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ORCIDICDM 2023: Shanghai, China - Workshops
- Jihe Wang, Yi He, Thang N. Dinh, Christan Grant, Meikang Qiu, Witold Pedrycz:
IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023. IEEE 2023, ISBN 979-8-3503-8164-1 - Liao Bao, Yi Zuo:
Speaker Identification based on MFSC voice feature extraction using Transformer. 1-7 - Sayantan Chattopadhyay, Chandrai Kayal, Satyen Abrol:
VAM: Value Propensity Score For User Acquisition Marketing Campaign. 8-15 - Evripides Christodoulou, Andreas Gregoriades:
Applying Machine Learning in Personality-based Persuasion Marketing. 16-23 - Tomofumi Hara, Yuki Sumiya, Kazuhide Nakata:
Temporal Positive Collective Matrix Factorization for Interpretable Trend Analysis in Recommender Systems. 24-30 - Shunnosuke Ikeda, Naoki Nishimura, Shunji Umetani:
Operating Range Estimation for Price Optimization. 31-36 - Maryam Shahsavari, Omar Khadeer Hussain, Morteza Saberi
, Pankaj Sharma:
A lightweight and unsupervised approach for identifying risk events in news articles. 37-43 - Xiao Zhang, Xiaolong Xu:
FP-WDDQN: An improved deep reinforcement learning algorithm for adaptive traffic signal control. 44-51 - Jawad Khan, Niaz Ahmad, Chanyeok Choi, Saif Ullah, Gyurin Kim, Youngmoon Lee:
SSK-DNN: Semantic and Sentiment Knowledge for Incremental Text Sentiment Classification. 52-59 - Jedrzej Kozal, Justyna Zwolinska, Marek Klonowski, Michal Wozniak:
Defending Network IDS against Adversarial Examples with Continual Learning. 60-69 - Jedrzej Kozal, Michal Wozniak:
Combining Self-labeling with Selective Sampling. 70-79 - Ran Li, Guangliang Chen:
A fast incremental spectral clustering algorithm with cosine similarity. 80-88 - Jingwen Tan, Dan Li, Zibin Zheng, See-Kiong Ng:
Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task Learning. 89-98 - Penny Chong, Laura Wynter, Bharathi Chaudhury:
Multimodal Deep Learning with Boosted Trees for Edge Inference. 99-108 - Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger:
Multi-modal Chinese Fake News Detection. 109-117 - Hong Zhou, Rui Zhang, Peifeng Lai, Chaoran Guo, Yong Wang, Zhida Sun, Junjie Li:
EL-VIT: Probing Vision Transformer with Interactive Visualization. 118-127 - Elisabeth Fischer, Daniel Schlör, Albin Zehe, Andreas Hotho:
Enhancing Sequential Next-Item Prediction through Modelling Non-Item Pages. 128-136 - Jiacheng Fu, Jin Tian, Jiacheng Xu, Zhijun Fang:
Expert Recommendation Method for Fault Maintenance Based On Industrial Manufacturing Knowledge. 137-146 - S. M. F. Sani, Seyed Abbas Hosseini, Hamid R. Rabiee:
Epsilon non-Greedy: A Bandit Approach for Unbiased Recommendation via Uniform Data. 147-156 - Hariram Veeramani, Surendrabikram Thapa, Usman Naseem:
Temporally Dynamic Session-Keyword Aware Sequential Recommendation System. 157-164 - Chengshan Yan, Shanshan Feng, Jian Cao, Yan Yao, Huaxiang Zhang:
User Preference Learning based on Automatic Environment Classification for General Debiasing in Recommendation Systems. 165-174 - Yan Yao, Shanshan Feng, Hanwen Hu, Shenglin Xu, Shiyou Qian, Bin Qu, Diankun Zhai:
BWC: A Ballast Water Curve Algorithm for Optimizing Ship Fuel Consumption. 175-180 - Gorkem Yencak, Emre Sefer:
SGD with Partial Hessian for Deep Recommendation System Optimization. 181-187 - Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie:
An Element-Wise Weights Aggregation Method for Federated Learning. 188-196 - Yifan Li, ChengXiang Zhai:
An Exploration of Large Language Models for Verification of News Headlines. 197-206 - Meghdad Mirabi, René Klaus Nikiel, Carsten Binnig:
SafeML: A Privacy-Preserving Byzantine-Robust Framework for Distributed Machine Learning Training. 207-216 - Akito Yamamoto, Tetsuo Shibuya:
A Joint Permute-and-Flip and Its Enhancement for Large-Scale Genomic Statistical Analysis. 217-226 - Shang Gao, Yanling Li, Fengpei Ge, Min Lin, Haiqing Yu, Sukun Wang, Zhongyi Miao:
Match and Retrieval: Legal Similar Case Retrieval via Graph Matching Network. 227-234 - M. Luqman Jamil, Sebastião Pais, Nuno Pombo, João Cordeiro, Pedro Neves:
Challenges of Profiling Offenders for Recidivism Risk. 235-244 - Vincent Quirante Malic, Anamika Kumari, Xiaozhong Liu:
Racial Skew in Fine-Tuned Legal AI Language Models. 245-252 - Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras:
The Need for Practical Legal and Ethical Guidelines for Explainable AI-based Network Intrusion Detection Systems. 253-261 - Srinivasan H. Sengamedu, Hien Pham:
FairLabel: Correcting Bias in Labels. 262-271 - Réda Alami, Mohammed Mahfoud, Mastane Achab:
A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits. 272-280 - Xinyi Cai, Pei-Wei Tsai, Jiao Tian, Kai Zhang, Jinjun Chen:
A Label Distribution for Few-shot In-domain Out-of-Scope Detection. 281-287 - Yi Li, Xiaomin Xiong, Xiaohua Liu, Lin Chen, Bo Lin, Bo Xu:
Human-interpretable features derived from breast cancer pathology slides detect BRCA1/2 gene mutations. 288-293 - Ge Liu, Zhongqiang Zhang, Fuhan Cai, Duo Liu, Xiangzhong Fang:
Learning and Adapting Diverse Representations for Cross-domain Few-shot Learning. 294-303 - Xiaohua Liu, Yi Li, Xiaomin Xiong, Yihan Wu, Mengke Xu, Lin Chen, Bo Lin, Bo Xu, Guoxiang Liu:
Improving HER2-Positive Breast Cancer Targeted Therapy Prediction Using multiMSnet: A Multi-Scale Pathological Image-Based Approach. 304-310 - Xiaomin Xiong, Yuqi Zhang, Lihua Gu, Yi Li, Bo Lin, Dajiang Lei, Guoyin Wang, Bo Xu:
Pyramid Feature Iterative Fusion: A Cross-Scale Fusion Algorithm for Enhanced Analysis of H&E Images in HER2-Positive Breast Cancer. 311-317 - Zhihui Wang, Yun Zhu, Xinyuan Mi:
An Approach for Data Publishing with Sensitive Attribute Synthesis. 318-322 - Zhanwang Zhu, Yiming Yuan, Song Deng:
Data Intrusion Tolerance Model based on Game Theory for Energy Internet. 323-328 - Simin Ma, Junghwan Lee, Nicoleta Serban, Shihao Yang:
Deep Attention Q-Network for Personalized Treatment Recommendation. 329-337 - Negar Maleki, Balaji Padmanabhan, Kaushik Dutta:
Leveraging Implicit Knowledge in Recommender Systems for Maternal Health. 338-347 - Anna Stephens, Francisco Santos, Pang-Ning Tan, Abdol-Hossein Esfahanian:
Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups. 348-355 - Qing Wang, Jia Zhu, Changfan Pan, Jianyang Shi, Chaojun Meng, Hanghui Guo:
Dual trustworthy mechanism for illness classification with multi-modality data. 356-362 - Doru Constantin, Costel Balcau, Doru Anastasiu Popescu:
ICA model estimation using a mixed learning rule based on genetic algorithms and neural networks. 363-370 - Mingqian Lin, Lin Shang, Xiaoying Gao:
Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming. 371-378 - Doru Anastasiu Popescu, Doru Constantin, Nicolae Bold:
Generating assessment tests using image-based items. 379-385 - Chikai Shang, Fangqing Gu, Jiaqi Jiang:
Evolutionary Multi-model Federated Learning on Malicious and Heterogeneous Data. 386-395 - Tian Zhang, Nan Li, Yuee Zhou, Wei Cai, Lianbo Ma:
Information extraction of Chinese medical electronic records via evolutionary neural architecture search. 396-405 - Tinghui Chen, Shuai Li:
