| 2024 | Multi-stock Movements Classification: A Decoupled Graph Diffusion Neural Network Approach. | Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge |
| 2024 | DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. | Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge |
| 2024 | Clustering-Based Approach to Strategy Selection for Meta-Strategy in Automated Negotiation. | Hiroyasu Yoshino, Katsuhide Fujita |
| 2024 | Linux System Call Level Dynamic Analysis Towards Programming Language Translation. | Narumi Yoneda, Ryo Hatano, Hiroyuki Nishiyama |
| 2024 | System-Call-Level Dynamic Analysis for Code Translation Candidate Selection. | Narumi Yoneda, Ryo Hatano, Hiroyuki Nishiyama |
| 2024 | Nudging Automated Planners with Learned User Preferences. | Fusun Yaman, Thomas C. Eskridge, Ron Scott, Li Lin, Jeff Miller, Daniel Carpenter |
| 2024 | AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis. | Kebin Wu, Wenbin Li, Xiaofei Xiao |
| 2024 | A Multi-Stage Approach to Image Consistency in Zero-Shot Character Art Generation for the D&D Domain. | Gayashan Weerasundara, Nisansa de Silva |
| 2024 | A Multi-Task Learning Framework for Image Restoration Using a Novel Generative Adversarial Network. | Rim Walha, Fadoua Drira, Rania Bedhief |
| 2024 | A Challenging Data Set for Evaluating Part-of-Speech Taggers. | Mattias Wahde, Minerva Suvanto, Marco L. Della Vedova |
| 2024 | Models with Verbally Enunciated Explanations: Towards Safe, Accountable, and Trustworthy Artificial Intelligence. | Mattias Wahde |
| 2024 | Dynamic Path Planning for Autonomous Vehicles Using Adaptive Reinforcement Learning. | Karim Wahdan, Nourhan Ehab, Yasmin Mansy, Amr El Mougy |
| 2024 | Diversifying Knowledge Enhancement of Biomedical Language Models Using Adapter Modules and Knowledge Graphs. | Juraj Vladika, Alexander Fichtl, Florian Matthes |
| 2024 | Advanced Evaluation of Variable Binding Strategies in BDI Agents with Integrated Failure Handling. | Frantisek Vidensky, Frantisek Zboril Jr., Radek Koc, Frantisek Zboril |
| 2024 | Comparing Variable Handling Strategies in BDI Agents: Experimental Study. | Frantisek Vidensky, Frantisek Zboril, Jan Beran, Radek Koc, Frantisek Vtezslav Zboril |
| 2024 | Simulation of Consumers Behavior Facing Discounts and Promotions. | Jarod Vanderlynden, Philippe Mathieu, Romain Warlop |
| 2024 | Partial Tensorized Transformers for Natural Language Processing. | Subhadra Vadlamannati, Ryan Solgi |
| 2024 | Natural Language-Based Reinforcement Learning for Acquiring Commonsense Knowledge from Partial Scenarios. | Fumito Uwano, Ryota Kubo, Manabu Ohta |
| 2024 | Assessing Routing Decisions of Search and Rescue Teams in Service of an Artificial Social Intelligence Agent. | Volkan Ustun, Ronit Jorvekar, Nikolos Gurney, David V. Pynadath, Yunzhe Wang |
| 2024 | Explainability Insights to Cellular Simultaneous Recurrent Neural Networks for Classical Planning. | Michaela Urbanovsk, Antonn Komenda |
| 2024 | Multi-Agent Archive-Based Inverse Reinforcement Learning by Improving Suboptimal Experts. | Shunsuke Ueki, Keiki Takadama |
| 2024 | Facial Expression-Based Drowsiness Detection System for Driver Safety Using Deep Learning Techniques. | Amina Turki, Sirine Ammar, Mohamed Karray, Mohamed Ksantini |
| 2024 | Mitigating Rare but Catastrophic Events Through Distributed Dynamic Evacuation Guidance Using Stochastic Multi-objective Risk Method. | Akira Tsurushima |
| 2024 | Simulation Analysis of Evacuation Guidance Using Dynamic Distributed Signage. | Akira Tsurushima |
| 2024 | Integrated Simulation Approach for Dynamic Distributed Evacuation Guidance Under Fire Spread and Rare but Catastrophic Events. | Akira Tsurushima |