Marco Zullich

Orcid: 0000-0002-9920-9095

According to our database1, Marco Zullich authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation.
CoRR, 2024

2023
An Artificial Intelligence System for Automatic Recognition of Punches in Fourteenth-Century Panel Painting.
IEEE Access, 2023

Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly?
Proceedings of the Explainable Artificial Intelligence, 2023

Assessing Fairness in Open-Source Face Mask Detection Algorithms.
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.
Knowl. Eng. Rev., 2022

Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots.
Knowl. Eng. Rev., 2022

YOLO-Based Face Mask Detection on Low-End Devices Using Pruning and Quantization.
Proceedings of the 45th Jubilee International Convention on Information, 2022

2021
On the effects of pruning on evolved neural controllers for soft robots.
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.
Proceedings of the Pattern Recognition Applications and Methods, 2020

On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks.
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.
Proceedings of the 25th International Conference on Pattern Recognition, 2020


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