Publications
April 21, 2022
2025
- Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting. Josh Bruegger, Diana Catana, Vanja Macovaz, Matias Valdenegro-Toro, Matthia Sabatelli, and Marco Zullich. EvoMUSART 2025.
- Can Bayesian Neural Networks Explicitly Model Input Uncertainty?. Matias Valdenegro-Toro and Marco Zullich. VisApp 2025
- Uncertainty Estimation for Super-Resolution using ESRGAN. Maniraj Sai Adapa, Marco Zullich, and Matias Valdenegro-Toro. VisApp 2025
- Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning. Eric Brouwer, Jan Erik van Woerden, Gertjan Burghouts, Matias Valdenegro-Toro, and Marco Zullich. VisApp 2025
- Upside-Down Reinforcement Learning for More Interpretable Optimal Control. Juan Cardenas-Cartagena, Massimiliano Falzari, Marco Zullich and Matthia Sabatelli. ICAART 2025
2024
- Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks. Jasper Wilfling, Matias Valdenegro-Toro, and Marco Zullich. ESANN 2024.
- Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation. Matias Valdenegro-Toro, Ivo Pascal de Jong, and Marco Zullich. LatinXAI @ ICML 2024.
2023
- Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly?. Leonardo Arrighi, Sylvio Barbon Jr., Felice Andrea Pellegrino, and Marco Zullich. 1st XAI World conference (2023).
- Assessing Fairness in Face Mask Detection. Marco Zullich and Giovanni Santacatterina. RHI@HHAI2023.
- Ph.D. thesis: An Analysis of Pruning in Deep Neural Networks: Experimental Investigations and Applications. Marco Zullich.
- An Artificial Intelligence System for Automatic Recognition of Punches in Fourteenth-Century Panel Painting. Marco Zullich, Vanja Macovaz, Giovanni Pinna, and Felice Andrea Pellegrino. IEEE Access.
2022
- YOLO-based Face Mask Detection on Low-End Devices Using Pruning and Quantization. Benedetta Liberatori, Ciro Antonio Mami, Giovanni Santacatterina, Marco Zullich, and Felice Andrea Pellegrino. MIPRO 2022.
- Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots. Giorgia Nadizar, Eric Medvet, Ola Huse Ramstad, Stefano Nichele, Felice Andrea Pellegrino, and Marco Zullich. The Knowledge Engineering Review, 37.
2021
- On the effects of pruning on evolved nueral controllers for soft robots. Giorgia Nadizar, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich, and Stefano Nichele. GECCO 2021.
- Speeding-up pruning for artificial neural networks: introducing accelerated iterative magnitude pruning. Marco Zullich, Eric Medvet, Felice Andrea Pellegrino, and Alessio Ansuini. ICPR 2020.
2020
- Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning. Alessio Ansuini, Eric Medvet, Felice Andrea Pellegrino, and Marco Zullich. ICPRAM 2020.
- On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks. Alessio Ansuini, Eric Medvet, Felice Andrea Pellegrino, and Marco Zullich. ICPRAM 2020.