Alessio Mascolini

11 papers A* 1A 1B 2C 2Journal 4Unranked 1
YearRankTypeTitle / Venue / Authors
2024 A conf
An AI-Enabled Framework for Smart Semiconductor Manufacturing.
DATE
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
2024 A* conf
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge.
DAC
Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi
2024 J jnl
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge.
CoRR
Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi
2023 C conf
Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper.
FDL
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
2023 J jnl
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0.
CoRR
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
2023 C conf
Robotic Arm Dataset (RoAD): A Dataset to Support the Design and Test of Machine Learning-Driven Anomaly Detection in a Production Line.
IECON
Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi
2022 J jnl
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations.
BMC Bioinform.
Alessio Mascolini, Dario Cardamone, Francesco Ponzio, Santa Di Cataldo, Elisa Ficarra
2022 B conf
High Resolution Explanation Maps for CNNs using Segmentation Networks.
VL/HCC
Alessio Mascolini, Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
2021 B conf
A Bayesian approach to Expert Gate Incremental Learning.
IJCNN
Valerio Mieuli, Francesco Ponzio, Alessio Mascolini, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
2021 J jnl
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study.
CoRR
Alessio Mascolini, Dario Cardamone, Francesco Ponzio, Santa Di Cataldo, Elisa Ficarra
2017 — conf
A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images.
IIH-MSP (1)
Alessio Mascolini, S. Puzzo, G. Incatasciato, Francesco Ponzio, Elisa Ficarra, Santa Di Cataldo