A hybrid-Lp-Norms-Oriented Robot Kinematic Calibration Model Optimized by a Novel Newton Interpolated Differential Evolution Algorithm. 406-411 - Xun Deng, Lun Hu, Zekun Jiang, Lu Liu, Peng-Wei Hu:
A contactless automated dynamic monitoring method for organoid morphology on the time axis. 412-417 - Dongxu Li, Bowei Zhao, Xiaorui Su, Guodong Li, Yue Yang, Pengwei Hu, Lun Hu:
Drug Repositioning Method Based on Pre-trained Large Model and Network Embedding Representation. 418-423 - Jinli Li, ChengXuan Zhou, Ye Yuan:
An Adaptive PID-Incorporated Non-Negative Latent Factor Analysis Model. 424-428 - Yixiang Tang, Yi He:
Online Change Point Detection in Open Feature Spaces. 429-434 - Peiyang Wei, Xiaoyu Shi, Jiesan Zhou:
ESOA Algorithm Based on learning rate optimization in Convolutional neural networks. 435-439 - Hao Wu, Yan Xia, Chengxuan Zhou:
E-swish Regularized Nonnegative Latent Factorization of Tensors for Dynamic Network Link Prediction. 440-444 - Peishu Wu, Haipeng Xu, Meilin Liu, Han Li, Hongfu Zeng, Huihua Hu, Nianyin Zeng:
A3C: A novel attention-based 3D-CNN model for accurately identifying clinical lung lesions. 445-450 - Yurong Zhong, Weiling Li, Zhigang Liu, Xin Luo:
An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model. 451-455 - Thiago Ambiel, Douglas Castilho, André C. P. L. F. de Carvalho:
The Strength of Influence Ties in Stock Networks: Empirical Analysis for Portfolio Selection. 456-464 - Zhizuo Chen:
A Cash Flow Based Framework for Asset-Liability Management with Deep Reinforcement Learning. 465-474 - Iker Perez, Jason Wong, Piotr Skalski, Stuart Burrell, Richard Mortier, Derek McAuley, David Sutton:
Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems. 475-484 - Chien-Shuo Wu, Shiou-Chi Li, Jen-Wei Huang:
Predicting Value-at-Risk with Risk-aware Mutual Attention Mechanism. 485-489 - Jie Chen, Xin Zhang, Wuyang Zhang, Siyu Tan, Shu Zhao:
CrsKGC-RSAN: Conflict Resolution Strategy for Knowledge Graph Completion. 490-498 - Fei Huang, Yi Deng, Chen Zhang, Menghao Guo, Kai Zhan, Shanxin Sun, Jinling Jiang, Zeyi Sun, Xindong Wu:
KOSA: KO Enhanced Salary Analytics based on Knowledge Graph and LLM Capabilities. 499-505 - Qiaoyu Tan, Xin Zhang, Jiahe Du, Xiao Huang:
Graph Neural Networks with Non-Recursive Message Passing. 506-514 - Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang:
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. 515-520 - Zijie Song, Wenbo Hu, Hao Ye, Richang Hong:
How to Use Language Expert to Assist Inference for Visual Commonsense Reasoning. 521-527 - Yijie Zhang, Yuanchen Bei, Shiqi Yang, Hao Chen, Zhiqing Li, Lijia Chen, Feiran Huang:
Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering. 528-532 - Sylvain W. Combettes, Charles Truong, Laurent Oudre:
An Interpretable Distance Measure for Multivariate Non-Stationary Physiological Signals. 533-539 - Mingsen Du, Yanxuan Wei, Yupeng Hu, Xiangwei Zheng, Cun Ji:
Automatic Component Identification Based on Time Series Classification for Intelligent Devices. 540-549 - Fiete Lüer, Tobias Weber, Maxim Dolgich, Christian Böhm:
Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores. 550-559 - Henrique Duarte Moura, Leonid Kholkine, Lynn D'eer, Kevin Mets, Tom De Schepper:
Towards graph-based forecasting with attention for real-world restaurant sales. 560-569 - Ioana Pintilie, Andrei Manolache, Florin Brad:
Time Series Anomaly Detection using Diffusion-based Models. 570-578 - Yinuo Ren, Feng Li, Yanfei Kang, Jue Wang:
Infinite forecast combinations based on Dirichlet process. 579-587 - Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou:
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. 588-592 - Jungeun Yoon, Aekyeung Moon, Seung Woo Son:
Outlier Elimination and Reliability Assessment for Peak and Declining Time Series Datasets. 593-600 - Guanyu Zhang, Feng Li, Yanfei Kang:
Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization. 601-607 - Guojing Cong, Scott Auerbach:
Clustering High-dimensional Toxicogenomics Data with Rare Signals. 608-614 - Bilal Faye, Hanane Azzag, Mustapha Lebbah, Mohamed Djallel Dilmi, Djamel Bouchaffra:
Context Normalization Layer with Applications. 615-624 - Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm:
Benchmarking Deep Clustering Algorithms With ClustPy. 625-632 - Marjan Qazvini:
Levels of disability in the older population of England: An unsupervised and self-supervised learning approach. 633-641 - Tao Chen, Feiyang Shi, Jidong Chen:
An Account Selection Model for Identifying Valuable zkSync Users. 642-648 - Chengxiang Jin, Jiajun Zhou, Shengbo Gong, Chenxuan Xie, Qi Xuan:
Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum. 649-655 - Kai Liu, Minghao Yu, Yang Jin, Yue Wang, Jiaqi Yan, Xiao Fan Liu:
Tokenomic Model of Friend.Tech Social Platform: A Data-driven Analysis. 656-662 - Qian'ang Mao, Sheng Wan, Daning Hu, Jiaqi Yan, Jin Hu, Xuan Yang:
Leveraging Federated Learning for Unsecured Loan Risk Assessment on Decentralized Finance Lending Platforms. 663-670 - Hao Tan, Shuangzhou Yan, Xin Zou, Guanghuan Xie, Hongxin Zhang, Zhuo Li:
FCToken: A Flexible Framework for Blockchain-Based Compliance Tokenization. 671-681 - Zexin Wang, Qiang Wang, Zi Jiao, Zhifan Huang, Changsheng Zhang, Fucai Zhou, Che Bian:
E2VQ: Enabling Expressive, Efficient, and Verifiable Queries over Blockchain Databases. 682-690 - Tianze Zhang, Haolin Ren, Qian'Ang Mao, Cong Ma, Shuxi Liang, Daning Hu, Xiao Fan Liu:
Unlocking Decentralized Lending Protocols: Semantic Unification and Risk Spillover Assessment. 691-697 - Chen Yan, Luping Wang, Hongjie Wu, Fuyuan Hu, Jing Chen, Weizhong Lu:
Attribute-Based Searchable Encryption Scheme in Smart Healthcare Blockchain. 698-705 - Xining Zhuji, Jiehua Wang, Weiping Ding, Weixiang Wu:
Blockchain-Based System for Vaccine Traceability. 706-715 - Julita Bielaniewicz, Przemyslaw Kazienko:
From Generalized Laughter to Personalized Chuckles: Unleashing the Power of Data Fusion in Subjective Humor Detection. 716-725 - Kamil Kanclerz, Julita Bielaniewicz, Marcin Gruza, Jan Kocon, Stanislaw Wozniak, Przemyslaw Kazienko:
Towards Model-Based Data Acquisition for Subjective Multi-Task NLP Problems. 726-735 - Hasan Kemik, Nusret Özates, Meysam Asgari-Chenaghlu, Yang Li, Erik Cambria:
BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter. 736-743 - Jan Kocon:
Deep Emotions Across Languages: A Novel Approach for Sentiment Propagation in Multilingual WordNets. 744-749 - Zheng Leitter, Erik Cambria:
Non-Fungible Tokens: What Makes Them Valuable? 750-756 - Piotr Milkowski, Konrad Karanowski, Patryk Wielopolski, Jan Kocon, Przemyslaw Kazienko, Maciej Zieba:
Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows. 757-766 - Andrea Nanetti, John Pavlopoulos, Erik Cambria:
Sentiment Analysis of Primary Historical Sources. 767-772 - Keane Ong, Wihan van der Heever, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo:
FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis. 773-782 - Yee Sen Tan, Nicole Anne Teo Huiying, Ezekiel En Zhe Ghe, Jolie Zhi Yi Fong, Zhaoxia Wang:
Video Sentiment Analysis for Child Safety. 783-790 - Autumn Teo, Zhaoxia Wang, Haibo Pen, Budhitama Subagdja, Seng-Beng Ho, Boon-Kiat Quek:
Knowledge Graph enhanced Aspect-Based Sentiment Analysis Incorporating External Knowledge. 791-798 - Stanislaw Wozniak, Jan Kocon:
From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis. 799-808 - Jiajun Zou, Yexuan Zhang, Jinshuai Yang, Sixing Wu, Minghu Jiang, Yongfeng Huang:
Emotion Recognition in Social Network Texts Based on A Multilingual Architecture. 809-815 - Luca Colomba, Paolo Garza:
ViGEO: an Assessment of Vision GNNs in Earth Observation. 816-822 - Patrick Killeen, Iluju Kiringa, Tet Hin Yeap, Paula Branco:
Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction. 823-831 - Alameen Najjar:
Towards A Foundation Model For Trajectory Intelligence. 832-835 - Alameen Najjar, Kyle Mede:
Where You Are Is What You Do: On Inferring Offline Activities From Location Data. 836-843 - Qiuhao Shi, Xiaolong Xu, Xuanyan Liu:
BLRGCN: A dynamic traffic flow prediction model based on spatiotemporal graph convolutional network. 844-851 - Jie Wang, Dan Li, Zibin Zheng, See-Kiong Ng:
Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence. 852-859 - Davide Macrì, Antonio Francesco Gentile, Pietro Sabatino:
An IoT-based Approach to Expert Recommendation in Community Question Answering for Disaster Recovery. 860-867 - Renata Tomaszewska:
Andragogy Meets ChatGPT in Lifelong Learning: Exploring Opportunities and Challenges. 868-874 - Maximilian Becker, Vishwesh Vishwesh, Pascal Birnstill, Finn Schwall, Sihan Wu, Jürgen Beyerer:
RIXA - Explaining Artificial Intelligence in Natural Language. 875-884 - Maximilian Becker, Emrah Toprak, Jürgen Beyerer:
Explainable Artificial Intelligence for Interpretable Data Minimization. 885-893 - Robert Burduk:
Recall and Selectivity Normalized in Class Labels as a Classification Performance Metric. 894-902 - Malgorzata Charytanowicz:
Explainable Ensemble Machine Learning for Wheat Grain Identification. 903-911 - Karam Dawoud, Wojciech Samek, Peter Eisert, Sebastian Lapuschkin, Sebastian Bosse:
Human-Centered Evaluation of XAI Methods. 912-921 - Ghada El-Khawaga, Mervat Abu-Elkheir, Manfred Reichert:
A Rule-based Evaluation Method of Local Explainers for Predictive Process Monitoring. 922-930 - Lige Gan, Bo Liu, Andrew Meng, Feng Zhang, Guangzhi Qu:
SATTree: A SHAP-Augmented Threshold Tree for Clustering Explanation. 931-938 - Joon-Young Gwak, Priti Prabhakar Wakodikar, Meng Wang, Guanhua Yan, Xiaokui Shu, Scott D. Stoller, Ping Yang:
Debugging Malware Classification Models Based on Event Logs with Explainable AI. 939-948 - Dan Hudson, Ruud J. R. Den Hartigh, L. Rens A. Meerhoff, Martin Atzmueller:
Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data. 949-957 - George Ioannou, Andreas Stafylopatis:
The Issue of Baselines in Explainability Methods. 958-965 - Sein Minn, Shunkai Fu:
Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality. 966-975 - Xuan Zhao, Klaus Broelemann, Gjergji Kasneci:
Counterfactual Explanation for Regression via Disentanglement in Latent Space. 976-984 - Liqing Gao, Liang Wan, Wei Feng:
Cross-Modal Attention Network for Sign Language Translation. 985-994 - Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin:
Video Instance Segmentation Using Graph Matching Transformer. 995-1004 - Mengxin Wang, Liming Fang, Kuiqi Chen:
FedNAT: Byzantine-robust Federated Learning through Activation-based Attention Transfer. 1005-1012 - Hongping Zhang, Ming Yang:
