Marco Zullich

According to our database, Marco Zullich authored at least 20 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Explainable Artificial Intelligence techniques for interpretation of food datasets: a review.

Leonardo Arrighi, Ingrid Alves de Moraes, Marco Zullich, Michele Simonato, Douglas Fernandes Barbin, Sylvio Barbon Junior

CoRR, April, 2025

Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning.

Aleksandar Todorov, Juan Cardenas-Cartagena, Rafael Fernandes Cunha, Marco Zullich, Matthia Sabatelli

Trans. Mach. Learn. Res., 2025

Can Bayesian Neural Networks Explicitly Model Input Uncertainty?

Matias Valdenegro-Toro, Marco Zullich

Proceedings of the 20th International Joint Conference on Computer Vision, 2025

Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning.

Eric Brouwer, Jan Erik van Woerden, Gertjan J. Burghouts, Matias Valdenegro-Toro, Marco Zullich

Proceedings of the 20th International Joint Conference on Computer Vision, 2025

Uncertainty Estimation for Super-Resolution Using ESRGAN.

Maniraj Sai Adapa, Marco Zullich, Matias Valdenegro-Toro

Proceedings of the 20th International Joint Conference on Computer Vision, 2025

Upside-Down Reinforcement Learning for More Interpretable Optimal Control.

Juan Cardenas-Cartagena, Massimiliano Falzari, Marco Zullich, Matthia Sabatelli

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

Bridging Faithfulness of Explanations and Deep Reinforcement Learning: A Grad-CAM Analysis of Space Invaders.

Leendert Johannes Tanis, Rafael Fernandes Cunha, Marco Zullich

Proceedings of the 20th International Conference on the Foundations of Digital Games, 2025

Large-Image Object Detection for Fine-Grained Recognition of Punches Patterns in Medieval Panel Painting.

Josh Bruegger, Diana Ioana Catana, Vanja Macovaz, Matias Valdenegro-Toro, Matthia Sabatelli, Marco Zullich

Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2025

2024

Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation.

Matias Valdenegro-Toro, Ivo Pascal de Jong, Marco Zullich

CoRR, 2024

Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks.

Jasper Wilfling, Matias Valdenegro-Toro, Marco Zullich

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023

An Artificial Intelligence System for Automatic Recognition of Punches in Fourteenth-Century Panel Painting.

Marco Zullich, Vanja Macovaz, Giovanni Pinna, Felice Andrea Pellegrino

IEEE Access, 2023

Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly?

Leonardo Arrighi, Sylvio Barbon Junior, Felice Andrea Pellegrino, Michele Simonato, Marco Zullich

Proceedings of the Explainable Artificial Intelligence, 2023

Assessing Fairness in Open-Source Face Mask Detection Algorithms.

Marco Zullich, Giovanni Santacatterina

Proceedings of the Workshops at the Second International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2023), 2023

2022

Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots - Corrigendum.

Giorgia Nadizar, Eric Medvet, Ola Huse Ramstad, Stefano Nichele, Felice Andrea Pellegrino, Marco Zullich

Knowl. Eng. Rev., 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, Marco Zullich

Knowl. Eng. Rev., 2022

YOLO-Based Face Mask Detection on Low-End Devices Using Pruning and Quantization.

Benedetta Liberatori, Ciro Antonio Mami, Giovanni Santacatterina, Marco Zullich, Felice Andrea Pellegrino

Proceedings of the 45th Jubilee International Convention on Information, 2022

2021

On the effects of pruning on evolved neural controllers for soft robots.

Giorgia Nadizar, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich, Stefano Nichele

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning.

Alessio Ansuini, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich

Proceedings of the Pattern Recognition Applications and Methods, 2020

On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks.

Alessio Ansuini, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Speeding-up pruning for Artificial Neural Networks: Introducing Accelerated Iterative Magnitude Pruning.

Marco Zullich, Eric Medvet, Felice Andrea Pellegrino, Alessio Ansuini

Proceedings of the 25th International Conference on Pattern Recognition, 2020