| 2024 | Vehicle Energy Consumption Prediction Under Real-World Driving Conditions. | Binaya Sharma, Sayda Elmi, Kian-Lee Tan |
| 2024 | Explaining Teleo-reactive Strategic Behaviour. | Nausheen Saba Shahid, Agnieszka Mensfelt, Kostas Stathis |
| 2024 | Lazy ad hoc Explanations for the Sum Constraint. | Suruthy Sekar, Gal Glorian, Wijnand Suijlen, ric Monfroy, Arnaud Lallouet |
| 2024 | An Ontology for Conversations with Virtual Research Assistants. | Anmol Saini, Jeffrey G. Ethier, Cogan Shimizu |
| 2024 | InFusionLayer: A CFA-Based Ensemble Tool to Generate New Classifiers for Learning and Modeling. | Eric W. Roginek, Jingyan Xu, D. Frank Hsu |
| 2024 | Generative Constraint Programming Revisited. | Florian Rgin, Elisabetta De Maria |
| 2024 | Towards Designing an Energy Efficient Accelerated Sparse Convolutional Neural Network. | Vijaypal Singh Rathor, Munesh Singh, Rahul Gupta, G. K. Sharma, Kshira Sagar Sahoo, Monowar Bhuyan |
| 2024 | Multi-Input Deep Learning Models for Weight Forecasting of Pigs Using Depth Images. | Pranjal Ranjan, Dong Sam Ha, Gota Morota, Sook Shin Ha |
| 2024 | Improved Pig Behavior Analysis Through Strategic Data Preprocessing Framework in Machine Learning. | Pranjal Ranjan, Sanjana Bharadwaj, Yingqi Pei, Kenan Burak Aydin, Dong Sam Ha, Gota Morota, Sook Shin Ha |
| 2024 | The Power of Collaboration: Learning Large Bayesian Networks at Scale. | Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider, Hai Xia |
| 2024 | Boosting Imperceptibility of Adversarial Attacks for Environmental Sound Classification. | Shaojian Qiu, Xiaokang You, Wei Rong, Lifeng Huang, Yun Liang |
| 2024 | PatentALL: Multi-label Patent Classification Using Adaptive Label Learning. | Yifan Qiang, Gaojie Sun, Hui Liu |
| 2024 | Estimating Power Consumption of GPU Application Using Machine Learning Tool. | Gargi Alavani Prabhu, Tanish Desai, Sharvil Potdar, Nayan Gogari, Snehanshu Saha, Santonu Sarkar |
| 2024 | A Comparison of Low-Shot Learning Methods for Imbalanced Binary Classification. | Preston Billion-Polak, Taghi M. Khoshgoftaar |
| 2024 | Near-Linear Time Projection onto the $\ell_{1, \infty}$ Ball; Application to Sparse Neural Networks. | Guillaume Perez, Laurent Condat, Michel Barlaud |
| 2024 | A Machine Learning Based Tool to Estimate Coolant Engine Temperature Based on Motorcycle Riding Data. | Federico Pennino, Davide Sette, David Attisano, Maurizio Gabbrielli |
| 2024 | An Improved Negative Selection Algorithm Based on a T Cell Multilayer Immune Tolerance Mechanism. | Lu Peng, Yiwen Liang, He Yang |
| 2024 | Parameterised Treewidth for Constraint Modelling Languages. | Justin Pearson |
| 2024 | Remember Your Best: Improving Exploitation in Deep Q-Network. | Trupal Patel, Aasmaan Gupta, Raghuram Bharadwaj Diddigi |
| 2024 | Memory and Schema in Human-Generative Artificial Intelligence Interactions. | Dimitrios P. Panagoulias, Persephone Papatheodosiou, Anastasios Bonakis, Dimitrios Dikeos, Maria Virvou, George A. Tsihrintzis |
| 2024 | An Evaluation of Large Language Models for Geological Named Entity Recognition. | Rafael Oleques Nunes, Andre Suslik Spritzer, Dennis Giovani Balreira, Carla M. D. S. Freitas, Joel Luis Carbonera |
| 2024 | Linear Algebraic Partial Evaluation of Logic Programs. | Tuan Nguyen, Katsumi Inoue, Chiaki Sakama |
| 2024 | Planning with Incomplete Knowledge and Uncertain Goals: A Comparative Evaluation. | H. C. Nagalla, R. V. Nagireddypalli, S. B. Naidu, N. G. Nalamasa, K. P. Nalla, N. Bourbakis |
| 2024 | Comparing Diverse Planning Strategies with Continuous Monte Carlo Tree Search Applied to Hybrid Gene Regulatory Networks. | Romain Michelucci, Jean-Paul Comet, Denis Pallez |
| 2024 | TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting. | Hongnan Ma, Kevin McAreavey, Weiru Liu |