Attività didattiche

Corsi di laurea e dottorato

• Algoritmi per dati su larga scala @unimi laurea magistrale 2022-23 – 2023-24
• Algoritmi per dati su larga scala (DSE) @unimi laurea magistrale 2022-23 – 2023-24
• Deep learning in bioinformatics @unimi dottorato 2023-24
• Efficacy and efficiency evaluation of machine learning models @unimi dottorato 2023-24
• Statistica e analisi dei dati @unimi laurea 2022-23 – 2023-24

Ricerca

Tematiche di ricerca

• Induzione di insiemi fuzzy
• Compressione di modelli di machine learning
• Mining di basi di conoscenza nel Web semantico
• Selezione di esempi negativi in ambito bioinformatico
• Previsione del rischio COVID-19 basata su ML
• Applicazione di ML in ambito veterinario e forense
• Divulgazione della cultura informatica

Progetti

• Multicriteria Data Structures and Algorithms: from compressed to learned indexes, and beyond PRIN

Pubblicazioni

[Paravisi et al., 2024] Paravisi Mattia, Visconti Andrea e Malchiodi Dario Security Analysis of Cryptographic Algorithms: Hints from Machine Learning, in L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis e C. Jayne (Eds.), Engineering Applications of Neural Networks. EANN 2024., Vol. 2141, Cham: Springer, Communications in Computer and Information Science, 569–580, 2024 [doi> BIBTEX]

[Frasson and Malchiodi, 2024] Frasson Marco e Malchiodi Dario Support Vector Based Anomaly Detection Engineering Applications of Neural Networks. EANN 2024. L. Iliadis I. Maglogiannis A. Papaleonidas E. Pimenidis C. Jayne Springer Cham Communications in Computer and Information Science 2141 in Federated Learning, in , 274–287, 2024 [doi> BIBTEX]

[Malchiodi et al., 2024] Malchiodi Dario, Raimondi Davide, Fumagalli Giacomo, Giancarlo Raffaele e Frasca Marco The role of classifiers and data complexity in learned Bloom filters: insights and recommendations, Journal of Big Data 11 - 45 (2024) [doi> BIBTEX]

[Nicolini et al., 2024] Nicolini Marco, Malchiodi Dario, Cabri Alberto, Cavalleri Emanuele, Mesiti Marco, Paccanaro Alberto, Robinson Peter N., Reese Justin, Casiraghi Elena e Valentini Giorgio Fine-Tuning of Conditional Transformers Improves the Generalization of Functionally Characterized Proteins, in BIOSTEC 2024 - 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Proceedings, Vol. 1, SCITEPRESS (ISBN 978-989-758-688-0), 561-568, 2024 [doi> BIBTEX]

[Gliozzo et al., 2024] Gliozzo Jessica, Marinò Giosuè, Bonometti Arturo, Frasca Marco e Malchiodi Dario Resource-Limited Automated Ki67 Index Estimation in Breast Cancer, in Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications (ICBRA '23), New York, NY, USA: ACM, 165–172, 2024 [doi> BIBTEX]

[Valentini et al., 2023] Valentini Giorgio, Malchiodi Dario, Gliozzo Jessica, Mesiti Marco, Soto-Gomez Mauricio, Cabri Alberto, Reese Justin, Casiraghi Elena e Robinson Peter N. The promises of large language models for protein design and modeling, Frontiers in Bioinformatics 3 (2023), 1304099 [doi> BIBTEX]

[Marinò et al., 2023] Marinò Giosuè C., Furia Flavio, Malchiodi Dario e Frasca Marco Efficient and Compact Representations of Deep Neural Networks via Entropy Coding, IEEE Access 11 (2023), 106103—106125 [doi> BIBTEX]

[Ruschioni et al., 2023] Ruschioni Giulia, Malchiodi Dario, Zanaboni Anna M. e Bonizzoni Letizia Supervised learning algorithms as a tool for archaeology: classification of ceramic samples described by chemical element concentrations, Journal of Archaeological Science: Reports 49 (2023), 103995 [doi> BIBTEX]

[Malchiodi et al., 2023] Malchiodi Dario, Raimondi Davide, Fumagalli Giacomo, Giancarlo Raffaele e Frasca Marco A Critical Analysis of Classifier Selection in Learned Bloom Filters: the Essentials, in L. Iliadis, I. Maglogiannis, S. Alonso Castro, C. Jayne e E. Pimenidis (Eds.), Engineering Application of Neural Networks — 24th International Conference — EAAAI/EANN 2023 — León, Spain, June 14—17, 2023 —Proceedings, Springer Nature, Communications in Computer and Information Science 1826, 47—61, 2023 [doi> preprint BIBTEX]

[Marinò et al., 2023a] Marinò Giosuè C., Petrini Alessandro, Malchiodi Dario e 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 e 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 e Ruschioni Giulia Classification of Pottery Fragments Described by Concentration of Chemical Elements, in P. L. Mazzeo, E. Frontoni, S. Sclaroff e 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 e 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]

[Galizzi et al., 2021] Galizzi Alberto, Bagardi Mara, Stranieri Angelica, Zanaboni Anna M., Malchiodi Dario, Borromeo Vitaliano, Brambilla Paola G. e 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]