Giorgio Valentini

132 papers A* 1B 6C 2Journal 66Unranked 52

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computational understanding of non-coding RNA pairwise interactions. Frontiers Artif. Intell. Marco Nicolini, Federico Stacchietti, Elena Casiraghi, Giorgio Valentini
2026	J	`jnl`	Interpreting Manifolds and Graph Neural Embeddings from Internet of Things Traffic Flows. CoRR Enrique Feito-Casares, Francisco Manuel Melgarejo-Meseguer, Elena Casiraghi, Giorgio Valentini, José Luis Rojo-Álvarez
2025	—	`conf`	A Transformer-Based Model to Predict Micro RNA Interactions. IWANN (1) Marco Nicolini, Federico Stacchietti, Carlos Cano, Elena Casiraghi, Giorgio Valentini
2025	C	`conf`	An Empirical Study of Remote Homology Detection using Protein Language Models. CLEI Ruben Jimenez, Aldo Galeano, Marcelo Báez, Santiago Ferreyra, Guilherme Melo, Giorgio Valentini, Elena Casiraghi, Luca Cernuzzi, Alberto Paccanaro
2025	B	`conf`	Biasing second-order random walk sampling for heterogeneous graph embedding IJCNN Mauricio Soto Gomez, Carlos Cano, Justin T. Reese, Peter N. Robinson, Giorgio Valentini, Elena Casiraghi
2025	J	`jnl`	Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing. Artif. Intell. Medicine Jessica Gliozzo, Mauricio Soto Gomez, Valentina Guarino, Arturo Bonometti, Alberto Cabri, Emanuele Cavalleri, Justin T. Reese, Peter N. Robinson, Marco Mesiti, Giorgio Valentini, Elena Casiraghi
2025	—	`conf`	Modular Deep Neural Networks with Residual Connections for Predicting the Pathogenicity of Genetic Variants in Non Coding Genomic Regions. IWANN (1) Federico Stacchietti, Marco Nicolini, Leonardo Chimirri, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini
2025	J	`jnl`	miss-SNF: a multimodal patient similarity network integration approach to handle completely missing data sources. Bioinform. Jessica Gliozzo, Mauricio Soto Gomez, Arturo Bonometti, Alex Patak, Elena Casiraghi, Giorgio Valentini
2024	—	`conf`	Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins. BIOSTEC (1) Marco Nicolini, Dario Malchiodi, Alberto Cabri, Emanuele Cavalleri, Marco Mesiti, Alberto Paccanaro, Peter N. Robinson, Justin T. Reese, Elena Casiraghi, Giorgio Valentini
2024	—	`conf`	Initial achievements in relation extraction from RNA-focused scientific papers. SEBD Emanuele Cavalleri, Mauricio Soto Gomez, Ali Pashaeibarough, Dario Malchiodi, J. Harry Caufield, Justin T. Reese, Christopher J. Mungall, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti
2024	J	`jnl`	Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests. Int. J. Medical Informatics Lauren E. Chan, Elena Casiraghi, Justin T. Reese, Quaker E. Harmon, Kevin Schaper, Harshad Hegde, Giorgio Valentini, Charles Schmitt, Alison A. Motsinger-Reif, Janet E. Hall, Christopher J. Mungall, Peter N. Robinson, Melissa A. Haendel
2024	—	`conf`	SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning. VLDB Workshops Emanuele Cavalleri, Mauricio Soto Gomez, Ali Pashaeibarough, Dario Malchiodi, J. Harry Caufield, Justin T. Reese, Chris Mungall, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti
2023	—	`conf`	A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph. IWBBIO (1) Emanuele Cavalleri, Sara Bonfitto, Alberto Cabri, Jessica Gliozzo, Paolo Perlasca, Mauricio Soto Gomez, Gabriella Trucco, Elena Casiraghi, Giorgio Valentini, Marco Mesiti
2023	J	`jnl`	A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. J. Biomed. Informatics Elena Casiraghi, Rachel Wong, Margaret Hall, Ben D. Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins
2023	J	`jnl`	An Open-Source Knowledge Graph Ecosystem for the Life Sciences. CoRR Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya Bathla Taneja, Jordan M. Wyrwa, Elena Casiraghi, Nicolas A. Matentzoglu, Justin T. Reese, Jonathan C. Silverstein, Charles Tapley Hoyt, Richard D. Boyce, Scott A. Malec, Deepak R. Unni, Marcin P. Joachimiak, Peter N. Robinson, Christopher J. Mungall, Emanuele Cavalleri, Tommaso Fontana, Giorgio Valentini, Marco Mesiti, Lucas A. Gillenwater, Brook E. Santangelo, Nicole A. Vasilevsky, Robert Hoehndorf, Tellen D. Bennett, Patrick B. Ryan, George Hripcsak, Michael G. Kahn, Michael Bada, William A. Baumgartner Jr., Lawrence E. Hunter
2023	J	`jnl`	An expectation-maximization framework for comprehensive prediction of isoform-specific functions. Bioinform. Guy Karlebach, Leigh Carmody, Jagadish Chandrabose Sundaramurthi, Elena Casiraghi, Peter Hansen, Justin T. Reese, Christopher J. Mungall, Giorgio Valentini, Peter N. Robinson
