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35th ICTAI 2023: Atlanta, GA, USA
- 35th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2023, Atlanta, GA, USA, November 6-8, 2023. IEEE 2023, ISBN 979-8-3503-4273-4
- Jan Stodt, Christoph Reich, Nathan L. Clarke:
A Novel Metric for XAI Evaluation Incorporating Pixel Analysis and Distance Measurement. 1-9 - Thomas Saout, Frédéric Lardeux, Frédéric Saubion:
A Two-stage Approach for Tables Extraction in Invoices. 10-15 - Ioannis Bargiotas, Argyris Kalogeratos, Nicolas Vayatis:
A Framework for Paired-Sample Hypothesis Testing for High-Dimensional Data. 16-21 - Chahrazed Labba, Ameline Alcouffe, Eric Crubézy, Anne Boyer:
IArch: An AI Tool for Digging Deeper into Archaeological Data. 22-29 - Chenhao Chen, Shogo Fukushima, Yugo Nakamura, Yutaka Arakawa:
ToonMeet: A Real-time Portrait Toonification Framework with Frame Interpolation Fine-tuned for Online Meeting. 30-37 - Miltiadis Alamaniotis:
The Chameleon Systems: A new Approach in Anticipatory based Decision Making Systems with Application to Electricity Markets. 38-45 - Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem:
Societal Versus Encoded Stereotypes in Text Encoders. 46-53 - Michail S. Alexiou, Euripides G. M. Petrakis, Nikolaos G. Bourbakis:
An Evaluation of Table Detection Methods in Document Images. 54-63 - Zhen Guo, Pei Wang, Lifu Huang, Jin-Hee Cho:
Authentic Dialogue Generation to Improve Youth's Awareness of Cybergrooming for Online Safety. 64-69 - Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria K. Virvou, George A. Tsihrintzis:
Rule-Augmented Artificial Intelligence-empowered Systems for Medical Diagnosis using Large Language Models. 70-77 - Shimin Tang, Changjian Wang, Fengyu Tian, Kele Xu, Minpeng Xu:
DGSNet: Dual Graph Structure Network for Emotion Recognition in Multimodal Conversations. 78-85 - Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh:
One-Class Classifier Performance: Comparing Majority versus Minority Class Training. 86-91 - John T. Hancock, Richard A. Bauder, Taghi M. Khoshgoftaar:
A Model-Agnostic Feature Selection Technique to Improve the Performance of One-Class Classifiers. 92-98 - Vivien Kraus, Khalid Benabdeslem, Seif-Eddine Benkabou, Dou El Kefel Mansouri, Bruno Canitia:
RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression. 99-105 - Marcos V. L. Pivetta, Artur H. Simon, Matheus M. Costa, Mara Abel, Joel Luis Carbonera:
A Systematic Evaluation of Machine Learning Approaches for Petroleum Production Forecasting. 106-113 - Marie Garin, Antoine de Mathelin, Mathilde Mougeot, Nicolas Vayatis:
Personalized One-Shot Collaborative Learning. 114-121 - T. Warren de Wit, Vineetha Menon, Nathan L. Tenhundfeld, Thomas Davis:
EEG Context Fusion for AI-Based Object Detection and Drone Navigation in Situationally Aware Brain-Computer Interfaces. 122-128 - Padraig Fitzpatrick, Anna Jurek-Loughrey, Pawel Dlotko, Jesús Martínez del Rincón:
Ensemble Learning for Mapper Parameter Optimization. 129-134 - Robinson Umeike:
Comparative Crime Analysis and Prediction Using Machine Learning Algorithms: Assessing the Tools and Addressing the Threats. 135-142 - Md. Abid Hasan, Nirjhor Tahmidur Rouf, Md Sajid Hossain, Lamia Binta Latif, Anika Tasnim, Marcin Grzegorzek:
A Location-Independent Flood Prediction Model for Bangladesh's Rivers. 143-148 - Hailun Wu, Ziqian Dong, Roberto Rojas-Cessa:
DICE: Data Imputation for Cost Estimates from Multiple Sources to Model User Decision-Making. 149-154 - Yubo Gao, Haotian Wu:
TDCGL: Two-Level Debiased Contrastive Graph Learning for Recommendation. 155-159 - Hongwei Zhou, Min Gao, Zongwei Wang, Linxin Guo, Yinghui Tao, Wentao Li:
