| 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 | 26 | 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 | 23 | 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 | 20 | 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 | 19 | 2021 |
| 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 | 12 | 2020 |
| 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 | 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 | 5 | 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 | 4 | 2023 |
| Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting J Bruegger, DI Catana, V Macovaz, M Valdenegro-Toro, M Sabatelli, ... arXiv preprint arXiv:2501.12489, 2025 | | 2025 |
| Can Bayesian Neural Networks Explicitly Model Input Uncertainty? M Valdenegro-Toro, M Zullich arXiv preprint arXiv:2501.08285, 2025 | | 2025 |
| Uncertainty Estimation for Super-Resolution using ESRGAN MS Adapa, M Zullich, M Valdenegro-Toro arXiv preprint arXiv:2412.15439, 2024 | | 2024 |
| Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning E Brouwer, JE van Woerden, G Burghouts, M Valedenegro-Toro, ... arXiv preprint arXiv:2412.14640, 2024 | | 2024 |
| Uncertainty Estimation for Super-Resolution using ESRGAN M Sai Adapa, M Zullich, M Valdenegro-Toro arXiv e-prints, arXiv: 2412.15439, 2024 | | 2024 |
| Upside-Down Reinforcement Learning for More Interpretable Optimal Control J Cardenas-Cartagena, M Falzari, M Zullich, M Sabatelli arXiv preprint arXiv:2411.11457, 2024 | | 2024 |
| 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 | | 2024 |
| Assessing Fairness in Open-Source Face Mask Detection Algorithms M Zullich, G Santacatterina Workshops at the 2nd International Conference on Hybrid Human-Artificial …, 2023 | | 2023 |
| Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks J Wilfling, M Valdenegro-Toro, M Zullich | | |
| An Analysis of Pruning in Deep Neural Networks: Experimental Investigations and Applications M Zullich | | |