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 | 25 | 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 | 21 | 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 | 18 | 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 | 11 | 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 | 8 | 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 |
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 HHAI Workshops, 74-95, 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 | | |