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11th DSAA 2024: San Diego, CA, USA
- 11th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2024, San Diego, CA, USA, October 6-10, 2024. IEEE 2024, ISBN 979-8-3503-6494-1
- Cheng Liu, Xuyang Yan, Zekun Zhang, Cheng Ding, Tianhao Zhao, Shaya Jannati, Cynthia Martinez, Dietrich Stout:
Human Stone Toolmaking Action Grammar (HSTAG): A Challenging Benchmark for Fine-Grained Motor Behavior Recognition. 1-8 - Neha Pant, Durga Toshniwal, Bhola Ram Gurjar:
Forecasting Dissolved Oxygen Based on Two-Stage Decomposition with BiLSTM-Attention and weighted Huber Loss Function. 1-10 - Grigorios Chrysos:
Architecture Design: From Neural Networks to Foundation Models. 1-3 - Alibek Zhakubayev, Greg Hamerly:
Beta k-Means: Accelerating k-Means Using Probabilistic Cluster Filtering. 1-10 - Farhan Tanvir, Khaled Mohammed Saifuddin, Tanvir Hossain, Arunkumar Bagavathi, Esra Akbas:
HeTAN: Heterogeneous Graph Triplet Attention Network for Drug Repurposing. 1-10 - Autumn Toney-Wails, Lisa Singh:
Let Me Generate That for You: Generative Data Augmentation for Misinformation Detection in Low-Resource Environments. 1-11 - Do Hyung Kim, Joonsung Lee, Taehwi Lee, Soeun Baek, Seonghyun Jin, Haeun Yoo, Youngeun Cho, Seonghyeon Park, Kwangsu Cho, Chang-Gun Lee:
AI-Based Mental Health Assessment for Adolescents Using Their Daily Digital Activities. 1-10 - Mengli Yu, Yizhunan Zhou, Jiahui Wang, Zhenkun Zhou:
PsyPrompt: LLM Prompt Patterns for Goal Contents Pursuit on Social Media. 1-8 - Yuheng Wu, Xingyu Zhu, Wenxu Zhao, Xiaona Xia
:
A Novel Particle Swarm Optimization Algorithm for Meta-Heuristic Analysis Mechanism Based on Population Learning Strategies and Adaptive Selection of Leadership Particles. 1-9 - Polina Proskura, Alexey Zaytsev:
Beyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weighting. 1-8 - Yingtie Lei, Jia Yu, Yihang Dong, Changwei Gong, Ziyang Zhou, Chi-Man Pun:
UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement. 1-10 - Guohao Feng, Songyan Han, Qin Wei, Haisheng Hui, Yu Bai, Yongqiang Cheng, Jianxia Liu:
Predicting the Survival Period of Non-Small Cell Lung Cancer Based on Deep Learning. 1-7 - Alibek Zhakubayev, Greg Hamerly:
Using Annealing to Accelerate Triangle Inequality k-means. 1-9 - Parichit Sharma, Sarthak Mishra, Hasan Kurban, Mehmet M. Dalkilic:
$p$-ClustVal: A Novel $p$-Adic Approach for Enhanced Clustering of High-Dimensional scRNASeq Data (Extended Abstract). 1-3 - Fynn Oldenburg, Qiwei Han, Maximilian Kaiser:
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape. 1-10 - Rafael Teixeira, Mário Antunes, João Paulo Barraca, Diogo Gomes, Rui L. Aguiar:
Rethinking Security: The Resilience of Shallow ML Models (Extended Abstract). 1-2 - Christoph Düsing, Philipp Cimiano, Benjamin Paaßen:
Leveraging Local Data Sampling Strategies to Improve Federated Learning (Extended Abstract). 1-2 - Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu:
MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection. 1-10 - Youness Diouane, Frederic Schoenberg, George Mohler:
Accurate Estimation of Cross-Excitation in Multivariate Hawkes Process Models of Infectious Diseases. 1-8 - Emily Schiller, Simon Müller, Kathrin Ebertsch, Jan-Philipp Steghöfer:
No Data Left Behind: Exogenous Variables in Long-Term Forecasting of Nursing Staff Capacity. 1-10 - Haisheng Hui, Xueying Zhang, Fenglian Li, Zelin Wu:
Stroke-CVAE-CGAN: A Medical Imaging Data Augmentation Network Incorporating Stroke Lesion Distribution. 1-10 - Atharv Tiwari, Shreyash Chatterjee, Siddharth Padmakumar, Sushanth Nair, Bhaskarjyoti Das:
Statistically Inspired Discrepancy Detection for Anomalous Spatio-Temporal Graphs (Extended Abstract). 1-2 - Shiyin Wang, Huafeng Liu, Qiong Wang, Yichao Zhou, Yazhou Yao:
SMP-Track: SAM in Multi-Pedestrian Tracking. 1-9 - Sarah Alnegheimish, Linh Nguyen, Laure Berti-Équille, Kalyan Veeramachaneni:
Can Large Language Models be Anomaly Detectors for Time Series? 1-10 - Georg Stefan Schlake, Christian Beecks:
Validating Arbitrary Shaped Clusters - A Survey. 1-12 - Tahani Aladwani, Christos Anagnostopoulos, Shameem Puthiya Parambath, Fani Deligianni:
CL-FML: Cluster-Based & Label-Aware Federated Meta-Learning for On-Demand Classification Tasks. 1-10 - Jan David Hüwel, Christian Beecks:
Discovering Structural Regularities in Time Series via Gaussian Processes. 1-10 - Xiyao Cheng, Lakshmi Srinivas Edara, Yuanxun Zhang, Mayank Kejriwal, Prasad Calyam:
Influence Role Recognition and LLM-Based Scholar Recommendation in Academic Social Networks. 1-11 - Eamonn J. Keogh:
Time Series Data Mining: A Unifying View. 1-3 - Simone D'Amico, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Filippo Pallucchini:
Alignment of Multilingual Embeddings to Estimate Job Similarities in Online Labour Market. 1-10 - Ashish Kumar, Durga Toshniwal:
Local Hierarchy-Aware Text-Label Association for Hierarchical Text Classification. 1-10 - Zhichao Hou, Minhua Lin, MohamadAli Torkamani, Suhang Wang, Xiaorui Liu:
Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier. 1-2 - Ashley Klein, Edward Raff, Elisabeth Seamon, Lily Foley, Timothy Bussert:
More Options for Prelabor Rupture of Membranes, A Bayesian Analysis. 1-9 - Yuchong Yao, Nandakishor Desai, Marimuthu Palaniswami:
Masked Contrastive Representation Learning for Self-Supervised Visual Pre-Training. 1-10 - Mohammed Rakib, Adil Aman Mohammed, D. Cole Diggins, Sumit Sharma, Jeff Michael Sadler, Tyson Ochsner, Arun Bagavathi:
MIS-ME: A Multi-Modal Framework for Soil Moisture Estimation. 1-10 - Zifan Peng, Mingchen Li, Yue Wang, Daniel Y. Mo:
Prompt-Based Contrastive Learning to Combat the COVID-19 Infodemic. 1 - Mert Onur Cakiroglu, Hasan Kurban, Elham Khorasani Buxton, Mehmet M. Dalkilic:
A Novel Discrete Time Series Representation with De Bruijn Graphs for Enhanced Forecasting Using TimesNet (Extended Abstract). 1-3 - Nícolas Roque dos Santos, Diego Minatel, Alan Demétrius Baria Valejo, Alneu de Andrade Lopes:
Semi-Supervised Coarsening of Bipartite Graphs for Text Classification via Graph Neural Network. 1-10 - Annat Koren, Chandler Underwood, Edoardo Serra, Francesca Spezzano:
Evaluating the Robustness of Fake News Detectors to Adversarial Attacks with Real User Comments (Extended Abstract). 1-2 - Karanjot Singh Saggu, Paula Branco, Guy-Vincent Jourdan:
Improving GNN-Based Methods for Scam Detection in Bitcoin Transactions - A Practical Case Study. 1-10 - Duong Nguyen, Ana Ulianovici, Sami Achour, Soline Aubry, Nicolas Chesneau:
Magazine Supply Optimization: A Case-Study. 1-10 - Damien A. Dablain, Nitesh V. Chawla:
Data Augmentation's Effect on Machine Learning Models when Learning with Imbalanced Data. 1-10 - Xingyu Li, Yige Yao, Jianming Hu, Zhidong Deng:
An Online Calibration Method for Robust Multi-Modality 3D Object Detection. 1-10 - Naheed Anjum Arafat, Ehsan Bonabi Mobaraki, Arijit Khan, Yllka Velaj, Francesco Bonchi:
Estimate and Reduce Uncertainty in Uncertain Graphs. 1-12 - Antonina Krajewska, Ewa Niewiadomska-Szynkiewicz:
Efficient Data Completion and Augmentation. 1-10 - Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz:
Coded Term Discovery for Online Hate Speech Detection. 1-10 - Tianran Chen, Chen Chen, Yichao Zhou, Xiyuan Hu:
Global-Local Unified Cross-View Enhancing Framework for Person Re-Identification. 1-9 - Nawaf Abdualziz Almolhis:
An Biometric Model for Iris Images Segmentation and Deep Learning Classification. 1-6 - Zhengyang Fan, Wanru Li, Kathryn Blackmond Laskey, Kuo-Chu Chang:
Towards Personalized Anti-Phishing: Counterfactual Explanation Approach - Extended Abstract. 1-2 - Daniel Ebi, Edouard Fouché, Marco Heyden, Klemens Böhm:
MicroPPO: Safe Power Flow Management in Decentralized Micro-Grids with Proximal Policy Optimization. 1-10 - Roland Oruche, Marcos Zampieri, Prasad Calyam:
Deep Contrastive Active Learning for Out-of-domain Filtering in Dialog Systems. 1-10 - Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder:
Transparent Neighborhood Approximation for Text Classifier Explanation by Probability-Based Editing. 1-10 - Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam:
UPDATE: Mining User-News Engagement Patterns for Dual-Target Cross-Domain Fake News Detection. 1-10 - Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu:
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. 1-10 - Bernard Atiemo Asare, Paula Branco, Iluju Kiringa, Tet Yeap:
AddShare+: Efficient Selective Additive Secret Sharing Approach for Private Federated Learning. 1-10 - Yu Bai, Songyan Han, Qin Wei, Haisheng Hui, Guohao Feng, Yongqiang Cheng, Jianxia Liu:
Deep Learning-Based Prediction of Driver Genes in Non-Small Cell Lung Cancer. 1-8 - Juan C. Armijos, Garik Avagyan, Carson K. Leung, Jasmine J. Tabuzo, Aivee F. Teodocio:
A Metaverse Platform for Air Pollution Analysis in Supporting Smart and Sustainable City Development. 1-10 - Huanhuan Xu, Xiyuan Hu, Yichao Zhou:
Inter-Frame Multiscale Probabilistic Cross-Attention for Surveillance Object Detection. 1-9 - Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin:
Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. 1-10 - Muhammad Fawad Akbar Khan, Max Ramsdell, Ha Nguyen, Hamid Karimi:
Human Evaluation of GPT for Scalable Python Programming Exercise Generation. 1-10 - Armel Soubeiga, Violaine Antoine, Sylvain Moreno:
Multi-View Relational Evidential C-Medoid Clustering with Adaptive Weighted. 1-10 - Panagiotis Papapetrou, Zed Lee:
Interpretable and Explainable Time Series Mining. 1-3 - Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu:
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. 1-10 - Trisk Bell, Dan Li:
Diffusion Models for Cross-Domain Image-to-Image Translation with Paired and Partially Paired Datasets. 1-8 - Farhan Ullah, Gautam Srivastava, Leonardo Mostarda, Diletta Cacciagrano:
Collaborative Intrusion Detection System for Intermittent 10 Vs Using Federated Learning and Deep Swarm Particle Optimization. 1-8 - Mohd Ariful Haque, Marufa Kamal, Roy George, Kishor Datta Gupta:
Utilizing Structural Metrics from Knowledge Graphs to Enhance the Robustness Quantification of Large Language Models (Extended Abstract). 1-2 - William Arliss, Andrew B. Godbehere, Graham Mueller:
Using Hypervectors for Efficient Anomaly Detection in Graph Streams. 1-10 - Ariana M. Villegas-Suarez, Delaine Reiter, Jonathan Rolfs, Abdullah Mueen:
PAW: A Deep Learning Model for Predicting Amplitude Windows in Seismic Signals.
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