Hangtao He, Kejiang Ye, Cheng-Zhong Xu
Multi-feature Urban Traffic Prediction Based on Unconstrained Graph Attention Network. 1409-1417 - James Hicks, Thilanka Munasinghe:
Hidden Workforce: Analysis on Recognizing Unpaid Domestic Work Through Social Determinants. 1418-1426 - Yongshuai Liu, Jiaxin Ding, Zhi-Li Zhang, Xin Liu:
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing. 1427-1437 - Chunyi Liu, Hao Feng, Jiang Xu, Zhiwei Tony Qin, Hongtu Zhu:
Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal Modeling. 1438-1448 - Erick Skorupa Parolin, Yibo Hu, Latifur Khan, Javier Osorio, Patrick T. Brandt, Vito D'Orazio:
CoMe-KE: A New Transformers Based Approach for Knowledge Extraction in Conflict and Mediation Domain. 1449-1459 - Palla Likhitha, Pamalla Veena, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu:
Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases. 1460-1469 - Wei Rang, Donglin Yang, Zhimin Li, Dazhao Cheng:
Scalable Data Management on Hybrid Memory System for Deep Neural Network Applications. 1470-1480 - Yuping Wang, Savvas Zannettou, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini:
A Multi-Platform Analysis of Political News Discussion and Sharing on Web Communities. 1481-1492 - Zichao Wang, Mengxue Zhang, Richard G. Baraniuk, Andrew S. Lan:
Scientific Formula Retrieval via Tree Embeddings. 1493-1503 - Yiming Xu, Diego Klabjan:
Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels. 1504-1513 - Da Yan, Shengbin Wu, Mirza Tanzim Sami, Abdullateef Ibrahim Almudaifer, Zhe Jiang
Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach. 1514-1522 - Daniel Yue Zhang, Jonathan J. Hüser, Yao Li, Sarah Campbell:
Language-Agnostic and Language-Aware Multilingual Natural Language Understanding for Large-Scale Intelligent Voice Assistant Application. 1523-1532 - Sarwan Ali, Murray Patterson
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences. 1533-1540 - Nirupama Appiktala, SansWord Huang, Balachandar Sankar, Shweta Tripathi, Eyan Goldman:
Identifying Salient Entities of News Articles Using Binary Salient Classifier. 1541-1549 - Zinat Ara
Traffic Flow Prediction using Long Short-Term Memory Network and Optimized Spatial Temporal Dependencies. 1550-1557 - Andy S. Berres, Brett C. Bass, Mark B. Adams, Eric Garrison, Joshua R. New:
A Data-Driven Approach to Nation-Scale Building Energy Modeling. 1558-1565 - Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan L. Lewis
AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. 1566-1574 - Lei Cao, Peng Xu, Wei Shang:
A text-based mining approach for real estate policy impact monitoring and analysis. 1575-1581 - Shaika Chowdhury, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Philip S. Yu:
MedTextSeg: A Deep Dual Sequential Model for Section Segmentation in Medical Reports. 1582-1588 - Huan Dai, Yupei Zhang, Yue Yun, Rui An, Xuequn Shang:
VarSKD: A Variational Student Knowledge Diagnosis for Efficiently Representing Student Latent Knowledge Space. 1589-1594 - Roxane Desrousseaux, Gilles Bernard, Jean-Jacques Mariage:
Predicting Financial Suspicious Activity Reports with Online Learning Methods*. 1595-1603 - Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock:
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition. 1604-1610 - A. Escobar, Debejyo Chakraborty, Jorge Arinez, Rubén Morales-Menéndez:
Augmentation of Body-in-White Dimensional Quality Systems through Artificial Intelligence. 1611-1618 - Kaiqun Fu, Taoran Ji
A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting. 1619-1624 - Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar:
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. 1625-1632 - Guillaume Habault, Shinya Wada, Chihiro Ono:
Influence of Land Use information over performance when predicting spatiotemporal electricity load demand. 1633-1639 - Song Ju, Yeo Jin Kim, Markel Sanz Ausin, Maria E. Mayorga
To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning. 1640-1646 - Ryo Kawahara, Mikio Takeuchi:
Cash flow prediction of a bank deposit using scalable graph analysis and machine learning. 1647-1656 - Yeo Jin Kim, Markel Sanz Ausin, Min Chi:
Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention. 1657-1663 - Dimitrios Klagkos, Vana Kalogeraki:
Evaluating Actions in Sports Analytics with Deep Learning. 1664-1669 - Ashutosh Kumar
Citywide reconstruction of cross-sectional traffic flow from moving camera videos. 1670-1678 - Dong Li, Haomin Yu, Yangli-ao Geng, Xiaobao Li, Qingyong Li:
DDGNet: A Dual-Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting. 1679-1685 - Zhantong Liang, Abdou Youssef:
Deep Sentence Denoising beyond Grammatical Error Correction. 1686-1691 - Jinwei Liu, Long Cheng
DeepTrack: An ML-based Approach to Health Disparity Identification and Determinant Tracking for Improving Pandemic Health Care. 1692-1698 - Vanja Ljevar, James Goulding, Gavin Smith, Alexa Spence:
Using Model Class Reliance to Measure Group Effects on Non-Adherence to Asthma Medication. 1699-1708 - Andrew Kwok-Fai Lui
Modelling of Destinations for Data-driven Pedestrian Trajectory Prediction in Public Buildings. 1709-1717 - Juan Nathaniel, Baihua Zheng
Context-Aware Graph Convolutional Network for Dynamic Origin-Destination Prediction. 1718-1724 - Chetraj Pandey
Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms. 1725-1730 - Arun V. Sathanur, Arif M. Khan:
Scalable Approaches to Selecting Key Entities in Large Networked Infrastructure Systems. 1731-1738 - Toan V. Tran, Thanh-Nam Doan, Mina Sartipi:
TSLib: A Unified Traffic Signal Control Framework Using Deep Reinforcement Learning and Benchmarking. 1739-1747 - Zhiyuan Wu, Ning Liu, Guodong Li, Xinyu Liu, Yue Wang, Lin Zhang:
A Variational Bayesian Approach for Fast Adaptive Air Pollution Prediction. 1748-1756 - Peter Xenopoulos, Cláudio T. Silva:
Graph Neural Networks to Predict Sports Outcomes. 1757-1763 - Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan, Zhe Wang:
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization. 1764-1771 - Yuansheng Zhu
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. 1772-1778 - Conrad M. Albrecht
AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning. 1779-1786 - Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas:
A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming. 1787-1796 - Haytham Assem, Rajdeep Sarkar, Sourav Dutta
Qasar: Self-Supervised Learning Framework for Extractive Question Answering. 1797-1808 - Rathakrishnan Bhaskaran, Ramakrishnan Kannan, Brian Barr, Stephan Priebe:
Science-Guided Machine Learning for Wall-Modeled Large Eddy Simulation. 1809-1816 - Vibhati Burman, Rajesh Kumar Vashishtha, Srividhya Sethuraman, Ganesh Radhakrishnan, Prashanth Ganesan, Suresh Kumar V, Sharadha Ramanan:
Markdown Pricing For a Large Scale Retailer. 1817-1826 - Antoine Hébert, Ian Marineau, Gilles Gervais, Tristan Glatard, Brigitte Jaumard:
Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning? 1827-1836 - Takashi Isobe, Yoshihiro Okada:
Chemicals Informatics: Explore Structural Factors and Potential Chemicals based on Public Literatures. 1837-1846 - Eliot Kim
Multi-Task Deep Learning Based Spatiotemporal Arctic Sea Ice Forecasting. 1847-1857 - Guixiang Ma, Yao Xiao, Mihai Capota
Learning Code Representations Using Multifractal-based Graph Networks. 1858-1866 - Mayank Mishra, Archisman Bhowmick, Rekha Singhal:
FASCA: Framework for Automatic Scalable Acceleration of ML Pipeline. 1867-1876 - Daisuke Moriwaki, Yuta Hayakawa
A Real-World Implementation of Unbiased Lift-based Bidding System. 1877-1888 - Raj Nath Patel, Edward Burgin, Haytham Assem, Sourav Dutta
Efficient Multi-Lingual Sentence Classification Framework with Sentence Meta Encoders. 1889-1899 - Xiaoye Qian, Chao Zhang
Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned. 1900-1908 - Sean Rooney, Luis Garcés-Erice, Daniel Bauer, Peter Urbanetz:
Pathfinder: Building the Enterprise Data Map. 1909-1919 - Siavash Samiei, Nasrin Baratalipour, Pranjul Yadav, Amitabha Roy, Dake He:
Addressing Stability in Classifier Explanations. 1920-1927 - Amir Yaghoubi Shahir, Tilemachos Charalampous, Mohammad A. Tayebi, Uwe Glässer, Hans Wehn:
TripTracker: Unsupervised Learning of Fishing Vessel Routine Activity Patterns. 1928-1939 - Alex Shtoff, Yair Koren:
Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models. 1940-1949 - Yohay Kaplan, Yair Koren, Rina Leibovits, Oren Somekh:
Dynamic Length Factorization Machines for CTR Prediction. 1950-1959 - Bharath Sudharsan, Piyush Yadav, Duc-Duy Nguyen, Jefkine Kafunah, John G. Breslin
Ensemble Methods for Collective Intelligence: Combining Ubiquitous ML Models in IoT. 1960-1963 - Anika Tabassum, Supriya Chinthavali, Sangkeun Lee, Nils M. Stenvig
Efficient Contingency Analysis in Power Systems via Network Trigger Nodes. 1964-1973 - Lohit Vijayarenu, Zhenzhao Wang, Praveen Killamsetti, Tisha Emmanuel, Abhishek Jagannath, Lakshman Ganesh Rajamani, Joep Rottinghuis:
Twitter Sparrow : Reduce Event Pipeline latency from hours to seconds. 1974-1979 - Max Würfel, Qiwei Han
Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach. 1980-1989 - Jaswanth K. Yella, Chao Zhang
Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer. 1990-1998 - Chao Zhang
Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word. 1999-2008 - Wei Zhang, Chris Challis:
Virtual-SRE For Monitoring Large Scale Time-series Data. 2009-2018 - Johannes Breitenbach, Tim Dauser, Hendrik Illenberger, Marius Traub, Ricardo Buettner:
A Systematic Literature Review on Machine Learning Approaches for Quality Monitoring and Control Systems for Welding Processes. 2019-2025 - Ramya Bygari, Aayush Gupta, Shashwat Raghuvanshi, Aakanksha Bapna, Birendra Sahu:
An AI-powered Smart Routing Solution for Payment Systems. 2026-2033 - Koustava Goswami, Sourav Dutta
Mufin: Enriching Semantic Understanding of Sentence Embedding using Dual Tune Framework. 2034-2039 - Miro Hodak, Ajay Dholakia:
Recent Efficiency Gains in Deep Learning: Performance, Power, and Sustainability. 2040-2045 - Shulong Tan, Meifang Li, Weijie Zhao
Multi-Task and Multi-Scene Unified Ranking Model for Online Advertising. 2046-2051 - Marios Vodas
Online Distributed Maritime Event Detection & Forecasting over Big Vessel Tracking Data. 2052-2057 - Hee-Sun Won, Minh Chau Nguyen, Myeong-Seon Gil, Yang-Sae Moon:
An Advanced Open Data Platform for Integrated Support of Data Management, Distribution, and Analysis. 2058-2063 - Huijun Wu, Xiaoyao Qian, Aleks Shulman, Kanishk Karanawat, Tushar Singh, Hulya Pamukcu Crowell, Prashil Bhimani, Chunxu Tang, Yao Li, Lu Zhang, Chris Ulherr:
Move Real-Time Data Analytics to the Cloud: A Case Study on Heron to Dataflow Migration. 2064-2067 - Aming Wu
CrowdQuake+: Data-driven Earthquake Early Warning via IoT and Deep Learning. 2068-2075 - Eelaaf Zahid, Yuya Jeremy Ong, Aly Megahed, Taiga Nakamura:
Predicting Loss Risks for B2B Tendering Processes. 2076-2083 - Rafer Cooley, Michael Cutshaw, Shaya Wolf, Rita Foster, Jed Haile, Mike Borowczak
Comparing Ransomware using TLSH and @DisCo Analysis Frameworks. 2084-2091 - Allard Dijk:
