Marco Frasca - RankMe

52 papers B 2C 3Journal 31Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantization-Aware Regularizers for Deep Neural Networks Compression. CoRR Dario Malchiodi, Mattia Ferraretto, Marco Frasca
2024	J	`jnl`	Resource-Limited Automated Ki67 Index Estimation in Breast Cancer. CoRR Jessica Gliozzo, Giosuè Cataldo Marinò, Arturo Bonometti, Marco Frasca, Dario Malchiodi
2024	J	`jnl`	The role of classifiers and data complexity in learned Bloom filters: insights and recommendations. J. Big Data Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca
2023	C	`conf`	A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials. EANN Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca
2023	J	`jnl`	Deep neural networks compression: A comparative survey and choice recommendations. Neurocomputing Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca
2023	J	`jnl`	Efficient and Compact Representations of Deep Neural Networks via Entropy Coding. IEEE Access Giosuè Cataldo Marinò, Flavio Furia, Dario Malchiodi, Marco Frasca
2023	J	`jnl`	On Nonlinear Learned String Indexing. IEEE Access Paolo Ferragina, Marco Frasca, Giosuè Cataldo Marinò, Giorgio Vinciguerra
2023	—	`conf`	Resource-Limited Automated Ki67 Index Estimation in Breast Cancer. ICBRA Jessica Gliozzo, Giosuè Cataldo Marinò, Arturo Bonometti, Marco Frasca, Dario Malchiodi
2022	J	`jnl`	A Critical Analysis of Classifier Selection in Learned Bloom Filters. CoRR Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca
2022	—	`conf`	Integration and Visual Analysis of Biomolecular Networks Through UNIPred-Web. ICWE Workshops Paolo Perlasca, Marco Frasca, Cheick Tidiane Ba, Jessica Gliozzo, Marco Notaro, Mario Pennacchioni, Giorgio Valentini, Marco Mesiti
2022	C	`conf`	On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters. ICPRAM Giacomo Fumagalli, Davide Raimondi, Raffaele Giancarlo, Dario Malchiodi, Marco Frasca
2021	J	`jnl`	Compact representations of convolutional neural networks via weight pruning and quantization. CoRR Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca
2021	J	`jnl`	HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction. Bioinform. Marco Notaro, Marco Frasca, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Peter N. Robinson, Giorgio Valentini
2021	J	`jnl`	On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters. CoRR Giacomo Fumagalli, Davide Raimondi, Raffaele Giancarlo, Dario Malchiodi, Marco Frasca
2021	—	`conf`	Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks. RRPR Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
2020	B	`conf`	Compression strategies and space-conscious representations for deep neural networks. ICPR Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
2020	J	`jnl`	Compression strategies and space-conscious representations for deep neural networks. CoRR Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
2020	J	`jnl`	Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. IEEE Access 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
2020	J	`jnl`	Protein function prediction as a graph-transduction game. Pattern Recognit. Lett. Sebastiano Vascon, Marco Frasca, Rocco Tripodi, Giorgio Valentini, Marcello Pelillo
2019	—	`conf`	Analysis of Novel Annotations in the Gene Ontology for Boosting the Selection of Negative Examples. ICBET Maryam Sepehri, Marco Frasca
2019	—	`conf`	Multitask Hopfield Networks. ECML/PKDD (2) Marco Frasca, Giuliano Grossi, Giorgio Valentini
2019	J	`jnl`	Multitask Hopfield Networks. CoRR Marco Frasca, Giuliano Grossi, Giorgio Valentini
2019	J	`jnl`	Multitask Protein Function Prediction through Task Dissimilarity. IEEE ACM Trans. Comput. Biol. Bioinform. Marco Frasca, Nicolò Cesa-Bianchi
2019	J	`jnl`	UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction. BMC Bioinform. Paolo Perlasca, Marco Frasca, Cheick Tidiane Ba, Marco Notaro, Alessandro Petrini, Elena Casiraghi, Giuliano Grossi, Jessica Gliozzo, Giorgio Valentini, Marco Mesiti
2018	J	`jnl`	A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks. BMC Bioinform. Marco Frasca, Giuliano Grossi, Jessica Gliozzo, Marco Mesiti, Marco Notaro, Paolo Perlasca, Alessandro Petrini, Giorgio Valentini
2018	—	`conf`	A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks. CIBB Cheick Tidiane Ba, Elena Casiraghi, Marco Frasca, Jessica Gliozzo, Giuliano Grossi, Marco Mesiti, Marco Notaro, Paolo Perlasca, Alessandro Petrini, Matteo Re, Giorgio Valentini
