| 2024 | Health CLIP: Depression Rate Prediction Using Health Related Features in Satellite and Street View Images. | Tianjian Ouyang, Xin Zhang, Zhenyu Han, Yu Shang, Yong Li |
| 2024 | The Matter of Captchas: An Analysis of a Brittle Security Feature on the Modern Web. | Behzad Ousat, Esteban Schafir, Duc C. Hoang, Mohammad Ali Tofighi, Cuong V. Nguyen, Sajjad Arshad, A. Selcuk Uluagac, Amin Kharraz |
| 2024 | Breaking the Bot Barrier: Evaluating Adversarial AI Techniques Against Multi-Modal Defense Models. | Behzad Ousat, Dongsheng Luo, Amin Kharraz |
| 2024 | Follow the Path: Hierarchy-Aware Extreme Multi-Label Completion for Semantic Text Tagging. | Natalia Ostapuk, Julien Audiffren, Ljiljana Dolamic, Alain Mermoud, Philippe Cudr-Mauroux |
| 2024 | Cornac-AB: An Open-Source Recommendation Framework with Native A/B Testing Integration. | Darryl Ong, Quoc-Tuan Truong, Hady W. Lauw |
| 2024 | Finding Densest Subgraphs with Edge-Color Constraints. | Lutz Oettershagen, Honglian Wang, Aristides Gionis |
| 2024 | Group-wise K-anonymity meets (ε, δ) Differentially Privacy Scheme. | Kenneth Odoh |
| 2024 | Dynamic Multi-Network Mining of Tensor Time Series. | Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai |
| 2024 | Graph Contrastive Learning with Kernel Dependence Maximization for Social Recommendation. | Xuelian Ni, Fei Xiong, Yu Zheng, Liang Wang |
| 2024 | Diffusion Recommendation with Implicit Sequence Influence. | Yong Niu, Xing Xing, Zhichun Jia, Ruidi Liu, Mindong Xin, Jianfu Cui |
| 2024 | Unveiling Wash Trading in Popular NFT Markets. | Yuanzheng Niu, Xiaoqi Li, Hongli Peng, Wenkai Li |
| 2024 | Interpretation-Empowered Neural Cleanse for Backdoor Attacks. | Liang-Bo Ning, Zeyu Dai, Jingran Su, Chao Pan, Luning Wang, Wenqi Fan, Qing Li |
| 2024 | Debiasing Recommendation with Personal Popularity. | Wentao Ning, Reynold Cheng, Xiao Yan, Ben Kao, Nan Huo, Nur Al Hasan Haldar, Bo Tang |
| 2024 | Team Formation amidst Conflicts. | Iasonas Nikolaou, Evimaria Terzi |
| 2024 | Detecting Financial Bots on the Ethereum Blockchain. | Thomas Niedermayer, Pietro Saggese, Bernhard Haslhofer |
| 2024 | Globally Interpretable Graph Learning via Distribution Matching. | Yi Nian, Yurui Chang, Wei Jin, Lu Lin |
| 2024 | Human vs ChatGPT: Effect of Data Annotation in Interpretable Crisis-Related Microblog Classification. | Thi Huyen Nguyen, Koustav Rudra |
| 2024 | Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training. | Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Nguyen, Vu Tien Hoang, Dung D. Le, Kok-Seng Wong |
| 2024 | Diffusion-based Negative Sampling on Graphs for Link Prediction. | Trung-Kien Nguyen, Yuan Fang |
| 2024 | Love-Hate Dataset: A Multi-Modal Multi-Platform Dataset Depicting Emotions in the 2023 Israel-Hamas War. | Lynnette Hui Xian Ng, Adrian Xuan Wei Lim, Roy Ka-Wei Lee |
| 2024 | How Contentious Terms About People and Cultures are Used in Linked Open Data. | Andrei Nesterov, Laura Hollink, Jacco van Ossenbruggen |
| 2024 | Experimental Security Analysis of Sensitive Data Access by Browser Extensions. | Asmit Nayak, Rishabh Khandelwal, Earlence Fernandes, Kassem Fawaz |
| 2024 | Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection. | Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee |
| 2024 | Automatic Construction of Expiration Time Expression Dataset from Retweets. | Hirotaka Nagashima, Keishi Tajima |
| 2024 | Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks. | Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas, Andreas Damianou |