Detection of Advanced Persistent Threats using Artificial Intelligence for Deep Packet Inspection. 2092-2097 - Tomás Komárek, Jan Brabec, Cenek Skarda, Petr Somol:
Threat Hunting as a Similarity Search Problem on Multi-positive and Unlabeled Data. 2098-2103 - Vasileios Mavroeidis, Pavel Eis, Martin Zádník, Marco Caselli, Bret Jordan:
On the Integration of Course of Action Playbooks into Shareable Cyber Threat Intelligence. 2104-2108 - Suha Reddy Mokalla, Thirimachos Bourlai
Effects of Demographics and Photometric Normalization on Image Translation GANs for Cross-Spectral Face Recognition. 2109-2118 - Samuel Ndichu
A Machine Learning Approach to Detection of Critical Alerts from Imbalanced Multi-Appliance Threat Alert Logs. 2119-2127 - Antonio José Horta Neto, Anderson Fernandes Pereira dos Santos, Marcos Dos Santos:
Polymer: An Adaptive Kill Chain Expanding Cyber Threat Hunting to Multi-Platform Environments. 2128-2135 - Kris Oosthoek, Christian Doerr:
Inside the Matrix: CTI Frameworks as Partial Abstractions of Complex Threats. 2136-2143 - Amendra Shrestha, Nazar Akrami, Lisa Kaati, Julia Kupper
Words of Suicide: Identifying Suicidal Risk in Written Communications. 2144-2150 - Siddhant Shrivastava, M. R. Gauthama Raman, Aditya Mathur:
PCAT: PLC Command Analysis Tool for automatic incidence response in Water Treatment Plants. 2151-2159 - Michael R. Smith, Stephen J. Verzi
Malware Generation with Specific Behaviors to Improve Machine Learning-based Detection. 2160-2169 - Jon-Martin Storm, Janne Merete Hagen, Øyvind Anders Arntzen Toftegaard:
A Survey of Using Process Data and Features of Industrial Control Systems in Intrusion Detection. 2170-2177 - Konstantinos Touloumis, Ariadni Michalitsi-Psarrou
Vulnerabilities Manager, a platform for linking vulnerability data sources. 2178-2184 - Anastasios Alexandridis
Making Case for Using RAFT in Healthcare Through Hyperledger Fabric. 2185-2191 - Bruce Ambacher, Mark Conrad:
Computational Archival Science is a Two-Way Street. 2192-2199 - Lencia Beltran, Emily Ping O'Brien, Greg Jansen
A Framework for Unlocking and Linking WWII Japanese American Incarceration Biographical Data. 2200-2209 - Marissa Friedman, Cameron Ford, Mary Elings, Vijay Singh, Tracey Tan:
Using AI/Machine Learning to Extract Data from Japanese American Confinement Records. 2210-2219 - Sam Grabus, Jane Greenberg:
Computational Curation and the Application of Large-Scale Vocabularies. 2220-2223 - Aravind Inbasekaran, Rajesh Kumar Gnanasekaran, Richard Marciano:
Using Transfer Learning to contextually Optimize Optical Character Recognition (OCR) output and perform new Feature Extraction on a digitized cultural and historical dataset. 2224-2230 - Eric Kaltman
Organizing a Content Profile for a Large, Heterogeneous Collection of Interactive Projects. 2231-2239 - Shadrack Katuu
Managing Records in Enterprise Resource Planning Systems. 2240-2245 - Ji-Ping Lin:
Computational Archives of Population Dynamics and Migration Networks as a Gateway to Get Deep Insights into Hard-to-reach Populations: Research on Taiwan Indigenous Peoples. 2246-2254 - Jennifer Proctor, Richard Marciano
An AI-Assisted Framework for Rapid Conversion of Descriptive Photo Metadata into Linked Data. 2255-2261 - Dian Ross, Edmond Cretu, Victoria Lemieux:
NFTs: Tulip Mania or Digital Renaissance? 2262-2272 - Junehwan Sung
Inference of Absolute Time Value from Temporal Expressions. 2273-2280 - Santhilata Kuppili Venkata, Stephanie Decker
EMCODIST: A Context-based Search Tool for Email Archives. 2281-2290 - Timo Aho, Terhi Kilamo, Lucy Ellen Lwakatare
Managing and Composing Teams in Data Science: An Empirical Study. 2291-2300 - Kerk F. Kee, Alex Olshansky, Shan Xu:
A Socio-Technical Framework for Measuring Organizational Capacity During Cyberinfrastructure Diffusion. 2301-2305 - Inna Kolyshkina, Simeon Simoff:
The CRISP-ML Approach to Handling Causality and Interpretability Issues in Machine Learning. 2306-2312 - Iñigo Martinez
A survey study of success factors in data science projects. 2313-2318 - Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
An Approach to Support Human-in-the-Loop Big Data Software Development Projects. 2319-2326 - Lex Poon, Siamak Farshidi
Unsupervised Anomaly Detection in Data Quality Control. 2327-2336 - Jeffrey S. Saltz
CRISP-DM for Data Science: Strengths, Weaknesses and Potential Next Steps. 2337-2344 - Jeffrey S. Saltz
Identifying and Addressing 6 Key Questions when Using Data Driven Scrum. 2345-2352 - Meryem Uzun-Per, Ali Burak Can, Ahmet Volkan Gürel
Big Data Testing Framework for Recommendation Systems in e-Science and e-Commerce Domains. 2353-2361 - Kugamoorthy Gajananan, Hirokuni Kitahara, Ruriko Kudo, Yuji Watanabe:
Scalable Runtime Integrity Protection for Helm Based Applications on Kubernetes Cluster. 2362-2371 - Damjan Gjurovski, Sebastian Michel:
Natural Joins for Schema-free Data. 2372-2380 - Esma Mouine, Yan Liu, Jincheng Sun, Mathieu Nayrolles, Mahzad Kalantari:
The Analysis of Time Series Forecasting on Resource Provision of Cloud-based Game Servers. 2381-2389 - Takuto Ogura, Yoshiki Akita, Yuki Miyazawa, Hideyuki Kawashima:
Accelerating Geo-Distributed Transaction Processing with Fast Logging. 2390-2399 - Sebastiaan Alvarez Rodriguez, Jayjeet Chakraborty, Aaron Chu, Ivo Jimenez, Jeff LeFevre, Carlos Maltzahn, Alexandru Uta:
Zero-Cost, Arrow-Enabled Data Interface for Apache Spark. 2400-2405 - Md Fahim, Swapna S. Gokhale:
Identifying Social Media Content Supporting Proud Boys. 2406-2414 - Saroj Gopali
A Comparison of TCN and LSTM Models in Detecting Anomalies in Time Series Data. 2415-2420 - Zulfiqar Ali Khan, Akbar Siami Namin:
The Applications of Blockchains in Addressing the Integration and Security of IoT Systems: A Survey. 2421-2426 - Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
A Lifecycle for Engineering IoT Neural Network-based Systems. 2427-2433 - Sina Sontowski, Nigel Lawrence, Deepjyoti Deka, Maanak Gupta:
Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids. 2434-2441 - Tasnim Ahmed, Mohsinul Kabir
Am I Being Bullied on Social Media? An Ensemble Approach to Categorize Cyberbullying. 2442-2453 - Lin Ai, Anika Kathuria, Subhadarshi Panda, Arushi Sahai, Yuwen Yu, Sarah Ita Levitan
Identifying the Popularity and Persuasiveness of Right- and Left-Leaning Group Videos on Social Media. 2454-2460 - Iuliia Alieva
Internet Trolls against Russian Opposition: A Case Study Analysis of Twitter Disinformation Campaigns against Alexei Navalny. 2461-2469 - Shankar Biradar
Hate or Non-hate: Translation based hate speech identification in Code-Mixed Hinglish data set. 2470-2475 - Chien-Chih Chen
An Implementation of Fake News Prevention by Blockchain and Entropy-based Incentive Mechanism. 2476-2486 - Md Fahim, Swapna S. Gokhale:
Identifying Social Media Content Supporting Proud Boys. 2487-2495 - Daniel G. Kyrollos
MetaHate: A Meta-Model for Hate Speech Detection. 2496-2502 - Saríah López-Fierro
If it looks, retweets and follows like a troll; Is it a troll?: Targeting the 2021 Ecuadorian Presidential Elections Trolls. 2503-2509 - Xin Pei
Beyond a binary of (non)racist tweets: A four-dimensional categorical detection and analysis of racist and xenophobic opinions on Twitter in early Covid-19. 2510-2515 - Chao Chen, Claudia Peersman, Matthew Edwards, Ziauddin Ursani, Awais Rashid:
AMoC: A Multifaceted Machine Learning-based Toolkit for Analysing Cybercriminal Communities on the Darknet. 2516-2524 - Hung-Yeh Lin, Teng-Sheng Moh, Bryce Westlake
Gun Violence News Information Retrieval using BERT as Sequence Tagging Task. 2525-2531 - Todd Mason, Bing Zhou:
Digital Forensics Process of an Attack Vector in ICS environment. 2532-2541 - Viswajit Vinod Nair, Mark van Staalduinen, Dion T. Oosterman:
Template Clustering for the Foundational Analysis of the Dark Web. 2542-2549 - Nikita Saxena, Vinti Agarwal:
Learning to Detect: A Semi Supervised Multi-relational Graph Convolutional Network for Uncovering Key Actors on Hackforums. 2550-2559 - Andrii Shalaginov, Tor-Morten Grønli:
Securing Smart Future: Cyber Threats and Intelligent Means to Respond. 2560-2564 - Xinyi She, Yuji Sekiya:
A Convolutional Autoencoder Based Method with SMOTE for Cyber Intrusion Detection. 2565-2573 - Abiodun A. Solanke
Pattern Recognition and Reconstruction: Detecting Malicious Deletions in Textual Communications. 2574-2582 - Dane Troyer, Justin Henry, Hoda Maleki, Gokila Dorai, Bethany Sumner, Gagan Agrawal, Jon Ingram:
Privacy-Preserving Framework to Facilitate Shared Data Access for Wearable Devices. 2583-2592 - Matthew Higginbotham, Ethan Franks, Pratchi Roy, Jennifer Lavergne:
A Parallelized DynTARM Algorithm for the Discovery of Predictive Co-Occurrences Within Streaming Time Stamped Data. 2593-2602 - Blake A. Johns, Ryan G. Benton
RARE: Rare Action Rule Exploration. 2603-2610 - Athanasios Tsitsipas, Pascal Schiessle, Lutz Schubert
Scotty: Fast a priori Structure-based Extraction from Time Series. 2611-2620 - H.-H. Phan-Vu, Brigitte Jaumard, Tristan Glatard, Justin Whatley, Sylvain Nadeau:
A Scalable Multi-factor Fault Analysis Framework for Information Systems. 2621-2630 - Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang, Hongyu Zhu, Rishi Sonthalia, Junyuan Lin, Andrea L. Bertozzi, P. Jeffrey Brantingham:
An Analysis of COVID-19 Knowledge Graph Construction and Applications. 2631-2640 - Yurun Ge, Andrea L. Bertozzi:
Active Learning for the Subgraph Matching Problem. 2641-2649 - Alexander Modell, Jonathan Larson, Melissa Turcotte, Anna Bertiger:
A Graph Embedding Approach to User Behavior Anomaly Detection. 2650-2655 - Kang-Yu Ni, Jiejun Xu, Shane Roach, Tsai-Ching Lu, Alexei Kopylov:
Characterizing Disease Spreading via Visibility Graph Embedding. 2656-2661 - Sumit Purohit, Patrick Mackey, William Smith, Madelyn Dunning, Miquette J. Orren, Trevor M. Langlie-Miletich, Rahul D. Deshmukh, Ankur Bohra, Tonya J. Martin, Dan J. Aimone, George Chin:
Transactional Knowledge Graph Generation To Model Adversarial Activities. 2662-2671 - Sumit Purohit, Nhuy Van, George Chin:
Semantic Property Graph for Scalable Knowledge Graph Analytics. 2672-2677 - Thomas K. Tu:
A Constraint Propagation Approach for Identifying Biological Pathways in COVID-19 Knowledge Graphs. 2678-2684 - Dana Warmsley, Samuel D. Johnson:
Influence in Transient Populations. 2685-2690 - Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang
Higher-order Structure Based Anomaly Detection on Attributed Networks. 2691-2700 - Qian Han, Derek Snaidauf:
Comparison of Deep Learning Technologies in Legal Document Classification. 2701-2704 - Yufeng Kou, Chris Knackstedt:
Constraint-based Hierarchical Clustering for Time Sequences. 2705-2711 - Wim De Mulder, Peggy Valcke
The need for a numeric measure of explainability. 2712-2720 - Adam R. Pah, Christian J. Rozolis, David L. Schwartz, Charlotte S. Alexander, SCALES O. K. N. Consortium:
PRESIDE: A Judge Entity Recognition and Disambiguation Model for US District Court Records. 2721-2728 - Haozhen Zhao, Shi Ye
An Empirical Study on Transfer Learning for Privilege Review. 2729-2733 - Haozhen Zhao, Fusheng Wei, Hilary Quatinetz, Han Qin, Adam Dabrowski:
