[go: up one dir, main page]

Follow
Marco Zullich
Marco Zullich
Assistant Professor, TU Delft
Verified email at tudelft.nl - Homepage
Title
Cited by
Cited by
Year
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots
G Nadizar, E Medvet, HH Ramstad, S Nichele, FA Pellegrino, M Zullich
The Knowledge Engineering Review 37, e3, 2022
292022
YOLO-Based Face Mask Detection on Low-End Devices Using Pruning and Quantization
B Liberatori, CA Mami, G Santacatterina, M Zullich, FA Pellegrino
2022 45th Jubilee International Convention on Information, Communication and …, 2022
282022
Speeding-up pruning for artificial neural networks: introducing accelerated iterative magnitude pruning
M Zullich, E Medvet, FA Pellegrino, A Ansuini
2020 25th International Conference on Pattern Recognition (ICPR), 3868-3875, 2021
262021
On the effects of pruning on evolved neural controllers for soft robots
G Nadizar, E Medvet, FA Pellegrino, M Zullich, S Nichele
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
212021
An artificial intelligence system for automatic recognition of punches in fourteenth-century panel painting
M Zullich, V Macovaz, G Pinna, FA Pellegrino
IEEE Access 11, 5864-5883, 2023
172023
Explainable Artificial Intelligence techniques for interpretation of food datasets: a review
L Arrighi, IA de Moraes, M Zullich, M Simonato, DF Barbin, SB Junior
arXiv preprint arXiv:2504.10527, 2025
152025
On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks
M Zullich, F Pellegrino, E Medvet, A Ansuini
International Conference on Pattern Recognition Applications and Methods, 52-59, 2020
132020
Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly?
L Arrighi, S Barbon Junior, FA Pellegrino, M Simonato, M Zullich
World Conference on Explainable Artificial Intelligence, 420-432, 2023
102023
Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning
A Ansuini, E Medvet, FA Pellegrino, M Zullich
International Conference on Pattern Recognition Applications and Methods, 87-111, 2020
62020
Uncertainty Estimation for Super-Resolution using ESRGAN
MS Adapa, M Zullich, M Valdenegro-Toro
arXiv preprint arXiv:2412.15439, 2024
22024
Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning
A Todorov, J Cardenas-Cartagena, RF Cunha, M Zullich, M Sabatelli
Transactions of Machine Learning Research (TMLR), 2025
12025
Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting
J Bruegger, DI Cătană, V Macovaz, M Valdenegro-Toro, M Sabatelli, ...
International Conference on Computational Intelligence in Music, Sound, Art …, 2025
12025
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation
M Valdenegro-Toro, IP de Jong, M Zullich
arXiv preprint arXiv:2406.18787, 2024
12024
Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks
J Wilfling, M Valdenegro-Toro, M Zullich
32nd European Symposium on Artificial Neural Networks, Computational …, 2024
12024
Enhancing Tree Species Classification: Insights from YOLOv8 and Explainable AI Applied to TLS Point Cloud Projections
A Straker, P Magdon, M Zullich, M Freudenberg, C Kleinn, J Breidenbach, ...
arXiv preprint arXiv:2512.16950, 2025
2025
Uncertainty in Semantic Language Modeling with PIXELS
S Radu, M Zullich, M Valdenegro-Toro
Proceedings of the 2nd Workshop on Uncertainty-Aware NLP (UncertaiNLP 2025 …, 2025
2025
Bridging Faithfulness of Explanations and Deep Reinforcement Learning: A Grad-CAM Analysis of Space Invaders
LJ Tanis, R Fernandes Cunha, M Zullich
Proceedings of the 20th International Conference on the Foundations of …, 2025
2025
Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
M Valdenegro-Toro, M Zullich
arXiv preprint arXiv:2501.08285, 2025
2025
A Study on the Faithfulness of Feature Attribution Explanations in Pruned Vision-Based Multi-Task Learning
X Demetriou, S Sananikone, VT Westmoreland, M Sabatelli, M Zullich
Joint of the xAI 2025 Late-Breaking Work, Demos and Doctoral Consortium, LB …, 2025
2025
Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning
E Brouwer, JE van Woerden, G Burghouts, M Valdenegro-Toro, M Zullich
arXiv preprint arXiv:2412.14640, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–20