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Dario Malchiodi

Università degli Studi di Milano unimi
(associate professor)
(visiting scientist)
Université de la Côte d'Azur uca
(visiting professor)
Data Science Research Centre DSRC
(scientific board)

25/01/2022 teaching SAD
January oral tests of Statistics and data analysis and public correction
The Statistics and data analysis oral tests for january will take place on 26 and 27/1 at 9:30. Students interested in attending to the tests can connect using zoom. The public correction of the written test will take place online after the oral tests of 27/1.
12/01/2022 teaching SAD
Place and time of the Statistics and data analysis written test of January 17th, 2022
The Statistics and data analytics written test of 17/1 will take place in the classroom Delta of the computer science department, starting at 14:30. To avoid gatherings, students are summoned according to the initial of their surname: A-C 14:30, D-N 14:40, P-Z 14:50. Students must wait outside the department for the convocation time. Participants may bring a book and a notebook for consultation and must wear a face mask (the use of FFP2 masks is strongly advised). Eligible students who have sent the corresponding request will be able to catch up the round in a special session organized before 31/1.
08/01/2022 teaching AMD-DSE
2021-22 student assessment form
Students of the 2021-22 cohort are invited to fill-in an assessment form.
10/12/2021 research
Accepted paper at the ICPR2022 Conference
The paper «On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters», wich I coauthored with G. Fumagalli, D. Raimondi, R. Giancarlo and M. Frasca, has been accepted for presentation at the ICPR2022 Conference.
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Teaching activities

Bachelor, master and PhD

All activities


Research areas

  • Data-driven induction of fuzzy sets
  • Compression of machine learning models
  • Mining of knowledge bases in semantic Web
  • Negative example selection in bioinformatics
  • ML-based COVID-19 risk prediction
  • Application of ML in veterinary and forensics
  • Popularization of informatics culture
All areas


All projects


[Fumagalli et al., 2022] Fumagalli Giacomo, Raimondi Davide, Giancarlo Raffaele, Malchiodi Dario and Frasca Marco On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters, in Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, 2022, in press [BIBTEX]

[Casali et al., 2021] Casali Michelangelo, Malchiodi Dario, Spada Claudio, Zanaboni Anna M., Cotroneo Rosy, Furci Domenico, Sommariva Andrea, Genovese Umberto and Blandino Alberto A pilot study for investigating the feasibility of supervised machine learning approaches for the classification of pedestrians struck by vehicles, Journal of Forensics and Legal Medicine 84 (2021), 102256 [doi> BIBTEX]

[Bagardi et al., 2021] Bagardi Mara, Locatelli Chiara, Zanaboni Anna M., Galizzi Alberto, Malchiodi Dario and Brambilla Paola G. Multiple retrospective analysis of survival and evaluation of cardiac death predictors in a population of dogs affected by degenerative mitral valve disease in ACVIM class C treated with different therapeutic protocols, Polish Journal of Veterinary Sciences 24 - 1 (2021), 109—118 [doi> BIBTEX]

[Esposito et al., 2021] Esposito Andrea A., Casiraghi Elena, Chiaraviglio Francesca, Scarabelli Alice, Stellato Elvira, Plensich Guido, Lastella Giulia, Di Meglio Letizia, Fusco Stefano, Avola Emanuele, Jachetti Alessandro, Giannitto Caterina, Malchiodi Dario, Frasca Marco, Beheshti Afshin, Robinson Peter N., Valentini Giorgio, Forzenigo Laura and Carrafiello Gianpaolo Artificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical, and a Qualitative Chest X-Ray Scoring System, Reports in Medical Imaging 14 (2021), 27—39 [doi> BIBTEX]

[Galizzi et al., 2021] Galizzi Alberto, Bagardi Mara, Stranieri Angelica, Zanaboni Anna M., Malchiodi Dario, Borromeo Vitaliano, Brambilla Paola G. and Locatelli Chiara Factors affecting the urinary aldosterone-to-creatinine ratio in healthy dogs and dogs with naturally occurring myxomatous mitral valve disease, BMC Veterinary Research 17 - 1 (2021), 1—14 [doi> BIBTEX]

[Marinò et al., 2021] Marinò Giosuè C., Ghidoli Gregorio, Frasca Marco and Malchiodi Dario Reproducing the sparse Huffman Address Map compression for deep neural networks, in B. Kerautret, M. Colom, A. Krähenbühl, Adrien, D. Lopresti, P. Monasse and H. Talbot (Eds.), Reproducible Research in Pattern Recognition, Cham: Springer International Publishing, Lecture Notes in Computer Science 12636, 161—166, 2021 [doi> BIBTEX]