What Really Matters for Graph Contrastive Learning-Based Recommendations? A Unified Learning Strategy. 160-165 - Kunpeng Guo, Dennis Diefenbach, Antoine Gourru, Christophe Gravier:
Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints. 166-171 - Yifan Yang, Lin Chen, Pan Zhou, Xiaofeng Ding:
VFLH: A Following-the-Leader-History Based Algorithm for Adaptive Online Convex Optimization with Stochastic Constraints. 172-177 - Quentin Elsaesser, Patricia Everaere, Sébastien Konieczny:
Voting-based Methods for Evaluating Sources and Facts Reliability. 178-185 - Hiroshi Hosobe, Ken Satoh:
Binary Search-Based Methods for Solving Constraint Hierarchies over Finite Domains. 186-193 - Luca Giuliani, Francesco Ballerini, Allegra De Filippo, Andrea Borghesi:
MusiComb: a Sample-based Approach to Music Generation Through Constraints. 194-198 - Panteleimon Krasadakis, Giuseppe Futia, Vassilios S. Verykios, Evangelos Sakkopoulos:
Graph based Hiding of Sensitive Knowledge. 199-203 - Mourad Hassani, Amel Bouzeghoub:
Efficient Constraint Learning For Stream Reasoning. 204-211 - Bastien Giles, Baptiste Jeudy, Christine Largeron, Damien Saboul:
Suspicious: a Resilient Semi-Supervised Framework for Graph Fraud Detection. 212-220 - A. M. Aahad, Khondker Bin Yamin, Md. Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Evan W. R. Madill, Adam G. M. Pazdor:
Connectable and Independent Junction Tree-Based Compilation Technique of Object-Oriented Bayesian Networks. 221-228 - Sarahana Shrestha, Brian Buckley, Aparna S. Varde, Daniel Cwynar:
Hybrid CNN-LSTM and Domain Modeling in Climate-Energy Analysis for a Smart Environment. 229-233 - Konstantinos Kovas, Ioannis Hatzilygeroudis:
Generation of Rule-Based Expert Systems with Certainty Factors from Datasets. 234-241 - Yihan Lin, Qian Tang, Hao Wang, Cheng Huang, Favour Ekong, Xiangxiang Wang, Xiao Feng, Yongbin Yu:
Attention Enhanced Network with Semantic Inspector for Medical Image Report Generation. 242-249 - Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai:
Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring. 250-257 - Pedro Foletto Pimenta, Pedro H. C. Avelar, Luís C. Lamb:
Graph Neural Networks with No Supervision and Heuristics for the Kidney-Exchange Problem. 258-262 - Olivier Gracianne, Anaïs Halftermeyer, Thi-Bich-Hanh Dao:
Identifying relevant descriptors for tweet sets. 263-268 - Michail S. Alexiou, J. Sukarno Mertoguno:
A Survey on Recent Advancements in Lightweight Generative Adversarial Networks, their Applications and Datasets. 269-278 - Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee:
Distance-Aware eXplanation Based Learning. 279-286 - Nathan Hemming, Vineetha Menon:
Deep Reinforcement Learning Based Efficient and Robust Navigation Method For Autonomous Applications. 287-293 - Takahisa Toda, Takehiro Ito, Jun Kawahara, Takehide Soh, Akira Suzuki, Junichi Teruyama:
Solving Reconfiguration Problems of First-Order Expressible Properties of Graph Vertices with Boolean Satisfiability. 294-302 - Anais Boumendil, Walid Bechkit, Pierre-Edouard Portier, Frédéric Le Mouël, Malcolm Egan:
Grow, prune or select data: which technique allows the most energy-efficient neural network training? 303-308 - Sayda Elmi, Morris Bell:
Res-ViT: Residual Vision Transformers for Image Recognition Tasks. 309-316 - Mahsa Abazari Kia:
DBERT-ELVA: Discourse-Aware Extractive Text Summarization with Autoencoder. 317-324 - Anais Boumendil, Walid Bechkit, Karima Benatchba:
On data selection for the energy efficiency of neural networks: Towards a new solution based on a dynamic selectivity ratio. 325-332 - Pavel Surynek:
