MALCHIODI, DARIO
MALCHIODI, DARIO
Dipartimento di Informatica Giovanni Degli Antoni
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
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
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
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 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
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
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
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
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
Efficient and Compact Representations of Deep Neural Networks via Entropy Coding
2023 G. Cataldo Marinò, F. Furia, D. Malchiodi, M. Frasca
Deep neural networks compression: A comparative survey and choice recommendations
2023 G.C. Marinó, A. Petrini, D. Malchiodi, M. Frasca
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
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
Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks
2021 G.C. Marino, G. Ghidoli, M. Frasca, D. Malchiodi
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