| 2024 | Fast and Accurate Triangle Counting in Graph Streams Using Predictions. | Cristian Boldrin, Fabio Vandin |
| 2024 | Handling Non-IID Data in Federated Learning using Metaheuristic Optimization Techniques. | Amin Birashk, Sadaf Md. Halim, Latifur Khan |
| 2024 | Incremental Gaussian Mixture Clustering for Data Streams. | Aniket Bhanderi, Raj Bhatnagar |
| 2024 | Normalizing Self-Supervised Learning for Provably Reliable Change Point Detection. | Alexandra Bazarova, Evgenia Romanenkova, Alexey Zaytsev |
| 2024 | An Explainable Recommender System by Integrating Graph Neural Networks and User Reviews. | Sahar Batmani, Parham Moradi, Narges Heidari, Mahdi Jalili |
| 2024 | Multilingual Sentiment Analysis for Investigating Perceptions of Globalization. | Anagha Ani, Erik Cambria |
| 2024 | Trust-based positional forgery detection in AI-driven autonomous intersection management using hybrid graph-based reinforcement learning. | Shajina Anand |
| 2024 | Fine-Tuning LLMs for Reliable Medical Question-Answering Services. | Ali Anaissi, Ali Braytee, Junaid Akram |
| 2024 | A New Index for Computer Science Conferences and Its Applications: The S-Index. | Sharareh Alipour, Sobhan Ebrahimi |
| 2024 | Context-Aware Offensive Meme Detection: A Multi-Modal Zero-Shot Approach with Caption-Enhanced Classification. | Faseela Abdullakutty, Somaya Al-Madeed, Usman Naseem |
| 2024 | Feature Map Purification for Enhancing Adversarial Robustness of Deep Timeseries Classifiers. | Mubarak G. Abdu-Aguye, Muhammad Zaigham Zaheer, Karthik Nandakumar |
| 2024 | Weakly-Supervised Graph Classification with Even a Single Key Subgraph Per Class. | Lu Zhang, Chenbo Zhang, Jihong Guan, Shuigeng Zhou |
| 2024 | GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs. | Wei Huang, Hanchen Wang, Dong Wen, Xuefeng Chen, Wenjie Zhang, Ying Zhang |
| 2024 | Scalable Order-Preserving Pattern Mining. | Ling Li, Wiktor Zuba, Grigorios Loukides, Solon P. Pissis, Maria Matsangidou |
| 2024 | Scaling Disk Failure Prediction via Multi-Source Stream Mining. | Shujie Han, Zirui Ou, Qun Huang, Patrick P. C. Lee |
| 2024 | LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data. | Bang An, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo |
| 2024 | DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. | Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu |
| 2024 | Outlier Exposure in Visual Industrial Anomaly Detection - Survey. | Yong Shi, Ruijie Xu, Zhiquan Qi |
| 2024 | DynoGraph: Dynamic Graph Construction for Nonlinear Dimensionality Reduction. | Li Qian, Claudia Plant, Yalan Qin, Jing Qian, Christian Bhm |
| 2024 | Early Fire Detection Based on Local Morphological Knowledge Matching. | Xinzhi Wang, Mengyue Li, Nengjun Zhu, Jiayan Qian, Zhanyi Zheng |
| 2024 | Emotional Synchronization for Audio-Driven Talking-Head Generation. | Zhao Zhang, Yan Luo, Zhichao Zuo, Richang Hong, Yi Yang, Meng Wang |
| 2024 | Towards Efficient Ridesharing via Order-Vehicle Pre-Matching Using Attention Mechanism. | Zhidan Liu, Jinye Lin, Zhiyu Xia, Chao Chen, Kaishun Wu |
| 2024 | Designing an Attack-Defense Game: How to Increase the Robustness of Financial Transaction Models Via a Competition. | Alexey Zaytsev, Maria Kovaleva, Alex Natekin, Evgeni Vorsin, Valerii Smirnov, Georgii Smirnov, Oleg Sidorshin, Alexander Senin, Alexander Dudin, Dmitry Berestnev |
| 2024 | SHADE: Deep Density-based Clustering. | Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Bhm, Claudia Plant |
| 2023 | Emotion Recognition in Social Network Texts Based on A Multilingual Architecture. | Jiajun Zou, Yexuan Zhang, Jinshuai Yang, Sixing Wu, Minghu Jiang, Yongfeng Huang |