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
• Incertezza e affidabilità nei sistemi di intelligenza artificiale
• 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

[Malchiodi et al., 2026] Malchiodi Dario, Dal Mas Luca, Frasca Marco, Rivolta Massimo W. e Mazzon Ivan Detecting LLM Hallucinations via Anomaly Detection on Latent Representations, in MDAI 2026 Proceedings., 2026, In stampa [BIBTEX]

[Zanaboni et al., 2026] Zanaboni Anna M., Malchiodi Dario e Nasra Antoine ADAZOR: Hypothesis Testing for Concept Drift Detection in Machine Learning, in L. Iliadis, I. Maglogiannis, M. Antonakakis e C. Jayne (Eds.), Engineering Applications of Neural Networks, Vol. 3025, Cham: Speringer Nature Switzerland, Communications in Computer and Information Science, 256–269, 2026 [doi> BIBTEX]

[Malchiodi et al., 2026a] Malchiodi Dario, Ferraretto Mattia e Frasca Marco Quantization-Aware Regularizers for Deep Neural Networks Compression, in IJCNN 2026 Proceedings., 2026, In stampa [BIBTEX]

[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 2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Pisa, Italy, 2026, IEEE, 1–6, 2026 [doi> 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 WWW Companion '26: Companion Proceedings of the ACM Web Conference, Association for Computing Machinery (ISBN 9798400723087), 597-606, 2026, In stampa [doi> BIBTEX]

[Nicolini et al., 2025] Nicolini Marco, Saitto 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]