2018	J	`jnl`	A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sections. BMC Bioinform. Elena Casiraghi, Veronica Huber, Marco Frasca, Mara Cossa, Matteo Tozzi, Licia Rivoltini, Biagio Eugenio Leone, Antonello Villa, Barbara Vergani
2018	J	`jnl`	Analysis of Novel Annotations in the Gene Ontology for Boosting the Selection of Negative Examples. CoRR Maryam Sepehri, Marco Frasca
2018	J	`jnl`	Combining Cost-Sensitive Classification with Negative Selection for Protein Function Prediction. CoRR Marco Frasca, Nicolò Cesa-Bianchi
2018	—	`conf`	Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions. CIBB Marco Frasca, Maryam Sepehri, Alessandro Petrini, Giuliano Grossi, Giorgio Valentini
2018	J	`jnl`	Correction to: Evaluating the impact of topological protein features on the negative examples selection. BMC Bioinform. Paolo Boldi, Marco Frasca, Dario Malchiodi
2018	J	`jnl`	Evaluating the impact of topological protein features on the negative examples selection. BMC Bioinform. Paolo Boldi, Marco Frasca, Dario Malchiodi
2017	—	`conf`	Analysis of Informative Features for Negative Selection in Protein Function Prediction. IWBBIO (2) Marco Frasca, Fabio Lipreri, Dario Malchiodi
2017	J	`jnl`	COSNet: An R package for label prediction in unbalanced biological networks. Neurocomputing Marco Frasca, Giorgio Valentini
2017	—	`conf`	Disease-Genes Must Guide Data Source Integration in the Gene Prioritization Process. CIBB Marco Frasca, Jean-Fred Fontaine, Giorgio Valentini, Marco Mesiti, Marco Notaro, Dario Malchiodi, Miguel A. Andrade-Navarro
2017	—	`conf`	Ensembling Descendant Term Classifiers to Improve Gene - Abnormal Phenotype Predictions. CIBB Marco Notaro, Max Schubach, Marco Frasca, Marco Mesiti, Peter N. Robinson, Giorgio Valentini
2017	J	`jnl`	Gene2DisCo: Gene to disease using disease commonalities. Artif. Intell. Medicine Marco Frasca
2016	—	`conf`	Gene-Disease Prioritization Through Cost-Sensitive Graph-Based Methodologies. IWBBIO Marco Frasca, Simone Bassis
2016	J	`jnl`	Learning node labels with multi-category Hopfield networks. Neural Comput. Appl. Marco Frasca, Simone Bassis, Giorgio Valentini
2016	C	`conf`	Multi-species protein function prediction: towards web-based visual analytics. iiWAS Paolo Perlasca, Giorgio Valentini, Marco Frasca, Marco Mesiti
2016	J	`jnl`	Multitask Protein Function Prediction Through Task Dissimilarity. CoRR Marco Frasca, Nicolò Cesa-Bianchi
2016	—	`ch.`	Selection of Negative Examples for Node Label Prediction Through Fuzzy Clustering Techniques. Advances in Neural Networks Marco Frasca, Dario Malchiodi
2015	—	`conf`	A Hierarchical Ensemble Method for DAG-Structured Taxonomies. MCS Peter N. Robinson, Marco Frasca, Sebastian Köhler, Marco Notaro, Matteo Re, Giorgio Valentini
2015	J	`jnl`	Automated gene function prediction through gene multifunctionality in biological networks. Neurocomputing Marco Frasca
2015	J	`jnl`	UNIPred: Unbalance-Aware Network Integration and Prediction of Protein Functions. J. Comput. Biol. Marco Frasca, Alberto Bertoni, Giorgio Valentini
2014	J	`jnl`	GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology. Bioinform. Horacio Caniza, Alfonso E. Romero, Samuel Heron, Haixuan Yang, Alessandra Devoto, Marco Frasca, Marco Mesiti, Giorgio Valentini, Alberto Paccanaro
2013	J	`jnl`	A neural network algorithm for semi-supervised node label learning from unbalanced data. Neural Networks Marco Frasca, Alberto Bertoni, Matteo Re, Giorgio Valentini
2013	B	`conf`	A neural network based algorithm for gene expression prediction from chromatin structure. IJCNN Marco Frasca, Giulio Pavesi
2012	—	`conf`	A Neural Procedure for Gene Function Prediction. WIRN Marco Frasca, Alberto Bertoni, Andrea Sion
2011	J	`jnl`	A Mathematical Model for the Validation of Gene Selection Methods. IEEE ACM Trans. Comput. Biol. Bioinform. Marco Muselli, Alberto Bertoni, Marco Frasca, Alessandro Beghini, Francesca Ruffino, Giorgio Valentini
2011	—	`conf`	COSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in Graphs. ECML/PKDD (1) Alberto Bertoni, Marco Frasca, Giorgio Valentini
2010	—	`conf`	Learning functional linkage networks with a cost-sensitive approach. WIRN Alberto Bertoni, Marco Frasca, Giuliano Grossi, Giorgio Valentini