| 2024 | Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data. | Padmaksha Roy, Himanshu Singhal, Timothy J. O'Shea, Ming Jin |
| 2024 | Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis. | S. M. Rafiuddin, Mohammed Rakib, Sadia Kamal, Arunkumar Bagavathi |
| 2024 | CMed-GPT: Prompt Tuning for Entity-Aware Chinese Medical Dialogue Generation. | Zhijie Qu, Juan Li, Zerui Ma, Jianqiang Li |
| 2024 | DiffFind: Discovering Differential Equations from Time Series. | Lalithsai Posam, Shubhranshu Shekhar, Meng-Chieh Lee, Christos Faloutsos |
| 2024 | Quantifying Opinion Rejection: A Method to Detect Social Media Echo Chambers. | Kushani Perera, Shanika Karunasekera |
| 2024 | LongStory: Coherent, Complete and Length Controlled Long Story Generation. | Kyeongman Park, Nakyeong Yang, Kyomin Jung |
| 2024 | An Automated Approach for Generating Conceptual Riddles. | Niharika Sri Parasa, Chaitali Diwan, Srinath Srinivasa, Prasad Ram |
| 2024 | UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering. | Lei Pan, Von-Wun Soo |
| 2024 | A Novel SegNet Model for Crack Image Semantic Segmentation in Bridge Inspection. | Rong Pang, Hao Tan, Yan Yang, Xun Xu, Nanqing Liu, Peng Zhang |
| 2024 | Clustering-Friendly Representation Learning for Enhancing Salient Features. | Toshiyuki Oshima, Kentaro Takagi, Kouta Nakata |
| 2024 | Agent-Based Simulation of Decision-Making Under Uncertainty to Study Financial Precarity. | Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian |
| 2024 | Combating Quality Distortion in Federated Learning with Collaborative Data Selection. | Duc Long Nguyen, Phi Le Nguyen, Truong Thao Nguyen |
| 2024 | SeeM: A Shared Latent Variable Model for Unsupervised Multi-view Anomaly Detection. | Phuong Nguyen, Tuan M. V. Le |
| 2024 | Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision. | Yasmine Mustafa, Tie Luo |
| 2024 | Weighted Chaos Game Representation for Molecular Sequence Classification. | Taslim Murad, Sarwan Ali, Murray Patterson |
| 2024 | Adversarial Text Purification: A Large Language Model Approach for Defense. | Raha Moraffah, Shubh Khandelwal, Amrita Bhattacharjee, Huan Liu |
| 2024 | A Model for Retrieving High-Utility Itemsets with Complementary and Substitute Goods. | Raghav Mittal, Anirban Mondal, P. Krishna Reddy, Mukesh K. Mohania |
| 2024 | Decomposing Relational Triple Extraction with Large Language Models for Better Generalization on Unseen Data. | Boyu Meng, Tianhe Lin, Deqing Yang |
| 2024 | SASBO: Sparse Attack via Stochastic Binary Optimization. | Yihan Meng, Weitao Li, Lin Shang |
| 2024 | Knowledge-Infused Optimization for Parameter Selection in Numerical Simulations. | Julia Meiner, Dominik Gddeke, Melanie Herschel |
| 2024 | SemPool: Simple, Robust, and Interpretable KG Pooling for Enhancing Language Models. | Costas Mavromatis, Petros Karypis, George Karypis |
| 2024 | LEAF: A Less Expert Annotation Framework with Active Learning. | Aishan Maoliniyazi, Chaohong Ma, Xiaofeng Meng, Yingtao Peng |
| 2024 | Multi-modal Recurrent Graph Neural Networks for Spatiotemporal Forecasting. | Nicholas Majeske, Ariful Azad |
| 2024 | DQAC: Detoxifying Query Auto-completion with Adapters. | Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar |
| 2024 | Hyperparameter Tuning MLP's for Probabilistic Time Series Forecasting. | Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme |