cherubino

Supervising

Ph.D Theses

  • [2021-2024] Luca Corbucci, In Progress, Ph.D in Computer Science, University of Pisa.
  • [2021-2024] Costanza Alfieri, In Progress, (co-supervision by P. Inverardi), National Ph.D in Artificial Intelligence, University of Pisa.
  • [2021-2024] Lorenzo Mannocci, In Progress, (co-supervision by S. Cresci, M. Tesconi), National Ph.D in Artificial Intelligence, University of Pisa.
  • [2021-2024] Michele Fontana, In Progress, (co-supervision by M. Nanni & F. Giannotti) National Ph.D in Artificial Intelligence, University of Pisa.
  • [2020-2023] Francesco Spinanto, In Progress, (co-supervision by R. Guidotti & M. Nanni) Ph.D in Data Science, Scuola Normale Superiore.
  • [2019-2022] Daniela Rotelli, In Progress, Ph.D in Computer Science, University of Pisa.
  • [2019-2022] Oliveira Gomes Fernanda, In Progress, (co-supervision by C. Renso) Ph.D in Computer Science, University of Pisa.
  • [2019-2022] Silvia Corbara, In Progress, (co-supervision by F. Sebastiani) Ph.D in Data Science, Scuola Normale Superiore.
  • [2019-2022] Francesca Naretto, In Progress, (co-supervision by F. Giannotti, ISTI-CNR) Ph.D in Data Science, Scuola Normale Superiore.
  • [2018-2021] Benedetta Iavarone, In Progress, (co-supervision by F. Dell’Orletta) Ph.D in Data Science, Scuola Normale Superiore.
  • [2018-2021] Mattia Setzu, Opening the Black Box: Empowering Machine Learning Models with Explanations, (co-supervision by D. Pedreschi) Ph.D in Computer Science, University of Pisa, May 2022.
  • [2017-2020] Said Daoudagh, In ProgThe GDPR Compliance Through Access Control Systems, (co-supervision by E. Marchetti), Ph.D in Computer Science, University of Pisa, July 2021.
  • [2016-2019] Roberto Pellungrini, Modeling & Predicting Privacy Risk in Personal Data (co-supervision by D. Pedreschi), Ph.D in Computer Science, University of Pisa, March 2020.

Research scolarships

  • [December 2021 – ongoing] Mattia Setzu: Arricchire modelli di machine learning non interpretabili con spiegazioni usando metodologie di tipo local to global, Department of Computer Science, University of Pisa.
  • [June 2021 – October 2021] Martina Cinquini: Causal discovery for explainable artificial intelligence, Department of Computer Science, University of Pisa.
  • [June 2021 – October 2021] Luca Corbucci: Study and application of NLP techniques to XAI methods for healthcare, Department of Computer Science, University of Pisa.
  • [May 2021 – October 2021] Valerio Bonsignori: Studying interpretable models derived by merging of tree-based classifiers, Department of Computer Science, University of Pisa.
  • [January 2021 – December 2021] Giacomo Mariani: Privacy risk evaluation in text data, Department of Computer Science, University of Pisa.
  • [May 2020 – October 2020] Francesco Spinanto: Explaination Methods for Time Series Classification, Department of Computer Science, University of Pis

