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Dario Malchiodi

Università degli Studi di Milano unimi
(associate professor)
(visiting scientist)
Data Science Research Centre DSRC
(scientific board)

31/03/2023 teaching SAD
Date change for the written test of Statistics and data analytics of June and July 2023
The written test of Statistics and data analytics of June and July have been postponed to 22/06/2023 and to 06/07/2023.
29/03/2023 research
Accepted paper at the EANN-2023 Conference
The paper «A Critical Analysis of Classifier Selection in Learned Bloom Filters: the Essentials», wich I coauthored with D. Raimondi, G. Fumagalli, R. Giancarlo and M. Frasca, has been accepted for presentation at the EANN-2023 Conference.
29/03/2023 research
Accepted paper in «Journal of Archaeological Science: Reports»
The paper «Supervised learning algorithms as a tool for archaeology: classification of ceramic samples described by chemical element concentrations», wich I coauthored with G. Ruschioni, A. M. Zanaboni and L. Bonizzoni, has been accepted for publication in Journal of Archaeological Science: Reports.
28/03/2023 teaching SAD
Schedule change for the Apr, 4th lecture of «Statistics and data analytics»
The «Statistics and data analytics» lecture of 04/04 will start at 11:00.
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Teaching activities

Bachelor, master and PhD

  • Algorithms for massive data (DSE) @unimi master Lectures are in English 2021-222022-23
  • Algorithms for massive datasets @unimi master Lectures are in English 2021-222022-23
  • Computer programming for data analysis @uca DUT Lectures are in french 2021-22
  • Statistics and data analytics @unimi bachelor Lectures are in italian 2021-222022-23
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


[Ruschioni et al., 2023] Ruschioni Giulia, Malchiodi Dario, Zanaboni Anna M. and Bonizzoni Letizia Supervised learning algorithms as a tool for archaeology: classification of ceramic samples described by chemical element concentrations, Journal of Archaeological Science: Reports (2023), In press [BIBTEX]

[Malchiodi et al., 2023] Malchiodi Dario, Raimondi Davide, Fumagalli Giacomo, Giancarlo Raffaele and Frasca Marco A Critical Analysis of Classifier Selection in Learned Bloom Filters: the Essentials, in L. Iliadis, I. Maglogiannis, S. Alonso Castro, C. Jayne and E. Pimenidis (Eds.), Proceedings of the 24th Engineering Application of Neural Networks Conference — EANN 2023, Springer Nature, 2023, In press. [preprint BIBTEX]

[Marinò et al., 2023] Marinò Giosuè C., Petrini Alessandro, Malchiodi Dario and Frasca Marco Deep neural networks compression: a comparative survey and choice recommendations, Neurocomputing 520 (2023), 152—170 [doi> BIBTEX]

[Condorelli and Malchiodi, 2022] Condorelli Andrea and Malchiodi Dario Designing a Master Course on Architectures for Big Data: A Collaboration Between University and Industry, Informatics in Education 4 (2022), 635—653 [doi> BIBTEX]

[Zanaboni et al., 2022] Zanaboni Anna M., Malchiodi Dario, Bonizzoni Letizia and Ruschioni Giulia Classification of Pottery Fragments Described by Concentration of Chemical Elements, in P. L. Mazzeo, E. Frontoni, S. Sclaroff and C. Distante (Eds.), Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022., Vol. 13373, Cham: Springer, Lecture Notes in Computer Science (ISBN 978-3-031-13320-6), 141—151, 2022 [doi> BIBTEX]

[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 — ICPRAM, SciTePress (ISBN 978-989-758-549-4), 675—682, 2022 [doi> 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]

All publications