Use Image Clustering to Facilitate Technology Assisted Review. 2734-2736 - Abinash Borah
A GPU Algorithm for Detecting Contextual Outliers in Multiple Concurrent Data Streams. 2737-2742 - Nidia Yadira Vaquera Chavez, Trilce Estrada
PASCAL-G: a Probabilistic Stream Clustering Analysis on Graphs. 2743-2752 - Pietro Daverio, Hassan Nazeer Chaudhry, Alessandro Margara, Matteo Rossi:
Temporal Pattern Recognition in Graph Data Structures. 2753-2763 - Alessio Fino, Alessandro Margara, Gianpaolo Cugola, Marco Donadoni, Edoardo Morassutto:
RStream: Simple and Efficient Batch and Stream Processing at Scale. 2764-2774 - Maryam Shahcheraghi, Trevor Cappon, Samet Oymak, Evangelos E. Papalexakis, Eamonn J. Keogh, Zachary Zimmerman, Philip Brisk:
Matrix Profile Index Approximation for Streaming Time Series. 2775-2784 - Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain
Reducing numerical precision preserves classification accuracy in Mondrian Forests. 2785-2790 - Hongryul Ahn, Inuk Jung, Heejoon Chae, Minsik Oh, Inyoung Kim, Sun Kim:
IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data. 2791-2800 - Zlatan Feric, Nicolas Bohm Agostini
A Secure and Reusable Software Architecture for Supporting Online Data Harmonization. 2801-2812 - Rebecca Leygonie, Guillaume Vimont:
Empirical analysis of the residual information needed for image classification. 2813-2817 - Alex Sartain, Mahmoud El-Haj
The Influence of Social Factors on Mental Health and Wellbeing during the COVID-19 Pandemic. 2818-2827 - Ismael Villanueva-Miranda, Monika Akbar:
Integrating Heterogeneous Data for a Multi-disease Outbreak Detection Framework. 2828-2837 - Zhengjie Xu, Zixiang Zhou, Garrison W. Cottrell, Mai H. Nguyen:
Generalization in Cardiac Image Segmentation. 2838-2847 - Hangu Yeo, Elahe Khorasani, Vadim Sheinin, Ngoc Phuoc An Vo, Octavian Popescu, Petros Zerfos:
Programmatic Database Language Generation for Big Data Applications. 2848-2856 - Hashim Abu-gellban
OnlineDC: Leveraging Temporal Driving Behavior to Facilitate Driver Classification. 2857-2866 - Sven van den Berghe:
A processing architecture for real-time predictive smart city digital twins. 2867-2874 - Johannes Breitenbach, Sara Haileselassie, Christoph Schuerger, Jonas Werner, Ricardo Buettner:
A Systematic Literature Review of Machine Learning Tools for Supporting Supply Chain Management in the Manufacturing Environment. 2875-2883 - Dakshak Keerthi Chandra, Jennifer L. Leopold, Yanjie Fu:
NodeSense2Vec: Spatiotemporal Context-Aware Network Embedding for Heterogeneous Urban Mobility Data. 2884-2893 - Aurora González-Vidal, Paula Gómez-Bernal, José Mendoza-Bernal, Antonio F. Skarmeta:
BIGcoldTRUCKS: a BIG data dashboard for the management of COLD chain logistics in refrigerated TRUCKS. 2894-2900 - Kodai Imanaka, Chiaki Sakama:
Predicting Air Ticket Demand using Deep Neural Networks. 2901-2908 - Ivens Portugal, Paulo Alencar, Donald D. Cowan:
Computational Analysis to Capture Cluster Lifetime Dynamics. 2909-2918 - Joseph D. Preece
A Video Game-Inspired Approach for a Pedestrian Guidance System Within a Railway Station. 2919-2924 - Clara Buire, Geoffrey Scozzaro, Aude Marzuoli, Eric Feron
A Year Into the Pandemic: a Passenger Perspective on its Impact at Paris-Charles de Gaulle Airport. 2925-2935 - Hiroki Tanaka
Clustering of Human Movement Trajectories based on Distributional Representations Derived from Bi-directional LSTM Network with Geographical Coordinates. 2936-2940 - Sikder Tahsin Al-Amin, Carlos Ordonez:
Fast Machine Learning in Data Science with a Comprehensive Data Summarization. 2941-2948 - William F. Godoy
Efficient loading of reduced data ensembles produced at ORNL SNS/HFIR neutron time-of-flight facilities. 2949-2955 - Lucas Hayne, John P. Clyne
Using Neural Networks for Two Dimensional Scientific Data Compression. 2956-2965 - Juliana Hildebrandt, André Berthold, Dirk Habich, Wolfgang Lehner
LCTL: Lightweight Compression Template Library. 2966-2975 - Sudhindra Gopal Krishna, Aditya Narasimhan, Sridhar Radhakrishnan, Richard Veras:
On Large-Scale Matrix-Matrix Multiplication On Compressed Structures. 2976-2985 - Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques. 2986-2991 - Houjun Tang
Tuning Parallel Data Compression and I/O for Large-scale Earthquake Simulation. 2992-2997 - Izzettin Erdem, Ramazan Faruk Oguz, Erdi Olmezogullari, Mehmet S. Aktas
Test Script Generation Based on Hidden Markov Models Learning From User Browsing Behaviors. 2998-3005 - Hao Jiang, Peng Qi, Jingying Zhou, Jack Zhou, Sharath Rao:
A Short Survey on Forest Based Heterogeneous Treatment Effect Estimation Methods: Meta-learners and Specific Models. 3006-3012 - Prachi Agrawal, Narinder Singh Punn
Impact of Attention on Adversarial Robustness of Image Classification Models. 3013-3019 - Seyed Vahid Azhari, Simar Bhamra, Naser Ezzati-Jivan, François Tetreault:
Efficient heap monitoring tool for memory leak detection and root-cause analysis. 3020-3030 - Oceane Bel, Sinjoni Mukhopadhyay, Nathan R. Tallent
WinnowML: Stable feature selection for maximizing prediction accuracy of time-based system modeling. 3031-3041 - Wanghu Chen, Meilin Zhou, Chenhan Zhai, Mengyang Shen, Pengbo Lv, Ali Arshad:
Anomaly detection of high-dimensional sparse data based on Ensemble Generative Adversarial Networks. 3042-3049 - Tejas Dubhir, Mayank Mishra, Rekha Singhal:
Benchmarking of Quantization Libraries in Popular Frameworks. 3050-3055 - Gabriel S. Ferrante
Understanding the state of the Art in Animal detection and classification using computer vision technologies. 3056-3065 - Issam Ghabri, Ladjel Bellatreche, Sadok Ben Yahia
Energy Efficiency vs. Performance of Analytical Queries: The case of Bitmap Join Indexes. 3066-3074 - Catherine Inibhunu, Jennifer Yeung, Aaron Gates, Bradley Chicoine, Carolyn McGregor
A Decoupled Data Pipeline and its Reliability Assessment: Case Study in Extreme Climatic Humans Studies. 3075-3084 - Andreas Krisilias, Nikodimos Provatas, Nectarios Koziris, Ioannis Konstantinou
A Performance Evaluation of Distributed Deep Learning Frameworks on CPU Clusters Using Image Classification Workloads. 3085-3094 - Edmon Begoli, Seung-Hwan Lim, Sudarshan Srinivasan:
Performance Profile of Transformer Fine-Tuning in Multi-GPU Cloud Environments. 3095-3100 - Junwen Liu
Deep-Learning-as-a-Workflow (DLaaW): An Innovative Approach to Enabling Deep Learning in Scientific Workflows. 3101-3106 - Akira Nukada:
Performance Optimization of Allreduce Operation for Multi-GPU Systems. 3107-3112 - Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen:
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds. 3113-3118 - Phanwadee Sinthong
Exploratory Data Analysis with Database-backed Dataframes: A Case Study on Airbnb Data. 3119-3129 - Xin Wang
Large-Scale Causality Discovery Analytics as a Service. 3130-3140 - Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen:
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud. 3141-3146 - Xiantian Zhou, Carlos Ordonez:
Programming Languages in Data Science: a Comparison from a Database Angle. 3147-3154 - Lu Cheng, Li Zhao:
Two-Stage Image Dehazing with Depth Information and Cross-Scale Non-Local Attention. 3155-3162 - Mengmeng Duan, Yan Wang, Lurui Jin, Yuan Wu:
SOF: A Synthetic Occluded Face Dataset. 3163-3169 - Mengmeng Duan, Haoyue Qiu, Zimo Zhang, Yuan Wu:
NTU-DensePose: A New Benchmark for Dense Pose Action Recognition. 3170-3175 - Yiqing Fan, Chaoqun Hong, Xiaodong Wang, Zhiqiang Zeng, Zetian Guo:
Multi-input-output Fusion Attention Module for Deblurring Networks. 3176-3182 - Zetian Guo, Chaoqun Hong, Weiwei Zhuang, Keshou Wu, Yiqing Fan:
CPQN: Central Product Quantization Network for Semi-supervised Image Retrieval. 3183-3190 - Yangsheng Lin, Kai Yan, Xiangcheng Du
Unsupervised Learning Boost Person Re-identification and Real World Application. 3191-3196 - Zihang Liu, Ejian Zhou, Shuwen Yang, Zisong Zhuang, Tianlong Ma:
The anomaly segmentation via dynamic branch fusion. 3197-3202 - Bingyu Tang, Chao Jin, Dongliang Zhang, Quanshi Zheng:
MOtion Human Parsing: A New Benchmark for 3D Human Parsing. 3203-3208 - Zhongce Wang, Chao Jin, Lingzhang Sun, Yunfan Li:
WRDI: A Multimodal Dataset of mmWave Radar Data and Image. 3209-3214 - Huifen Zhou, Chaoqun Hong, Yong Han, Pengcheng Huang, Yanhui Zhuang:
MH Pose: 3D Human Pose Estimation based on High-quality Heatmap. 3215-3222 - Yanhui Zhuang, Chaoqun Hong, Xuebai Zhang, Chaohui Tang, Huifen Zhou:
FESTH: Visual Tracking with Feature Enhancement and Space-time History Frame Networks. 3223-3230 - Cuiling Zhu, Jiucun Yuan, Chengwei Yang:
Prediction of Adult Chronic Kidney Disease with Class-Imbalanced Datasets. 3231-3238 - Yaoyao Fan, Xingfen Wang, Yahui Liu, Zhulu Xu:
Research on Quality Prediction of Typical Workpieces Based on Feature Recombination and XGBoost Algorithm. 3239-3245 - Lin Huo, Weijia Jin:
How Does Movie Production Determine Box Office? Tests of Mediation and Moderation Effects. 3246-3253 - Yang-Guang Li, Mu-Ran Yu, Lu-Xi Li, Han Han, Ying Liu:
Risk identification and default time analysis of corporate bonds. 3254-3258 - Li Li, Yiming Yuan, Fang Liu, Jianjun Wang:
Predicting the next stage of China's household sustainable energy consumption research based on a comparative knowledge graph analysis between China and foreign countries. 3259-3266 - Urjitkumar Patel, Lisa Kim, Antony Papadimitriou:
Financial Forecasting with Clustering Guided Modeling. 3267-3273 - Zhang Wenjing, Zhao Gang:
Temporal and Spatial Attention Network Model Based Evolution Model for Bulk Commodity Price Fluctuation Risk. 3284-3289 - Soham Dasgupta, Aritran Piplai, Priyanka Ranade, Anupam Joshi:
Cybersecurity Knowledge Graph Improvement with Graph Neural Networks. 3290-3297 - Sophia F. Frankel, Krishnendu Ghosh:
Machine Learning Approaches for Authorship Attribution using Source Code Stylometry. 3298-3304 - Jan Gross, Johannes Breitenbach, Waldemar Granson, Daniel Japs, Ardi Reci, Aaron Koengeter, Ricardo Buettner:
A Systematic Literature Review of Data Privacy Solutions for Smart Meter Technologies. 3305-3310 - Dan C. Lo, Hossain Shahriar, Kai Qian, Michael E. Whitman, Fan Wu:
Colab Cloud Based Portable and Shareable Hands-on Labware for Machine Learning to Cybersecurity. 3311-3315 - Shaswata Mitra, Aritran Piplai, Sudip Mittal, Anupam Joshi:
Combating Fake Cyber Threat Intelligence using Provenance in Cybersecurity Knowledge Graphs. 3316-3323 - Laylon Mokry, Paul Slife, Patrick Bishop, Jose Quiroz, Cooper Guzzi, Zhiyuan Chen, Adina Crainiceanu, Don Needham:
Efficient and Privacy-Preserving Collaborative Intrusion Detection Using Additive Secret Sharing and Differential Privacy. 3324-3333 - Priyanka Ranade, Aritran Piplai, Anupam Joshi, Tim Finin
CyBERT: Contextualized Embeddings for the Cybersecurity Domain. 3334-3342 - Madeleine Schneider, David Aspinall, Nathaniel D. Bastian:
Evaluating Model Robustness to Adversarial Samples in Network Intrusion Detection. 3343-3352 - Marvin Schneider, Shawon Rahman
Identifying Protection Motivation Theory Factors that Influence Smartphone Security Measures. 3353-3359 - Marcos Rogério Silveira, Leandro Marcos da Silva