Non-Refined Abstractions in Counterexample Guided Abstraction Refinement for Multi-Agent Path Finding. 333-340 - J. Caballero Testón, Olaya Pérez-Mon, María D. R.-Moreno, Julio de Oliveira Filho:
Integral AI-based planning for management of WSNs in military operations. 341-348 - Simona Ondrcková, Roman Barták:
On Semantics of Hierarchical Planning Domain Models with Decomposition Constraints and Empty Methods. 349-353 - Xingjian Diao, Ming Cheng, Shitong Cheng:
AV-MaskEnhancer: Enhancing Video Representations through Audio-Visual Masked Autoencoder. 354-360 - Nausheen Saba Shahid, Dan O'Keeffe, Kostas Stathis:
A Knowledge Representation Framework for Evolutionary Simulations with Cognitive Agents. 361-368 - Xinjie Liang, Wen Song, Pengfei Wei:
Dynamic Job Shop Scheduling via Deep Reinforcement Learning. 369-376 - Mokhtar Essaid, Abdennour Azerine, Mahmoud Golabi, Julien Lepagnot, Lhassane Idoumghar:
Solving Highly Constrained 3D Heterogeneous Truck Loading Problems: A Contribution to the 2022 EURO/ROADEF Challenge. 377-384 - Ruixin Wang, Nicolas Barnier:
Dynamic All-Different and Maximal Cliques Constraints for Fixed Job Scheduling. 385-392 - Florian Régin, Elisabetta De Maria:
Using On-The-Fly Model Checking to improve Constraint Programming for Dynamic Problems. 393-398 - Debora Toshie Kohara, Gina Maira Barbosa de Oliveira, Luiz Gustavo Almeida Martins:
Improving a multiobjective evolutionary algorithm applied to batch scheduling in pharmaceutical manufacturing. 399-403 - Muhammad Sulaman, Mahmoud Golabi, Mokhtar Essaid, Mathieu Brévilliers, Julien Lepagnot, Lhassane Idoumghar:
Random Forest Assisted Differential Evolution for Multi-server Congested p-median Problem. 404-409 - Anage C. Mundim Filho, Darlisson M. Santos, Cleyton B. Alvarenga, Gleice A. de Assis, Paula C. N. Rinaldi, Renan Zampiroli, Enrique Anastácio Alves, Murillo G. Carneiro:
Finding the appropriate harvest time of coffee fruits using convolutional neural networks. 410-414 - Wenwei Lin, Chonghao Zhong, Xunpei Sun, Haitao Meng, Gang Chen, Biao Hu, Zonghua Gu:
Rotation-Invariant Descriptors Learned with Circulant Convolution Neural Networks. 415-422 - Dario Guidotti, Laura Pandolfo, Luca Pulina:
Verifying Neural Networks with Non-Linear SMT Solvers: a Short Status Report. 423-428 - Haiyang Hu, Linnan Yang, Jiaojiao Chen, Shuang Luo:
The remote sensing image segmentation of land cover based on multi-scale attention features. 429-436 - Haoming Li, Yu Xiang, Haodong Xu, Wenyong Wang:
Pedestrian Recognition with Radar Data-Enhanced Deep Learning Approach Based on Micro-Doppler Signatures. 437-443 - Leonidas Akritidis, Athanasios Fevgas, Miltiadis Alamaniotis, Panayiotis Bozanis:
Conditional Data Synthesis with Deep Generative Models for Imbalanced Dataset Oversampling. 444-451 - Jamie Andrew Duell, Monika Seisenberger, Tianlong Zhong, Hsuan Fu, Xiuyi Fan:
A Formal Introduction to Batch-Integrated Gradients for Temporal Explanations. 452-459 - Lakshitha R. Jain, Vineetha Menon:
AI Algorithmic Bias: Understanding its Causes, Ethical and Social Implications. 460-467 - Amos Azaria:
ChatGPT: More Human-Like Than Computer-Like, but Not Necessarily in a Good Way. 468-473 - Rémy Chaput, Laëtitia Matignon, Mathieu Guillermin:
Learning to identify and settle dilemmas through contextual user preferences. 474-479 - Malgorzata Schwab, Ashis Kumer Biswas:
Invertible Neural Networks for Trustworthy AI. 480-485 - Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis:
Tailored Explainability in Medical Artificial Intelligence-empowered Applications: Personalisation via the Technology Acceptance Model. 486-490 - Ornela Bregu, Nizar Bouguila:
Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach. 491-495 - Emmen Farooq, Andrea Borghesi:
A Federated Learning Approach for Anomaly Detection in High Performance Computing. 496-500 - Victor Adewopo, Nelly Elsayed, Zag ElSayed, Murat Ozer, Victoria Wangia-Anderson, Ahmed Abdelgawad:
AI on the Road: A Comprehensive Analysis of Traffic Accidents and Autonomous Accident Detection System in Smart Cities. 501-506 - Amit Hiremath, Ziqian Dong, Roberto Rojas-Cessa:
PEAK: Policy Event Assessment of COVID-19 Cases at the Start of the Pandemic in New York City. 507-512 - Emna Brahim, Emna Amri, Walid Barhoumi:
Enhancing Change Detection in Spectral Images: Integration of UNet and ResNet Classifiers. 513-517 - Aurélien Delage, Olivier Buffet, Jilles Steeve Dibangoye:
Global min-max Computation for α-Hölder Games. 518-525 - Gautam Varma Datla, Haodi Jiang, Jason T. L. Wang:
An Interpretable LSTM Network for Solar Flare Prediction. 526-531 - Tao Peng, Yulin Xue, Jun Li, Jianhua Xu:
A Novel Label Selection Algorithm Based on Principal Component Analysis and Sparse Approximation Solution for Multi-label Classification. 532-537 - Alcides Lopes, Joel Luis Carbonera, Mara Abel:
Disjointness axioms between top-level ontology concepts as a heuristic for word similarity evaluation. 538-545 - Soha A. Nossier, Julie A. Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings:
Enhancing Automatic Speech Recognition Quality with a Second-Stage Speech Enhancement Generative Adversarial Network. 546-552 - Soha A. Nossier, Julie A. Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings:
A Deep Learning Speech Enhancement Architecture Optimised for Speech Recognition and Hearing Aids. 553-558 - Zhiqiang Wang, Yu'an Chen, Jianmin Ji:
Learning Complicated Navigation Skills from Limited Experience via Augmenting Offline Datasets. 559-566 - Haomiao Qiu, Haixing Liu, Chi Zhang:
SCD: Sampling-based Class Distribution for Imbalanced Semi-Supervised Learning. 567-572 - Jinhao Du, Guibo Luo, Yuesheng Zhu, Zhiqiang Bai:
bt-vMF Contrastive and Collaborative Learning for Long-Tailed Visual Recognition. 573-577 - Yunqi Cao, Ziming Wang, Haopeng Chen:
Graph Active Learning at Subgraph Granularity. 578-585 - Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
Destruction-Restoration Suppresses Data Protection Perturbations against Diffusion Models. 586-594 - Kefaya Sabaneh, Momen Abu Salameh, Fatima Khaleel, Mohammad M. Herzallah, Joman Y. Natsheh, Mohammed Maree:
Early Risk Prediction of Depression Based on Social Media Posts in Arabic. 595-602 - Miao Jiang, Weiqing Huang, Min Li, Bo Meng, Junxing Ren, Ruwen Bai, Yang Yang:
UDA-HOID: Unsupervised Domain Adaptation for Human-Object Interaction Detection. 603-610 - Xiangjuan Li, Feifan Li, Yang Li, Quan Pan:
PGN: A Perturbation Generation Network Against Deep Reinforcement Learning. 611-618 - Boyi Wang, Kai Lin, Guohan Sun:
Offline Reinforcement Learning Via Optimal Transport And Improved Performance Difference Theorem. 619-626 - Dingcheng Yang, Zihao Xiao, Wenjian Yu:
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge. 627-635 - Wenxi Zhang, Peilin Yang, Wenguang Zheng, Yingyuan Xiao:
Deep Interaction Behavioral Feature Network for Click-Through Rate Prediction. 636-640 - Yazhong Si, Xulong Zhang, Fan Yang, Jianzong Wang, Ning Cheng, Jing Xiao:
AOSR-Net: All-in-One Sandstorm Removal Network. 641-645 - Silong Ding, Yingchi Mao, Yong Cheng, Tianfu Pang, Lijuan Shen, Rongzhi Qi:
ECIFF: Event Causality Identification based on Feature Fusion. 646-653 - Qingya Wang, Feng Liu, Xuan Wang, Bin Luo:
Improving Online POMDP Planning Algorithms with Decaying Q Value. 654-660 - Hongyu Li, Yifei Zhang, Dongbao Yang:
