| 2024 | Evaluating Vision Language Models in Detecting Learning Engagement. | Jayant Teotia, Xulang Zhang, Rui Mao, Erik Cambria |
| 2024 | ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction. | Kshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar, Dan Lu |
| 2024 | Futures Quantitative Investment With Heterogeneous Continual Graph Neural Network. | Zhizhong Tan, Min Hu, Bin Liu, Guosheng Yin |
| 2024 | Margin-Bounded Confidence Scores for Out-of-Distribution Detection. | Lakpa Dorje Tamang, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal |
| 2024 | Beyond Overall Accuracy: Exploring Per-Class Performance Reveals Robustness and Safety Gaps in Deep Models. | Kamil Szyc, Tomasz Walkowiak, Henryk Maciejewski |
| 2024 | A Data-Driven Approach for Ancillary Bundle Recommendation to Segmented Users. | Aakash Swami, Narendhar Gugulothu, Tirumala V, Sanjay Bhat |
| 2024 | Information Extraction: Unstructured to Structured for ESG Reports. | Zounachuan Sun, Ranjan Satapathy, Daixue Guo, Bo Li, Xinyuan Liu, Yangchen Zhang, Cheng-Ann Tan, Ricardo Shirota Filho, Rick Siow Mong Goh |
| 2024 | Debunking Fake News in Online Social Networks Without Text Analysis. | Xing Su, Jian Yang, Jia Wu, Zitai Qiu |
| 2024 | Mamba for Scalable and Efficient Personalized Recommendations. | Andrew Starnes, Clayton G. Webster |
| 2024 | Efficient Network Embedding by Approximate Equitable Partitions. | Giuseppe Squillace, Mirco Tribastone, Max Tschaikowski, Andrea Vandin |
| 2024 | Pointwise reliability metrics for machine learning model predictions: three different approaches. | Jos Sousa, Simo Paredes, Jorge Henriques, Lino Gonalves, Teresa Rocha |
| 2024 | Constructing $\epsilon$-Constrained Sparsified $\beta^{s}$-Complexes using Space Partitioning Trees. | Rohit P. Singh, Philip A. Wilsey |
| 2024 | Structure Aware Loss for Deep Unsupervised Industrial Image Registration. | Yong Shi, Mengjin Lyu, Zhiquan Qi |
| 2024 | Transitivity-Encoded Graph Attention Networks for Complementary Item Recommendations. | Jin Shang, Yang Jiao, Chenghuan Guo, Minghao Sun, Yan Gao, Jia Liu, Michinari Momma, Itetsu Taru, Yi Sun |
| 2024 | PriSM: Privacy-Preserving Social Media Text Processing and Analytics Framework. | Sakib Shahriar, Rozita Dara |
| 2024 | LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering. | Nikita Severin, Aleksei Ziablitsev, Yulia Savelyeva, Valeriy Tashchilin, Ivan Bulychev, Mikhail Yushkov, Artem Kushneruk, Amaliya Zaryvnykh, Dmitrii Kiselev, Andrey V. Savchenko, Ilya Makarov |
| 2024 | An Adaptive Method Stabilizing Activations for Enhanced Generalization. | Hyunseok Seung, Jaewoo Lee, Hyunsuk Ko |
| 2024 | Mining patterns for proactive management of procure-to-pay exceptions. | Satya Narayana Samudrala, Uday Chandra Bhookya, Maitreya Natu |
| 2024 | Unsupervised Graph-Based Anomaly Detection Using Variational Autoencoder. | Zeinab Sadat Sadrolhefazi, Hadi Zare, Seyyed Amir Asghari, Parham Moradi, Mahdi Jalili |
| 2024 | Online Adaptive Local Interpretable Tree Ensembles for Time Series Forecasting. | Amal Saadallah |
| 2024 | Rank Supervised Contrastive Learning for Time Series Classification. | Qianying Ren, Dongsheng Luo, Dongjin Song |
| 2024 | CardioNetFusion: A Deep Learning and Explainable AI Integrated System for Cardiovascular Disease Detection. | Gunasekaran Raja, Selvam Essaky, Surya Raj Muthu, Babith Sarish Suresh, Jaehyuk Cho, Seohyun Yoo, Sathishkumar Veerappampalayam Easwaramoorthy |
| 2024 | ChronoCTI: Mining Knowledge Graph of Temporal Relations Among Cyberattack Actions. | Rayhanur Rahman, Brandon Wroblewski, Quinn Matthews, Brantley Morgan, Timothy Menzies, Laurie A. Williams |
| 2024 | Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection. | Bo Qu, Zhurong Wang, Minghao Gu, Daisuke Yagi, Yang Zhao, Yinan Shan, Frank Zahradnik |
| 2024 | Financial Risk Assessment via Long-term Payment Behavior Sequence Folding. | Yiran Qiao, Yateng Tang, Xiang Ao, Qi Yuan, Ziming Liu, Chen Shen, Xuehao Zheng |