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Filippos Gouidis: Recognizing Objects States by combining data-driven and symbolic methods[PDF]
Shaguna Gupta: Multi-Agent Deep Reinforcement Learning for Improved Highway Travel Time Reliability[PDF]
Idriss Jairi: Design and development of intelligent performance indicators for environmental preservation support based on the "water-air-soil" strategy[PDF]
Tobias John: Planning with Description Logic Ontologies[PDF]
Joanna Kaczmarek: Structural Control in Simple Coalitional Games[PDF]
Lukáš Korel: Enhancing knowledge graphs using scientific texts by neural networks[PDF]
Shuolin Li: Guiding Problem Simplification with Variable Activities in SAT Solvers[PDF]
Evanfiya Logacheva: Leveraging Generative AI for Computing Education[PDF]
Michele Joshua Maggini: Detection of Hyperpartisan Political News[PDF]
Marco Magliocco: Aortic district segmentation using a 2.5D Convolutional Neural Network Architecture[PDF]
Eleonora Mancini: Data Representation, Fusion and Interpretability in Multimodal Deep Learning for Natural Language Processing[PDF]
Carlos March Moya: A Constraint Programming Solver Selector for JSP Addressing Energy Efficiency and Tardiness[PDF]
Erik Bran Marino: The Impact of Population Replacement Conspiracy Theories on Support for Extreme-Right Parties in Southern Europe: An NLP Approach[PDF]
Dimitris Michailidis: Multi-Objective Transport Network Design with Reinforcement Learning[PDF]
Julius Monsen: Enhancing Multi-Object Tracking with Commonsense Visuospatial Introspection[PDF]
Balázs Mosolygó: A Framework for Accountable Knowledge Graph Extraction from Text[PDF]
Elio Musacchio: Multilingual and Multimodal Approaches to Language Modeling[PDF]
Divyasha Sunil Naik: Enhancing Knowledge Graph Construction Using Large Language Models[PDF]
Nicole Orzan: The Impact of Uncertainty and Incentive Alignment on Multi-Agent Cooperation[PDF]
Santiago Paramés Estévez: A review on the use of FastSAM for the creation of custom automatic segmentation models for medicine and biology[PDF]
Gianmarco Parretti: Synthesis With Multiple Specifications[PDF]
Dylan Perdigão: Bayesian Causal Inference in Deep Spiking Neural Networks[PDF]
Daniele Potertì: LLMs in the Neurosymbolic Cycle[PDF]
Erica Raina: AI supports for medical training and education, based on clinical guidelines[PDF]
Jie Ren: Copyright Protection in Generative AI[PDF]
Giacomo Rosa: Count-Based Novelty Exploration in Classical Planning[PDF]
Josep Maria Salvia Hornos: Synthetic Data through Combinatorial Optimization of Pairwise Probabilities[PDF]
Valentina Sanchez Melchor: Topological Deep Learning for Interpretable Brain Network Analysis[PDF]
Israel Shitta: Towards concept-based explanations for image classifiers[PDF]
Václav Sobotka: Real-World Vehicle Routing: from plan to its execution[PDF]
Seho Son: Multiphysics-Informed Deep Operator Network for an Artificial Intelligence Transformation of Permanent Magnet Synchronous Motor[PDF]
Manuel de Sousa Ribeiro: Symbolic Interpretations of Artificial Neural Networks[PDF]
Amath Sow: Cluster-Based approach for multi UAVs Route planning in a Dynamic Environment[PDF]
Angela van Sprang: Interpretability of Time Series Transformers[PDF]
Ajdin Sumic: A Global Framework for Temporal Coordination of Interdependent Plans in Multi-agent Systems[PDF]
Henri Surugue: Strategic Voting in Presence of Incomplete or Misleading Information[PDF]
Anna Temerko: Regular Polysemy Representation in Large Language Models[PDF]
Jan-Philipp Töberg: Supporting Cognitive Robots in Dynamic Environments Through Commonsense and Large Language Models[PDF]
Nakul Upadhya: NeurCAM: Interpretable Neural Clustering via Additive Models[PDF]
Celeste Veronese: Towards efficient and explainable reinforcement learning through online inductive learning from answer sets[PDF]
Adile Yasar: Human vs. AI: An Experimental Study of Competitive Motivation[PDF]
Uladzislau Yorsh: Processing Very Long Sequences with Neural Networks[PDF]
Taraneh Younesian: Unveiling Influence: Interpretable Learning on Graphs through Identification of Influential Subgraphs[PDF]
Miriam Zawadi Muchika: Autonomous Digital Twins: a new architecture for decision-making in Open Cyber-Physical systems[PDF]