Detection of Newly Registered Malicious Domains through Passive DNS. 3360-3369 - A. K. Singh, Navneet Goyal:
Detection of Malicious Webpages Using Deep Learning. 3370-3379 - Yusen Wu
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning. 3380-3389 - Mary Adkisson, Jeffrey C. Kimmell, Maanak Gupta, Mahmoud Abdelsalam:
Autoencoder-based Anomaly Detection in Smart Farming Ecosystem. 3390-3399 - Bikram Pratim Bhuyan
An Ontological Knowledge Representation for Smart Agriculture. 3400-3406 - Asanee Kawtrakul, Hutchatai Chanlekha, Kitsana Waiyamai, Thanapat Kangkachit, Laurent d'Orazio, Dimitris Kotzinos, Dominique Laurent, Nicolas Spyratos:
Towards Data-and-Innovation Driven Sustainable and Productive Agriculture: BIO-AGRI-WATCH as a Use Case Study. 3407-3415 - Kendall Land, Ambareen Siraj:
Blockchain Based Farm-to-Fork Supply Chain Tracking. 3416-3425 - Oratile Leteane, Yirsaw Ayalew, Tshiamo Motshegwa
A systematic review of traceability issues in beef supply chain management. 3426-3435 - Vung Pham
RDNet: Deep Learning Model for Predicting pH H20 and pHKCl from Soil Vis-NIR Spectra. 3436-3445 - Akinori Abe, Kotaro Fukushima:
How can we collect satisfactory answers in art appreciation experiment? 3446-3455 - Koki Arai:
Data Distribution and Competition Law Issues. 3456-3460 - Yoshiaki Fukami, Takumi Shimizu, Hiroyasu Matsushima
The Impact of Decentralized Identity Architecture on Data Exchange. 3461-3465 - Teruaki Hayashi, Takumi Shimizu, Yoshiaki Fukami, Hiroki Sakaji, Hiroyasu Matsushima
Growing Process of Communities on Data Platforms: Case Analysis of a COVID-19 Dataset. 3466-3471 - Noriyuki Kushiro, Yusuke Ogata:
Supporting Test Case Design on Reasoning Scheme with Natural Language Processing Technique. 3472-3479 - Hiroki Sakaji, Teruaki Hayashi, Yoshiaki Fukami, Takumi Shimizu, Hiroyasu Matsushima
Retrieving of Data Similarity using Metadata on a Data Analysis Competition Platform. 3480-3485 - Rei Taguchi, Hikaru Watanabe, Masanori Hirano
Market Trend Analysis Using Polarity Index Generated from Analyst Reports. 3486-3494 - Naoki Watanabe
A Numerical Study with Experimental Data on Risk-Averse Subcontractors in Procurement Auctions with Subcontract Bids. 3495-3499 - Ryusei Arisawa, Panote Siriaraya, Da Li, Kazutoshi Sumiya, Yukiko Kawai, Shinsuke Nakajima:
A Rival Recommendation Approach for Acoustic AR Running Support System Considering the Athletic Ability of Users. 3500-3502 - Yuhao Chen, Farhana H. Zulkernine:
BIRD-QA: A BERT-based Information Retrieval Approach to Domain Specific Question Answering. 3503-3510 - Catherine Inibhunu, Carolyn McGregor
An Alert Notification Subsystem for AI Based Clinical Decision Support: A Protoype in NICU. 3511-3518 - Munenari Inoguchi:
Development of Prototype System to Generate Chronological Response Scenario Dataset by Assembling Multi-responders' Action Logs at Past Disaster. 3519-3521 - Shotaro Ishihara
Editors-in-the-loop News Article Summarization Framework with Sentence Selection and Compression. 3522-3524 - Yuya Itoh, Shigeo Matsubara:
Adaptive Budget Allocation for Cooperative Task Solving in Crowdsourcing. 3525-3533 - Rina Kagawa, Yukino Baba, Hideo Tsurushima:
A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds. 3534-3543 - Kanta Negishi, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima:
A Skill-based Worksharing Approach for Microtask Assignment. 3544-3547 - Thais Rodrigues Neubauer, Glaucia Pamponet Sobrinho, Marcelo Fantinato
Visualization for enabling human-in-the-loop in trace clustering-based process mining tasks. 3548-3556 - Naofumi Osawa, Hiroyoshi Ito, Yukihiro Fukushima, Takashi Harada, Atsuyuki Morishima:
BUBBLE : A Quality-Aware Human-in-the-loop Entity Matching Framework. 3557-3565 - Hisatoshi Toriya, Ashraf M. Dewan
A Method to Correct Perspective Distortion of Ground Area without Camera Parameters. 3566-3567 - Ayato Watanabe, Keishi Tajima:
Spammer Detection Based on Task Completion Time Variation in Crowdsourcing. 3568-3570 - Yunchong Zhang, Baisong Liu, Jiangbo Qian, Jiangcheng Qin, Xueyuan Zhang, Xueyong Jiang:
An Explainable Person-Job Fit Model Incorporating Structured Information. 3571-3579 - Ying Zhong, Masaki Kobayashi, Masaki Matsubara, Atsuyuki Morishima:
Does Multi-Hop Crowdsourcing Work? A Case Study on Collecting COVID-19 Local Information. 3580-3583 - Jan David Hüwel, Fabian Berns, Christian Beecks:
Automated Kernel Search for Gaussian Processes on Data Streams. 3584-3588 - Tuan-Vinh La, Minh-Son Dao, Kazuki Tejima, Rage Uday Kiran, Koji Zettsu:
Improving the Awareness of Sustainable Smart Cities by Analyzing Lifelog Images and IoT Air Pollution Data. 3589-3594 - Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Context-Aware Data Analytics Variability in IoT Neural Network-Based Systems. 3595-3600 - Do Van Nguyen, Koji Zettsu:
Spatially-distributed Federated Learning of Convolutional Recurrent Neural Networks for Air Pollution Prediction. 3601-3608 - Syed Jawad Hussain Shah, Ahmed Awad Albishri
Deep Learning Framework For Internet Of Things For People With Disabilities. 3609-3614 - Andrew Walker, Daisuke Maeda, Joydeep Acharya:
Lightweight video analytics for cycle time detection in manufacturing. 3615-3618 - Joshua Aaron DeNio, Simone A. Ludwig:
Improving Transaction Speed and Scalability in Blockchain Systems. 3619-3628 - Yuye Han, Hong Chen, Zhijie Qiu, Lei Luo, Gongbin Qian:
A Complete Privacy-Preserving Credit Score System Using Blockchain and Zero Knowledge Proof. 3629-3636 - Yaoguang Huo, Junfeng Ma, Hui Li, Xin Yang, Han Wang, Xiangzhen Meng:
Optimal Copyset in Distributed Object Storage. 3637-3645 - Erico Correia Da Silva, Liria Matsumoto Sato, Edson Toshimi Midorikawa:
Distributed file system for rewriting Big Data files using a local-write protocol. 3646-3655 - Zixian Wang, Hui Li, Han Wang, Zhenwei Xiao, Ping Lu, Zhenyuan Yang, Minglong Zhang, Peter Han Joo Chong:
A Data Lightweight Scheme for Parallel Proof of Vote Consensus. 3656-3662 - Sheila Alemany, Jason Nucciarone, Niki Pissinou:
Jespipe: A Plugin-Based, Open MPI Framework for Adversarial Machine Learning Analysis. 3663-3670 - Katerina B. Antypas, Deborah Bard, Johannes P. Blaschke
Enabling discovery data science through cross-facility workflows. 3671-3680 - António Correia
Determinants and Predictors of Intentionality and Perceived Reliability in Human-AI Interaction as a Means for Innovative Scientific Discovery. 3681-3684 - Bill Kay
Identification of Critical Infrastructure via PageRank. 3685-3690 - Jalal Khalil, Da Yan, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku:
Traffic Study of Shared Micromobility Services by Transportation Simulation. 3691-3699 - Alina Lazar, Ling Jin, Caitlin Brown, C. Anna Spurlock, Alexander Sim
Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions. 3700-3704 - Jeremy Logan
Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse. 3705-3708 - Kara Schatz
Explaining Drug-Discovery Hypotheses Using Knowledge-Graph Patterns. 3709-3716 - Xintong Zhao, Jane Greenberg, Yuan An, Xiaohua Tony Hu:
Fine-Tuning BERT Model for Materials Named Entity Recognition. 3717-3720 - Louai Alarabi, Saleh M. Basalamah, Mohammed Abdalla, Abdeltawab M. Hendawi:
A Holistic Spatial Platform For Managing Infectious Diseases, Case Study on COVID-19 Pandemic. 3721-3730 - Divya Banesh, Nishant Panda
Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks. 3731-3739 - Peter Baumann:
Towards a Model-Driven Datacube Analytics Language. 3740-3746 - Sandro Bimonte, Élodie Edoh-Alove, Fagnine Alassane Coulibaly:
Map4OLAP: A web-based tool for interactive map visualization of OLAP queries. 3747-3750 - Ryoma Kondo, Bojian Du, Yoshiaki Narusue, Hiroyuki Morikawa:
Prioritized Sampling on Knowledge Distillation for Nowcasting Pluvial Flood Prediction. 3751-3754 - Yanbo Pang, Takehiro Kashiyama, Yoshihide Sekimoto:
Development of a Reinforcement Learning based Agent Model and People Flow Data to Mega Metropolitan Area. 3755-3759 - Shirish Patel, Philip J. Rhodes:
Decentralized Storage for Scientific Data. 3760-3769 - Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt
Containerization of Model Fitting Workloads over Spatial Datasets. 3770-3779 - Yifan Zhao, Xian Yang
A Scalable System for Searching Large-scale Multi-sensor Remote Sensing Image Collections. 3780-3783 - Divya Banesh, Natalie Klein
Topological Segmentation and Tracking for Space Weather Modeling. 3784-3788 - Nithin Chalapathi, Youjia Zhou, Bei Wang:
Adaptive Covers for Mapper Graphs Using Information Criteria. 3789-3800 - David B. Damiano, Anbo Wu:
Topological Data Analysis in an Economic Context: Property Tax Maps. 3801-3811 - Thomas Gebhart, Xiaojun Fu
Go with the Flow? A Large-Scale Analysis of Health Care Delivery Networks in the United States Using Hodge Theory. 3812-3823 - Teresa Heiss
The Impact of Changes in Resolution on the Persistent Homology of Images. 3824-3834 - Milad Kiaee, Adam B. Kashlak
Diagnosis of Pediatric Obstructive Sleep Apnea via Face Shape Analysis. 3835-3840 - Hengrui Luo, Justin D. Strait:
Combining Geometric and Topological Information for Boundary Estimation. 3841-3852 - Hengrui Luo, Jisu Kim, Alice Patania
Topological Learning for Motion Data via Mixed Coordinates. 3853-3859 - Rishi R. Verma, Nicholas O. Malott, Philip A. Wilsey:
Data Reduction and Feature Isolation for Computing Persistent Homology on High Dimensional Data. 3860-3864 - Matthew Wheeler, Jose Bouza, Peter Bubenik
Activation Landscapes as a Topological Summary of Neural Network Performance. 3865-3870 - Fouad Alkhoury, Dennis Wegener, Karl-Heinz Sylla, Michael Mock:
Communication efficient distributed learning of neural networks in Big Data environments using Spark. 3871-3877 - Carlos Garcia-Alvarado:
Coxswain: Guided Data Analytics. 3878-3882 - Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta:
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. 3883-3889 - Maria Cristina Vale Tavares, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Towards Automated Variability-Aware Machine-Learning-Based Modeling Analysis. 3890-3896 - Dennis Flathau, Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner:
Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG Data. 3897-3904 - Kimberly Glock, Charlie Napier, Todd Gary, Vibhuti Gupta, Joseph Gigante, William Schaffner
Measles Rash Identification Using Transfer Learning and Deep Convolutional Neural Networks. 3905-3910 - Cong Liu, Dengwang Li, Pu Huang:
ISE-YOLO: Improved Squeeze-and-Excitation Attention Module based YOLO for Blood Cells Detection. 3911-3916 - Alexandru-Ion Marinescu, Horea-Bogdan Muresan, Alina Delia Calin
FREIDA - Fracture Risk Evaluation using Highly Efficient Information Retrieval and Analysis of Large Healthcare Datasets. 3917-3922 - Simone Monaco
Cyst segmentation on kidney tubules by means of U-Net deep-learning models. 3923-3926 - Wenbin Wu, Kai Niu, Zhiqiang He:
R2Net: Recurrent Recalibration Network for Medical Image Segmentation. 3927-3935 - Xian Zhang, Ziyuan Feng, Tianchi Zhong, Sicheng Shen, Ruolin Zhang, Lijie Zhou, Bo Zhang, Wendong Wang:
DRA U-Net: An Attention based U-Net Framework for 2D Medical Image Segmentation. 3936-3942 - Fan Zhang, Bo Zhang, Zheng Zhang, Yue Mi, Jingyun Wu, Haiwen Huang, Xirong Que, Wendong Wang:
MFSL-Net: A Modality Fusion and Shape Learning based Cascaded Network for Prostate Tumor Segmentation. 3943-3949 - Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough:
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing. 3950-3959 - Ciara Blackledge, Amir Atapour-Abarghouei:
Transforming Fake News: Robust Generalisable News Classification Using Transformers. 3960-3968 - Ricardo Buettner, Daniel Sauter, Jonas Klopfer, Johannes Breitenbach, Hermann Baumgartl:
A Review of Recent Advances in Machine Learning Approaches for Cyber Defense. 3969-3974 - Jack Stelling, Amir Atapour-Abarghouei:
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving. 3975-3984 - Cahyadi, Matthew Forshaw:
Hard Disk Failure Prediction on Highly Imbalanced Data using LSTM Network. 3985-3991 - Samuel A. Ajila
Forecasting Air Pollution using a Modified Compositional Learning Approach. 3992-4001 - Wanghu Chen, Yan Sun, Jing Li, Chenhan Zhai, Pengbo Lv, Shengfang Jin:
Spatio-temporal Clustering based on HHT and Its Applications in Thermal Boiler Controlling. 4002-4010 - Ryan Curry, Cameron Trotter
Application of deep learning to camera trap data for ecologists in planning / engineering - Can captivity imagery train a model which generalises to the wild? 4011-4020 - Sheheeda Manakkadu, Srijan Prasad Joshi, Tom Halverson, Sourav Dutta
Top-k User-Based Collaborative Recommendation System Using MapReduce. 4021-4025 - Genevieve Moat, Shirley Coleman:
Survival Analysis and Predictive Maintenance Models for non-sensored Assets in Facilities Management. 4026-4034 - Diego Moya, Sara Giarola, Adam Hawkes:
Geospatial Big Data analytics to model the long-term sustainable transition of residential heating worldwide. 4035-4046 - Neetesh Rathore, Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana:
Multi Scale Graph Wavenet for Wind Speed Forecasting. 4047-4053 - Srini Bhagavan, Mohamed Gharibi, Praveen Rao:
FedSmarteum: Secure Federated Matrix Factorization Using Smart Contracts for Multi-Cloud Supply Chain. 4054-4063 - Jingwei Gan, Shinan Zhang, Chi Zhang, Andy Li:
Automated Counterfactual Generation in Financial Model Risk Management. 4064-4068 - Arunim Garg, David W. Savage, Salimur Choudhury, Vijay Mago
Predicting family physicians based on their practice using machine learning. 4069-4077 - Mohamed Gharibi, Srini Bhagavan, Praveen Rao:
FederatedTree: A Secure Serverless Algorithm for Federated Learning to Reduce Data Leakage. 4078-4083 - Srideepika Jayaraman, Chandra Reddy, Elham Khabiri, Dhaval Patel, Anuradha Bhamidipaty, Jayant Kalagnanam:
Asset Modeling using Serverless Computing. 4084-4090 - Fearghal O'Donncha
Deployment and Management of Time Series Forecasts in Ocean Industry. 4091-4096 - Pranav Sankhe, Elham Khabiri, Bhavna Agrawal, Yingjie Li:
TableNN: Deep Learning Framework for Learning Domain Specific Tabular Data. 4097-4102 - Valerio Bellandi
Correlation and pattern detection in event networks. 4103-4112 - Avishek Bose, Huichen Yang, William H. Hsu, Daniel Andresen:
HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks. 4113-4118 - Luyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Event-based Product Carousel Recommendation with Query-Click Graph. 4119-4125 - Gunjan Mahindre, Rasika Karkare, Randy C. Paffenroth, Anura P. Jayasumana:
A Pre-training Oracle for Predicting Distances in Social Networks. 4126-4135 - Khaled Mohammed Saifuddin, Muhammad Ifte Khairul Islam, Esra Akbas
Drug Abuse Detection in Twitter-sphere: Graph-Based Approach. 4136-4145 - Saigopal Thota, Mridul Jain, Nishad Kamat, Saikiran Malikireddy, Pruthvi Raj Eranti, Albin Kuruvilla:
Building Graphs at a Large Scale: Union Find Shuffle. 4146-4152 - Brendan Donnelly, Thilanka Munasinghe:
Binary Classification Edge Cases in Cyclones Using AlexNet and ResNet Neural Networks. 4153-4155 - Ethan Joseph, Thilanka Munasinghe, Heidi Tubbs, Bhaskar Bishnoi
Scraping Unstructured Data to Explore the Relationship between Rainfall Anomalies and Vector-Borne Disease Outbreaks. 4156-4164 - Sharmad Joshi
Analysis of Preprocessing Techniques, Keras Tuner, and Transfer Learning on Cloud Street image data. 4165-4168 - Pooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljacic, Pulkit Agrawal:
Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning. 4169-4177 - Ryan Laube, Howard J. Hamilton:
Wildfire Occurrence Prediction Using Time Series Classification: A Comparative Study. 4178-4182 - Greg Murray, Thirimachos Bourlai
Mask R-CNN: Detection Performance on SPEED Spacecraft With Image Degradation. 4183-4190 - Joachim Nyborg, Ira Assent
Weakly-Supervised Cloud Detection with Fixed-Point GANs. 4191-4198 - Farshad Safavi, Tashnim Chowdhury, Maryam Rahnemoonfar:
Comparative Study Between Real-Time and Non-Real-Time Segmentation Models on Flooding Events. 4199-4207 - Gregory Saini, Thilanka Munasinghe, Kevin Pan:
Image Classification to identify Transverse Cirrus Band Clouds using Convolutional Neural Networks. 4208-4210 - Argho Sarkar, Maryam Rahnemoonfar:
UAV-VQG: Visual Question Generation Framework on UAV Images. 4211-4219 - Zhaohui Wang:
Entropy Analysis for Clustering Based Lossless Compression of Remotely Sensed Images. 4220-4223 - Valentina Agostini
Clinical gait analysis: a gender medicine perspective. 4224-4226 - Giuseppe Attanasio, Salvatore Greco
E-MIMIC: Empowering Multilingual Inclusive Communication. 4227-4234 - Paolo Bethaz, Khalid Belhajjame, Genoveva Vargas-Solar, Tania Cerquitelli:
DS4ALL: All you need for democratizing data exploration and analysis. 4235-4242 - Federico Caviggioli, Alessandra Colombelli
Star inventors and gender gaps in patented innovations. 4243-4250 - Ishani Chakraborty:
Bayesian model for Fairness in sampling from clustered data and FP-FN error rates. 4251-4259 - Alessandra Colombelli
Green innovative start-ups and gender shares. 4260-4264 - Eduardo Cruz
Estimating urban socioeconomic inequalities through airtime top-up transactions data. 4265-4272 - Justine Fouillé, Thi Lan Huong Nguyen, Baptiste Alix, Brett Becker, Matthieu Rochard, Hélène de Ribaupierre, Laurent d'Orazio:
ASSIST: Article eXtraction and statIstical AnalysiS. 4273-4276 - Olugbenga Iyiola, Monika Akbar:
Demographic Data-driven Deprivation Index for Predicting Chronic Diseases. 4277-4286 - Mariachiara Mecati
Detecting Discrimination Risk in Automated Decision-Making Systems with Balance Measures on Input Data. 4287-4296 - Nishit Patel, David Cancel, Moitrayee Chatterjee
Covid-19 digital Contact-tracing: a doorway to well-being or a backdoor to security vulnerabilities? 4297-4302 - J. David Patón-Romero, Letizia Jaccheri:
hUGe2: An Interdisciplinary Research Program for Sustainability. 4303-4306 - Steve Aibuedefe Aigbe, Christoph F. Eick:
Learning Domain-Specific Word Embeddings from COVID-19 Tweets. 4307-4312 - Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib
Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis. 4313-4322 - Colin Berry:
Compliance with Stay-at-Home Orders During COVID-19. 4323-4326 - Philippe Büdinger, Tor-Morten Grønli:
Unsupervised data mining on spatial-temporal passenger mobility and survey data during Covid-19. 4327-4332 - Serena H. Chen
How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets. 4333-4341 - Mehrdad Fazli, Samuel Sklar, Michael D. Porter
Wastewater-Based Epidemiological Modeling for Continuous Surveillance of COVID-19 Outbreak. 4342-4349 - Lukas Galke
COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research Dynamics. 4350-4355 - Abhirup Ghosh
Mobility-based Individual POI Recommendation to Control the COVID-19 Spread. 4356-4364 - Arvin Hekmati, Bhaskar Krishnamachari, Maja J. Mataric:
Course Scheduling to Minimize Student Wait Times For University Buildings During Epidemics. 4365-4370 - Niloofar Kalantari, Duoduo Liao, Vivian Genaro Motti
Characterizing the Online Discourse in Twitter: Users' Reaction to Misinformation around COVID-19 in Twitter. 4371-4380 - Seung-Hwan Lim, Junghoon Chae, Guojing Cong, Drahomira Herrmannova, Robert M. Patton, Ramakrishnan Kannan, Thomas E. Potok:
Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis. 4381-4386 - Jayalakshmi Mangalagiri, Jones Sam Sugumar, Sumeet Menon, David Chapman, Yaacov Yesha, Aryya Gangopadhyay, Yelena Yesha, Phuong Nguyen:
Classification of COVID-19 using Deep Learning and Radiomic Texture Features extracted from CT scans of Patients Lungs. 4387-4395 - Shahana Nandy, Vishrut Kumar:
My Mind is a Prison: A Boosted Deep Learning approach to detect the rise in depression since COVID-19 using a stacked bi-LSTM CatBoost model. 4396-4400 - Ebelechukwu Nwafor, Ryan Vaughan, Christopher Kolimago:
Covid Vaccine Sentiment Analysis by Geographic Region. 4401-4404 - Philippos Skovelef Orfanoudakis, Paraskevi K. Tzouveli, Stefanos D. Kollias:
Effects of image quality and quantity on building a competitive COVID-19 diagnosis model. 4405-4410 - Shweta Purawat, Subhasis Dasgupta
TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19. 4411-4420 - Lucas Standaert, Thilanka Munasinghe, Dongyoung Jang, Catherine Tate, Sean Lossef, Wilson Wong:
Covid Vaccine Risk Stratification. 4421-4425 - Maryam Taeb
Applying Machine Learning to Analyze Anti-Vaccination on Tweets. 4426-4430 - Jin Cao, Rui Hu:
Scalable Outlier Detection Using Distance Projections. 4431-4440 - Georgios Drakopoulos, Eleanna Kafeza, Phivos Mylonas, Spyros Sioutas:
Approximate High Dimensional Graph Mining With Matrix Polar Factorization: A Twitter Application. 4441-4449 - Kamil Faber
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. 4450-4459 - Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Themis P. Exarchos, Panagiotis Vlamos:
Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson's Disease Omics Data. 4460-4463 - Peiyu Li
Graph-based Clustering for Time Series Data. 4464-4467 - Hayato Nakama, Daichi Amagata, Takahiro Hara:
Approximate Top-k Inner Product Join with a Proximity Graph. 4468-4471 - Wenli Sun, Changgee Chang, Qi Long:
Graph-guided Bayesian SVM with Adaptive Structured Shrinkage Prior for High-dimensional Data. 4472-4479 - Xiaoyan Zhuo, Aekyeung Moon, Jialing Zhang, Seung Woo Son:
Cascaded Dimension Reduction for Effective Anomaly Detection. 4480-4490 - Ibrahim Balogun, Mark Leadingham, Dominique Gulliot, Nii O. Attoh-Okine:
Deep Learning Approach Towards Squat Isolation in a Multi-Embedded Track Geometry Defects. 4491-4495 - Fariha Tahosin Boishakhi, Ponkoj Chandra Shill, Md. Golam Rabiul Alam:
Multi-modal Hate Speech Detection using Machine Learning. 4496-4499 - Ketki Gupte, Linsey Pang, Harshada Vuyyuri, Sujitha Pasumarty:
Multimodal Product Matching and Category Mapping: Text+Image based Deep Neural Network. 4500-4505 - Al Amin Hosain, Huzefa Rangwala, Jana Kosecká:
Improving Sign Video Modeling Using Graph Neural Network. 4506-4513 - Alex Kaplunovich:
COVID-19 Multi-Modal Data Analysis with Alexa Voice and Conversational AI Applications : Voice First System Tracking Novel Coronavirus. 4514-4517 - Emanuela Marasco, Anudeep Vurity
Fingerphoto Presentation Attack Detection: Generalization in Smartphones. 4518-4523 - Debaditya Shome, Tejaswini Kar:
ConOffense: Multi-modal multitask Contrastive learning for offensive content identification. 4524-4529 - Chih-Ying Yang, Kuan-Yu Chen:
A Re-thinking ASR Modeling Framework using Attention Mechanisms. 4530-4536 - Dongyu Zhang, Teng Guo, Shiyu Han, Sadaf Vahabli
Predicting Mental Health Problems with Personality, Behavior, and Social Networks. 4537-4546 - Shubhi Asthana, Pawan Chowdhary, Indervir Singh Banipal, Shikhar Kwatra, Taiga Nakamura:
Joint time-series learning framework for maximizing purchase order renewals. 4547-4550 - Nitish Bahadur, Randy C. Paffenroth:
Dimension Estimation using Second Order data in Finance. 4551-4560 - Gjorgjina Cenikj, Bozhanka Vitanova, Tome Eftimov:
Skills Named-Entity Recognition for Creating a Skill Inventory of Today's Workplace. 4561-4565 - Kin-Hon Ho, Tse-Tin Chan
Do Candlestick Patterns Work in Cryptocurrency Trading? 4566-4569 - Elvys Linhares Pontes, Mohamed Benjannet:
Contextual Sentence Analysis for the Sentiment Prediction on Financial Data. 4570-4577 - Gomathi Sengodan:
Customer Segmentation Using Mobile Phone Usage Data to Reveal Finance Application User's Behavior. 4578-4583 - Nadhem Zmandar, Mahmoud El-Haj
Multilingual Financial Word Embeddings for Arabic, English and French. 4584-4589 - Jing Ao, Swathi Dinakaran, Hongjian Yang, David R. Wright, Rada Chirkova:
Trustworthy Knowledge Graph Population From Texts for Domain Query Answering. 4590-4599 - Stefano Fedeli, Frida Schain, Sana Imtiaz, Zainab Abbas, Vladimir Vlassov:
Privacy Preserving Survival Prediction. 4600-4608 - Edson Lucas
Knowledge-Oriented Graph-Based Approach to Capture the Evolution of Developers' Knowledge. 4609-4612 - Rustam Mehmandarov, Arild Waaler, David B. Cameron
A Semantic Approach to Identifier Management in Engineering Systems. 4613-4616 - Garima Natani, Satoru Watanabe:
Knowledge Graph-based Data Transformation Recommendation Engine. 4617-4623 - Vyacheslav N. Romanov:
Latent Learning with pyroMind.2020. 4624-4627 - Xintong Zhao, Jane Greenberg, Scott McClellan, Yong-Jie Hu
Knowledge Graph-Empowered Materials Discovery. 4628-4632 - Priyanka Annapureddy, Zeno Franco, Praveen Madiraju, Sheikh Iqbal Ahamed, Mark Flower, Md Fitrat Hossain, Md. Romael Haque, Nadiyah Johnson, Sabirat Rubya, Natalie Danielle Baker, Niharika Jain, Otis Winstead:
Identifying Precursors to Long-Term Crisis in Veterans Using Associative Classifier. 4633-4642 - Edmon Begoli, Ian Goethert, Kathryn Knight
A Lakehouse Architecture for the Management and Analysis of Heterogeneous Data for Biomedical Research and Mega-biobanks. 4643-4651 - Nurdan Cetinkaya, Sultan Turhan
Respiratory Rate Prediction Algorithm based on Pulse Oximeter. 4652-4658 - Arun Chauhan, Jagadish D. N., Lakshman Mahto:
Multimodality Data Fusion for COVID-19 Diagnosis. 4659-4666 - Roberto Corizzo
Explainable image analysis for decision support in medical healthcare. 4667-4674 - Caitlin Enright, Theodoros Konstantopoulos, Orlando Pinel Aviles, Jean-Philippe Pierre, Emmanuel Agu:
Passive Smartphone Contact Tracing and Continuous COVID-19 Infection Risk Assessment. 4675-4686 - Jinan Fiaidhi, Petros Zezos, Sabah Mohammed:
Thick Data Analytics for Rating Ulcerative Colitis Severity Using Small Endoscopy Image Sample. 4687-4693 - Michal Gerasimiuk, Dennis L. Shung, Alexander Tong
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data. 4694-4704 - Walter Gerych, Harrison Kim, Joshua DeOliveira, MaryClare Martin, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu:
GAN for Generating User-Specific Human Activity Data From An Incomplete Training Corpus. 4705-4714 - Dae-young Kim, Lavanya Elluri
Trusted Compliance Enforcement Framework for Sharing Health Big Data. 4715-4724 - Ceyhun Koc, Özgün Pinarer, Sultan Turhan
3D Mesh Model Generation from CT and MRI data. 4725-4730 - Hüsnü Murat Koçak
Detecting Transistor Defects in Medical Systems Using a Multi Model Ensemble of Convolutional Neural Networks. 4731-4737 - Sabah Mohammed, Jinan Fiaidhi, Darien Sawyer:
GraphQL Patient Case Presentation using the Problem Oriented Medical Record Schema. 4738-4744 - Yusaku Nitta, Mitchell Borders, Simone A. Ludwig:
Analysis of Gene Expression Cancer Data Set: Classification of TCGA Pan-cancer HiSeq Data. 4745-4752 - Fuad Rahman
Modeling Influenza with a Forest Deep Neural Network Utilizing a Virtualized Clinical Semantic Network. 4753-4760 - Damla Sentürk
Detecting Genetic Disposition of Ethnicity to Autoimmune Diseases via Clustering. 4761-4769 - Sayali Shelke, Emmanuel Agu:
TBI2Vec: Traumatic Brain Injury Smartphone Sensing using AutoEncoder Embeddings. 4770-4779 - Leo Wang, Haiying Shen, Kyle Enfield, Karen Rheuban:
COVID-19 Infection Detection Using Machine Learning. 4780-4789 - Jiawei Wu, Priyanka Annapureddy, Zach Farahany, Praveen Madiraju:
A Machine Learning Approach to Predict Length of Stay for Opioid Overdose Admitted Patients. 4790-4797 - Yunfan Liu, Baoying Ma, Yan Wang:
Study on prediction model of stroke risk based on decision tree and regression model. 4798-4801 - Kalpnil Anjan, William B. Andreopoulos, Katerina Potika
Prediction of higher-order links using global vectors and Hasse diagrams. 4802-4811 - Paulo do Carmo, Ricardo M. Marcacini:
Embedding propagation over heterogeneous event networks for link prediction. 4812-4821 - Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala:
Asynchronous Federated Learning for Sensor Data with Concept Drift. 4822-4831 - Austin Coursey, Gopal Nath
Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks. 4832-4841 - Minh-Son Dao, Dinh-Duy Pham, Manh-Phu Nguyen, Thanh-Binh Nguyen, Koji Zettsu:
MM-trafficEvent: An Interactive Incident Retrieval System for First-view Travel-log Data. 4842-4851 - Jianbing Ding, Xidong Wang, Xiaozhou Ye, Ye Ouyang, Yuanyuan Chai:
TTERCL: An onSite Real-time Alarm Root-Cause Location Algorithm. 4852-4858 - Kushankur Ghosh
On the combined effect of class imbalance and concept complexity in deep learning. 4859-4868 - Sayem Mohammad Imtiaz, Kazi Zakia Sultana, Aparna S. Varde:
Mining Learner-friendly Security Patterns from Huge Published Histories of Software Applications for an Intelligent Tutoring System in Secure Coding. 4869-4876 - Tanqiu Jiang
From Static to Dynamic Prediction: Wildfire Risk Assessment Based on Multiple Environmental Factors. 4877-4886 - Ragini Kihlman, Maria Fasli:
Classifying human rights violations using deep multi-label co-training. 4887-4895 - Junlan Lu, Magdalini Eirinaki
Can a machine win a Grammy? An evaluation of AI-generated song lyrics. 4896-4905 - Priyadarshini Murugan, Younes Karimi
Modeling Longitudinal Behavior Dynamics Among Extremist Users in Twitter Data. 4906-4914 - Stefan Oehmcke
Estimating Forest Canopy Height With Multi-Spectral and Multi-Temporal Imagery Using Deep Learning. 4915-4924 - Pradeep Pallikila, Pamalla Veena, R. Uday Kiran, Ram Avatar, Sadanori Ito
Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases. 4925-4935 - Sophie Pavia
Learning Tabular Embeddings at Web Scale. 4936-4944 - Appan Rakaraddi
Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach. 4945-4954 - Md. Riyadh, M. Omair Shafiq:
Towards Multi-class Sentiment Analysis With Limited Labeled Data. 4955-4964 - Trisha Singhal, Junhua Liu, Luciënne T. M. Blessing, Kwan Hui Lim:
Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling. 4965-4973 - Bharath Sudharsan, John G. Breslin
Imbal-OL: Online Machine Learning from Imbalanced Data Streams in Real-world IoT. 4974-4978 - Tran Anh Khoa
Fed xData: A Federated Learning Framework for Enabling Contextual Health Monitoring in a Cloud-Edge Network. 4979-4988 - Zevin Shaul, Sheikh Naaz:
cgSpan: Closed Graph-Based Substructure Pattern Mining. 4989-4998 - Songyang Zhang
Mi YouTube es Su YouTube? Analyzing the Cultures using YouTube Thumbnails of Popular Videos. 4999-5006 - Xupin Zhang, Hanjia Lyu
Understanding the Hoarding Behaviors during the COVID-19 Pandemic using Large Scale Social Media Data. 5007-5013 - Haitian Zheng, Kefei Wu, Jong-Hwi Park, Wei Zhu, Jiebo Luo
Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach. 5014-5023 - Eric Bax, Frédéric Ouimet
Bounding Means of Discrete Distributions. 5024-5032 - Alessio Bernardo, Emanuele Della Valle:
SMOTE-OB: Combining SMOTE and Online Bagging for Continuous Rebalancing of Evolving Data Streams. 5033-5042 - Vibhav Agarwal, Akansha Bhardwaj, Paolo Rosso, Philippe Cudré-Mauroux
ConvTab: A Context-Preserving, Convolutional Model for Ad-Hoc Table Retrieval. 5043-5052 - John Daniel Bossér, Erik Sörstadius, Morteza Haghir Chehreghani:
Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks. 5053-5062 - Charalampos Chelmis, Wenting Qi:
Hierarchical MultiClass AdaBoost. 5063-5070 - Chang-Han Chiang, Pangfeng Liu, Da-Wei Wang, Ding-Yong Hong
Optimal Branch Location for Cost-effective Inference on Branchynet. 5071-5080 - Alfredo Cuzzocrea, Ernesto Damiani:
Privacy-Preserving Big Data Exchange: Models, Issues, Future Research Directions. 5081-5084 - Wei Dai
Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation. 5085-5094 - Brian Daley, Edoardo Serra, Alfredo Cuzzocrea:
Identifying Malicious Users in the Offshore Leaks Networks via Structural Node Representation Learning. 5095-5101 - Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun
CUP: Cluster Pruning for Compressing Deep Neural Networks. 5102-5106 - Zhiye Fu, Hsing-Kuo Pao, Jiabin He:
Active Learning with Numerical Feature Annotation. 5107-5115 - Badih Ghattas
MapReduce Clustering for Big Data. 5116-5124 - Patrick Giesser, Gabriel Stechschulte, Anna da Costa Vaz, Michael Kaufmann:
Implementing Efficient and Scalable In-Database Linear Regression in SQL. 5125-5132 - Jhalak Gupta, Arijit Khan
Graph Classification with Minimum DFS Code: Improving Graph Neural Network Expressivity. 5133-5142 - Maryam Hasan, Elke A. Rundensteiner, Emmanuel Agu:
DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning. 5143-5152 - Ziqing Hu, Yihao Fang, Lizhen Lin:
Training Graph Neural Networks by Graphon Estimation. 5153-5162 - Najib Ishaq, Thomas J. Howard III, Noah M. Daniels:
Clustered Hierarchical Anomaly and Outlier Detection Algorithms. 5163-5174 - Junfeng Jiao, Seung-Jun Choi, Weijia Xu:
Tracking Property Ownership Variance and Forecasting Housing Price with Machine Learning and Deep Learning. 5175-5184 - Jasmin Lampert
Overcoming Rare-Language Discrimination in Multi-Lingual Sentiment Analysis. 5185-5192 - Paula Lauren:
Constraining Weighted Word Co-occurrence Frequencies in Word Embeddings. 5193-5198 - Thiago de Oliveira Lima, Methanias Colaço Júnior
A Big Data Experiment to Evaluate the Effectiveness of Traditional Machine Learning Techniques Against LSTM Neural Networks in the Hotels Clients Opinion Mining. 5199-5208 - Masoud Malek, Mostafa Haghir Chehreghani, Ehsan Nazerfard, Morteza Haghir Chehreghani:
Shallow Node Representation Learning using Centrality Indices. 5209-5214 - Anifat M. Olawoyin
Open Data Lake to Support Machine Learning on Arctic Big Data. 5215-5224 - Pierrick Pochelu
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks. 5225-5232 - Donghao Qiao, Farhana H. Zulkernine:
Drivable Area Detection Using Deep Learning Models for Autonomous Driving. 5233-5238 - Qudrat E. Alahy Ratul, Edoardo Serra, Alfredo Cuzzocrea:
Evaluating Attribution Methods in Machine Learning Interpretability. 5239-5245 - Shaina Raza, Chen Ding:
Deep Neural Network to Tradeoff between Accuracy and Diversity in a News Recommender System. 5246-5256 - José de S. Ribeiro, Raíssa Lorena Silva da Silva, Lucas Felipe Ferraro Cardoso, Ronnie Alves:
Does Dataset Complexity Matters for Model Explainers? 5257-5265 - Thomas Schlegl, Stefan Schlegl, Amélie Sciberras, Nikolai West, Jochen Deuse
Margin-based Greedy Shapelet Search for Robust Time Series Classification of Imbalanced Data. 5266-5274 - Montasir Shams, Sophie Pavia
Towards Unveiling Dark Web Structured Data. 5275-5282 - Kevin Styp-Rekowski, Claudia Stolle, Ingo Michaelis
Calibration of the GRACE-FO Satellite Platform Magnetometers and Co-Estimation of Intrinsic Time Shift in Data. 5283-5290 - Heng-Ru May Tan, Lisa Pham:
Machine Learning Assisted Troubleshooting Flows. 5291-5300 - Francesco Versaci
Scaling deep learning data management with Cassandra DB. 5301-5310 - Zhaojun Yang, Lan Chen, He Zhang, Zhenjie Yao:
Residual Connection based TPA-LSTM Networks for Cluster Node CPU Load Prediction. 5311-5316 - Hong Yi
AI Tool with Active Learning for Detection of Rural Roadside Safety Features. 5317-5326 - Yifan Zhang, Jiahao Li, Ablan Carlo, Alex K. Manda
Data Regression Framework for Time Series Data with Extreme Events. 5327-5336 - Giacomo Ziffer
Kalman Filtering for Learning with Evolving Data Streams. 5337-5346 - Syed Raza Bashir, Vojislav B. Misic:
Detecting Fake Points of Interest from Location Data. 5347-5356 - Justin Carpenter, Janet Layne, Edoardo Serra, Alfredo Cuzzocrea:
Detecting Botnet Nodes via Structural Node Representation Learning. 5357-5364 - Christophe Cerisara, Alfredo Cuzzocrea:
Unsupervised Risk for Privacy. 5365-5368 - Md. Jobair Hossain Faruk
Malware Detection and Prevention using Artificial Intelligence Techniques. 5369-5377 - Chris Giblin, Sean Rooney, Pascal Vetsch, Adrian Preston:
Securing Kafka with Encryption-at-Rest. 5378-5387 - Joshua Hightower, William Bradley Glisson, Ryan Benton
Classifying Android Applications Via System Stats. 5388-5394 - Duy H. Ho, Yugyung Lee:
Big Data Analytics Framework for Predictive Analytics using Public Data with Privacy Preserving. 5395-5405 - Yuxin Liang, Zhiyong Liu, Yong Song
A Methodology of Trusted Data Sharing across Telecom and Finance Sector under China's Data Security Policy. 5406-5412 - Mohammad Masum, Hossain Shahriar, Hisham Haddad, Md. Jobair Hossain Faruk
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection. 5413-5419 - Anifat M. Olawoyin
Privacy-Preserving Publishing and Visualization of Spatial-Temporal Information. 5420-5429 - Mingming Peng, Max Khanov, Saikeerthi Reddy Madireddy, Hongmei Chi, Esra Akbas
DECADE - Deep Learning Based Content-hiding Application Detection System for Android. 5430-5440 - Miguel Quebrado, Edoardo Serra, Alfredo Cuzzocrea:
Android Malware Identification and Polymorphic Evolution Via Graph Representation Learning. 5441-5449 - Ryan Shivers, Mohammad Ashiqur Rahman
Ride-Hailing for Autonomous Vehicles: Hyperledger Fabric-Based Secure and Decentralize Blockchain Platform. 5450-5459 - Maxime Thouvenot, Olivier Curé, Philippe Calvez:
Preventing Attribute and Entity Disclosures: Combining k-anonymity and Anatomy over RDF Graphs. 5460-5469 - Chen Wang
Deep Fraud Detection on Non-attributed Graph. 5470-5473 - Depeng Xu
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. 5474-5483 - Usman Ahmed, Jerry Chun-Wei Lin
Detection of Trajectory Outliers in Intelligent Transportation Systems. 5484-5490 - Lili Chen, Wensheng Gan, Qi Lin, Jinbao Miao, Chien-Ming Chen
Mining On-shelf High-utility Quantitative Itemsets. 5491-5500 - Tzung-Pei Hong, Hsiu-Wei Chiu, Shih-Feng Huang, Yi-Ting Chen:
Deep-learning-based Extraction of Electronic Component Parameters from Datasheets. 5501-5506 - Gengsen Huang, Wensheng Gan, Shan Huang, Jiahui Chen, Chien-Ming Chen
NSPIS: Mining Negative Sequential Patterns with Individual Support. 5507-5516 - Linh Le, Ying Xie, Sumit Chakravarty, Michael Hales, John Johnson, Tu N. Nguyen:
Analysis of Students' Concentration Levels for Online Learning Using Webcam Feeds. 5517-5523 - Qi Lin, Wensheng Gan, Yongdong Wu, Jiahui Chen, Chien-Ming Chen
Joint Utility and Frequency for Pattern Classification. 5524-5533 - Jinbao Miao, Shicheng Wan, Wensheng Gan, Jiayi Sun, Jiahui Chen:
Targeted High-Utility Itemset Querying. 5534-5543 - Lukasz Sosnowski
Toward automatic assessment of a risk of women's health disorders based on ontology decision models and menstrual cycle analysis. 5544-5552 - Shusaku Tsumoto:
Granular Computing based Comparison of Agglomerative Clustering. 5553-5560 - Shusaku Tsumoto:
Empirical Rule Induction Methods Selection. 5561-5570 - Bri Bumgardner, Farhan Tanvir, Khaled Mohammed Saifuddin, Esra Akbas
Drug-Drug Interaction Prediction: a Purely SMILES Based Approach. 5571-5579 - Ka Ying Chan, Mason Lovett, Yesem Kurt Peker:
Private Blockchain for Visitor Authentication and Access Control. 5580-5586 - Calvin Davis, Jaired Collins, Joshua Fraser, Haoxiang Zhang, Shizeng Yao, Emily Lattanzio, Bimal Balakrishnan, Ye Duan, Prasad Calyam, Kannappan Palaniappan:
3D Modeling of Cities for Virtual Environments. 5587-5596 - Chloe Eggleston, Jeremy Abramson:
Woolery: Extending Frame Semantics to Structured Documents. 5597-5601 - Jeffrey Fairbanks, Andres Orbe, Christine Patterson, Janet Layne, Edoardo Serra, Marion Scheepers:
Identifying ATT&CK Tactics in Android Malware Control Flow Graph Through Graph Representation Learning and Interpretability. 5602-5608 - Cameron McGinley, Sergio A. Salinas Monroy:
Convolutional Neural Network Optimization for Phishing Email Classification. 5609-5613 - Fiona Murphy
A Fine-grain Geospatial and Demographic Analysis of Breast Cancer Patterns in New York State. 5614-5619 - Nhan Nguyen, Avijoy Chakma, Nirmalya Roy:
A Scalable and Domain Adaptive Respiratory Symptoms Detection Framework using Earables. 5620-5625 - George E. Strauch, Jiajian Jax Lin, Jelena Tesic
Overhead Projection Approach For Multi-Camera Vessel Activity Recognition. 5626-5632 - Erica Stutz, Yuri Pradkin, Xiao Song, John S. Heidemann
Visualizing Internet Measurements of Covid-19 Work-from-Home. 5633-5638 - Cade Winters, Justin Ebby Varghese, George Stafford, Fengxiang Zhao, Songxi Chen, Yi Shang:
Creation of EMA-KN - A Knowledge Network for Ecological Momentary Assessment. 5639-5647 - Sokhna A. York, Alina M. Ali, David C. Lashbrooke, Rodrigo Yepez-Lopez, Carlos A. Barajas, Matthias K. Gobbert
Promising Hyperparameter Configurations for Deep Fully Connected Neural Networks to Improve Image Reconstruction in Proton Radiotherapy. 5648-5657 - Andy Zhou, Kazi Zakia Sultana, Bharath K. Samanthula:
Investigating the Changes in Software Metrics after Vulnerability is Fixed. 5658-5663 - Maciej Matraszek, Andrzej Janusz
Predicting Victories in Video Games - IEEE BigData 2021 Cup Report. 5664-5671 - Dymitr Ruta, Ling Cen, Ming Liu, Quang Hieu Vu:
Automated feature engineering for prediction of victories in online computer games. 5672-5678 - KaiShen Tseng:
Predicting Victories in Video Games: Using Single XGBoost with Feature Engineering : IEEE BigData 2021 Cup - Predicting Victories in Video Games. 5679-5682 - Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu:
A combination of general and specific models to predict victories in video games. 5683-5690 - Haitao Xiao, Yuling Liu, Dan Du, Zhigang Lu:
WP-GBDT: An Approach for Winner Prediction using Gradient Boosting Decision Tree. 5691-5698 - Haicheng Chen:
A DQN-based Recommender System for Item-list Recommendation. 5699-5702 - Peng Jiang, Jiafeng Ma, Jianming Zhang:
Deep Reinforcement Learning based Recommender System with State Representation. 5703-5707 - Tzu-Heng Lin, Chen Gao:
Session-aware Item-combination Recommendation with Transformer Network. 5708-5713 - Yuhao Luo, Qianfang Xu, Wenliang Li, Feng Jiang, Bo Xiao:
A multi-step decision prediction model based on LightGBM. 5714-5718 - Minh Pham, Hung Nguyen, Long Dang, Jennifer Adorno Nieves
Compressive Features in Offline Reinforcement Learning for Recommender Systems. 5719-5726 - Shiwen Wu, Jian Zhao:
Interest-aware Item Combination Prediction. 5727-5732 - Fei Zhou, Biao Luo, Tianmeng Hu, Zihan Chen, Yilin Wen:
A Combinatorial Recommendation System Framework Based on Deep Reinforcement Learning. 5733-5740 - Alabi Bojesomo
Spatiotemporal Vision Transformer for Short Time Weather Forecasting. 5741-5746 - Sungbin Choi:
UNet based future weather prediction on Weather4cast 2021 stage 2. 5747-5749 - Pedro Herruzo, Aleksandra Gruca, Llorenç Lliso, Xavier Calbet
High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021. 5750-5757 - Pak Hay Kwok, Qi Qi:
Enhanced Variational U-Net for Weather Forecasting. 5758-5763 - Jussi Leinonen:
Improvements to short-term weather prediction with recurrent-convolutional networks. 5764-5769 - Ali Abdin:
Applying self-normalizing neural networks to tackle data-driven soft sensing problems in manufacturing lines. 5770-5773 - Aryan Narayan, Bodhi Satwa Mishra, P. G. Sunitha Hiremath, Neha Tarannum Pendari, Shankar Gangisetty:
An Ensemble of Transformer and LSTM Approach for Multivariate Time Series Data Classification. 5774-5779 - Sergei Petrov, Chao Zhang
IEEE BigData 2021 Cup: Soft Sensing at Scale. 5780-5785 - Neeta Shinde, Chandana S, Shashank Anand Patil, K. Siri Chandana, Neha Tarannum Pendari, P. G. Sunitha Hiremath, Shankar Gangisetty:
Stacked LSTM Based Wafer Classification. 5786-5790 - Milad Aghajohari, Mohammad Sadegh Akhondzadeh, Saleh Ashkboos, Kamran Chitsaz:
Degree-based Feature Is All You Need: Science4Cast Report. 5791-5794 - Francisco Andrades, Ricardo Ñanculef:
A Method to Predict Semantic Relations on Artificial Intelligence Papers. 5795-5800 - Harlin Lee, Rishi Sonthalia, Jacob G. Foster:
Dynamic Embedding-based Methods for Link Prediction in Machine Learning Semantic Network. 5801-5808 - Yichao Lu:
Predicting Research Trends in Artificial Intelligence with Gradient Boosting Decision Trees and Time-aware Graph Neural Networks. 5809-5814 - João P. Moutinho, Bruno C. Coutinho
Network-based link prediction of scientific concepts - a Science4Cast competition entry. 5815-5819 - Nima Sanjabi:
Efficiently Predicting Scientific Trends Using Node Centrality Measures of a Science Semantic Network. 5820-5823 - Ngoc Mai Tran, Yangxinyu Xie
Improving random walk rankings with feature selection and imputation Science4cast competition, team Hash Brown. 5824-5827 - Francisco Valente
Link Prediction of Artificial Intelligence Concepts using Low Computational Power. 5828-5832 - Arman Abdoli, Mohammad Reza Majma, Parisa Rahmani:
Can Time Series Data Mining Facilitate Wider Adoption of Mobile Health? 5833-5835 - Wali Mohammad Abdullah, David Awosoga
Intersection Representation of Big Data Networks and Triangle Counting. 5836-5838 - Aws Naser Jaber Al:
