Archivio Istituzionale della RicercaPONZIO, FRANCESCO
PONZIO, FRANCESCO
Dipartimento di Automatica e Informatica
038677
Fixed Point-Aware Regularization of Physics-Informed Neural Networks
In corso di stampa Depaoli, Fabio; Hosseini, Seyed Mohammad Mehdi; Macii, Enrico; Ponzio, Francesco; Di Cataldo, Santa
Inspecting Defects of EB-PBF Components with Active Thermography and Deep Learning: A Feasibility Study
2025 Hosseini, Seyed Mohammad Mehdi; Depaoli, Fabio; Ponzio, Francesco; De Giorgi, Simone; Rizza, Giovanni; Tognoli, Emanuele; Colombini, Giulia; Galati, Manuela; Di Cataldo, Santa
Investigating Reinforcement Learning for Histopathological Image Analysis
2025 Mohamad, Mohamad; Ponzio, Francesco; Gassier, Maxime; Pote, Nicolas; Ambrosetti, Damien; Descombes, Xavier
A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring
2024 Gaiardelli, Sebastiano; Dall’Ora, Nicola; Ponzio, Francesco; Fraccaroli, Enrico; Fummi, Franco; Di Cataldo, Santa; Vinco, Sara
An AI-Enabled Framework for Smart Semiconductor Manufacturing
2024 Alamin, Khaled Sidahmed Sidahmed; Appello, Davide; Beghi, Alessandro; Dall’Ora, Nicola; Depaoli, Fabio; Di Cataldo, Santa; Fummi, Franco; Gaiardelli, Sebastiano; Lora, Michele; Macii, Enrico; Mascolini, Alessio; Pagano, Daniele; Ponzio, Francesco; Antonio Susto, Gian; Vinco, Sara
Physics-Informed Neural Networks: a step towards data-driven optimization of additive manufacturing
2024 Depaoli, Fabio; Felicioni, Stefano; Ponzio, Francesco; Aliberti, Alessandro; Macii, Enrico; Bondioli, Federica; Padovano, Elisa; DI CATALDO, Santa
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge
2024 Mascolini, Alessio; Gaiardelli, Sebastiano; Ponzio, Francesco; Dall’Ora, Nicola; Macii, Enrico; Vinco, Sara; Di Cataldo, Santa; Fummi, Franco
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0
2023 Capogrosso, Luigi; Mascolini, Alessio; Girella, Federico; Skenderi, Geri; Gaiardelli, Sebastiano; Dall'Ora, Nicola; Ponzio, Francesco; Fraccaroli, Enrico; DI CATALDO, Santa; Vinco, Sara; Macii, Enrico; Fummi, Franco; Cristani, Marco
Robotic Arm Dataset (RoAD): a Dataset to Support the Design and Test of Machine Learning-driven Anomaly Detection in a Production Line
2023 Mascolini, Alessio; Gaiardelli, Sebastiano; Ponzio, Francesco; Dall’Ora, Nicola; Macii, Enrico; Vinco, Sara; DI CATALDO, Santa; Fummi, Franco
High Resolution Explanation Maps for CNNs using Segmentation Networks
2022 Mascolini, Alessio; Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa
A Bayesian approach to Expert Gate Incremental Learning
2021 Mieuli, Valerio; Ponzio, Francesco; Mascolini, Alessio; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa
Exploiting "uncertain" deep networks for data cleaning in digital pathology
2020 Ponzio, Francesco; Deodato, Giacomo; Macii, Enrico; DI CATALDO, Santa; Ficarra, Elisa
Going Deeper into Colorectal Cancer Histopathology
2019 Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; DI CATALDO, Santa
Colorectal Cancer Classification using Deep Convolutional Networks. An Experimental Study
2018 Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; DI CATALDO, Santa
Low-cost pupillometry for human-computer interface.
2018 Goddi, A; Ponzio, F; Ficarra, E; di Cataldo, S; Roatta, S.
A multi-modal brain image registration framework for US-guided neuronavigation systems. Integrating MR and US for minimally invasive neuroimaging.
