Methods:

• Artificial Intelligence and Machine Learning
• Explainability
• Explainability of CNNs
• Explainability of tabular data
• Human-in-the-loop Explainability

Members:

• A. Tocchetti
• A. De Santis
• M. Bianchi
• R. Campi
• M. Brambilla

Publications:

• M Bianchi, A De Santis, A Tocchetti, M Brambilla, 2024, Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification, Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. Main Track. Pages 3715-3723. https://doi.org/10.24963/ijcai.2024/411.
• A Tocchetti, M Brambilla, 2022, The role of human knowledge in explainable AI, Data 7 (7), 93.
• A Tocchetti, L Corti, A Balayn, M Yurrita, P Lippmann, M Brambilla, J Yang, 2022, AI robustness: a human-centered perspective on technological challenges and opportunities, arXiv preprint arXiv:2210.08906.
• A Tocchetti, L Corti, M Brambilla, I Celino, 2022, EXP-crowd: a gamified crowdsourcing framework for explainability, Frontiers in Artificial Intelligence 5, 826499.

Methods:

• Data Mining and Machine Learning
• NLP

Members:

• F. Corso
• F. Pierri
• M. Brambilla
• S. Ceri

Publications:

• F Pierri, B Perry, MR DeVerna, KC Yang, A Flammini, F Menczer, 2022, Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal, Scientific Reports.
• F Pierri, S Ceri, 2019, False news on social media: a data-driven survey, ACM Sigmod Record 48 (2), 18-27.
• F Pierri, A Artoni, S Ceri, 2020, Investigating Italian disinformation spreading on Twitter in the context of 2019 European elections, PloS one 15 (1), e0227821.
• F Pierri, C Piccardi, S Ceri, 2020, Topology comparison of Twitter diffusion networks effectively reveals misleading information, Scientific reports 10 (1), 1372.
• F Pierri, L Luceri, N Jindal, E Ferrara, 2023, Propaganda and Misinformation on Facebook and Twitter during the Russian Invasion of Ukraine, WebSci’23 – 15th ACM Web Science Conference.
• G Brena, M Brambilla, S Ceri, M Di Giovanni, F Pierri, G Ramponi, 2019, News sharing user behaviour on twitter: A comprehensive data collection of news articles and social interactions, Proceedings of the International AAAI Conference on Web and Social Media.
• F Pierri, A Tocchetti, L Corti, MD Giovanni, S Pavanetto, M Brambilla, S Ceri, 2021, VaccinItaly: monitoring Italian conversations around vaccines on Twitter and Facebook, Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media.
• M Di Giovanni, F Pierri, C Torres-Lugo, M Brambilla, 2022, VaccinEU: COVID-19 vaccine conversations on Twitter in French, German and Italian, Proceedings of the AAAI international conference on web and social media (ICWSM) 2022.
• M Di Giovanni, L Corti, S Pavanetto, F Pierri, A Tocchetti, M Brambilla, 2021, A Content-based Approach for the Analysis and Classification of Vaccine-related Stances on Twitter: the Italian Scenario, Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media.
• F Pierri, 2023, Political advertisement on Facebook and Instagram in the run up to 2022 Italian general election, WebSci’23 – 15th ACM Web Science Conference.
• F Pierri, G Liu, S Ceri, 2023, ITA-ELECTION-2022: A multi-platform dataset of social media conversations around the 2022 Italian general election, CIKM ’23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management.
• Bär, D., Pierri, F., Morales, G.D.F. and Feuerriegel, S., 2023. Auditing targeted political advertising on social media during the 2021 German election. arXiv preprint arXiv:2310.10001.

Methods:

• Conceptual Modeling
• Database Management Systems (DBMS)
• Data Mining and Machine Learning

Keywords:

• Virology
• Genomic annotation
• Visualization

Members:

• T. Alfonsi
• A. Bernasconi
• S. Ceri
• P. Pinoli

Publications:

• Pinoli, P., Canakoglu, A., Ceri, S., Chiara, M., Ferrandi, E., Minotti, L. and Bernasconi, A., 2023. VariantHunter: a method and tool for fast detection of emerging SARS-CoV-2 variants. Database, 2023, p.baad044.
• Alfonsi, T., Bernasconi, A., Chiara, M. and Ceri, S., 2023. Data-driven recombination detection in viral genomes. Nature Communications 15, 3313.
• Al Khalaf, R., Bernasconi, A., Pinoli, P. Impact of Omicron subvariants’ mutations on B cell and T cell epitopes: A systematic data analysis. [Accepted for publication in Plos ONE]

Methods:

• Conceptual Modeling
• Database Management Systems (DBMS)

Keywords:

• Ontologies
• Controlled Vocabulary
• Interoperability Resources

Members:

• N. Barret
• A. Bernasconi
• B. Bikbov
• P. Pinoli

Publications:

• Bernasconi, A., Simon, A.G., Guizzardi, G., Bonino, L.O. and Storey, V.C., 2023, June. Ontological representation of FAIR principles: A blueprint for FAIRer data sources. In International Conference on Advanced Information Systems Engineering (pp. 261-277). Cham: Springer Nature Switzerland.
• Bernasconi, A., Cappiello, C., Ceri, S. and Pinoli, P., 2024. Achieving data FAIRification in a distributed analytics research platform for rare diseases. In 15th International Conference on Semantic Web Appplications and Tools for Health Care and Life Sciences.

Methods:

• ​​Database Management Systems (DBMS)
• Natural Language Processing (NLP)
• Data Mining and Machine Learning
• Human-computer Interaction

Keywords:

• Dynamic Topic modeling
• LLMs
• Science of science
• Web data
• Time series

Members:

• A. Bernasconi
• F. Invernici
• S. Ceri

Collaborators:

• L. Mari (PoliMi)
• NGI Search TETYS project (https://annabernasconi.faculty.polimi.it/project-tetys/)

Publications:

• Invernici, F., Bernasconi, A. and Ceri, S. Exploring the evolution of research topics during the COVID-19 pandemic. (2024) Expert Systems with Applications 252, 124028.

Methods:

• Conceptual Modeling
• Database Management Systems (DBMS)

Keywords:

• Systemic Design
• Causal Loop Diagrams
• Repository
• Reinforcing dynamics

Members:

• A. Bernasconi
• S. Ceri

Methods:

• Conceptual Modeling
• Database Management Systems (DBMS)
• Data Mining

Keywords:

• Neo4j
• graph databases
• association rules mining
• triggers
• reactive systems

Members:

• A. Bernasconi
• F. Cambria
• S. Ceri
• F. Invernici
• D. Magnanimi

Collaborators:

• L. Mari (PoliMi)