Efficient Visualization Framework for Real-Time Monitoring Network Traffic of High-Speed Networks. 5839-5842 - Nariman Ammar, Parya Zareie, Marion E. Hare, Lisa Rogers, Sandra Madubuonwu, Jason Yaun, Arash Shaban-Nejad
SPACES: Explainable Multimodal AI for Active Surveillance, Diagnosis, and Management of Adverse Childhood Experiences (ACEs). 5843-5847 - Eric Bax:
When to Re-Draw a Sample, and Why. 5848-5850 - Alberto Berenguer, Jose-Norberto Mazón, David Tomás:
Towards a tabular open data search engine for public sector information. 5851-5853 - Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad
UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research. 5854-5858 - Mai Bui, Lin-Ching Chang, Hang Liu, Qi Zhao, Genshe Chen:
Comparative Study of 3D Point Cloud Compression Methods. 5859-5861 - Nikolas Burzynski, Yuhao Yuan
Deep Learning Techniques for Unmixing of Hyperspectral Stimulated Raman Scattering Images. 5862-5864 - Gonçalo Carvalho
A holistic data modeling approach for multi-database systems. 5865-5867 - Sangwhan Cha, Yunze Tian, Majid Shaalan, Jeongwoo Hyun, Ki H. Lee:
Implementation of Prototype Environment of Virtual Reality Platform for Virtual Lab (Use case of ESL). 5868-5870 - Yin-Hei Chan, Andrew Kwok-Fai Lui
Leveraging data sampling patterns in data-driven traffic characteristic modeling. 5871-5873 - Jae-Ho Choi, Jin Young Choi, Eun-Ju Ha:
Data Mining Approach for Characterizing Construction Accidents. 5874 - Tiago Coelho, Álvaro Figueira
Analysis of Top-Ranked HEI Publications' Strategy on Twitter. 5875-5877 - Dev Dave, Vaibhav K. Anu
Automating the Classification of Requirements Data. 5878-5880 - Jose Delgado, Xingquan Zhu, Karin Scarpinato
Understanding and Predicting Faculty Success in Winning Grant Awards. 5881 - Lamine Diop, Cheikh Ba:
Parallelization of Sequential Pattern Sampling. 5882-5884 - Xueqin Du, Yulin He, Joshua Zhexue Huang:
Random Sample Partition-Based Clustering Ensemble Algorithm for Big Data. 5885-5887 - Adiel Felsen, Yuhao Yuan
Cell Nuclei and Lipid Droplets Quantification in Stimulated Raman Images. 5888-5890 - Natasia Fernandez, Vaibhav K. Anu
Text Mining Algorithms for Cancer Diagnostics. 5891-5893 - Terrence P. Fries:
Big Data Analytics Using Fuzzy Clustering for Network Security. 5894-5896 - Naomichi Fukuda, Kenichi Kourai, Saneyasu Yamaguchi:
Improvement of ARC Considering Negative Locality of Reference in Virtualized Environment. 5897-5899 - Angela Geronazzo, Markus Ziegler:
QMLEx: Data Driven Digital Transformation in Marketing Analytics. 5900-5902 - Britnie Gonzalez-Moodie, Shane Daiek, Jorge Lorenzo-Trueba, Aparna S. Varde:
Multispectral Drone Data Analysis on Coastal Dunes. 5903-5905 - Tanya Graham, Sean Thorpe, Alphanso Murray, Ronald Brown:
Adaptive Biometric Cloud Facial Aging Template Policy - A Time Point Analysis. 5906-5908 - Hafsa El Hafyani, Mohammad Abboud
A Microservices Based Architecture for Implementing and Automating ETL Data Pipelines for Mobile Crowdsensing Applications. 5909-5911 - Hongxuan Huang, Qingyuan Linghu, Fan Zhang, Dian Ouyang, Shiyu Yang:
Truss Decomposition on Multilayer Graphs. 5912-5915 - Shizuku Iida, Kazuo Hara:
Finding Experiential Stress in Tweets by Utilizing both Explicit and Implicit Stress Data. 5916-5918 - Peiquan Jin, Xiangyu Zhuang, Yongping Luo
Exploring Index Structures for Zoned Namespaces SSDs. 5919-5922 - Atsuki Kamo, Saneyasu Yamaguchi:
I/O Performance Improvement with Striping File Layout Considering Storage of Intermediate Data. 5923-5925 - Amulya Kantharaj, Alireza Abdoli:
Improving Aviation and Flight Safety By Analyzing Surveillance Data. 5926-5928 - Yasuko Kawahata:
Case Study of Mobility Trends in Daily Life in a Motorized City Using Spatiotemporal Information. 5929-5931 - Kaito Kawashima, Saneyasu Yamaguchi:
Understanding Language Model from Questions in Social Studies for Students. 5932-5934 - Jalal Khalil, Da Yan, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku:
Realistic Transport Simulation for Studying the Impacts of Shared Micromobility Services. 5935-5937 - Soumya Snigdha Kundu:
A Distributed Deep Learning Framework for Federated Big Medical Image Analysis. 5938-5940 - Seungjoo Lee, Minsoo Park:
Understanding EV Market Trend: Using Time Series Dynamic Topic Modeling with Youtube Data. 5941-5943 - Rui Li, Weitian Wang:
Augmenting the Communication Naturalness via A 3D Audio-Visual Virtual Agent for Collaborative Robots. 5944-5946 - Qiyu Li, Reza Langari:
Myoelectric Human Computer Interaction Using CNN-LSTM Neural Network for Dynamic Hand Gestures Recognition. 5947-5949 - Keqian Li, Kevin Yen, Shaunak Mishra, Yifan Hu, Changwei Hu, Manisha Verma:
BAN: Large Scale Brand ANonymization for Creative Recommendation via Label Light Adaptation. 5950-5952 - Keqian Li, Yifan Hu, Manisha Verma, Fei Tan, Changwei Hu, Tejaswi Kasturi, Kevin Yen:
Hadoop-MTA: a system for Multi Data-center Trillion Concepts Auto-ML atop Hadoop. 5953-5955 - Jiamu Li, Ji Zhang, Jian Wang, Youwen Zhu, Mohamed Jaward Bah, Gaoming Yang
VAGA: Towards Accurate and Interpretable Outlier Detection Based on Variational Auto-Encoder and Genetic Algorithm for High-Dimensional Data. 5956-5958 - Yao Li, Zhenxiao Luo, Chunxu Tang, Mainak Ghosh, Huijun Wu, Lu Zhang, Anneliese Lu, Ruchin Kabra, Nikhil Kantibhai Navadiya, Prachi Mishra, Prateek Mukhedkar, Vrushali Channapattan:
A Performance Evaluation of Spark GraphFrames for Fast and Scalable Graph Analytics at Twitter. 5959 - Zexuan Lyu, Yuchen Wang, Chao Li, Guigang Zhang, Chunmei Huang, Li Zheng, Mengyuan Du, Yongbo Wang, Qin Chen, Weimin Li:
DaaS: Internet-perception big data systems based on AI. 5960-5962 - Filip Markoski, Lasko Basnarkov, Biljana Risteska Stojkoska, Petre Lameski, Eftim Zdravevski
Are central-zone restaurants better for consumers? -An analytical approach. 5963-5965 - Jose-Norberto Mazón, Rob Brennan
Overcoming misattribution to understand open data reuse in smart cities. 5966-5968 - Orestis Rafail Nerantzis, Apostolos Tselios, Alexandros Karakasidis:
MI-OPJ: A Microservices-based Online Programming Judge. 5969-5971 - Valsamis Ntouskos, Chrysa Iliopoulou, Konstantinos Karantzalos:
Production Machine Learning Frameworks for Geospatial Big Data. 5972-5974 - Antonio Iyda Paganelli, Adriano Branco, Markus Endler, Pedro Elkind Velmovitsky, Pedro Miranda, Plinio Pelegrini Morita, Paulo Alencar, Donald D. Cowan:
IoT-Based COVID-19 Health Monitoring System: Context, Early Warning and Self-Adaptation. 5975-5977 - Admitos-Rafael Passadakis, Anastasios Vlachos, Paraskevi K. Tzouveli, Stefanos D. Kollias:
Extracting geographical characteristics about COVID-19 evolution worldwide using machine learning. 5978-5981 - Dhaval Patel, Shuxin Lin, Srideepika Jayaraman, Giridhar Ganapavarapu, Anuradha Bhamidipaty, Jayant Kalagnanam:
Scaling Anomaly Detection Service Using Serverless Technology. 5982-5984 - Marius E. Penteliuc
Processing Large Satellite Imagery to Estimate Solar Irradiance. 5985-5987 - Thanapol Phungtua-Eng
Dynamic Binning for the Unknown Transient Patterns Analysis in Astronomical Time Series. 5988-5990 - Thejas Prasad, Shakeel Rashed:
Real World Data for Clinical Trials Designs using Machine Learning. 5991-5993 - Torsten Priebe, Sebastian Neumaier
Finding Your Way Through the Jungle of Big Data Architectures. 5994-5996 - Janani Priyanka, Daniel Cheriyan, Jae-Ho Choi:
Issues with Current Pm Monitoring Techniques and Control Measures and the Way Forward Using Big Data. 5997 - Linli Qi, Peiquan Jin, Shouhong Wan:
Efficient Selectivity Estimation for Relation-Tree Joins in Multi-Model Databases. 5998-6002 - Jai Radhakrishnan, Martin Collazo, Daniel Uyematsu, Mariam Salloum, Yunfei Hou
Towards Predicting Bus On-Time Performance in the Inland Empire. 6003-6005 - Hani Ramadhan, Joonho Kwon:
Enhancing Learned Index for A Higher Recall Trajectory K-Nearest Neighbor Search. 6006-6007 - Mathieu Roche, Maguelonne Teisseire:
Integrating Textual Data into Heterogeneous Data Ingestion Processing. 6008-6010 - Mirza Tanzim Sami, Da Yan, Huang Huang, Xinyu Liang, Guimu Guo, Zhe Jiang
Drone-Based Tower Survey by Multi-Task Learning. 6011-6013 - Tomoya Sasaki, Arisa Nakamura, Jun-Ichi Harasawa, Kazuo Hara, Ikumi Suzuki, Tatsuhiro Takahashi:
Bayesian Optimization With an Auxiliary Classifier for the Development of Polymer Materials. 6014-6016 - Abhishek Saxena
Analysis of the New York City's Vehicle Crash Open Data. 6017-6019 - Lisa Singh, Colton Padden, Pamela Davis-Kean, Rabin David, Virinche Marwadi, Yiqing Ren, Rebecca Vanarsdall:
Text Analytic Research Portals: Supporting Large-Scale Social Science Research. 6020-6022 - Gregory Smith, Sondria Miller:
Impact of Organizational Factors on Big Data Analytics Adoptions in U.S. Public Sector Organizations. 6023-6025 - Osvaldo Gogliano Sobrinho, Liedi Ledi Mariani Bernucci, Pedro Luiz Pizzigatti Corrêa, Rosângela dos Santos Motta, Jeaneth Machicao
Big data analytics in support of the under-rail maintenance management at Vitória - Minas Railway. 6026-6028 - Jianxin Sui, Xiao Ling, Xing Xiang, Genwei Zhang, Xiangchi Zhang:
Transformer Oil Temperature Prediction Based on Long and Short-term Memory Networks. 6029-6031 - Saba Syed, Vaibhav K. Anu
Digital Evidence Data Collection: Cloud Challenges. 6032-6034 - Xinlan Tan, Zaid Shaikh, Alice Mello, Fiona Creed:
The UN General Assembly Voting Coincidence and Clustering Analysis. 6035-6037 - Vui Huang Tea
Relationship Discovery Graph of EU COVID Unique Vaccination Certificate Identifier (UVCI). 6038-6039 - Sean Thorpe, Horrett Scarlett:
Towards a Cyber Aware Chatbot Service. 6040-6042 - Sami Uddin, Bipasha Banerjee, Jian Wu, William A. Ingram
Building A Large Collection of Multi-domain Electronic Theses and Dissertations. 6043-6045 - Kambiz Vahedi, Khadijeh Afhamisisi:
Cloud Based Malware Detection Through Behavioral Entropy. 6046-6048 - Pedro Elkind Velmovitsky, Paulo Alencar, Scott T. Leatherdale, Donald D. Cowan, Plinio Pelegrini Morita:
Towards Real-Time Public Health: A Novel Mobile Health Monitoring System. 6049-6051 - Ziwei Wang, Minzhu Zhao
A Study of Cantonese Covid-19 Fake News Detection on Social Media. 6052-6054 - Jieling Wu
Big Data Analysis for Predicting Post-Earthquake Municipal Road Recovery. 6055 - Ryuta Yamaguchi, Panote Siriaraya, Da Li, Tomoki Yoshihisa, Shinji Shimojo, Yukiko Kawai:
A Proposal of Data Collection by Mobility Users on Real-time for e-Bike Navigation System. 6056-6057 - Toshiki Yamaguchi, Kazuo Hara, Ikumi Suzuki:
Robust Method to Convert HIRAGANA Sequences into Japanese Text. 6058-6060 - Zhenjie Yao, Yixin Chen, Jinwei Wang, Shouling Wu, Yanhui Tu, Minghui Zhao, Luxia Zhang:
Trend Analysis Neural Networks for Interpretable Analysis of Longitudinal Data. 6061-6063 - Jiayin Yu, Yulin He, Joshua Zhexue Huang:
A Two-Stage Missing Value Imputation Method Based on Autoencoder Neural Network. 6064-6066 - Chao Zhang
Learning from Failures in Large Scale Soft Sensing. 6067-6070 - Ethan Zhu, Dingding Wang:
Small Data for Cyberbullying Prediction. 6071 - Mengmeng Zhu, Shouhong Wan, Peiquan Jin, Qijun Tian:
A Feature Fusion Method Based on Multi-Classification Losses for Fine-Grained Visual Categorization. 6072-6074
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