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PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks


Oct 17, 2022
Enrico Meloni, Lapo Faggi, Simone Marullo, Alessandro Betti, Matteo Tiezzi, Marco Gori, Stefano Melacci

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* 9 pages, accepted at International Conference on Machine Learning and Applications 

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Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors


Aug 08, 2022
Andrea Panizza, Szymon Tomasz Stefanek, Stefano Melacci, Giacomo Veneri, Marco Gori

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* Workshop on machine learning for engineering modeling, simulation and design @ NeurIPS 2020 

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Deep Learning to See: Towards New Foundations of Computer Vision


Jun 30, 2022
Alessandro Betti, Marco Gori, Stefano Melacci

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Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks


Dec 18, 2021
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci

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Knowledge-driven Active Learning


Oct 15, 2021
Gabriele Ciravegna, Frederic Precioso, Marco Gori

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* Submitted to the ICLR 2022 conference 

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Logic Constraints to Feature Importances


Oct 13, 2021
Nicola Picchiotti, Marco Gori

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Clustering-Based Interpretation of Deep ReLU Network


Oct 13, 2021
Nicola Picchiotti, Marco Gori

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Can machines learn to see without visual databases?


Oct 12, 2021
Alessandro Betti, Marco Gori, Stefano Melacci, Marcello Pelillo, Fabio Roli

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Graph Neural Networks for Graph Drawing


Sep 21, 2021
Matteo Tiezzi, Gabriele Ciravegna, Marco Gori

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* Preprint, Under Review 

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Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects


Sep 17, 2021
Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci

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* 8 pages, 7 figures, accepted for publication at the IEEE International Conference on Machine Learning and Applications (ICMLA) 2021 

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