| 2024 | Deep Entire Space Cross Networks for Estimating Treatment Effect Under Unmeasured Confounding. | Han Qiao |
| 2024 | Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration. | Cheng Qian, Xianglong Shi, Shanshan Yao, Yichen Liu, Fengming Zhou, Zishu Zhang, Junaid Akram, Ali Braytee, Ali Anaissi |
| 2024 | ADOD: Adaptive Density Outlier Detection. | Li Qian, Jing Qian, Xin Sun, Wengang Guo, Christian Bhm |
| 2024 | A Momentum Contrastive Learning Framework for Query-POI Matching. | Yuting Qiang, Jianbing Zheng, Lixia Wu, Haomin Wen, Junhong Lou, Minhui Deng |
| 2024 | Exploratory Combinatorial Optimization Problem Solving via Gauge Transformation. | Tianle Pu, Changjun Fan, Mutian Shen, Yizhou Lu, Li Zeng, Zohar Nussinov, Chao Chen, Zhong Liu |
| 2024 | Solving Combinatorial Optimization Problem Over Graph Through QUBO Transformation and Deep Reinforcement Learning. | Tianle Pu, Chao Chen, Li Zeng, Shixuan Liu, Rui Sun, Changjun Fan |
| 2024 | A Bayesian Hierarchical Model for Orthogonal Tucker Decomposition with Oblivious Tensor Compression. | Matthew Pietrosanu, Bei Jiang, Linglong Kong |
| 2024 | Semi-Supervised Learning Trumps Active Learning in Cold-Starting Netflow-Based AI Network Intrusion Detection Systems on Scarce and Difficult Data. | Marek Pawlicki, Aleksandra Pawlicka, Ryszard S. Choras, Rafal Kozik, Michal Choras |
| 2024 | Enhancing Clinical Trust: The Role of AI Explainability in Transforming Healthcare. | Aleksandra Pawlicka, Marek Pawlicki, Dagmara Jaroszewska-Choras, Rafal Kozik, Michal Choras |
| 2024 | EMIT - Event-Based Masked Auto Encoding for Irregular Time Series. | Hrishikesh Patel, Ruihong Qiu, Adam Irwin, Shazia Sadiq, Sen Wang |
| 2024 | Multi-Hyperbolic Space-Based Heterogeneous Graph Attention Network. | Jongmin Park, Seunghoon Han, Jong-Ryul Lee, Sungsu Lim |
| 2024 | Trust in Machine Learning Models: Global and Individual Assessment. | Simo Paredes, Teresa Rocha, Snia Sousa, Jorge Henriques, Jos Sousa, Lino Gonalves |
| 2024 | On the classification of weather based on the production of photovoltaic installations. | Pawel Parczyk, Tobiasz Puslecki, Robert Burduk |
| 2024 | Sequential Block Elimination for Dynamic Pricing. | Shameem Puthiya Parambath, Saleh Abdullah M. Alfahad, Christos Anagnostopoulos, Kostas Kolomvatsos |
| 2024 | Accurate and Fast Estimation of Temporal Motifs Using Path Sampling. | Yunjie Pan, Omkar Bhalerao, C. Seshadhri, Nishil Talati |
| 2024 | IIFE: Interaction Information Based Automated Feature Engineering. | Tom Overman, Diego Klabjan, Jean Utke |
| 2024 | Sentiment Analysis on Climate Change for Sustainable Investment. | Keane Ong, Rui Mao, Deeksha Varshney, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo |
| 2024 | Data Augmentation Using Generative AI In Tomato Leaf Lesion Classification Problems. | Masaya Oirase, Eisuke Kita |
| 2024 | Warm-Starting Contextual Bandits Under Latent Reward Scaling. | Bastian Oetomo, R. Malinga Perera, Renata Borovica-Gajic, Benjamin I. P. Rubinstein |
| 2024 | Go-Kart Racing Simulator for Reinforcement Learning with Augmented Sim2Real Adaptation. | Ildar Nurgaliev, Andre Kuzminykh, Andrey V. Savchenko, Ilya Makarov |
| 2024 | Video-based learning of sign languages: one pre-train to fit them all. | Maxim Novopoltsev, Aleksandr Tulenkov, Ruslan Murtazin, Roman Akhidov, Iuliia Zemtsova, Emilia Bojarskaja, Daria Bondarenko, Andrey V. Savchenko, Ilya Makarov |
| 2024 | Finite Mixture Models for an underlying zero-one inflated Beta Distribution. | Cdric Noel, Jang Schiltz |
| 2024 | Hierarchical Explanations for Text Classification Models: Fast and Effective. | Zhenyu Nie, Zheng Xiao, Huizhang Luo, Xuan Liu, Anthony Theodore Chronopoulos |
| 2024 | Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder. | Duy A. Nguyen, Trang H. Tran, Huy Hieu Pham, Phi Le Nguyen, Lam M. Nguyen |
| 2024 | Generating Realistic Tabular Data with Large Language Models. | Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh |