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Evelina Lamma

Evelina Lamma's photo
Full professor
Dipartimento di Ingegneria, Università di Ferrara,

Stanza 324
Blocco A, Polo Scientifico Tecnologico
University of Ferrara
Via Saragat 1, 44122, Ferrara, Italy
Tel: +39 0532 974894 Fax: +39 0532 974894
E-Mail: evelina.lamma@unife.it
Ricevimento: su appuntamento richiesto via email o telefono.
University Home Page

Latest Publications

[10] Niccolò Ferrari, Michele Fraccaroli, and Evelina Lamma. Grd-net: Generative-reconstructive-discriminative anomaly detection with region of interest attention module. International Journal of Intelligent Systems, 2023:7773481, Sep 2023. [ bib | DOI | http ]
[9] Michele Fraccaroli, Alice Bizzarri, Paolo Casellati, and Evelina Lamma. Exploiting cnn's visual explanations to drive anomaly detection. Applied Intelligence, 2023. [ bib | DOI | http ]
[8] Damiano Azzolini, Fabrizio Riguzzi, and Evelina Lamma. Semantics for hybrid probabilistic logic programs with function symbols: Technical summary. In Joaquín Arias, Roberta Calegari, Luke Dickens, Wolfgang Faber, Jorge Fandinno, Gopal Gupta, Markus Hecher, Daniela Inclezan, Emily LeBlanc, Michael Morak, Elmer Salazar, and Jessica Zangari, editors, Proceedings of the International Conference on Logic Programming 2022 Workshops co-located with the 38th International Conference on Logic Programming (ICLP 2022), volume 3193 of CEUR Workshop Proceedings, pages 1--5, Aachen, Germany, 2022. Sun SITE Central Europe. [ bib | .pdf ]
[7] Marco Alberti, Riccardo Zese, Fabrizio Riguzzi, and Evelina Lamma. An Iterative Fixpoint Semantics for MKNF Hybrid Knowledge Bases with Function Symbols. In Yuliya Lierler, Jose F. Morales, Carmine Dodaro, Veronica Dahl, Martin Gebser, and Tuncay Tekle, editors, Proceedings of the 38th International Conference on Logic Programming (Technical Communications), volume 364 of Electronic Proceedings in Theoretical Computer Science, pages 65--78, Waterloo, Australia, 2022. Open Publishing Association. [ bib | DOI | http | .pdf ]
[6] Michele Fraccaroli, Fabrizio Riguzzi, and Evelina Lamma. Exploiting parameters learning for hyper-parameters optimization in deep neural networks. In Yuliya Lierler, Jose F. Morales, Carmine Dodaro, Veronica Dahl, Martin Gebser, and Tuncay Tekle, editors, Proceedings of the 38th International Conference on Logic Programming (Technical Communications), Recently Published Research track, volume 364 of Electronic Proceedings in Theoretical Computer Science, pages 142--144, Waterloo, Australia, 2022. Open Publishing Association. [ bib | DOI | http ]
[5] Michele Fraccaroli, Evelina Lamma, and Fabrizio Riguzzi. Symbolic DNN-Tuner: A Python and ProbLog-based system for optimizing deep neural networks hyperparameters. SoftwareX, 17:100957, 2022. [ bib | DOI | http ]
[4] 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 ]
[3] Damiano Azzolini, Fabrizio Riguzzi, Elena Bellodi, and Evelina Lamma. A probabilistic logic model of lightning network. In Witold Abramowicz, Sören Auer, and Milena Stróżyna, editors, Business Information Systems Workshops, Lecture Notes in Business Information Processing (LNBIP), pages 321--333, Cham, Switzerland, 2022. Springer International Publishing. [ bib | DOI | http | .pdf ]
[2] Riccardo Zese, Elena Bellodi, Michele Fraccaroli, Fabrizio Riguzzi, and Evelina Lamma. Neural networks and deep learning fundamentals. In Rino Micheloni and Cristian Zambelli, editors, Machine Learning and Non-volatile Memories, pages 23--42. Springer International Publishing, Cham, 2022. [ bib | DOI | http ]
[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 ]