| 2025 | EvoMUSART | 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 |
| 2025 | FDG | Bridging Faithfulness of Explanations and Deep Reinforcement Learning: A Grad-CAM Analysis of Space Invaders. | Leendert Johannes Tanis, Rafael Fernandes Cunha, Marco Zullich |
| 2025 | ICAART | Upside-Down Reinforcement Learning for More Interpretable Optimal Control. | Juan Cardenas-Cartagena, Massimiliano Falzari, Marco Zullich, Matthia Sabatelli |
| 2025 | VISIGRAPP | Uncertainty Estimation for Super-Resolution Using ESRGAN. | Maniraj Sai Adapa, Marco Zullich, Matias Valdenegro-Toro |
| 2025 | VISIGRAPP | 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 |
| 2025 | VISIGRAPP | Can Bayesian Neural Networks Explicitly Model Input Uncertainty? | Matias Valdenegro-Toro, Marco Zullich |
| 2024 | ESANN | Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks. | Jasper Wilfling, Matias Valdenegro-Toro, Marco Zullich |
| 2021 | GECCO | On the effects of pruning on evolved neural controllers for soft robots. | Giorgia Nadizar, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich, Stefano Nichele |
| 2020 | ICPR | Speeding-up pruning for Artificial Neural Networks: Introducing Accelerated Iterative Magnitude Pruning. | Marco Zullich, Eric Medvet, Felice Andrea Pellegrino, Alessio Ansuini |
| 2020 | ICPRAM | On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks. | Alessio Ansuini, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich |
| 2020 | ICPRAM | Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning. | Alessio Ansuini, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich |