Accepted Papers

Here is the list of papers accepted for presentation at ANSyA 2025, with the corresponding link to accessible pdfs:

ID:3. Florin Leon. “A Survey of Brain-Inspired Mechanisms for Neuro-Symbolic Reasoning”
ID:4. Kislay Raj and Alessandra Mileo. “Neurosymbolic AI for GNN Explainability: A Survey”
ID:5. Darian Onchis and Eduard Hogea. “Logic Meets Attention: A Neuro-symbolic Approach to Vibration Fault Detection”
ID:6. Nicolas Robert, Pierre Monnin and Catherine Faron. “Semantically Enriched Datasets for Link Prediction: DB100k+, NELL-995+ and YAGO3-10+”
ID:7. Tatiana Boura and Nikos Katzouris. “Neuro-symbolic Complex Event Recognition in Autonomous Driving”
ID:8. Zacchary Sadeddine and Suchanek Fabian. “Neuro-Symbolic Logical Reasoning with Textual Entailment”
ID:9. Jean-Marc Boutay, Quentin Leblanc, Damian Boquete, Deniz Köprülü, Ludovic Pfeiffer and Guido Bologna. “Explaining CNN Classifications Using Small Patches”
ID:10. Nikolaos Giarelis, Charalampos Mastrokostas and Nikos Karacapilidis. “VectorGraphRAG: Automatic Knowledge Graph Construction and Memory Efficient Triplet Ranking for Medical Question Answering”
ID:11. Jens Gebele, Anne Vetter, Philipp Brune, Frank Schwab and Sebastian von Mammen. “Exploring Neuro-Symbolic AI for Facial Emotion Recognition”
ID:12. Irene Ferfoglia, Simone Silvetti, Gaia Saveri, Laura Nenzi and Luca Bortolussi. “Towards Interpretable Concept Learning over Time Series via Temporal Logic Semantics”
ID:13. Christoforos Romesis and Stasinos Konstantopoulos. “A Challenging Dataset of Jet Engine Fault Scenarios”
ID:15. Marco Monti and Ruslan Idelfonso Magana Vsevolodovna. “Enhancing Large Language Models through Neuro-Symbolic Integration and Ontological Reasoning for Automotive Maintenance”
ID:17. Fabio Lusha, Agnese Chiatti, Sara Pidò, Nico Catalano and Matteo Matteucci. “Graph Against the Machine: a Neuro-Symbolic Approach for Enhanced Video Question Answering”
ID:18. Luca Salvatore Lorello, Laura Carnevali, Marco Lippi and Stefano Melacci. “Neuro-Symbolic Learning from Temporal Sequences in Safety-Critical Systems”
ID:19. Mattia Chiari, Luca Putelli, Nicholas Rossetti, Ivan Serina and Alfonso Emilio Gerevini. “On Planning Through LLMs”
ID:20. Benjamin Teoh, Ben Glocker, Francesca Toni and Avinash Kori. “Transparent Visual Reasoning via Object-Centric Agent Collaboration”
ID:21. Mattia Matteini, Giovanni Ciatto, Matteo Magnini, Emre Kuru, Reyhan Aydogan and Andrea Omicini. “A domain-specific language for NeSy focussing on symbolic knowledge injection”
ID:22. Petros Vasileiadis, Emanuele De Angelis, Maurizio Proietti and Francesca Toni. “Neuro-Argumentative Machine Learning with Legal Text”
ID:23. Massimiliano Tummolo, Mattia Chiari, Luca Putelli, Nicholas Rossetti, Ivan Serina and Alfonso Emilio Gerevini. “R-PlanGPT: Neuro-Symbolic Plan Generation via Transformer-based Language Models”

ID:25. Claudiu Leoveanu-Condrei. “A DbC Inspired Neurosymbolic Layer for Trustworthy Agent Design”
ID:26. Erkan Karabulut, Daniel Daza, Paul Groth and Victoria Degeler. “Discovering Association Rules in High-Dimensional Small Tabular Data”
ID:28. Midhat Urooj, Ayan Banerjee, Sandeep Gupta, Farhat Abdul Rauf Shaikh and Kuntal Prakash Thakur. “Single Domain Generalization in Diabetic Retinopathy: A Neuro-Symbolic Learning Approach”
ID:29. Adrian Kaiser, Claudiu Leoveanu-Condrei, Ryan Gold, Marius-Constantin Dinu and Markus Hofmarcher. “HyDRA: A Hybrid-Driven Reasoning Architecture for Verifiable Knowledge Graphs”
ID:30. Wout Rombouts, Quinten Van Baelen and Peter Karsmakers. “Constraint-Guided PINNs: A Constrained Optimization Approach”
ID:31. Satchit Chatterji and Erman Acar. “Analyzing Probabilistic Logic Shields for Multi-Agent Reinforcement Learning”
- dissemination paper (already published elsewhere)