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ORCIDAlessio Mascolini
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2020 – today
- 2024
[c7]Alessio Mascolini
, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi:
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge. DAC 2024: 235:1-235:6- [c6]Khaled Sidahmed Sidahmed Alamin, Davide Appello, Alessandro Beghi, Nicola Dall'Ora, Fabio Depaoli, Santa Di Cataldo, Franco Fummi, Sebastiano Gaiardelli, Michele Lora, Enrico Macii, Alessio Mascolini, Daniele Pagano, Francesco Ponzio, Gian Antonio Susto, Sara Vinco:
An AI-Enabled Framework for Smart Semiconductor Manufacturing. DATE 2024: 1-6 - [i3]Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi:
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge. CoRR abs/2409.14816 (2024) - 2023
- [c5]Luigi Capogrosso, Alessio Mascolini, Federico Girella, Geri Skenderi, Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Santa Di Cataldo, Sara Vinco, Enrico Macii, Franco Fummi, Marco Cristani:
Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper. FDL 2023: 1-4 - [c4]Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi:
Robotic Arm Dataset (RoAD): A Dataset to Support the Design and Test of Machine Learning-Driven Anomaly Detection in a Production Line. IECON 2023: 1-7 - [i2]Luigi Capogrosso, Alessio Mascolini, Federico Girella, Geri Skenderi, Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Santa Di Cataldo, Sara Vinco, Enrico Macii, Franco Fummi, Marco Cristani:
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0. CoRR abs/2307.06975 (2023) - 2022
- [j1]Alessio Mascolini, Dario Cardamone, Francesco Ponzio, Santa Di Cataldo, Elisa Ficarra:
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations. BMC Bioinform. 23(1): 295 (2022) - [c3]Alessio Mascolini, Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
High Resolution Explanation Maps for CNNs using Segmentation Networks. VL/HCC 2022: 1-3 - 2021
- [c2]Valerio Mieuli, Francesco Ponzio, Alessio Mascolini, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
A Bayesian approach to Expert Gate Incremental Learning. IJCNN 2021: 1-7 - [i1]Alessio Mascolini, Dario Cardamone, Francesco Ponzio, Santa Di Cataldo, Elisa Ficarra:
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study. CoRR abs/2107.07761 (2021)
2010 – 2019
- 2017
- [c1]Alessio Mascolini, S. Puzzo, G. Incatasciato, Francesco Ponzio, Elisa Ficarra, Santa Di Cataldo:
A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images. IIH-MSP (1) 2017: 125-136
Coauthor Index
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