Undergraduate Theses

  • In Progress,  Giulia Volpi, M.Sc. in Informatica, University of Pisa.
  • In Progress,  Gerardo Zinno, M.Sc. in Informatica, University of Pisa.
  • In Progress,  Marino Marco Giuseppe, M.Sc. in Informatica, University of Pisa.
  • In Progress,  Antonello Dettori, B.Sc. in Informatica, University of Pisa.
  • In Progress,  Matteo Montagnani, M.Sc. in Informatica, University of Pisa.
  • [2021] Michele Fontana, A new approach for cross-silo federated learning and its privacy risks, M.Sc. in Informatica, University of Pisa, October 2021.
  • [2021] Lorenzo Mannocci, Bot detection with unsupervised approach based on multivariate time series, M.Sc. in Data Science & Business Informatics, University of Pisa, October 2021.
  • [2021] Luca Corbucci, Semantic enrichment of XAI explanations for healthcare, M.Sc. in Informatica, University of Pisa, June 2021.
  • [2021] Valerio Bonsignori, Deriving a Single Interpretable Model by Merging Tree-based Classifiers, M.Sc. in Informatica, University of Pisa, May 2021.
  • [2021] Chiara Firmani, Membership Inference Attack against Copy’s Framework (co-supervision Oriol Pujol Vila, Universitat de Barcelona, F. Naretto) M.Sc. in Data Science & Business Informatics, University of Pisa, May 2021.
  • [2021] Francesco Sabiu, Privacy risk analysis of LIME explanations. M.Sc. in Informatica, University of Pisa.
  • In Progress, Marco De Vincenzi, Privacy and Security Issues in Vehicular ad hoc Networks, M.Sc. in Data Science & Business Informatics, University of Pisa.
  • [2020] Giacomo Mariani, Privacy risk assessment in text mining, B.Sc. in Informatica, University of Pisa, Dec 2020.
  • [2020] Francesco Gemignani, PRIVSeq: una Libreria Python per la Valutazione del Rischio di Privacy su Dati Sequenziali, B.Sc. in Informatica, University of Pisa, July 2020.
  • [2020] Cono Stabile, Data Warehouse per il calcolo del costo del lavoro in FCA, M.Sc. in Data Science & Business Informatics, University of Pisa, May 2020.
  • [2020] Simona Ortolani, Modelli di predizione per la gestione degli ordini in ambito Oil & Gas, M.Sc. in Data Science & Business Informatics, University of Pisa, May 2020.
  • [2020] Michele Resta, Increasing the Interpretability of Deep Recurrent Models for Biomedical Signals Analysis (co-supervision by D. Bacciu and A. Vellido), M.Sc. in Informatica, Università di Pisa, May 2020.
  • [2020] Francesco Spinanto A Model Agnostic Local Explainer for Time Series Black-Box Classifiers (co-supervision with R. Guidotti), M.Sc. in Data Science & Business Informatics, University of Pisa, March 2020.
  • [2020] Lorenzo Gazzella, Analysing privacy-risks in social networks by deep learning for graphs (co-supervision with D. Bacciu), B.Sc. in Informatica, University of Pisa, March 2020.
  • [2019] Giuseppe De Franco, Realizzazione di un sistema di business intelligence per il monitoraggio degli indicatori d’Ateneo, M.Sc. in Data Science & Business Informatics, University of Pisa, December 2019.
  • [2019] Francesca Naretto, A Framework for privacy risk prediction of sequence data (co-supervision by Mirco Musolesi, UCL), M.Sc. in Informatica, University of Pisa, July 2019.
  • [2019] Simay Kocan and Huseyin Varol Erdem, Assessing Privacy Risk on Social Network Data, M.Sc. in Informatica, University of Pisa, July 2019.
  • [2019] Alessandro Armillotta , Il Machine Learning e le Reti Neurali a supporto delle Telco, M.Sc. in Data Science & Business Informatics, University of Pisa, July 2019.
  • [2019] Elia Secchi, Design and development of a microservices architecture, NoSQL and Graph Databases for finance consultancy, M.Sc. in Data Science & Business Informatics, University of Pisa, July 2019.
  • [2019] Riccardo Affolter, Xlib – Explanation Library for Black Box Models, M.Sc. in Data Science & Business Informatics, University of Pisa, June 2019.
  • [2019] Domitilla Cessari, Data-driven evaluation of individual customer journeys to optimize marketing campaigns, M.Sc. in Data Science & Business Informatics, University of Pisa, May 2019.
  • [2018] Alessandra Vellani, Studio e sviluppo di strumenti di analisi KPI nel Fashion Retail, M.Sc. in Data Science & Business Informatics, University of Pisa, November 2018.
