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2020 – today
- 2024
[i1]Matias Valdenegro-Toro, Ivo Pascal de Jong, Marco Zullich:
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation. CoRR abs/2406.18787 (2024)- 2023
- [j3]Marco Zullich
, Vanja Macovaz, Giovanni Pinna, Felice Andrea Pellegrino:
An Artificial Intelligence System for Automatic Recognition of Punches in Fourteenth-Century Panel Painting. IEEE Access 11: 5864-5883 (2023) - [c7]Marco Zullich, Giovanni Santacatterina:
Assessing Fairness in Open-Source Face Mask Detection Algorithms. HHAI Workshops 2023: 74-95 - [c6]Leonardo Arrighi, Sylvio Barbon Junior, Felice Andrea Pellegrino, Michele Simonato, Marco Zullich:
Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly? xAI (2) 2023: 420-432 - 2022
- [j2]Giorgia Nadizar, Eric Medvet, Ola Huse Ramstad, Stefano Nichele, Felice Andrea Pellegrino, Marco Zullich:
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots. Knowl. Eng. Rev. 37: e3 (2022) - [j1]Giorgia Nadizar, Eric Medvet, Ola Huse Ramstad, Stefano Nichele, Felice Andrea Pellegrino, Marco Zullich:
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots - Corrigendum. Knowl. Eng. Rev. 37: e4 (2022) - [c5]Benedetta Liberatori, Ciro Antonio Mami, Giovanni Santacatterina, Marco Zullich, Felice Andrea Pellegrino:
YOLO-Based Face Mask Detection on Low-End Devices Using Pruning and Quantization. MIPRO 2022: 900-905 - 2021
- [c4]Giorgia Nadizar, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich, Stefano Nichele:
On the effects of pruning on evolved neural controllers for soft robots. GECCO Companion 2021: 1744-1752 - 2020
- [c3]Marco Zullich, Eric Medvet, Felice Andrea Pellegrino, Alessio Ansuini:
Speeding-up pruning for Artificial Neural Networks: Introducing Accelerated Iterative Magnitude Pruning. ICPR 2020: 3868-3875 - [c2]Alessio Ansuini, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich:
On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks. ICPRAM 2020: 52-59 - [c1]Alessio Ansuini, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich:
Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning. ICPRAM (Revised Selected Papers) 2020: 87-111
Coauthor Index
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