MALCHIODI, DARIO
MALCHIODI, DARIO
Dipartimento di Informatica Giovanni Degli Antoni
ADAZOR: Hypothesis Testing for Concept Drift Detection in Machine Learning
2026 A.M. Zanaboni, D. Malchiodi, A. Nasra
Better Negatives, Better Predictions: Negative Sample Selection Strategies for Enhancing Biomedical KG Edge Classification
2026 E. Cavalleri, M. Alavinezhad, M. Mesiti, D. Malchiodi
Fine-tuning of conditional Transformers improves in silico enzyme prediction and generation
2025 M. Nicolini, E. Saitto, R.E. Jimenez Franco, E. Cavalleri, A.J. Galeano Alfonso, D. Malchiodi, A. Paccanaro, P.N. Robinson, E. Casiraghi, G. Valentini
Fatal fall from a height: is it possible to apply artificial intelligence techniques for height estimation?
2025 A. Blandino, A.M. Zanaboni, D. Malchiodi, C.V. Di Francesco, C. Spada, C. Faraone, G.V. Travaini, M.B. Casali
One-class vs binary machine learning classification of ceramic samples described by chemical element concentrations
2025 D. Malchiodi, A.M. Zanaboni, A. Di Gioacchino, L. Bonizzoni
Quench Detection and Localization via Interpretable Machine Learning
2025 A. Biagiotti, D. Malchiodi, S. Mariotto, L. Rossi
The role of classifiers and data complexity in learned Bloom filters: insights and recommendations
2024 D. Malchiodi, D. Raimondi, G. Fumagalli, R. Giancarlo, M. Frasca
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer
2024 J. Gliozzo, G. Marinò, A. Bonometti, M. Frasca, D. Malchiodi
Security Analysis of Cryptographic Algorithms: Hints from Machine Learning
2024 M. Paravisi, A. Visconti, D. Malchiodi
Support Vector Based Anomaly Detection in Federated Learning
2024 M. Frasson, D. Malchiodi
Initial achievements in relation extraction from RNA-focused scientific papers
2024 E. Cavalleri, M. Soto-Gomez, A. Pashaeibarough, D. Malchiodi, H. Caufield, J. Reese, C.J. Mungall, P.N. Robinson, E. Casiraghi, G. Valentini, M. Mesiti
SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning
2024 E. Cavalleri, M. Soto Gomez, A. Pashaeibarough, D. Malchiodi, J.H. Caufield, J.T. Reese, C. Mungall, P.N. Robinson, E. Casiraghi, G. Valentini, M. Mesiti
Fine-tuning of Conditional Transformers Improves the Generalization of Functionally Characterized Proteins
2024 M. Nicolini, D. Malchiodi, A. Cabri, E. Cavalleri, M. Mesiti, A. Paccanaro, N. Robinson Peter, J. Reese, E. Casiraghi, G. Valentini
Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins
2024 M. Nicolini, D. Malchiodi, A. Cabri, E. Cavalleri, M. Mesiti, A. Paccanaro, P.N. Robinson, J. Reese, E. Casiraghi, G. Valentini
Deep neural networks compression: A comparative survey and choice recommendations
2023 G.C. Marinó, A. Petrini, D. Malchiodi, M. Frasca
Efficient and Compact Representations of Deep Neural Networks via Entropy Coding
2023 G. Cataldo Marinò, F. Furia, D. Malchiodi, M. Frasca
The promises of large language models for protein design and modeling
2023 G. Valentini, D. Malchiodi, J. Gliozzo, M. Mesiti, M. Soto Gomez, A. Cabri, J. Reese, E. Casiraghi, P.N. Robinson
Supervised learning algorithms as a tool for archaeology: Classification of ceramic samples described by chemical element concentrations
2023 G. Ruschioni, D. Malchiodi, A.M. Zanaboni, L. Bonizzoni
A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials
2023 D. Malchiodi, D. Raimondi, G. Fumagalli, R. Giancarlo, M. Frasca
Classification of Pottery Fragments Described by Concentration of Chemical Elements
2022 A. Zanaboni, D. Malchiodi, L. Bonizzoni, G. Ruschioni