  • [2018] Tommaso Inghirami, Analisi di Big Data relativi alla mobilità veicolare per lo studio di elettrificabilità di un contesto urbano, M.Sc. in Data Science & Business Informatics, University of Pisa, November 2018.
  • [2018] Marin Kola, Una web application per la ricerca di bandi di gara basata su text classification e information retrieval, M.Sc. in Data Science & Business Informatics, University of Pisa, November 2018.
  • [2018] Davide Semeraro, Progettazione e realizzazione di un data warehouse per una compagnia riassicurativa., M.Sc. in Data Science & Business Informatics, University of Pisa, November 2018.
  • [2018] Giovanni Genovese, Data Science per l’analisi di un sistema di inchiostrazione per stampanti flessografiche (co-supervision by Daniele Mazzei and Antonio Bellosi – Bobst) M.Sc. in Data Science & Business Informatics, University of Pisa, October 2018.
  • [2018] Mario Boncoraglio, Progettazione e sviluppo di una soluzione di Business Intelligence per l’Analisi dei Margini, M.Sc. in Business Informatics, University of Pisa, October 2018.
  • [2018] Mattia Setzu, Building global interpretable classifiers via local explanations (co-supervision by Franco Turini), M.Sc. in Informatica University of Pisa, October 2018.
  • [2018] Leonardo Carriaggi, Model-agnostic explanations of black box classifiers for image recognition (co-supervision by Riccardo Guidotti), M.Sc. in Informatica University of Pisa, October 2018.
  • [2018] Marcello Salerno, Progettazione e sviluppo di una piattaforma di business intelligence per il mercato produttivo agro-alimentare, M.Sc. in Business Informatics, University of Pisa, July 2018.
  • [2018] Pietro Giacalone, Progettazione e sviluppo di una piattaforma di business intelligence per l’analisi della morosita degli immobili, M.Sc. in Business Informatics, University of Pisa, April 2018.
  • [2018] Francesco La Perna, Data Mining techniques for consumer credit scoring prediction and anomaly detection, M.Sc. in Business Informatics, University of Pisa, April 2018.
  • [2018] Giuseppe Di Modugno and Fabrizio Rizzi, Tecniche di Data Mining per la predizione di caratteristiche demografiche di utenti web, M.Sc. in Business Informatics, University of Pisa, April 2018.
  • [2018] Nicolò Dossena Sviluppo di un framework analitico per inferire la squadra del cuore dei clienti di una media company, M.Sc. in Business Informatics, University of Pisa, April 2018.
  • [2016] Roberto Pellungrini, A Framework for privacy risk prediction of sequence data (co-supervision by Luca Pappalardo, ISTI-CNR), M.Sc. in Business Informatics, University of Pisa, October 2016.
  • [2013] Elena Nannini, Personal Data Store Coop (co-supervision with D. Pedreschi), M.Sc, in Informatica Umanistica, University of Pisa, December 2013.
  • [2013] Letizia Milli, Quantification Tree (co-supervision with D. Pedreschi) M.Sc. in Informatica, University of Pisa, April 2013.
  • [2013] Francesca Pratesi, Privacy by Design in Distributed Mobility Data (co-supervision with D. Pedreschi), M.Sc. in Informatica, University of Pisa, February 2013.
  • [2012] Giacomo Bachi, Tecniche di graph mining per la classificazione del segno degli archi in reti complesse (co-supervision by F. Giannotti, ISTI-CNR), M.Sc. in Informatica, University of Pisa, April 2012.
  • [2009] Laura Caponi, Pubblicazione anonima di dati sequenziali (co-supervision with D. Pedreschi) M.Sc. in Informatica, University of Pisa, April 2009.
  • [2009] Riccardo Vandoni, Un framework per la valutazione di metodi per l’anonimizzazione di dati di mobilita (co-supervision by M. Nanni, ISTI-CNR) M.Sc. in Informatica, University of Pisa, Aprile 2009.

Reviewer PhD Theses

  • [2013] Sara Hajian, Simultaneous Discrimination Prevention and Privacy Protection in Data Publishing and Mining. PhD in Philosophy of Computer Science. Universitat Rovira i Virgili, Department of Computer Engineering and Mathematics. Advisors:  Dr. Josep Domingo-Ferrer and Dr. Dino Pedreschi. July, 2013.
  • [2012] Rolando Trujillo-Rasua, Privacy in RFID and Mobile Objects. PhD in Philosophy of Computer Science. Universitat Rovira i Virgili, Department of Computer Engineering and Mathematics. Advisors: Dr. Agusti Solanas and Dr. Josep Domingo-Ferrer. April, 2012.