Archivio Istituzionale della RicercaPONZIO, FRANCESCO
PONZIO, FRANCESCO
Dipartimento di Automatica e Informatica
038677
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
Machine learning-enabled real-time anomaly detection for electron beam powder bed fusion additive manufacturing
2024 Cannizzaro, Davide; Antonioni, Paolo; Ponzio, Francesco; Galati, Manuela; Patti, Edoardo; Di Cataldo, Santa
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
Radiomics for differentiation of gliomas from primary central nervous system lymphomas: a systematic review and meta-analysis
2024 Garaba, Alexandru; Aslam, Nummra; Ponzio, Francesco; Panciani, Pier Paolo; Brinjikji, Waleed; Fontanella, Marco; De Maria, Lucio
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
Cigarette Smoking and Intracranial Aneurysms: A Pilot Analysis of SNPs in the CYP2A6 Gene in the Italian Population
2023 Ferrari, Erika; Cornali, Claudio; Fiorindi, Alessandro; Agosti, Edoardo; Gallone, Salvatore; Rubino, Elisa; Ponzio, Francesco; Fontanella, Marco Maria; De Maria, Lucio
Detection of Inferior Vena Cava in Ultrasound Scans through a Deep Learning Model
2023 Policastro, Piero; Chiarion, Giovanni; Ponzio, Francesco; Ermini, Leonardo; Civera, Stefania; Albani, Stefano; Musumeci, Giuseppe; Roatta, Silvestro; Mesin, Luca
Improving CNNs classification with pathologist-based expertise: the renal cell carcinoma case study
2023 Ponzio, Francesco; Descombes, Xavier; Ambrosetti, Damien
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
Radiomics for Differentiation of Pediatric Posterior Fossa Tumors: A Meta-Analysis and Systematic Review of the Literature
2023 Garaba, Alexandru; Ponzio, Francesco; Grasso, Eleonora Agata; Brinjikji, Waleed; Fontanella, Marco Maria; De Maria, Lucio
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
W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality
2023 Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa
A Machine Learning Approach to Support Treatment Identification for Chiari I Malformation
2022 Mesin, Luca; Ponzio, Francesco; Francesco Carlino, Christian; Lenge, Matteo; Noris, Alice; Carmela Leo, Maria; Sica, Michela; Mcgreevy, Kathleen; Leila Ahngar Fabrik, Erica; Giordano, Flavio
e-Pupil: IoT-based Augmentative and Alternative Communication device exploiting the pupillary near-reflex
2022 Chiarion, Giovanni; Ponzio, Francesco; Terna, Stefano; Moglia, Cristina; Patti, Edoardo; DI CATALDO, Santa; Roatta, Silvestro
