MALCHIODI, DARIO
MALCHIODI, DARIO
Dipartimento di Informatica Giovanni Degli Antoni
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
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
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
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
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer
2024 J. Gliozzo, G. Marinò, A. Bonometti, M. Frasca, D. Malchiodi
Support Vector Based Anomaly Detection in Federated Learning
2024 M. Frasson, D. Malchiodi
Security Analysis of Cryptographic Algorithms: Hints from Machine Learning
2024 M. Paravisi, A. Visconti, D. Malchiodi
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
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
A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials
2023 D. Malchiodi, D. Raimondi, G. Fumagalli, R. Giancarlo, M. Frasca
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
Classification of Pottery Fragments Described by Concentration of Chemical Elements
2022 A. Zanaboni, D. Malchiodi, L. Bonizzoni, G. Ruschioni
Designing a master course on architectures for big data : a collaboration between University and industry
2022 A. Condorelli, D. Malchiodi
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters
2022 M. Frasca, D. Malchiodi, R. Giancarlo, D. Raimondi, G. Fumagalli
Factors affecting the urinary aldosterone-to-creatinine ratio in healthy dogs and dogs with naturally occurring myxomatous mitral valve disease
2021 A. Galizzi, M. Bagardi, A. Stranieri, A.M. Zanaboni, D. Malchiodi, V. Borromeo, P.G.M. Brambilla, C. Locatelli
A pilot study for investigating the feasibility of supervised machine learning approaches for the classification of pedestrians struck by vehicles
2021 M. Casali, D. Malchiodi, C. Spada, A.M. Zanaboni, R. Cotroneo, D. Furci, A. Sommariva, U. Genovese, A. Blandino
Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks
2021 G.C. Marino, G. Ghidoli, M. Frasca, D. Malchiodi
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
2021 M. Bagardi, C. Locatelli, A.M. Zanaboni, A. Galizzi, D. Malchiodi, G. Brambilla Paola