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M. (Matthia) Sabatelli, PhD

Assistant Professor

Profielfoto van M. (Matthia) Sabatelli, PhD

Faculteit Science and Engineering

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m.sabatelli rug.nl

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Publicaties

Cross-Lingual Document Recommendations with Transformer-Based Representations: Evaluating Multilingual Models and Mapping Techniques

Tashu, T. M., Kontos, E. R., Sabatelli, M. & Valdenegro-Toro, M., 2025, COLING 2025 - SUMEval 2025: 2nd Workshop on Scaling Up Multilingual and Multi-Cultural Evaluation, Proceedings of the Workshop. ACL, blz. 39-47 9 blz.

Onderzoeksoutput: Conference contribution › › peer review

Interpretable Function Approximation with Gaussian Processes in Value-Based Model-Free Reinforcement Learning

van der Lende, M., Sabatelli, M. & Cardenas-Cartagena, J., 2025, Proceedings of the Northern Lights Deep Learning Workshop 2025. ML Research Press, blz. 141-154 14 blz. (Proceedings of Machine Learning Research; vol. 265).

Onderzoeksoutput: Conference contribution › › peer review

Large-Image Object Detection for Fine-Grained Recognition of Punches Patterns in Medieval Panel Painting

Bruegger, J., Cătană, D. I., Macovaz, V., Valdenegro-Toro, M., Sabatelli, M. & Zullich, M., 2025, Artificial Intelligence in Music, Sound, Art and Design - 14th International Conference, EvoMUSART 2025, Held as Part of EvoStar 2025, Proceedings. Machado, P., Johnson, C. & Santos, I. (uitgave). Springer Science and Business Media Deutschland GmbH, blz. 34-50 17 blz. (Lecture Notes in Computer Science; vol. 15611 LNCS).

Onderzoeksoutput: Conference contribution › › peer review

Optimizing Initial Qubit Mappings Under Fixed Gate Error Rates Using Deep Reinforcement Learning

Oancea, R. A., van der Linde, S., de Kok, W., Sabatelli, M. & Feld, S., 2-jun.-2025, Innovations for Community Services - 25th International Conference, I4CS 2025, Proceedings. Zielinski, S., Eichler, G., Erfurth, C. & Fahrnberger, G. (uitgave). Springer Science and Business Media Deutschland GmbH, blz. 189-208 20 blz. (Communications in Computer and Information Science; vol. 2513 CCIS).

Onderzoeksoutput: Conference contribution › › peer review

Upside-Down Reinforcement Learning for More Interpretable Optimal Control

Cardenas-Cartagena, J., Falzari, M., Zullich, M. & Sabatelli, M., 2025, 17th International Conference on Agents and Artificial Intelligence. SciTePress, blz. 859-869 11 blz. (International Conference on Agents and Artificial Intelligence; vol. 1).

Onderzoeksoutput: Conference contribution › › peer review

Contextual Online Imitation Learning (COIL: Using Guide Policies in Reinforcement Learning

Hill, A., Groefsema, M., Sabatelli, M., Carloni, R. & Grzegorczyk, M., feb.-2024, 16th International Conference on Agents and Artificial Intelligence. SciTePress, blz. 178-185 8 blz.

Onderzoeksoutput: Conference contribution › › peer review

Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation

Tashu, T. M., Kontos, E.-R., Sabatelli, M. & Valdenegro-Toro, M., 12-jan.-2024, (Submitted) arXiv, 12 blz.

Onderzoeksoutput: Voordruk ›

Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling

Müller, A., Grumbach, F. & Sabatelli, M., 16-okt.-2024, 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024. Facchinetti, T., Cenedese, A., Bello, L. L., Vitturi, S., Sauter, T. & Tramarin, F. (uitgave). IEEE, 8 blz. (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA).

Onderzoeksoutput: Conference contribution › › peer review

How Well Do Vision Transformers (VTs) Transfer to the Non-natural Image Domain? An Empirical Study Involving Art Classification

Tonkes, V. & Sabatelli, M., 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (uitgave). Springer, blz. 234-250 17 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13801 LNCS).

Onderzoeksoutput: Conference contribution › › peer review

Machine Learning Students Overfit to Overfitting

Valdenegro-Toro, M. & Sabatelli, M., 7-sep.-2022, (Submitted) arXiv, 6 blz.

Onderzoeksoutput: Voordruk ›

Alle (11) publicaties

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