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2020 – today
- 2024
[c13]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- [c12]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 - [c11]Fabio Depaoli, Stefano Felicioni, Francesco Ponzio, Alessandro Aliberti, Enrico Macii, Federica Bondioli, Elisa Padovano, Santa Di Cataldo:
Physics-Informed Neural Networks: A Step Towards Data-Driven Optimization of Additive Manufacturing. ETFA 2024: 1-4 - [c10]Sebastiano Gaiardelli, Nicola Dall'Ora
, Francesco Ponzio, Enrico Fraccaroli, Franco Fummi, Santa Di Cataldo, Sara Vinco:
A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring. ICIT 2024: 1-8 - [i4]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
- [j4]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality. Expert Syst. Appl. 214: 119121 (2023) - [c9]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 - [c8]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 - [i3]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
- [j3]Giovanni Chiarion, Francesco Ponzio, Stefano Terna, Cristina Moglia, Edoardo Patti, Santa Di Cataldo, Silvestro Roatta:
e-Pupil: IoT-Based Augmentative and Alternative Communication Device Exploiting the Pupillary Near-Reflex. IEEE Access 10: 130078-130088 (2022) - [j2]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) - [c7]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
- [c6]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 - [i2]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality. CoRR abs/2103.13107 (2021) - [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) - 2020
- [c5]Francesco Ponzio, Giacomo Deodato, Enrico Macii, Santa Di Cataldo, Elisa Ficarra:
Exploiting "Uncertain" Deep Networks for Data Cleaning in Digital Pathology. ISBI 2020: 1139-1143
2010 – 2019
- 2019
- [j1]Francesco Ponzio, Andres Eduardo Lorenzo Villalobos, Luca Mesin, Claudio de'Sperati, Silvestro Roatta:
A human-computer interface based on the "voluntary" pupil accommodative response. Int. J. Hum. Comput. Stud. 126: 53-63 (2019) - 2018
- [c4]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
Colorectal Cancer Classification using Deep Convolutional Networks - An Experimental Study. BIOIMAGING 2018: 58-66 - [c3]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
Going Deeper into Colorectal Cancer Histopathology. BIOSTEC (Selected Papers) 2018: 114-131 - 2017
- [c2]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
A Multi-modal Brain Image Registration Framework for US-guided Neuronavigation Systems - Integrating MR and US for Minimally Invasive Neuroimaging. BIOIMAGING 2017: 114-121 - [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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last updated on 2024-11-13 23:46 CET by the dblp team
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