Attività didattiche

Corsi di laurea e dottorato

• Algoritmi per dati su larga scala @unimi laurea magistrale 2024-25 – 2025-26
• Algoritmi per dati su larga scala (DSE) @unimi laurea magistrale 2024-25 – 2025-26
• 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 2024-25 – 2025-26

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

• PRECOCO: Metodi di AI per diagnostica PRECOce del carcinoma squamoso del Cavo Orale basato su imaging label-free PNRR
• Multicriteria Data Structures and Algorithms: from compressed to learned indexes, and beyond PRIN

Pubblicazioni

[Dashti Genave et al., 2026] Dashti Genave Amirreza, Malchiodi Dario e Frasca Marco Compression Techniques for Membership Functions to Fuzzy Sets Learned from Data, in PerCom 2026 Proceedings., 2026, In stampa [BIBTEX]

[Cavalleri et al., 2026] Cavalleri Emanuele, Alavinezhad Miad, Mesiti Marco e Malchiodi Dario Better Negatives, Better Predictions: Negative Sample Selection Strategies for Enhancing Biomedical KG Edge Classification, in Proceedings of the ACM Web Conference 2026., 2026, In stampa [BIBTEX]

[Nicolini et al., 2025] Nicolini Marco, Emanuele, Jimenez Franco Ruben E., Cavalleri Emanuele, Galeano Alfonso Aldo J., Malchiodi Dario, Paccanaro Alberto, Robinson Peter N., Casiraghi Elena e Valentini Giorgio Fine-tuning of conditional Transformers improves in silico enzyme prediction and generalization, Computational and Structural Biotechnology Journal 27 (2025), 1318–1334 [doi> BIBTEX]

[Biagiotti et al., 2025] Biagiotti Alessandro, Malchiodi Dario, Mariotto Samuele e Rossi Lucio Quench detection and localization via interpretable machine learning, in L. Iliadis, I. Maglogiannis, E. Kyriacou e C. Jayne (Eds.), Engineering Applications of Neural Networks. EANN 2025., Vol. 2582, Cham: Springer, Communications in Computer and Information Science, 151–164, 2025 [doi> BIBTEX]

[Malchiodi et al., 2025] Malchiodi Dario, Zanaboni Anna M., Di Gioacchino Alessandro e Bonizzoni Letizia One-class vs binary machine learning classification of ceramic samples described by chemical element concentrations, Journal of Cultural Heritage 71 (2025), 234–241 [doi> BIBTEX]

[Cavalleri et al., 2024] Cavalleri Emanuele, Soto-Gomez Mauricio, Pashaeibarough Ali, Malchiodi Dario, Caufield Harry, Reese Justin, Mungall Christopher J., Robinson Peter N., Casiraghi Elena, Valentini Giorgio e Mesiti Marco Initial achievements in relation extraction from RNA-focused scientific papers, in M. Atzori, P. Ciacca, M. Ceci, F. Mandreoli, D. Malerba, M. Sanguinetti, A. Pellicani e F. Motta (Eds.), Proceedings of the 32nd Symposium on Advanced Database Systems, 61–69, 2024 [BIBTEX]

[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 in Federated 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, 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]

[Cavalleri et al., 2024a] Cavalleri Emanuele, Soto-Gomez Mauricio, Pashaeibarough Ali, Malchiodi Dario, Caufield Harry, Reese Justin, Mungall Christopher J., Robinson Peter N., Casiraghi Elena, Valentini Giorgio e Mesiti Marco SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning , in Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, vldb.org, 1–11, 2024 [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), 1304099.1—1304099.11 [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]