Francesco Ponzio

According to our database, Francesco Ponzio authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring.

Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Franco Fummi, Santa Di Cataldo, Sara Vinco

Proceedings of the IEEE International Conference on Industrial Technology, 2024

Physics-Informed Neural Networks: A Step Towards Data-Driven Optimization of Additive Manufacturing.

Fabio Depaoli, Stefano Felicioni, Francesco Ponzio, Alessandro Aliberti, Enrico Macii, Federica Bondioli, Elisa Padovano, Santa Di Cataldo

Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

An AI-Enabled Framework for Smart Semiconductor Manufacturing.

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

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge.

Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality.

Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo

Expert Syst. Appl., 2023

Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0.

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

CoRR, 2023

Robotic Arm Dataset (RoAD): A Dataset to Support the Design and Test of Machine Learning-Driven Anomaly Detection in a Production Line.

Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper.

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

Proceedings of the Forum on Specification & Design Languages, 2023

2022

Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations.

Alessio Mascolini, Dario Cardamone, Francesco Ponzio, Santa Di Cataldo, Elisa Ficarra

BMC Bioinform., 2022

e-Pupil: IoT-Based Augmentative and Alternative Communication Device Exploiting the Pupillary Near-Reflex.

Giovanni Chiarion, Francesco Ponzio, Stefano Terna, Cristina Moglia, Edoardo Patti, Santa Di Cataldo, Silvestro Roatta

IEEE Access, 2022

High Resolution Explanation Maps for CNNs using Segmentation Networks.

Alessio Mascolini, Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo

Proceedings of the 2022 IEEE Symposium on Visual Languages and Human-Centric Computing, 2022

2021

Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study.

Alessio Mascolini, Dario Cardamone, Francesco Ponzio, Santa Di Cataldo, Elisa Ficarra

CoRR, 2021

A Bayesian approach to Expert Gate Incremental Learning.

Valerio Mieuli, Francesco Ponzio, Alessio Mascolini, Enrico Macii, Elisa Ficarra, Santa Di Cataldo

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Exploiting "Uncertain" Deep Networks for Data Cleaning in Digital Pathology.

Francesco Ponzio, Giacomo Deodato, Enrico Macii, Santa Di Cataldo, Elisa Ficarra

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

A human-computer interface based on the "voluntary" pupil accommodative response.

Francesco Ponzio, Andres Eduardo Lorenzo Villalobos, Luca Mesin, Claudio de'Sperati, Silvestro Roatta

Int. J. Hum. Comput. Stud., 2019

2018

Going Deeper into Colorectal Cancer Histopathology.

Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo

Proceedings of the Biomedical Engineering Systems and Technologies, 2018

Colorectal Cancer Classification using Deep Convolutional Networks - An Experimental Study.

Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017

A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images.

Alessio Mascolini, S. Puzzo, G. Incatasciato, Francesco Ponzio, Elisa Ficarra, Santa Di Cataldo

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

A Multi-modal Brain Image Registration Framework for US-guided Neuronavigation Systems - Integrating MR and US for Minimally Invasive Neuroimaging.

Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017