Francesco Ponzio

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Convolutional Neural Network

Colorectal Cancer

Top Venues

Publications

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)
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)
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 (2023)
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)
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 (2023)
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)
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) (2022)
Alessio Mascolini, Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
High Resolution Explanation Maps for CNNs using Segmentation Networks. VL/HCC (2022)
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 (2022)
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 (2021)
Valerio Mieuli, Francesco Ponzio, Alessio Mascolini, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
A Bayesian approach to Expert Gate Incremental Learning. IJCNN (2021)
Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality. CoRR (2021)
Francesco Ponzio, Giacomo Deodato, Enrico Macii, Santa Di Cataldo, Elisa Ficarra
Exploiting "Uncertain" Deep Networks for Data Cleaning in Digital Pathology. ISBI (2020)
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 (2019)
Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
Going Deeper into Colorectal Cancer Histopathology. BIOSTEC (Selected Papers) (2018)
Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
Colorectal Cancer Classification using Deep Convolutional Networks - An Experimental Study. BIOIMAGING (2018)
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)
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)