Cross-Architecture Relational Consistency for Point Cloud Self-Supervised Learning. 661-668 - Zhiyuan Zhang, Xuehu Huang:
ShapeEvoNet: A shapelet-based Time Series Classification Method. 669-674 - Yige Zhang, Zongwen Fan, Jin Gou:
A reinforcement learning-based weight fusion algorithm for house price prediction. 675-679 - Shuting Xu, Ruochen Wang:
OdinDTA: Combining Mutual Attention and Pre-training for Drug-target Affinity Prediction. 680-687 - Lu Wang, K. L. Eddie Law:
double PT: Enhancing Meta-Learning Performance with Pre-Train and Meta-Pre-Train Processes. 688-692 - Guillaume Perez, Gaël Glorian, Wijnand Suijlen, Arnaud Lallouet:
A Constraint Programming Model for Scheduling the Unloading of Trains in Ports. 693-699 - Ke Zhang, Ke Niu, Yuhang Zhou, Wenjuan Tai, Guoqiang Lu:
MedCT-BERT: Multimodal Mortality Prediction using Medical ConvTransformer-BERT Model. 700-707 - Guangda Chen, Yinghao Gan, Jiayi Chen, Shuanwu Shi, Wei Chen, Yingfeng Chen, Rong Xiong, Changjie Fan:
Modeling and Control of General Hydraulic Excavator for Human-in-the-loop Automation. 708-716 - Zipeng Guo, Yuezhao Yu, Chao Gou:
Controllable Diffusion Models for Safety-Critical Driving Scenario Generation. 717-722 - Katrina Chen, Xiuqin Liang, Zheng Ma, Zhibin Zhang:
GEDI: A Graph-based End-to-end Data Imputation Framework. 723-730 - Xianwei Xiao, Baojiang Zhong:
Window Attention with Multiple Patterns for Single Image Super-Resolution. 731-738 - Xiaotong Zhao, Jingli Du, Zhihan Wang:
Model-based exploration strategy to accelerate deterministic strategy algorithm training. 739-745 - Mohamad Albilani, Amel Bouzeghoub:
Guided Hierarchical Reinforcement Learning for Safe Urban Driving. 746-753 - Ahmad Chaddad, Yihang Wu:
Domain Adaptation in Machine Learning: A Practical Simulation Study. 754-761 - Mingjun Yin, Zhiyong Chang, Yan Wang:
LocoMixer: A Local Context MLP-Like Architecture For Image Classification. 762-769 - Cong Fan, Shen Guo, Aishan Wumaier, Jiajun Liu:
A cross-attention and Siamese network based model for off-topic detection. 770-777 - Chen Gong, Peilin Wu, Jinho D. Choi:
Aligning Speakers: Evaluating and Visualizing Text-based Speaker Diarization Using Efficient Multiple Sequence Alignment. 778-783 - Bing Li, Can Ma, Xiyan Gao, Guangheng Jia:
An Unsupervised Vision-related Keywords Retrieval and Fusion Method for Visual Storytelling. 784-790 - Cheng Zhang, Jingxu Cao, Dongmei Yan, Dawei Song, Jinxin Lv:
Which Words Pillar the Semantic Expression of a Sentence? 791-798 - Binxia Yang, Xudong Luo:
Recent Progress on Named Entity Recognition Based on Pre-trained Language Models. 799-804 - Renjie Zheng, Qin Chen, Jie Zhou, Junfeng Tian, Liang He:
Modeling Intra- and Inter-Modal Alignment with Optimal Transport for Visual Dialog. 805-812 - Ziyuan Wang, You Wu:
Investigating the Effectiveness of Whitening Post-processing Methods on Modifying LLMs Representations. 813-820 - Yuantian Xia, Xupeng Kou, Shuhan Lu, Longhe Wang, Lin Li:
Vision Transformer with Interactive Windows based on Patch Sequence Reconstruction. 821-828 - Jiahao Zhang, Shengrong Zhao, Hu Liang, Changchun Wen, Chen Liang:
Image super resolution via multi-regularization combining hybrid Tikhonov-TV prior and deep denoiser prior. 829-835 - Hua Yuan, Jian Luo, Shoubin Dong:
RC R-CNN for Bone Marrow Cell Recognition. 836-840 - Zhongyi Yu, Debo Cheng, Wenzhen Zhang, Jing Chen, Shichao Zhang:
MC-Net: Multi-Scale Feature Fusion and Cross-Level Information Interaction Network for Traffic Sign Detection. 841-848 - Xingquan Cai, Yijie Wu, Haoyu Zhang, Yao Liu, Haiyan Sun:
