| 2024 | Leveraging A* Pathfinding for Efficient Deep Reinforcement Learning in Obstacle-Dense Environments. | Junior Samuel Lpez-Ypez, Antoine Fagette, Charles Dansereau, Filipe Carvalhais Sanches |
| 2024 | A Game-Theoretic Framework for Approximation with Soft Sets. | Chenqi Li, JingTao Yao |
| 2024 | Exploring Multi-Label Data Augmentation for LLM Fine-Tuning and Inference in Requirements Engineering: A Study with Domain Expert Evaluation. | Hanyue Liu, Marina Bueno Garca, Nikolaos Korkakakis |
| 2024 | REFORMER: A ChatGPT-Driven Data Synthesis Framework Elevating Text-to-SQL Models. | Shenyang Liu, Saleh Almohaimeed, Liqiang Wang |
| 2024 | Evaluating Large Language Models in Vulnerability Detection Under Variable Context Windows. | Jie Lin, David Mohaisen |
| 2024 | Effectively Prompting Small-Sized Language Models for Cross-Lingual Tasks via Winning Tickets. | Mingqi Li, Feng Luo |
| 2024 | M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps. | Peiyu Li, Omar Bahri, Soukana Filali Boubrahimi, Shah Muhammad Hamdi |
| 2024 | Diffusion Equation Based Subspace Extraction of Image Data for Fast K-Means. | Bingcheng Li |
| 2024 | Localized Recommendation in Assembly Modeling: Employing GNNs for Targeted Part Placement. | Carola Lenzen, Wolfgang Reif |
| 2024 | Predicting Fold-Switching Protein Behavior Using Graph Neural Networks. | Avi Lekkelapudi, Darnell Granberry |
| 2024 | Predicting Particulate Matter Values in Metropolitan Areas Using Machine Learning. | Andrs Leiva-Araos, Tushya Vemuri, David Mena, Xudong Liu |
| 2024 | Mitigating the Effects of Concept Drift from Data Streams in Quantum Machine Learning. | Travis Lee, Muhammad Ismail, Samuel Yen-Chi Chen |
| 2024 | Mental Stress Classification by Attention-Based CNN-LSTM Algorithm of Electrocardiogram Signal. | Jihun Lee, Jisun Hong, Daegil Choi, Jaehyo Jung |
| 2024 | Detecting Important Drivers of Gridded Population Modeling With Machine Learning. | Viswadeep Lebakula, Daniel S. Adams, Justin Epting, Clinton Stipek, Marie L. Urban |
| 2024 | Learning Interpretable Policies in Hindsight-Observable POMDPs Through Partially Supervised Reinforcement Learning. | Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik |
| 2024 | CFC-ATE: Causal Feature Construction via Average Treatment Effect. | Asmae Lamsaf, Hugo Proena, Joo C. Neves |
| 2024 | CyberLlama2 - MEDICALHARM Threat Modeling Assistant. | Emmanuel Kwarteng, Mumin Cebe, Jamila Kwarteng |
| 2024 | Location Invariant Flood Prediction using Fourier Neural Operator. | Chetan Kumar, Diana McSpadden, Steven Goldenberg, Malachi Schram, Heather Richter, Yidi Wang, Binata Roy, Jonathan L. Goodall |
| 2024 | Towards Physically Consistent Deep Learning For Climate Model Parameterizations. | Birgit Khbacher, Fernando Iglesias-Suarez, Niki Kilbertus, Veronika Eyring |
| 2024 | Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews. | Sofia Krylova, Fabian Schmidt, Vladimir Vlassov |
| 2024 | Fuels Demand Forecasting: Identifying Leading Feature Sets, Prediction Strategy, and Regressors. | Jonas Krause, Alexandre C. A. Beiruth, Jean Paul Barddal, Alceu S. Britto Jr., Vincius M. A. de Souza |
| 2024 | Learning Extended Forecasts of Soil Water Content via Physically-Inspired Autoregressive Models. | Ozmen Erkin Kokten, Raviv Raich, James Holmes, Alan Fern |
| 2024 | On the Effectiveness of Heterogeneous Ensemble Methods for Re-Identification. | Simon Klttermann, Jrme Rutinowski, Frederik Polachowski, Anh Nguyen, Britta Grimme, Moritz Roidl, Emmanuel Mller |
| 2024 | Towards Highly Efficient Anomaly Detection for Predictive Maintenance. | Simon Klttermann, Vanlal Peka, Philipp Doebler, Emmanuel Mller |
| 2024 | Characterizing the Impact of Common Electro-Optical Sensor Anomalies on Maritime Image Classifiers. | Sean D. Kim, John G. Warner, Quinton Davidson, Michael Tietz |