2017 Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; DI CATALDO, Santa
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Fixed Point-Aware Regularization of Physics-Informed Neural Networks / Depaoli, F., Hosseini, S.M.M., Macii, E., Ponzio, F., Di Cataldo, S.. - (In corso di stampa). (33th Italian Workshop on Neural Networks Vietri sul Mare 4th-6th June 2025). | In corso di stampa | Depaoli, FabioHosseini, Seyed Mohammad MehdiMacii, EnricoPonzio, FrancescoDi Cataldo, Santa | - |
| Inspecting Defects of EB-PBF Components with Active Thermography and Deep Learning: A Feasibility Study / Hosseini, S.M.M., Depaoli, F., Ponzio, F., De Giorgi, S., Rizza, G., Tognoli, E., Colombini, G., Galati, M., Di Cataldo, S.. - (2025). (30th International Conference on Emerging Technologies and Factory Automation Porto (PT) 9th-12th September 2025) [10.1109/ETFA65518.2025.11205639]. | 1-gen-2025 | Hosseini, Seyed Mohammad MehdiDepaoli, FabioPonzio, FrancescoDe Giorgi, SimoneRizza, GiovanniGalati, ManuelaDi Cataldo, Santa + | Inspecting_Defects_of_EB-PBF_Components_with_Active_Thermography_and_Deep_Learning_A_Feasibility_Study.pdf |
| Investigating Reinforcement Learning for Histopathological Image Analysis / Mohamad, M., Ponzio, F., Gassier, M., Pote, N., Ambrosetti, D., Descombes, X.. - 1:(2025), pp. 369-375. (18th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOIMAGING Porto (PRT) February 20-22, 2025) [10.5220/0013300900003911]. | 1-gen-2025 | Ponzio, Francesco + | investigating-RL-histo-2025.pdf |
| A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring / Gaiardelli, S., Dall’Ora, N., Ponzio, F., Fraccaroli, E., Fummi, F., Di Cataldo, S., Vinco, S.. - ELETTRONICO. - (2024). (The 25th IEEE International Conference on Industrial Technology (ICIT 2024) Bristol (UK) 25-27 March, 2024) [10.1109/ICIT58233.2024.10541026]. | 1-gen-2024 | Francesco PonzioSanta Di CataldoSara Vinco + | A_Data_Fusion_Service_Oriented_Infrastructure_for_Production_Line_Monitoring_ICIT.pdf; A_Data_Fusion_Service-Oriented_Infrastructure_for_Production_Line_Monitoring.pdf |
| An AI-Enabled Framework for Smart Semiconductor Manufacturing / Alamin, K.S.S., Appello, D., Beghi, A., Dall’Ora, N., Depaoli, F., Di Cataldo, S., Fummi, F., Gaiardelli, S., Lora, M., Macii, E., Mascolini, A., Pagano, D., Ponzio, F., Antonio Susto, G., Vinco, S.. - ELETTRONICO. - (2024). (Design, Automation and Test in Europe Conference (DATE 2024) Valencia (Spain) 25 - 27 March 2024). | 1-gen-2024 | Khaled Sidahmed Sidahmed AlaminFabio DepaoliSanta Di CataldoEnrico MaciiAlessio MascoliniFrancesco PonzioSara Vinco + | 2023_DATE_MPPj_SMART_IC (3).pdf; An_AI-Enabled_Framework_for_Smart_Semiconductor_Manufacturing.pdf |
| Physics-Informed Neural Networks: a step towards data-driven optimization of additive manufacturing / Depaoli, F., Felicioni, S., Ponzio, F., Aliberti, A., Macii, E., Bondioli, F., Padovano, E., DI CATALDO, S.. - ELETTRONICO. - (2024). (IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) Padova (Italy) 10th-13th September 2024) [10.1109/ETFA61755.2024.10710827]. | 1-gen-2024 | Fabio DepaoliStefano FelicioniFrancesco PonzioAlessandro AlibertiEnrico MaciiFederica BondioliElisa PadovanoSanta Di Cataldo | Physics-Informed_Neural_Networks_A_Step_Towards_Data-Driven_Optimization_of_Additive_Manufacturing.pdf |
| VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge / Mascolini, A., Gaiardelli, S., Ponzio, F., Dall’Ora, N., Macii, E., Vinco, S., Di Cataldo, S., Fummi, F.. - ELETTRONICO. - (2024). (DAC '24: 61st ACM/IEEE Design Automation Conference San Francisco (USA) June 23-27, 2024) [10.1145/3649329.3655691]. | 1-gen-2024 | Mascolini, AlessioPonzio, FrancescoMacii, EnricoVinco, SaraDi Cataldo, SantaFummi, Franco + | 3649329.3655691.pdf; 2409.14816v2.pdf |
| Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0 / Capogrosso, L., Mascolini, A., Girella, F., Skenderi, G., Gaiardelli, S., Dall'Ora, N., Ponzio, F., Fraccaroli, E., DI CATALDO, S., Vinco, S., Macii, E., Fummi, F., Cristani, M.. - (2023), pp. 1-4. (Forum on specification & Design Languages Turin, Italy 13-15 September 2023) [10.1109/FDL59689.2023.10272095]. | 1-gen-2023 | Luigi CapogrossoAlessio MascoliniFrancesco PonzioSanta Di CataldoSara VincoEnrico MaciiFranco Fummi + | WildAndCrazyIdea_FDL2023.pdf; Neuro-Symbolic_Empowered_Denoising_Diffusion_Probabilistic_Models_for_Real-Time_Anomaly_Detection_in_Industry_4.0_Wild-and-Crazy-Idea_Paper.pdf |
| Robotic Arm Dataset (RoAD): a Dataset to Support the Design and Test of Machine Learning-driven Anomaly Detection in a Production Line / Mascolini, A., Gaiardelli, S., Ponzio, F., Dall’Ora, N., Macii, E., Vinco, S., DI CATALDO, S., Fummi, F.. - ELETTRONICO. - (2023), pp. -7. (The 49th Annual Conference of the IEEE Industrial Electronics Society Singapore, Singapore 16-19 October 2023) [10.1109/IECON51785.2023.10311726]. | 1-gen-2023 | Alessio MascoliniFrancesco PonzioEnrico MaciiSara VincoSanta Di CataldoFranco Fummi + | TAD_dataset.pdf; Robotic_Arm_Dataset_RoAD_A_Dataset_to_Support_the_Design_and_Test_of_Machine_Learning-Driven_Anomaly_Detection_in_a_Production_Line.pdf |
| High Resolution Explanation Maps for CNNs using Segmentation Networks / Mascolini, A., Ponzio, F., Macii, E., Ficarra, E., Di Cataldo, S.. - (2022), pp. 1-3. (2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) Rome (Italy) 12-16 September 2022) [10.1109/VL/HCC53370.2022.9833004]. | 1-gen-2022 | Mascolini, AlessioPonzio, FrancescoMacii, EnricoDi Cataldo, Santa + | VLHCC_2022_Camera_Ready (3).pdf; High_Resolution_Explanation_Maps_for_CNNs_using_Segmentation_Networks.pdf |
| A Bayesian approach to Expert Gate Incremental Learning / Mieuli, V., Ponzio, F., Mascolini, A., Macii, E., Ficarra, E., Di Cataldo, S.. - (2021), pp. 1-7. (2021 International Joint Conference on Neural Networks (IJCNN) Shenzhen (China) 18-22 July 2021) [10.1109/IJCNN52387.2021.9534204]. | 1-gen-2021 | Ponzio, FrancescoMascolini, AlessioMacii EnricoFicarra, ElisaDi Cataldo, Santa + | IJCNN.pdf; A_Bayesian_approach_to_Expert_Gate_Incremental_Learning.pdf |
| Exploiting "uncertain" deep networks for data cleaning in digital pathology / Ponzio, F., Deodato, G., Macii, E., DI CATALDO, S., Ficarra, E.. - (2020), pp. 1139-1143. (IEEE International Symposium on Biomedical Imaging Coralville (USA) 3-7 Aprile 2020) [10.1109/ISBI45749.2020.9098605]. | 1-gen-2020 | Francesco PonzioGiacomo DeodatoEnrico MaciiSanta Di CataldoElisa Ficarra | 09098605.pdf |
| Going Deeper into Colorectal Cancer Histopathology / Ponzio, F., Macii, E., Ficarra, E., DI CATALDO, S.. - ELETTRONICO. - 1024:(2019), pp. 114-131. (BIOIMAGING 2018 ) [10.1007/978-3-030-29196-9_7]. | 1-gen-2019 | Ponzio FrancescoMacii EnricoFicarra ElisaDi Cataldo Santa | Biostec2018_SPRINGER (1)-compresso.pdf; 10.1007_978-3-030-29196-9_selected.pdf |
| Colorectal Cancer Classification using Deep Convolutional Networks. An Experimental Study / Ponzio, F., Macii, E., Ficarra, E., DI CATALDO, S.. - ELETTRONICO. - 2:(2018), pp. 58-66. (11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOIMAGING 2018) Funchal Madeira, Portugal 19-21 January 2018) [10.5220/0006643100580066]. | 1-gen-2018 | Francesco PonzioEnrico MaciiElisa FicarraSanta Di Cataldo | BIOIMAGING_2018_29.pdf; biostec_2018 (3).pdf |
| Low-cost pupillometry for human-computer interface / Goddi, A., Ponzio, F., Ficarra, E., di Cataldo, S., Roatta, S.. - (2018). (Convegno Le Tecnologie Assistive nell'Età Adulta: realtà europee e nuovi approcci riabilitativi, un tema multidisciplinare. Torino 13-14 Aprile 2018). | 1-gen-2018 | Ponzio FFicarra Edi Cataldo S + | - |
| A multi-modal brain image registration framework for US-guided neuronavigation systems. Integrating MR and US for minimally invasive neuroimaging / Ponzio, F., Macii, E., Ficarra, E., DI CATALDO, S.. - ELETTRONICO. - 2:(2017), pp. 114-121. (10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) Porto, Portugal 21-23 February 2017) [10.5220/0006239201140121]. | 1-gen-2017 | PONZIO, FRANCESCOMACII, EnricoFICARRA, ELISADI CATALDO, SANTA | BIOIMAGING_2017_20.pdf; biostec_2017 (2).pdf |