Asymmetric Polysemous Reasoning for Image-Text Matching. 1013-1022 - Wenqian Zhang, Zhengyi Yang, Dong Wen, Xiaoyang Wang:
Efficient Distributed Core Graph Decomposition. 1023-1031 - Chengzu Dong, Jingwen Zhou, Aiting Yao, Zhiyu Xu, Frank Jiang, Shiping Chen, Xiao Liu:
A Federated Multi-Modal Learning Framework Powered by Distributed Ledgers for Cyber-safe and Efficient UAV Delivery Systems. 1032-1039 - Shijie Li, Xiaowu Liu, Wenshuo Ma, Kan Yu, Yangyang Liu:
Blockchain-based Reputation Management Scheme for the Internet of Vehicles. 1040-1049 - Sai Dileep Koneru, Xin Wei, Jian Wu, Sarah Rajtmajer:
Can machine learning algorithms predict publication outcomes? A case study of COVID-19 preprints. 1050-1057 - Artyom Kopan, Anna N. Smirnova, Ilya Shchuckin, Vladislav Makeev, George A. Chernishev:
Citation Style Classification: a Comparison of Machine Learning Approaches. 1058-1064 - Teng Hu, Cheng Wang, Qing Yang, Xue Chen:
Hard Anomaly Detection: An Adversarial Data Augmentation Solution. 1065-1075 - Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang:
Self-supervision meets kernel graph neural models: From architecture to augmentations. 1076-1083 - Tu Anh Dinh, Jeroen den Boef, Joran Cornelisse, Paul Groth:
E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes. 1084-1091 - Heehyeon Kim, Jinhyeok Choi, Joyce Jiyoung Whang:
Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection. 1092-1096 - Simon Klüttermann, Jérôme Rutinowski, Anh Nguyen, Christopher Reining, Moritz Roidl, Emmanuel Müller:
On Graph Representation based Re-Identification - A Proof of Concept. 1097-1104 - Yueqi Ma, Minjie Chen, Xiang Li:
DropMix: Better Graph Contrastive Learning with Harder Negative Samples. 1105-1112 - Hyung-Jun Moon, Sung-Bae Cho:
Exploiting Local Information with Subgraph Embedding for Graph Neural Networks. 1113-1120 - Farimah Poursafaei, Reihaneh Rabbany:
Exhaustive Evaluation of Dynamic Link Prediction. 1121-1130 - Jakub Reha, Giulio Lovisotto, Michele Russo, Alessio Gravina, Claas Grohnfeldt:
Continuous-Time Temporal Graph Learning on Provenance Graphs. 1131-1140 - Francisco Santos, Anna Stephens, Pang-Ning Tan, Abdol-Hossein Esfahanian:
Influence Propagation for Linear Threshold Model with Graph Neural Networks. 1141-1148 - Anil Surisetty, Aakarsh Malhotra, Deepak Chaurasiya, Sudipta Modak, Siddharth Yerramsetty, Alok Singh, Liyana Sahir, Esam Abdel-Raheem:
Study of Topology Bias in GNN-based Knowledge Graphs Algorithms. 1149-1156 - Linyao Yang, Hongyang Chen, Xiao Wang:
Aligning Contrastive Clusters for Cross-Network Node Classification. 1157-1161 - Lili Wang, Chenghan Huang, Weicheng Ma, Zhongyang Li, Soroush Vosoughi:
Hyperbolic Node Structural Role Embedding. 1162-1169 - Shangwei Wu, Yingtong Xiong, Hui Liang, Chuliang Weng:
Clustering with Entropy-based Recombination for Training GCNs on Large Graphs. 1170-1177 - Chi Zhang, Wenkai Xiang, Xingzhi Guo, Baojian Zhou, Deqing Yang:
SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs. 1178-1185 - Lijing Zhu, Qizhen Lan, Alvaro Velasquez, Houbing Song, Acharya Kamal, Qing Tian, Shuteng Niu:
SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection. 1186-1193 - Stefan Andonov, Gjorgji Madjarov:
LogGC: Novel Approach for Graph-based Log Anomaly Detection. 1194-1202 - Bhavya, Paulina Toro Isaza, Yu Deng, Michael Nidd, Amar Prakash Azad, Larisa Shwartz, ChengXiang Zhai:
Exploring Large Language Models for Low-Resource IT Information Extraction. 1203-1212 - Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu:
