Marco Zullich

30 papers B 2C 3Journal 15Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
No Single Metric Tells the Whole Story: A Multi-Dimensional Evaluation Framework for Uncertainty Attributions.
CoRR
Emily Schiller, Teodor Chiaburu, Marco Zullich, Luca Longo
2025 — conf
A Study on the Faithfulness of Feature Attribution Explanations in Pruned Vision-Based Multi-Task Learning.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Xenia Demetriou, Sophie Sananikone, Vojislav Tobias Westmoreland, Matthia Sabatelli, Marco Zullich
2025 — conf
Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning.
VISIGRAPP (2): VISAPP
Eric Brouwer, Jan Erik van Woerden, Gertjan J. Burghouts, Matias Valdenegro-Toro, Marco Zullich
2025 C conf
Bridging Faithfulness of Explanations and Deep Reinforcement Learning: A Grad-CAM Analysis of Space Invaders.
FDG
Leendert Johannes Tanis, Rafael Fernandes Cunha, Marco Zullich
2025 — conf
Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
VISIGRAPP (3): VISAPP
Matias Valdenegro-Toro, Marco Zullich
2025 J jnl
Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
CoRR
Matias Valdenegro-Toro, Marco Zullich
2025 J jnl
Enhancing Tree Species Classification: Insights from YOLOv8 and Explainable AI Applied to TLS Point Cloud Projections.
CoRR
Adrian Straker, Paul Magdon, Marco Zullich, Maximilian Freudenberg, Christoph Kleinn, Johannes Breidenbach, Stefano Puliti, Nils Nölke
2025 J jnl
Explainable Artificial Intelligence techniques for interpretation of food datasets: a review.
CoRR
Leonardo Arrighi, Ingrid Alves de Moraes, Marco Zullich, Michele Simonato, Douglas Fernandes Barbin, Sylvio Barbon Junior
2025 C conf
Large-Image Object Detection for Fine-Grained Recognition of Punches Patterns in Medieval Panel Painting.
EvoMUSART
Josh Bruegger, Diana Ioana Catana, Vanja Macovaz, Matias Valdenegro-Toro, Matthia Sabatelli, Marco Zullich
2025 J jnl
Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting.
CoRR
Josh Bruegger, Diana Ioana Catana, Vanja Macovaz, Matias Valdenegro-Toro, Matthia Sabatelli, Marco Zullich
2025 J jnl
Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning.
CoRR
Aleksandar Todorov, Juan Cardenas-Cartagena, Rafael Fernandes Cunha, Marco Zullich, Matthia Sabatelli
2025 J jnl
Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning.
Trans. Mach. Learn. Res.
Aleksandar Todorov, Juan Cardenas-Cartagena, Rafael Fernandes Cunha, Marco Zullich, Matthia Sabatelli
2025 — conf
Uncertainty Estimation for Super-Resolution Using ESRGAN.
VISIGRAPP (2): VISAPP
Maniraj Sai Adapa, Marco Zullich, Matias Valdenegro-Toro
2025 J jnl
Uncertainty in Semantic Language Modeling with PIXELS.
CoRR
Stefania Radu, Marco Zullich, Matias Valdenegro-Toro
2025 — conf
Upside-Down Reinforcement Learning for More Interpretable Optimal Control.
ICAART (1)
Juan Cardenas-Cartagena, Massimiliano Falzari, Marco Zullich, Matthia Sabatelli
2024 J jnl
Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning.
CoRR
Eric Brouwer, Jan Erik van Woerden, Gertjan J. Burghouts, Matias Valdenegro-Toro, Marco Zullich
2024 B conf
Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks.
ESANN
Jasper Wilfling, Matias Valdenegro-Toro, Marco Zullich
2024 J jnl
Uncertainty Estimation for Super-Resolution using ESRGAN.
CoRR
Maniraj Sai Adapa, Marco Zullich, Matias Valdenegro-Toro
2024 J jnl
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation.
CoRR
Matias Valdenegro-Toro, Ivo Pascal de Jong, Marco Zullich
2024 J jnl
Upside-Down Reinforcement Learning for More Interpretable Optimal Control.
CoRR
Juan Cardenas-Cartagena, Massimiliano Falzari, Marco Zullich, Matthia Sabatelli
2023 J jnl
An Artificial Intelligence System for Automatic Recognition of Punches in Fourteenth-Century Panel Painting.
IEEE Access
Marco Zullich, Vanja Macovaz, Giovanni Pinna, Felice Andrea Pellegrino
2023 — conf
Assessing Fairness in Open-Source Face Mask Detection Algorithms.
HHAI Workshops
Marco Zullich, Giovanni Santacatterina
2023 — conf
Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly?
xAI (2)
Leonardo Arrighi, Sylvio Barbon Junior, Felice Andrea Pellegrino, Michele Simonato, Marco Zullich
2022 J jnl
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots - Corrigendum.
Knowl. Eng. Rev.
Giorgia Nadizar, Eric Medvet, Ola Huse Ramstad, Stefano Nichele, Felice Andrea Pellegrino, Marco Zullich
2022 J jnl
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots.
Knowl. Eng. Rev.
Giorgia Nadizar, Eric Medvet, Ola Huse Ramstad, Stefano Nichele, Felice Andrea Pellegrino, Marco Zullich
2022 — conf
YOLO-Based Face Mask Detection on Low-End Devices Using Pruning and Quantization.
MIPRO
Benedetta Liberatori, Ciro Antonio Mami, Giovanni Santacatterina, Marco Zullich, Felice Andrea Pellegrino
2021 — conf
On the effects of pruning on evolved neural controllers for soft robots.
GECCO Companion
Giorgia Nadizar, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich, Stefano Nichele
2020 — conf
Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning.
ICPRAM (Revised Selected Papers)
Alessio Ansuini, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich
2020 C conf
On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks.
ICPRAM
Alessio Ansuini, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich
2020 B conf
Speeding-up pruning for Artificial Neural Networks: Introducing Accelerated Iterative Magnitude Pruning.
ICPR
Marco Zullich, Eric Medvet, Felice Andrea Pellegrino, Alessio Ansuini