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| 2025 | ForecastBoost: An Ensemble Learning Model for Road Traffic Forecasting. | Syed Muhammad Abrar Akber, Sadia Nishat Kazmi, Ali Muqtadir, Syed Muhammad Zubair Akber |
| 2025 | Incentive Design in Hedonic Games with Permission Structures. | Yuta Akahoshi, Yao Zhang, Kei Kimura, Taiki Todo, Makoto Yokoo |
| 2025 | Classification of Complaints Text Data by Ensembling Large Language Models. | Pruthweesha Airani, Neha Pipada, Pratik Shah |
| 2025 | Teaching CNNs Where to Look: A SIFT-Guided Attention Framework for Efficient LULC Classification. | Vian Abdulmajeed Ahmed, Khaled Jouini, Ouajdi Korbaa |
| 2025 | Enhancing LULC Classification with Attention-Based Fusion of Handcrafted and Deep Features. | Vian Abdulmajeed Ahmed, Khaled Jouini, Ouajdi Korbaa |
| 2025 | Population Protocols for Adaptive Event Dissemination with Autonomous Agents in Vehicular Networks. | Vincenzo Agate, Farwa Batool, Antonio Bordonaro, Alessandra De Paola, Pierluca Ferraro, Giuseppe Lo Re, Marco Morana, Antonio Virga |
| 2025 | Brain-Driven Robotic Arm: Prototype Design and Initial Experiments. | Fatma Abdelhdi, Lama Taha Aljedaani, Amal Abdallah Batheeb, Renad Abdullah Aldahasi |
| 2025 | Bridging the Semantic Gap in vGOAL for Verifiable Autonomous Decision-Making. | Yi Yang, Tom Holvoet |
| 2025 | Improving Temporal Knowledge Graph Completion via Tensor Decomposition with Relation-Time Context and Multi-Time Perspective. | Nam Le, Thanh Le, Bac Le |
| 2025 | Improving Temporal Knowledge Graph Forecasting via Multi-Rewards Mechanism and Confidence-Guided Tensor Decomposition Reinforcement Learning. | Nam Le, Thanh Le, Bac Le |
| 2025 | Synthetic Data Generation for Emergency Medical Systems: A Systematic Comparison of Tabular GAN Extensions. | Md Faisal Kabir, Md Majharul Islam Nayem, Sven Tomforde |
| 2025 | Mitigating Algorithmic Bias in Prostate Cancer Risk Stratification with Responsible Artificial Intelligence and Machine Learning. | Meghana Kshirsagar, Mihir Sontakke, Gauri Vaidya, Ahmad Alkhan, Aideen Killeen, Conor Ryan |
| 2025 | Predicting the State of Health of Supercapacitors Using a Federated Learning Model with Homomorphic Encryption. | Vctor Lpez, Oscar Fontenla-Romero, Elena Hernndez-Pereira, Bertha Guijarro-Berdias, Carlos Blanco-Seijo, Samuel Fernndez-Paz |
| 2025 | PIMAEX: Multi-Agent Exploration Through Peer Incentivization. | Michael Klle, Johannes Tochtermann, Julian Schnberger, Gerhard Stenzel, Philipp Altmann, Claudia Linnhoff-Popien |
| 2025 | VITAMIN: A Compositional Framework for Model Checking of Multi-Agent Systems. | Angelo Ferrando, Vadim Malvone |
| 2025 | Heating up Interactions in an Agent-Based Simulation to Ensure Narrative Interest. | Gonzalo Mndez, Pablo Gervs |
| 2025 | Formal Reasoning About Trusted Third Party Protocols. | Aaron Hunter |
| 2024 | Better Spacial Hashing with Linear Memory Usage and Parallelism. | Mykola Zhyhallo, Bozena Wozna-Szczesniak |
| 2024 | Analysis of Intraday Financial Market Using ML and Neural Networks for GBP/USD Currency Pair Price Forecasting. | Melis Zhalalov, Vitaliy Milke |
| 2024 | Interactively Teaching an Inverse Reinforcement Learner with Limited Feedback. | Rustam Zayanov, Francisco S. Melo, Manuel Lopes |
| 2024 | I-AM-Birds (ImB-2): Keep Detecting Amazonian Bird Species. | Lucas Ferro Zampar, Clay Palmeira da Silva |
| 2024 | I-AM-Bird: A Deep Learning Approach to Detect Amazonian Bird Species in Residential Environments. | Lucas Ferro Zampar, Clay Palmeira da Silva |
| 2024 | Time Series Prediction Models in Healthcare: Systematic Literature Review. | Zina Zammel, Nesrine Khabou, Lotfi Souifi, Ismael Bouassida Rodriguez |
| 2024 | Multi-Granular Evaluation of Diverse Counterfactual Explanations. | Yining Yuan, Kevin McAreavey, Shujun Li, Weiru Liu |