Marco Frasca

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 40

Top Topics

Protein Function

Negative Examples

Hopfield Network

Top Venues

Publications

Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca
The role of classifiers and data complexity in learned Bloom filters: insights and recommendations. J. Big Data 11 (1) (2024)
Giosuè Cataldo Marinò, Flavio Furia, Dario Malchiodi, Marco Frasca
Efficient and Compact Representations of Deep Neural Networks via Entropy Coding. IEEE Access 11 (2023)
Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca
A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials. EANN (2023)
Jessica Gliozzo, Giosuè Cataldo Marinò, Arturo Bonometti, Marco Frasca, Dario Malchiodi
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer. ICBRA (2023)
Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca
Deep neural networks compression: A comparative survey and choice recommendations. Neurocomputing 520 (2023)
Paolo Ferragina, Marco Frasca, Giosuè Cataldo Marinò, Giorgio Vinciguerra
On Nonlinear Learned String Indexing. IEEE Access 11 (2023)
Paolo Perlasca, Marco Frasca, Cheick Tidiane Ba, Jessica Gliozzo, Marco Notaro, Mario Pennacchioni, Giorgio Valentini, Marco Mesiti
Integration and Visual Analysis of Biomolecular Networks Through UNIPred-Web. ICWE Workshops (2022)
Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca
A Critical Analysis of Classifier Selection in Learned Bloom Filters. CoRR (2022)
Giacomo Fumagalli, Davide Raimondi, Raffaele Giancarlo, Dario Malchiodi, Marco Frasca
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters. ICPRAM (2022)
Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca
Compact representations of convolutional neural networks via weight pruning and quantization. CoRR (2021)
Marco Notaro, Marco Frasca, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Peter N. Robinson, Giorgio Valentini
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction. Bioinform. 37 (23) (2021)
Giacomo Fumagalli, Davide Raimondi, Raffaele Giancarlo, Dario Malchiodi, Marco Frasca
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters. CoRR (2021)
Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks. RRPR (2021)
Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
Compression strategies and space-conscious representations for deep neural networks. ICPR (2020)
Elena Casiraghi, Dario Malchiodi, Gabriella Trucco, Marco Frasca, Luca Cappelletti, Tommaso Fontana, Alessandro Andrea Esposito, Emanuele Avola, Alessandro Jachetti, Justin T. Reese, Alessandro Rizzi, Peter N. Robinson, Giorgio Valentini
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. IEEE Access 8 (2020)
Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
Compression strategies and space-conscious representations for deep neural networks. CoRR (2020)
Sebastiano Vascon, Marco Frasca, Rocco Tripodi, Giorgio Valentini, Marcello Pelillo
Protein function prediction as a graph-transduction game. Pattern Recognit. Lett. 134 (2020)
Marco Frasca, Giuliano Grossi, Giorgio Valentini
Multitask Hopfield Networks. CoRR (2019)
Marco Frasca, Nicolò Cesa-Bianchi
Multitask Protein Function Prediction through Task Dissimilarity. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (5) (2019)
Maryam Sepehri, Marco Frasca
Analysis of Novel Annotations in the Gene Ontology for Boosting the Selection of Negative Examples. ICBET (2019)
Paolo Perlasca, Marco Frasca, Cheick Tidiane Ba, Marco Notaro, Alessandro Petrini, Elena Casiraghi, Giuliano Grossi, Jessica Gliozzo, Giorgio Valentini, Marco Mesiti
UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction. BMC Bioinform. 20 (1) (2019)
Marco Frasca, Giuliano Grossi, Giorgio Valentini
Multitask Hopfield Networks. ECML/PKDD (2) (2019)
Marco Frasca, Nicolò Cesa-Bianchi
Combining Cost-Sensitive Classification with Negative Selection for Protein Function Prediction. CoRR (2018)
Elena Casiraghi, Veronica Huber, Marco Frasca, Mara Cossa, Matteo Tozzi, Licia Rivoltini, Biagio Eugenio Leone, Antonello Villa, Barbara Vergani
A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sections. BMC Bioinform. (10) (2018)
Maryam Sepehri, Marco Frasca
Analysis of Novel Annotations in the Gene Ontology for Boosting the Selection of Negative Examples. CoRR (2018)
Paolo Boldi, Marco Frasca, Dario Malchiodi
Evaluating the impact of topological protein features on the negative examples selection. BMC Bioinform. (14) (2018)
Marco Frasca, Giuliano Grossi, Jessica Gliozzo, Marco Mesiti, Marco Notaro, Paolo Perlasca, Alessandro Petrini, Giorgio Valentini
A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks. BMC Bioinform. (10) (2018)
Marco Frasca, Maryam Sepehri, Alessandro Petrini, Giuliano Grossi, Giorgio Valentini
Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions. CIBB (2018)
Cheick Tidiane Ba, Elena Casiraghi, Marco Frasca, Jessica Gliozzo, Giuliano Grossi, Marco Mesiti, Marco Notaro, Paolo Perlasca, Alessandro Petrini, Matteo Re, Giorgio Valentini
A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks. CIBB (2018)
Paolo Boldi, Marco Frasca, Dario Malchiodi
Correction to: Evaluating the impact of topological protein features on the negative examples selection. BMC Bioinform. 19 (1) (2018)
Marco Notaro, Max Schubach, Marco Frasca, Marco Mesiti, Peter N. Robinson, Giorgio Valentini
Ensembling Descendant Term Classifiers to Improve Gene - Abnormal Phenotype Predictions. CIBB (2017)
Marco Frasca, Jean-Fred Fontaine, Giorgio Valentini, Marco Mesiti, Marco Notaro, Dario Malchiodi, Miguel A. Andrade-Navarro
Disease-Genes Must Guide Data Source Integration in the Gene Prioritization Process. CIBB (2017)
Marco Frasca, Fabio Lipreri, Dario Malchiodi
Analysis of Informative Features for Negative Selection in Protein Function Prediction. IWBBIO (2) (2017)
Marco Frasca, Giorgio Valentini
COSNet: An R package for label prediction in unbalanced biological networks. Neurocomputing 237 (2017)
Marco Frasca
Gene2DisCo: Gene to disease using disease commonalities. Artif. Intell. Medicine 82 (2017)
Marco Frasca, Simone Bassis
Gene-Disease Prioritization Through Cost-Sensitive Graph-Based Methodologies. IWBBIO (2016)
Marco Frasca, Simone Bassis, Giorgio Valentini
Learning node labels with multi-category Hopfield networks. Neural Comput. Appl. 27 (6) (2016)
Marco Frasca, Nicolò Cesa-Bianchi
Multitask Protein Function Prediction Through Task Dissimilarity. CoRR (2016)
Giorgio Valentini, Giuliano Armano, Marco Frasca, Jianyi Lin, Marco Mesiti, Matteo Re
: a flexible tool for node label ranking and classification in biological networks. Bioinform. 32 (18) (2016)
Paolo Perlasca, Giorgio Valentini, Marco Frasca, Marco Mesiti
Multi-species protein function prediction: towards web-based visual analytics. iiWAS (2016)
Marco Frasca
Automated gene function prediction through gene multifunctionality in biological networks. Neurocomputing 162 (2015)
Peter N. Robinson, Marco Frasca, Sebastian Köhler, Marco Notaro, Matteo Re, Giorgio Valentini
A Hierarchical Ensemble Method for DAG-Structured Taxonomies. MCS (2015)
Marco Frasca, Alberto Bertoni, Giorgio Valentini
UNIPred: Unbalance-Aware Network Integration and Prediction of Protein Functions. J. Comput. Biol. 22 (12) (2015)
Horacio Caniza, Alfonso E. Romero, Samuel Heron, Haixuan Yang, Alessandra Devoto, Marco Frasca, Marco Mesiti, Giorgio Valentini, Alberto Paccanaro
GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology. Bioinform. 30 (15) (2014)
Marco Frasca, Alberto Bertoni, Matteo Re, Giorgio Valentini
A neural network algorithm for semi-supervised node label learning from unbalanced data. Neural Networks 43 (2013)
Marco Frasca, Giulio Pavesi
A neural network based algorithm for gene expression prediction from chromatin structure. IJCNN (2013)
Marco Frasca, Alberto Bertoni, Andrea Sion
A Neural Procedure for Gene Function Prediction. WIRN (2012)
Marco Muselli, Alberto Bertoni, Marco Frasca, Alessandro Beghini, Francesca Ruffino, Giorgio Valentini
A Mathematical Model for the Validation of Gene Selection Methods. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (5) (2011)
Alberto Bertoni, Marco Frasca, Giorgio Valentini
COSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in Graphs. ECML/PKDD (1) (2011)
Alberto Bertoni, Marco Frasca, Giuliano Grossi, Giorgio Valentini
Learning functional linkage networks with a cost-sensitive approach. WIRN (2010)