| 2024 | Accurate Estimation of Cross-Excitation in Multivariate Hawkes Process Models of Infectious Diseases. | Youness Diouane, Frederic Schoenberg, George O. Mohler |
| 2024 | Alignment of Multilingual Embeddings to Estimate Job Similarities in Online Labour Market. | Simone D'Amico, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Filippo Pallucchini |
| 2024 | Data Augmentation's Effect on Machine Learning Models when Learning with Imbalanced Data. | Damien A. Dablain, Nitesh V. Chawla |
| 2024 | Architecture Design: From Neural Networks to Foundation Models. | Grigorios Chrysos |
| 2024 | Influence Role Recognition and LLM-Based Scholar Recommendation in Academic Social Networks. | Xiyao Cheng, Lakshmi Srinivas Edara, Yuanxun Zhang, Mayank Kejriwal, Prasad Calyam |
| 2024 | Global-Local Unified Cross-View Enhancing Framework for Person Re-Identification. | Tianran Chen, Chen Chen, Yichao Zhou, Xiyuan Hu |
| 2024 | A Novel Discrete Time Series Representation with De Bruijn Graphs for Enhanced Forecasting Using TimesNet (Extended Abstract). | Mert Onur Cakiroglu, Hasan Kurban, Elham Khorasani Buxton, Mehmet M. Dalkilic |
| 2024 | Diffusion Models for Cross-Domain Image-to-Image Translation with Paired and Partially Paired Datasets. | Trisk Bell, Dan Li |
| 2024 | Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. | Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu |
| 2024 | Deep Learning-Based Prediction of Driver Genes in Non-Small Cell Lung Cancer. | Yu Bai, Songyan Han, Qin Wei, Haisheng Hui, Guohao Feng, Yongqiang Cheng, Jianxia Liu |
| 2024 | AddShare+: Efficient Selective Additive Secret Sharing Approach for Private Federated Learning. | Bernard Atiemo Asare, Paula Branco, Iluju Kiringa, Tet Hin Yeap |
| 2024 | A Metaverse Platform for Air Pollution Analysis in Supporting Smart and Sustainable City Development. | Juan C. Armijos, Garik Avagyan, Carson K. Leung, Jasmine J. Tabuzo, Aivee F. Teodocio |
| 2024 | Using Hypervectors for Efficient Anomaly Detection in Graph Streams. | William Arliss, Andrew B. Godbehere, Graham Mueller |
| 2024 | Estimate and Reduce Uncertainty in Uncertain Graphs. | Naheed Anjum Arafat, Ehsan Bonabi Mobaraki, Arijit Khan, Yllka Velaj, Francesco Bonchi |
| 2024 | Can Large Language Models be Anomaly Detectors for Time Series? | Sarah Alnegheimish, Linh Nguyen, Laure Berti-quille, Kalyan Veeramachaneni |
| 2024 | An Biometric Model for Iris Images Segmentation and Deep Learning Classification. | Nawaf Abdualziz Almolhis |
| 2024 | CL-FML: Cluster-Based & Label-Aware Federated Meta-Learning for On-Demand Classification Tasks. | Tahani Aladwani, Christos Anagnostopoulos, Shameem Puthiya Parambath, Fani Deligianni |
| 2024 | Transparent Neighborhood Approximation for Text Classifier Explanation by Probability-Based Editing. | Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder |
| 2023 | Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks. | Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid |
| 2023 | Spatial-Temporal Residual Multi-Graph Convolution Network for Traffic Forecasting. | Ruoxuan Zhu, Yi Qian, Hui Zheng, Xing Wang, Junlan Feng, Lin Zhu, Chao Deng |
| 2023 | Adaptive Compressed Sensing for Real-Time Video Compression, Transmission, and Reconstruction. | Yaping Zhao, Qunsong Zeng, Edmund Y. Lam |
| 2023 | Multi-Granularity Entity Recognition based Sentence Ranking for Multi-Document Summarization. | Guowei Zhang, Xuyun Zhang, Zhiyong Wang, Amin Beheshti |
| 2023 | Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. | Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng |
| 2023 | Tackling Model Mismatch with Mixup Regulated Test-Time Training. | Bochao Zhang, Rui Shao, Jingda Du, Pong C. Yuen, Wei Luo |
| 2023 | Are GNNs the Right Tool to Mine the Blockchain? The Case of the Bitcoin Generator Scam. | Zhikun Yuen, Paula Branco, Aaron Chew, Guy-Vincent Jourdan, Fabian Lim, Laura Wynter |