| Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots G Nadizar, E Medvet, HH Ramstad, S Nichele, FA Pellegrino, M Zullich The Knowledge Engineering Review 37, e3, 2022 | 29 | 2022 |
| YOLO-Based Face Mask Detection on Low-End Devices Using Pruning and Quantization B Liberatori, CA Mami, G Santacatterina, M Zullich, FA Pellegrino 2022 45th Jubilee International Convention on Information, Communication and …, 2022 | 28 | 2022 |
| Speeding-up pruning for artificial neural networks: introducing accelerated iterative magnitude pruning M Zullich, E Medvet, FA Pellegrino, A Ansuini 2020 25th International Conference on Pattern Recognition (ICPR), 3868-3875, 2021 | 26 | 2021 |
| On the effects of pruning on evolved neural controllers for soft robots G Nadizar, E Medvet, FA Pellegrino, M Zullich, S Nichele Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 21 | 2021 |
| An artificial intelligence system for automatic recognition of punches in fourteenth-century panel painting M Zullich, V Macovaz, G Pinna, FA Pellegrino IEEE Access 11, 5864-5883, 2023 | 17 | 2023 |
| Explainable Artificial Intelligence techniques for interpretation of food datasets: a review L Arrighi, IA de Moraes, M Zullich, M Simonato, DF Barbin, SB Junior arXiv preprint arXiv:2504.10527, 2025 | 15 | 2025 |
| On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks M Zullich, F Pellegrino, E Medvet, A Ansuini International Conference on Pattern Recognition Applications and Methods, 52-59, 2020 | 13 | 2020 |
| Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly? L Arrighi, S Barbon Junior, FA Pellegrino, M Simonato, M Zullich World Conference on Explainable Artificial Intelligence, 420-432, 2023 | 10 | 2023 |
| Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning A Ansuini, E Medvet, FA Pellegrino, M Zullich International Conference on Pattern Recognition Applications and Methods, 87-111, 2020 | 6 | 2020 |
| Uncertainty Estimation for Super-Resolution using ESRGAN MS Adapa, M Zullich, M Valdenegro-Toro arXiv preprint arXiv:2412.15439, 2024 | 2 | 2024 |
| Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning A Todorov, J Cardenas-Cartagena, RF Cunha, M Zullich, M Sabatelli Transactions of Machine Learning Research (TMLR), 2025 | 1 | 2025 |
| Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting J Bruegger, DI Cătană, V Macovaz, M Valdenegro-Toro, M Sabatelli, ... International Conference on Computational Intelligence in Music, Sound, Art …, 2025 | 1 | 2025 |
| Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation M Valdenegro-Toro, IP de Jong, M Zullich arXiv preprint arXiv:2406.18787, 2024 | 1 | 2024 |
| Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks J Wilfling, M Valdenegro-Toro, M Zullich 32nd European Symposium on Artificial Neural Networks, Computational …, 2024 | 1 | 2024 |
| Enhancing Tree Species Classification: Insights from YOLOv8 and Explainable AI Applied to TLS Point Cloud Projections A Straker, P Magdon, M Zullich, M Freudenberg, C Kleinn, J Breidenbach, ... arXiv preprint arXiv:2512.16950, 2025 | | 2025 |
| Uncertainty in Semantic Language Modeling with PIXELS S Radu, M Zullich, M Valdenegro-Toro Proceedings of the 2nd Workshop on Uncertainty-Aware NLP (UncertaiNLP 2025 …, 2025 | | 2025 |
| Bridging Faithfulness of Explanations and Deep Reinforcement Learning: A Grad-CAM Analysis of Space Invaders LJ Tanis, R Fernandes Cunha, M Zullich Proceedings of the 20th International Conference on the Foundations of …, 2025 | | 2025 |
| Can Bayesian Neural Networks Explicitly Model Input Uncertainty? M Valdenegro-Toro, M Zullich arXiv preprint arXiv:2501.08285, 2025 | | 2025 |
| A Study on the Faithfulness of Feature Attribution Explanations in Pruned Vision-Based Multi-Task Learning X Demetriou, S Sananikone, VT Westmoreland, M Sabatelli, M Zullich Joint of the xAI 2025 Late-Breaking Work, Demos and Doctoral Consortium, LB …, 2025 | | 2025 |
| Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning E Brouwer, JE van Woerden, G Burghouts, M Valdenegro-Toro, M Zullich arXiv preprint arXiv:2412.14640, 2024 | | 2024 |