Francesco Ponzio

27 papers A* 1A 1B 2C 4Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mode-Dependent Rectification for Stable PPO Training.
CoRR
Mohamad Mohamad, Francesco Ponzio, Xavier Descombes
2026 J jnl
Renal Cell Carcinoma subtyping: Learning from multi-resolution localization.
Comput. Methods Programs Biomed.
Mohamad Mohamad, Francesco Ponzio, Santa Di Cataldo, Damien Ambrosetti, Xavier Descombes
2025 C conf
Inspecting Defects of EB-PBF Components with Active Thermography and Deep Learning: A Feasibility Study.
ETFA
Seyed Mohammad Mehdi Hosseini, Fabio Depaoli, Francesco Ponzio, Simone De Giorgi, Giovanni Rizza, Emanuele Tognoli, Giulia Colombini, Manuela Galati, Santa Di Cataldo
2025 — conf
Investigating Reinforcement Learning for Histopathological Image Analysis.
BIOSTEC (1)
Mohamad Mohamad, Francesco Ponzio, Maxime Gassier, Nicolas Poté, Damien Ambrosetti, Xavier Descombes
2025 J jnl
Machine learning-enabled real-time anomaly detection for electron beam powder bed fusion additive manufacturing.
J. Intell. Manuf.
Davide Cannizzaro, Paolo Antonioni, Francesco Ponzio, Manuela Galati, Edoardo Patti, Santa Di Cataldo
2024 — conf
A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring.
ICIT
Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Franco Fummi, Santa Di Cataldo, Sara Vinco
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 C conf
Physics-Informed Neural Networks: A Step Towards Data-Driven Optimization of Additive Manufacturing.
ETFA
Fabio Depaoli, Stefano Felicioni, Francesco Ponzio, Alessandro Aliberti, Enrico Macii, Federica Bondioli, Elisa Padovano, Santa Di Cataldo
2024 J jnl
Renal Cell Carcinoma subtyping: learning from multi-resolution localization.
CoRR
Mohamad Mohamad, Francesco Ponzio, Santa Di Cataldo, Damien Ambrosetti, Xavier Descombes
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
2023 J jnl
W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality.
Expert Syst. Appl.
Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
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
2022 J jnl
e-Pupil: IoT-Based Augmentative and Alternative Communication Device Exploiting the Pupillary Near-Reflex.
IEEE Access
Giovanni Chiarion, Francesco Ponzio, Stefano Terna, Cristina Moglia, Edoardo Patti, Santa Di Cataldo, Silvestro Roatta
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
2021 J jnl
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality.
CoRR
Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
2020 — conf
Exploiting "Uncertain" Deep Networks for Data Cleaning in Digital Pathology.
ISBI
Francesco Ponzio, Giacomo Deodato, Enrico Macii, Santa Di Cataldo, Elisa Ficarra
2019 J jnl
A human-computer interface based on the "voluntary" pupil accommodative response.
Int. J. Hum. Comput. Stud.
Francesco Ponzio, Andres Eduardo Lorenzo Villalobos, Luca Mesin, Claudio de'Sperati, Silvestro Roatta
2018 — conf
Colorectal Cancer Classification using Deep Convolutional Networks - An Experimental Study.
BIOIMAGING
Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
2018 — conf
Going Deeper into Colorectal Cancer Histopathology.
BIOSTEC (Selected Papers)
Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
2017 — conf
A Multi-modal Brain Image Registration Framework for US-guided Neuronavigation Systems - Integrating MR and US for Minimally Invasive Neuroimaging.
BIOIMAGING
Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
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