[Marinò et al., 2021a] Marinò Giosué C., Ghidoli Gregorio, Frasca Marco and Malchiodi Dario Compression strategies and space-conscious representations for deep neural networks, in 2020 25th International Conference on Pattern Recognition (ICPR), IEEE, 9835—9842, 2021 [doi> BIBTEX]

[Casiraghi et al., 2020] Casiraghi Elena, Malchiodi Dario, Trucco Gabriella, Frasca Marco, Cappelletti Luca, Fontana Tommaso, Esposito Andrea A., Avola Emanuele, Jachetti Alessandro, Reese Justin, Rizzi Alessandro, Robinson Peter N. and Valentini Giorgio Explainable machine learning for early assessment of COVID-19 risk prediction in emergency departments, IEEE Access 8 (2020), 196299—196325 [doi> BIBTEX]

[Malchiodi et al., 2020] Malchiodi Dario, da Costa Pereira Célia and Tettamanzi Andrea G. Classifying Candidate Axioms via Dimensionality Reduction Techniques, in V. Torra, Y. Narukawa, J. Nin and N. Agell (Eds.), Modeling Decisions for Artificial Intelligence. 17th International Conference, MDAI 2020 Sant Cugat, Spain, September 2–4, 2020 Proceedings, Cham, Switzerland: Springer, Lecture Notes in Computer Sciencce 12256, 179—191, 2020 [doi> BIBTEX]

[Cermenati et al., 2020] Cermenati Luca, Malchiodi Dario and Zanaboni Anna Maria Simultaneous Learning of Fuzzy Sets, in A. Esposito, M. Faundez-Zanuy, M. Morabito and E. Pasero (Eds.), Neural Approaches to Dynamics of Signal Exchanges, Vol. 151, Singapore: Springer, Smart Innovation, Systems and Technologies, 167-175, 2020 [doi> BIBTEX]

[Lodi et al., 2019] Lodi Michael, Malchiodi Dario, Monga Mattia, Morpurgo Anna and Spieler Bernadette Constructionist Attempts at Supporting the Learning of Computer Programming: A Survey, Olympiads in Informatics 13 (2019), 99—121 [doi> BIBTEX]

[Malchiodi and Zanaboni, 2019] Malchiodi Dario and Zanaboni Anna Maria Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness, in R. Fullér, S. Giove and F. Masulli (Eds.), Fuzzy Logic and Applications — 12th International Workshop, WILF 2018 Genoa, Italy, September 6–7, 2018 — Revised Selected Papers, Cham: Springer Nature Switzerland AG, Lecture Notes in Artificial Intelligence 11291 (ISBN 978-3-030-12543-1/978-3-030-12544-8), 17—28, 2019 [doi> BIBTEX]

[Malchiodi et al., 2018] Malchiodi Dario, da Costa Pereira Célia and Tettamanzi Andrea G. Predicting the Possibilistic Score of OWL Axioms through Support Vector Regression, in D. Ciucci, G. Pasi and B. Vantaggi (Eds.), Scalable Uncertainty Management. SUM 2018, Cham: Springer, Lecture Notes in Artificial Intelligence 11142 (ISBN 978-3-030-00460-6/978-3-030-00461-3), 2018 [doi> BIBTEX]

[Boldi et al., 2018] Boldi Paolo, Frasca Marco and Malchiodi Dario Evaluating the impact of topological protein features on the negative examples selection, BMC Bioinformatics 19 - 14 (2018), 417.115–417.126 [doi> Open access link BIBTEX]

[Malchiodi and Tettamanzi, 2018] Malchiodi Dario and Tettamanzi Andrea G. Predicting the Possibilistic Score of OWL Axioms through Modified Support Vector Clustering, in H. Haddad, R. L. Wainwright and R. Chbeir (Eds.), SAC'18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing, ACM (ISBN 9781450351911), 1984–1991, 2018 [doi> BIBTEX]

[Malchiodi and Pedrycz, 2013] Malchiodi Dario and Pedrycz Witold Learning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering, in F. Masulli, G. Pasi and R. Yager (Eds.), Fuzzy Logic and Applications. 10th International Workshop, WILF 2013, Genoa, Italy, November 19–22, 2013. Proceedings., Vol. 8256, Springer International Publishing, Switzerland, Lecture Notes on Artificial Intelligence (ISBN 978-3-319-03199-6), 52–59, 2013 [doi> BIBTEX]

All publications