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations
2022 Mascolini, Alessio; Cardamone, Dario; Ponzio, Francesco; Di Cataldo, Santa; Ficarra, Elisa
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
A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images
2021 Mascolini, Alessio; Puzzo, S.; Incatasciato, G.; Ponzio, F.; Ficarra, E.; Di Cataldo, S.
Deep learning at the microscope - Working towards improved microscopy image analysis with deep neural networks
2021 Ponzio, Francesco
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring / Gaiardelli, Sebastiano; Dall’Ora, Nicola; Ponzio, Francesco; Fraccaroli, Enrico; Fummi, Franco; DI CATALDO, Santa; Vinco, Sara. - ELETTRONICO. - (2024). (Intervento presentato al convegno The 25th IEEE International Conference on Industrial Technology (ICIT 2024) tenutosi a Bristol (UK) nel 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, 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. - ELETTRONICO. - (2024). (Intervento presentato al convegno Design, Automation and Test in Europe Conference (DATE 2024) tenutosi a Valencia (Spain) nel 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 |
| Machine learning-enabled real-time anomaly detection for electron beam powder bed fusion additive manufacturing / Cannizzaro, Davide; Antonioni, Paolo; Ponzio, Francesco; Galati, Manuela; Patti, Edoardo; Di Cataldo, Santa. - In: JOURNAL OF INTELLIGENT MANUFACTURING. - ISSN 0956-5515. - (2024). [10.1007/s10845-024-02359-6] | 1-gen-2024 | Cannizzaro, DavideAntonioni, PaoloPonzio, FrancescoGalati, ManuelaPatti, EdoardoDi Cataldo, Santa | s10845-024-02359-6.pdf |
| Physics-Informed Neural Networks: a step towards data-driven optimization of additive manufacturing / Depaoli, Fabio; Felicioni, Stefano; Ponzio, Francesco; Aliberti, Alessandro; Macii, Enrico; Bondioli, Federica; Padovano, Elisa; DI CATALDO, Santa. - ELETTRONICO. - (2024). (Intervento presentato al convegno IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) tenutosi a Padova (Italy) nel 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 |
| Radiomics for differentiation of gliomas from primary central nervous system lymphomas: a systematic review and meta-analysis / Garaba, Alexandru; Aslam, Nummra; Ponzio, Francesco; Panciani, Pier Paolo; Brinjikji, Waleed; Fontanella, Marco; De Maria, Lucio. - In: FRONTIERS IN ONCOLOGY. - ISSN 2234-943X. - 14:(2024). [10.3389/fonc.2024.1291861] | 1-gen-2024 | Ponzio, Francesco + | Manuscript-accepted.pdf |
| VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge / Mascolini, Alessio; Gaiardelli, Sebastiano; Ponzio, Francesco; Dall’Ora, Nicola; Macii, Enrico; Vinco, Sara; Di Cataldo, Santa; Fummi, Franco. - ELETTRONICO. - (2024). (Intervento presentato al convegno DAC '24: 61st ACM/IEEE Design Automation Conference tenutosi a San Francisco (USA) nel 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 |
| Cigarette Smoking and Intracranial Aneurysms: A Pilot Analysis of SNPs in the CYP2A6 Gene in the Italian Population / Ferrari, Erika; Cornali, Claudio; Fiorindi, Alessandro; Agosti, Edoardo; Gallone, Salvatore; Rubino, Elisa; Ponzio, Francesco; Fontanella, Marco Maria; De Maria, Lucio. - In: WORLD NEUROSURGERY. - ISSN 1878-8750. - 179:(2023), pp. 492-499. [10.1016/j.wneu.2023.08.128] | 1-gen-2023 | Ponzio, Francesco + | ponzio 1-s2.0-S1878875023012421-main.pdf |
| Detection of Inferior Vena Cava in Ultrasound Scans through a Deep Learning Model / Policastro, Piero; Chiarion, Giovanni; Ponzio, Francesco; Ermini, Leonardo; Civera, Stefania; Albani, Stefano; Musumeci, Giuseppe; Roatta, Silvestro; Mesin, Luca. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 12:7(2023), pp. 1-13. [10.3390/electronics12071725] | 1-gen-2023 | Piero PolicastroGiovanni ChiarionFrancesco PonzioLeonardo ErminiStefania CiveraLuca Mesin + | electronics-12-01725.pdf |
| Improving CNNs classification with pathologist-based expertise: the renal cell carcinoma case study / Ponzio, Francesco; Descombes, Xavier; Ambrosetti, Damien. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 13:1(2023), p. 15887. [10.1038/s41598-023-42847-y] | 1-gen-2023 | Ponzio, Francesco + | ponzio s41598-023-42847-y.pdf |
| Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0 / 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. - (2023), pp. 1-4. (Intervento presentato al convegno Forum on specification & Design Languages tenutosi a Turin, Italy nel 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 |
| Radiomics for Differentiation of Pediatric Posterior Fossa Tumors: A Meta-Analysis and Systematic Review of the Literature / Garaba, Alexandru; Ponzio, Francesco; Grasso, Eleonora Agata; Brinjikji, Waleed; Fontanella, Marco Maria; De Maria, Lucio. - In: CANCERS. - ISSN 2072-6694. - 15:24(2023). [10.3390/cancers15245891] | 1-gen-2023 | Ponzio, Francesco + | ponzio cancers-15-05891-with-cover.pdf |
| Robotic Arm Dataset (RoAD): a Dataset to Support the Design and Test of Machine Learning-driven Anomaly Detection in a Production Line / Mascolini, Alessio; Gaiardelli, Sebastiano; Ponzio, Francesco; Dall’Ora, Nicola; Macii, Enrico; Vinco, Sara; DI CATALDO, Santa; Fummi, Franco. - ELETTRONICO. - (2023), pp. -7. (Intervento presentato al convegno The 49th Annual Conference of the IEEE Industrial Electronics Society tenutosi a Singapore, Singapore nel 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 |
| W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality / Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - 214:(2023), p. 119121. [10.1016/j.eswa.2022.119121] | 1-gen-2023 | Ponzio, FrancescoMacii, EnricoFicarra, ElisaDi Cataldo, Santa | 1-s2.0-S095741742202139X-main.pdf; W2WNet__a_two_module_probabilistic_Convolutional_Neural_Network_with_embedded_data_cleansing_functionality.pdf |
| A Machine Learning Approach to Support Treatment Identification for Chiari I Malformation / Mesin, Luca; Ponzio, Francesco; Francesco Carlino, Christian; Lenge, Matteo; Noris, Alice; Carmela Leo, Maria; Sica, Michela; Mcgreevy, Kathleen; Leila Ahngar Fabrik, Erica; Giordano, Flavio. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 12:18(2022), p. 9039. [10.3390/app12189039] | 1-gen-2022 | Luca MesinFrancesco Ponzio + | ChiariMalformation_ApplSci.pdf |
| e-Pupil: IoT-based Augmentative and Alternative Communication device exploiting the pupillary near-reflex / Chiarion, Giovanni; Ponzio, Francesco; Terna, Stefano; Moglia, Cristina; Patti, Edoardo; DI CATALDO, Santa; Roatta, Silvestro. - In: IEEE ACCESS. - ISSN 2169-3536. - 10:(2022), pp. 130078-130088. [10.1109/ACCESS.2022.3229143] | 1-gen-2022 | Giovanni ChiarionFrancesco PonzioEdoardo PattiSanta Di CataldoSilvestro Roatta + | CR_e-Pupil_IoT-Based_Augmentative_and_Alternative_Communication_Device_Exploiting_the_Pupillary_Near-Reflex.pdf |
| Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations / Mascolini, Alessio; Cardamone, Dario; Ponzio, Francesco; Di Cataldo, Santa; Ficarra, Elisa. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - 23:1(2022). [10.1186/s12859-022-04845-1] | 1-gen-2022 | Mascolini, AlessioPonzio, FrancescoDi Cataldo, Santa + | s12859-022-04845-1.pdf |
| High Resolution Explanation Maps for CNNs using Segmentation Networks / Mascolini, Alessio; Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa. - (2022), pp. 1-3. (Intervento presentato al convegno 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) tenutosi a Rome (Italy) nel 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, Valerio; Ponzio, Francesco; Mascolini, Alessio; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa. - (2021), pp. 1-7. (Intervento presentato al convegno 2021 International Joint Conference on Neural Networks (IJCNN) tenutosi a Shenzhen (China) nel 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 |
| A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images / Mascolini, Alessio; Puzzo, S.; Incatasciato, G.; Ponzio, F.; Ficarra, E.; Di Cataldo, S. - In: Progresses in Artificial Intelligence and Neural Systems. Smart Innovation, Systems and Technologies / Esposito A., Faundez-Zanuy M., Morabito F.C., Pasero E.. - Singapore : Springer, Singapore, 2021. - ISBN 978-981-15-5093-5. - pp. 125-136 [10.1007/978-981-15-5093-5_12] | 1-gen-2021 | MASCOLINI, ALESSIOF. PonzioE. FicarraS. Di Cataldo + | A_Novel_POC_Framework_for_ConvNets_on_WSIs.pdf; WIRN_2019.pdf |
| Deep learning at the microscope - Working towards improved microscopy image analysis with deep neural networks / Ponzio, Francesco. - (2021 Oct 12), pp. 1-141. | 12-ott-2021 | PONZIO, FRANCESCO | conv_ponzio_thesis.pdf; conv_ponzio_summary.pdf |