A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. 1213-1220 - Youcef Remil, Anes Bendimerad, Mathieu Chambard, Romain Mathonat, Marc Plantevit, Mehdi Kaytoue:
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets. 1221-1230 - Thorsten Wittkopp, Alexander Acker, Odej Kao:
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. 1231-1239 - Kunru Chen, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Jonas Klang, Gustav Sternelöv:
Toward Solving Domain Adaptation with Limited Source Labeled Data. 1240-1246 - Leonid Erlygin, Vladimir Zholobov, Valeriia Baklanova, Evgeny Sokolovskiy, Alexey Zaytsev:
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust. 1247-1258 - Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou:
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. 1259-1268 - Sandra Mitrovic, Fabio Frisone, Suryam Gupta, Chiara Lucifora, Dragana Carapic, Carlo Schillaci, Samuele Di Giovanni, Ayushi Singh:
Annotating Panic in Social Media using Active Learning, Transformers and Domain Knowledge. 1269-1278 - Faustino Muetunda, Sebastião Pais, Soumaya Sabry, Gaël Dias, Nuno Pombo, João Cordeiro:
Improving Mental Disorder Predictions using Feature-Based Machine Learning Techninques. 1279-1288 - Faustino Muetunda, M. Luqman Jamil, Sebastião Pais, Soumaya Sabry, Gaël Dias, Nuno Pombo, João Cordeiro:
Exploring the Role of Artificial Intelligence in Mental Health. 1289-1298 - Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos, Toru Nakamura, Yongxin Zhang, Zhao Ren, Hiroki Takeuchi, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Haojie Zhang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction. 1299-1305 - Dewen Xu, Zhihua Wang, Tsuyoshi Kitajima, Toru Nakamura, Hiroko Shimura, Hiroki Takeuchi, Yang Tan, Runze Ge, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity Data. 1306-1312 - Brian Etter, James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach. 1313-1321 - Yubo Hou, Tram Truong-Huu, Zhenghua Chen, Chee-Keong Kwoh, Sin G. Teo:
PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection. 1322-1331 - Sen Li, Mengmeng Ge, Ruitao Feng, Xiaohong Li, Kwok-Yan Lam:
Automatic Detection and Analysis towards Malicious Behavior in IoT Malware. 1332-1341 - Fei Zhang, Ruitao Feng, Xiaofei Xie, Xiaohong Li, Lianshuan Shi:
SeqAdver: Automatic Payload Construction and Injection in Sequence-based Android Adversarial Attack. 1342-1351 - Linfeng Li, Hai Liu, Zhaoli Zhang:
Anisotropic Knowledge Empowers Efficient Recommender System through Generative-Mapping Representation Learning. 1352-1359 - Hao Liu, Raymond Chi-Wing Wong:
Automatic Personalized Health Insurance Recommendation Based on Utility and User Feedback. 1360-1369 - Emanuele Mengoli, Zhiyuan Yao, Wutao Wei, Thomas H. Clausen:
Develop End-to-End Anomaly Detection System. 1370-1379 - Jiaxing Shen, Yulin He, Yunfei Long, Jiaqi Wen, Yanwen Wang, Yu Yang:
Birds of a Feather Purchase Together: Accurate Social Network Inference using Transaction Data. 1380-1389 - Fan Wu, Bowei Xi:
Differentially Private Causal Inference Under Hierarchical Design. 1390-1399 - Fan Meng, Yuyong Li, Hanqing Yu, Xiaofei Zhou, Win-Bin Huang:
Industry credit spread forecasting based on time series data and industry relationships. 1400-1406 - Haotian Xia, Rhys Tracy, Yun Zhao, Yuqing Wang, Yuan-Fang Wang, Weining Shen:
Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera. 1407-1416 - Can Zhang, Minglong Lei:
A Survey on Spatio-Temporal Graph Neural Networks for Traffic Forecasting. 1417-1423 - Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou:
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. 1424-1429 - Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu:
Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. 1430-1437 - Seungyoon Lee, Dahyun Jung, Chanjun Park, Seolhwa Lee, Heuiseok Lim:
Alternative Speech: Complementary Method to Counter-Narrative for Better Discourse. 1438-1442 - Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin Verspoor:
Deep Outdated Fact Detection in Knowledge Graphs. 1443-1452 - Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu:
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. 1453-1462 - Shan Huang, Tao Wang, Zhongshan Zhang, Lei He:
Analyzing Hierarchical Organizational Structure Change: Strategic Planning Model from Personnel Perspective. 1463-1468 - Xi Zhang, Ziyue Liu, Yihang Cheng, Xuyan Wang, Zhe Wang:
The Impact of AIGC on Organizational Knowledge Creation : From the Perspective of Adaptive Structuration Theory. 1469-1476 - Chen Zhu, Hengshu Zhu:
Exploiting Time-Aware Spectral Neural Networks for Employee Turnover Analysis: An Organizational Change Perspective. 1477-1483 - Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. 1484-1492 - Yunqi Hong, Wei Ye:
Review-Enhanced Sequential Recommendation with Self-Attention and Graph Collaborative Features. 1493-1499 - Chengyi Ju, Jiannong Cao, Yu Yang, Zhen-Qun Yang, Ho Man Lee:
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach. 1500-1508 - Haonan Ma, Can Wang, Yunwei Zhao, Luhua Wang, Xiulian Cao, Jinyin Chen, Han Han, Meichen Liu:
An in-depth analysis of robustness and accuracy of recommendation systems. 1509-1515 - Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu:
IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items. 1516-1525 - Xinhua Wang, Houping Yue, Zizheng Wang, Liancheng Xu, Jinyu Zhang:
Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation. 1526-1534 - Rachel M. Harrison, Anton Dereventsov, Anton Bibin:
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging. 1535-1542 - Junfeng Liu, Zhuocheng Mei, Kewen Peng, Ranga Raju Vatsavai:
Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent. 1543-1550 - Andrew Starnes, Anton Dereventsov, Clayton G. Webster:
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks. 1551-1558 - Yu Cai, Drew Youngstrom, Wenbin Zhang:
Exploring Approaches for Teaching Cybersecurity and AI for K-12. 1559-1564 - Sribala Vidyadhari Chinta, Karen Fernandes, Ningxi Cheng, Jordan Fernandez, Shamim Yazdani, Zhipeng Yin, Zichong Wang, Xuyu Wang, Weifeng Xu, Jun Liu, Chong Siang Yew, Puqing Jiang, Wenbin Zhang:
Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit. 1565-1574 - Qi Liu, Xiao Chen, Kun Niu, Wanru Zhang, Yiman Gao, Jin Wei:
Intelligent Practical Teaching Platform based on Data Mining. 1575-1580 - Juntai Shi, Wei Su, Lei Liu, Shenglin Xu, Tianyuan Huang, Jiamin Liu, Wenli Yue, Shihua Li:
A Deep Memory-Aware Attentive Model for Knowledge Tracing. 1581-1590 - Diksha Shrivastava, Sarthak Pujari, Yatin Katyal, Siddhartha Asthana, Chandrudu K, Aakashdeep Singh:
INFRANET: Forecasting intermittent time series using DeepNet with parameterized conditional demand and size distribution. 1591-1599 - Rémi Bourgerie, Tahar Zanouda:
Fault Detection in Telecom Networks Using Bi-Level Federated Graph Neural Networks. 1608-1617 - Amit Neil Ramkissoon, Vijayanandh Rajamanickam, Wayne Goodridge:
A Feature Set for Neural Texture Video Detection Based on Scenes and Textures. 1604-1611
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