Alice Bizzarri

PhD Student - Dottorato Nazionale in Intelligenza Artificiale per Industria 4.0 - "Neural symbolic computation for Industry 4.0"
Dipartimento di Ingegneria, Università di Ferrara,
Laboratorio 331

Blocco A, Polo Scientifico Tecnologico
University of Ferrara
Via Saragat 1, 44122, Ferrara, Italy

E-Mail: alice.bizzarri@unife.it
Ricevimento: su appuntamento richiesto via email o telefono..

Publications

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Elisabetta Gentili, Alice Bizzarri, Damiano Azzolini, Riccardo Zese, and Fabrizio Riguzzi. Regularization in probabilistic inductive logic programming. In Elena Bellodi, Francesca Alessandra Lisi, and Riccardo Zese, editors, Inductive Logic Programming - ILP 2023, volume 14363 of Lecture Notes in Computer Science, pages 16--29, Cham, 2023. Springer Nature Switzerland. [ bib | DOI | http ]

[1]

Michele Fraccaroli, Alice Bizzarri, Paolo Casellati, and Evelina Lamma. Exploiting cnn's visual explanations to drive anomaly detection. Applied Intelligence, 2023. [ bib | DOI | http ]

[2]

Michele Fraccaroli, Alice Bizzarri, Paolo Casellati, and Evelina Lamma. Cross entropy overlap distance. Accepted and Presented at ITAL-IA 2022, workshop on AI for Industry, feb 2022. [ bib | .pdf ]

[1]

Arnaud Nguembang Fadja, Michele Fraccaroli, Alice Bizzarri, Giulia Mazzuchelli, and Evelina Lamma. Neural-symbolic ensemble learning for early-stage prediction of critical state of covid-19 patients. Medical & Biological Engineering & Computing, 2022. [ bib | DOI | http ]

[1]

Michele Fraccaroli, Giulia Mazzucchelli, and Alice Bizzarri. Machine learning techniques for extracting relevant features from clinical data for COVID-19 mortality prediction. In 2021 Symposium on Computers and Communications (ISCC): 26th IEEE Symposium on Computers and Communications - Workshop on ICT Solutions for eHealth (ICTS4eHealth) (ICTS4eHealth2021), pages 1--7, Athens, Greece, September 2021. [ bib | DOI ]