| 2024 | Spread and (Mis)use of Evaluative Expressions in Human Written and LLM-Based Generated Text. | Maurice Langner, Ralf Klabunde |
| 2024 | GREED: GNN-Based Relation Extraction with Exhaustive Dependency Structure Analysis. | Mohamed Yassine Landolsi, Lobna Hlaoua, Lotfi Ben Romdhane |
| 2024 | GREED: Graph Learning Based Relation Extraction with Entity and Dependency Relations. | Mohamed Yassine Landolsi, Lobna Hlaoua, Lotfi Ben Romdhane |
| 2024 | Seeing Through the Smoke: An Agent Architecture for Representing Health Protection Motivation Under Social Pressure. | Veronika Kurchyna, Stephanie C. Rodermund, Ye Eun Bae, Patrick Mertes, Philipp Flgger, Jan Ole Berndt, Ingo J. Timm |
| 2024 | FAQ-Based Question Answering Systems with Query-Question and Query-Answer Similarity. | Vijay Kumari, Miloni Mittal, Yashvardhan Sharma, Lavika Goel |
| 2024 | A Study on Drug Similarity Measures for Predicting Drug-Drug Interactions and Severity Using Machine Learning Techniques. | Deepa Kumari |
| 2024 | Reward Design for Deep Reinforcement Learning Towards Imparting Commonsense Knowledge in Text-Based Scenario. | Ryota Kubo, Fumito Uwano, Manabu Ohta |
| 2024 | Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments. | Georg Kruse, Theodora-Augustina Dragan, Robert Wille, Jeanette Miriam Lorenz |
| 2024 | Is Amazon Kinesis Data Analytics Suitable as Core for an Event Processing Network Model? | Arne Koschel, Irina Astrova, Anna Pakosch, Christian Gerner, Christin Schulze, Matthias Tyca |
| 2024 | Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization. | Michael Klle, Karola Schneider, Sabrina Egger, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nlein, Claudia Linnhoff-Popien |
| 2024 | Quantum Transfer Learning: The Impact of Classical Preprocessing. | Michael Klle, Jonas Maurer, Philipp Altmann, Leo Snkel, Jonas Stein, Julian Hager, Sebastian Zielinski, Claudia Linnhoff-Popien |
| 2024 | Adapted Conflict Detection for Conflict Based Search. | Avgi Kollakidou, Leon Bodenhagen |
| 2024 | Multi-Agent Path Finding with Continuous Time Using SAT Modulo Linear Real Arithmetic. | Toms Kolrik, Stefan Ratschan, Pavel Surynek |
| 2024 | From Targets to Rewards: Continuous Target Sets in the Algorithmic Search Framework. | Milo Knell, Sahil Rane, Forrest Bicker, Tiger Che, Alan Wu, George D. Montaez |
| 2024 | GOLOG++ Hits the (Right) Spot: Interfacing Golog with a Quadruped Rescue Robot for High-Level Missions. | Maximillian Kirsch, Shubham Pawar, Alexander Ferrein, Stefan Schiffer |
| 2024 | Advancements and Challenges in Continual Learning for Natural Language Processing: Insights and Future Prospects. | Asma Kharrat, Fadoua Drira, Franck Lebourgeois, Bertrand Kerautret |
| 2024 | A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content. | Pervaiz Iqbal Khan, Muhammad Nabeel Asim, Andreas Dengel, Sheraz Ahmed |
| 2024 | Medi-CAT: Contrastive Adversarial Training for Medical Image Classification. | Pervaiz Iqbal Khan, Andreas Dengel, Sheraz Ahmed |
| 2024 | ConEX: A Context-Aware Framework for Enhancing Explanation Systems. | Yasmeen Khaled, Nourhan Ehab |
| 2024 | LACNN: A Deep Learning Model for Persian Question Analysis. | Fatemeh Ebrahimi Khaksefidi, Afsaneh Fatemi, Mohammad Ali Nematbakhsh, Mahsa Abazari Kia |
| 2024 | Optimization of Fuzzy Rule Induction Based on Decision Tree and Truth Table: A Case Study of Multi-Class Fault Diagnosis. | Abdelouadoud Kerarmi, Assia Kamal Idrissi, Amal El Fallah Seghrouchni |
| 2024 | Solving Job Shop Problems with Neural Monte Carlo Tree Search. | Marco Kemmerling, Anas Abdelrazeq, Robert H. Schmitt |
| 2024 | On Handling Concept Drift, Calibration and Explainability in Non-Stationary Environments and Resources Limited Contexts. | Sara Kebir, Karim Tabia |
| 2024 | Improving the Sum-of-Cost Methods for Reduction-Based Multi-Agent Pathfinding Solvers. | Roland Kaminski, Torsten Schaub, Klaus Strauch, Jir Svancara |
| 2024 | DRL4HFC: Deep Reinforcement Learning for Container-Based Scheduling in Hybrid Fog/Cloud System. | Ameni Kallel, Molka Rekik, Mahdi Khemakhem |