Abnormal Behavior Detection Method based on Spatio-temporal Dual-flow Network for Surveillance Videos. 849-856 - Qiyu Li, Xianxian Li, De Li, Jinyan Wang:
Node Classification in Graph Neural Networks under Dual Consistency. 857-864 - Tianfu Pang, Yingchi Mao, Silong Ding, Biao Wang, Rongzhi Qi:
Script Event Prediction Based on Causal Generalization Learning. 865-872 - Mingjun Yin, Zhiyong Chang, Yan Wang:
Adaptive Hybrid Vision Transformer for Small Datasets. 873-880 - Shanglin Lei, Xiaoping Wang, Guanting Dong, Jiang Li, Yingjian Liu:
Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement. 881-888 - Weijian Qin, Xudong Luo:
A Legal News Summarisation Model Based on RoBERTa, T5 and Dilated Gated CNN. 889-897 - Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais, Binbin Xu, Pierre-Louis Bernard, Gérard Dray:
Zero-shot Bilingual App Reviews Mining with Large Language Models. 898-904 - Jianzong Wang, Xulong Zhang, Aolan Sun, Ning Cheng, Jing Xiao:
FastGraphTTS: An Ultrafast Syntax-Aware Speech Synthesis Framework. 905-912 - Kaiyi Luo, Xulong Zhang, Jianzong Wang, Huaxiong Li, Ning Cheng, Jing Xiao:
Contrastive Latent Space Reconstruction Learning for Audio-Text Retrieval. 913-917 - Lingshan Li, Di Jin, Xiaobao Wang, Fengyu Guo, Longbiao Wang, Jianwu Dang:
Multi-Modal Sarcasm Detection Based on Cross-Modal Composition of Inscribed Entity Relations. 918-925 - Chuan Qin, Changrui Yu, Yuan Meng, Jun Chang:
A Numeral and Affective Knowledge Enhanced Network for Aspect-based Financial Sentiment Analysis. 926-933 - Mengke Wang, Shaorong Xie, Xiangfeng Luo, Yang Li, Han Zhang, Hang Yu:
HCTA: Hierarchical Cooperative Task Allocation in Multi-Agent Reinforcement Learning. 934-941 - Jie Chen, Tong Liu, Yanmin Zhu, Ruiyuan Li, Xiaoqiang Li:
A Spatio-temporal Adaptive Personalized Meta-recommender for Next Location. 942-946 - Hongyan Ye, Yingying Song, Binyu Wang, Lianlian Wu, Song He, Xiaochen Bo, Zhongnan Zhang:
HSGCL-DTA: Hybrid-scale Graph Contrastive Learning based Drug-Target Binding Affinity Prediction. 947-954 - Fei Pan, Lianyu Zhao, Chenglin Wang:
Smaller and more Accurate Swin-transformer Model Prediction for Tracking. 955-961 - Nicolas Cavrel, Damien Pellier, Humbert Fiorino:
Efficient HTN to STRIPS Encodings for Concurrent Planning. 962-969 - Ruihao Cao, Zhirou Ma, Liangyi Kang, Shuai Wang, Jie Liu:
CSTCN: A Novel Causal-Based Framework for Air Quality Medium- and Long-term Prediction. 970-977 - Hang Su, Fu Li, Xueying Wang, Jinghua Li, Yunlong Wu, Yanzhen Wang:
WE-BTR: A Behavior Tree Recommendation Method Based on Word Embedding. 978-985 - Yang Zhang, Hao Bai, Yuan Xu, Yanlin He, Qunxiong Zhu, Hao Sheng:
A Dual Relation Extractor for Object Detection. 986-990 - Zeyu Shangguan, Lian Huai, Tong Liu, Xingqun Jiang:
Few-shot Object Detection with Refined Contrastive Learning. 991-996 - Penghui Xi, Debo Cheng, Zhenyun Deng, Guixian Zhang, Shichao Zhang:
LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection. 997-1001 - Yuantian Xia, Hongcheng Xue, Shuhan Lu, Longhe Wang, Lin Li:
Behavior detection Algorithm of Caged White-feather broiler based on multi-scale detail feature fusion and object relation inference. 1002-1006 - Shufang Yu, Beibei Song, Wenwang Du, Jieran Yuan, Wenfang Sun:
Multispectral Image Demosaicking Based on Multi-scale Dense Connections and Large-kernel Attention. 1007-1011 - Yi Xiang, Haoran Sun, Wenting Tu, Zejin Tian:
TSFRN: Integrated Time and Spatial-Frequency domain based on Triple-links Residual Network for Sales Forecasting. 1012-1019 - Touseef Sadiq, Christian W. Omlin:
Scene Retrieval in Traffic Videos with Contrastive Multimodal Learning. 1020-1025
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