Marco Zullich

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Similarity Metrics

Pruning Methods

Top Venues

Knowl. Eng. Rev.

ICPRAM (Revised Selected Papers)

Publications

Matias Valdenegro-Toro, Ivo Pascal de Jong, Marco Zullich
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation. CoRR (2024)
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 (2023)
Marco Zullich, Giovanni Santacatterina
Assessing Fairness in Open-Source Face Mask Detection Algorithms. HHAI Workshops (2023)
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)
Giorgia Nadizar, Eric Medvet, Hola 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 (2022)
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 (2022)
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)
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)
Marco Zullich, Eric Medvet, Felice Andrea Pellegrino, Alessio Ansuini
Speeding-up pruning for Artificial Neural Networks: Introducing Accelerated Iterative Magnitude Pruning. ICPR (2020)
Alessio Ansuini, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich
On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks. ICPRAM (2020)
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)