FRASCA, MARCO
FRASCA, MARCO
Dipartimento di Informatica Giovanni Degli Antoni
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
A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials
2023 D. Malchiodi, D. Raimondi, G. Fumagalli, R. Giancarlo, M. Frasca
Combining Clinical and Genetic Data to Predict Response to Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients: A Precision Medicine Approach
2023 L. Ferrè, F. Clarelli, B. Pignolet, E. Mascia, M. Frasca, S. Santoro, M. Sorosina, F. Bucciarelli, L. Moiola, V. Martinelli, G. Comi, R. Liblau, M. Filippi, G. Valentini, F. Esposito
Deep neural networks compression: A comparative survey and choice recommendations
2023 G.C. Marinó, A. Petrini, D. Malchiodi, M. Frasca
On Nonlinear Learned String Indexing
2023 P. Ferragina, M. Frasca, G. Cataldo Marinò, G. Vinciguerra
Efficient and Compact Representations of Deep Neural Networks via Entropy Coding
2023 G. Cataldo Marinò, F. Furia, D. Malchiodi, M. Frasca
Integration and Visual Analysis of Biomolecular Networks Through UNIPred-Web
2023 P. Perlasca, M. Frasca, C.T. Ba, J. Gliozzo, M. Notaro, M. Pennacchioni, G. Valentini, M. Mesiti
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
Transcriptional Profiling of Hippocampus Identifies Network Alterations in Alzheimer’s Disease
2022 V. Quarato, S. D'Antona, P. Battista, R. Zupo, R. Sardone, I. Castiglioni, D. Porro, M. Frasca, C. Cava
Identification of key miRNAs in prostate cancer progression based on miRNA-mRNA network construction
2022 G.D. Santo, M. Frasca, G. Bertoli, I. Castiglioni, C. Cava
Identification of Breast Cancer Subtype-Specific Biomarkers by Integrating Copy Number Alterations and Gene Expression Profiles
2021 C. Cava, M. Pisati, M. Frasca, I. Castiglioni
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction
2021 M. Notaro, M. Frasca, A. Petrini, J. Gliozzo, E. Casiraghi, P.N. Robinson, G. Valentini
Artificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical and a Qualitative Chest X-Ray Scoring System
2021 A. Esposito, E. Casiraghi, F. Chiaraviglio, A. Scarabelli, E. Stellato, G. Plensich, G. Lastella, L. Di Meglio, S. Fusco, E. Avola, A. Jachetti, C. Giannitto, D. Malchiodi, M. Frasca, A. Beheshti, P.N. Robinson, G. Valentini, L. Forzenigo, G. Carrafiello
Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks
2021 G.C. Marino, G. Ghidoli, M. Frasca, D. Malchiodi
Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction
2020 J. Gliozzo, P. Perlasca, M. Mesiti, E. Casiraghi, V. Vallacchi, E. Vergani, M. Frasca, G. Grossi, A. Petrini, M. Re, A. Paccanaro, G. Valentini
Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions
2020 M. Frasca, M. Sepehri, A. Petrini, G. Grossi, G. Valentini
parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants
2020 A. Petrini, M. Mesiti, M. Schubach, M. Frasca, D. Danis, M. Re, G. Grossi, L. Cappelletti, T. Castrignano, P.N. Robinson, G. Valentini
Explainable machine learning for early assessment of COVID-19 risk prediction in emergency departments
2020 E. Casiraghi, D. Malchiodi, G. Trucco, M. Frasca, L. Cappelletti, F. Tommaso, A.A. Esposito, E. Avola, A. Jachetti, J. Reese, A. Rizzi, P.N. Robinson, G. Valentini
Compression strategies and space-conscious representations for deep neural networks
2020 G.C. Marino, G. Ghidoli, M. Frasca, D. Malchiodi