2023	—	`conf`	Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs. IWBBIO (2) Luca Cappelletti, Stefano Taverni, Tommaso Fontana, Marcin P. Joachimiak, Justin T. Reese, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini
2023	J	`jnl`	GRAPE for fast and scalable graph processing and random-walk-based embedding. Nat. Comput. Sci. Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Carlos Cano, Marcin P. Joachimiak, Christopher J. Mungall, Peter N. Robinson, Justin T. Reese, Giorgio Valentini
2023	—	`conf`	Intrinsic-Dimension Analysis for Guiding Dimensionality Reduction in Multi-Omics Data. BIOINFORMATICS Valentina Guarino, Jessica Gliozzo, Ferdinando Clarelli, Béatrice Pignolet, Kaalindi Misra, Elisabetta Mascia, Giordano Antonino, Silvia Santoro, Laura Ferré, Miryam Cannizzaro, Melissa Sorosina, Roland Liblau, Massimo Filippi, Ettore Mosca, Federica Esposito, Giorgio Valentini, Elena Casiraghi
2023	—	`conf`	Patient Similarity Networks Integration for Partial Multimodal Datasets. BIOINFORMATICS Jessica Gliozzo, Alex Patak, Antonio Puertas Gallardo, Elena Casiraghi, Giorgio Valentini
2023	J	`jnl`	RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules. CoRR Emanuele Cavalleri, Alberto Cabri, Mauricio Soto Gomez, Sara Bonfitto, Paolo Perlasca, Jessica Gliozzo, Tiffany J. Callahan, Justin T. Reese, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti
2023	J	`jnl`	The promises of large language models for protein design and modeling. Frontiers Bioinform. Giorgio Valentini, Dario Malchiodi, Jessica Gliozzo, Marco Mesiti, Mauricio Soto Gomez, Alberto Cabri, Justin T. Reese, Elena Casiraghi, Peter N. Robinson
2023	—	`conf`	Towards the Construction of an RNA-centered Knowledge Graph. SEBD Emanuele Cavalleri, Sara Bonfitto, Alberto Cabri, Jessica Gliozzo, Paolo Perlasca, Mauricio Soto Gomez, Gabriella Trucco, Elena Casiraghi, Giorgio Valentini, Marco Mesiti
2022	J	`jnl`	Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques. BMC Bioinform. Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini
2022	J	`jnl`	Heterogeneous data integration methods for patient similarity networks. Briefings Bioinform. Jessica Gliozzo, Marco Mesiti, Marco Notaro, Alessandro Petrini, Alex Patak, Antonio Puertas Gallardo, Alberto Paccanaro, Giorgio Valentini, Elena Casiraghi
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	—	`conf`	ParSMURF-NG: A Machine Learning High Performance Computing System for the Analysis of Imbalanced Big Omics Data. AIAI (Workshops) Alessandro Petrini, Marco Notaro, Jessica Gliozzo, Tiziana Castrignanò, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini
2022	J	`jnl`	Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski: A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative. CoRR Elena Casiraghi, Rachel Wong, Margaret Hall, Ben D. Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins
2021	—	`conf`	A Web Tool for the Semantic Integration of Heterogeneous and Complex Spreadsheet Tables. SEBD Sara Bonfitto, Luca Cappelletti, Elena Casiraghi, Paolo Perlasca, Fabrizio Trovato, Giorgio Valentini, Marco Mesiti
2021	J	`jnl`	Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence. J. Imaging Alice Scarabelli, Massimo Zilocchi, Elena Casiraghi, Pierangelo Fasani, Guido Giovanni Plensich, Alessandro Andrea Esposito, Elvira Stellato, Alessandro Petrini, Justin T. Reese, Peter N. Robinson, Giorgio Valentini, Gianpaolo Carrafiello
2021	J	`jnl`	GraPE: fast and scalable Graph Processing and Embedding. CoRR Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Marcin P. Joachimiak, Christopher J. Mungall, Peter N. Robinson, Justin T. Reese, Giorgio Valentini
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`	Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding. CoRR Giorgio Valentini, Elena Casiraghi, Luca Cappelletti, Vida Ravanmehr, Tommaso Fontana, Justin T. Reese, Peter N. Robinson
2021	B	`conf`	Semi-automatic Column Type Inference for CSV Table Understanding. SOFSEM Sara Bonfitto, Luca Cappelletti, Fabrizio Trovato, Giorgio Valentini, Marco Mesiti
2020	—	`conf`	Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks. IWBBIO Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini
2020	J	`jnl`	Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks - A Case Study on Genome Gap-Filling. Comput. Luca Cappelletti, Tommaso Fontana, Guido Walter Di Donato, Lorenzo Di Tucci, Elena Casiraghi, Giorgio Valentini
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`	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	—	`conf`	On the Quality of Classification Models for Inferring ABAC Policies from Access Logs. IEEE BigData Luca Cappelletti, Stefano Valtolina, Giorgio Valentini, Marco Mesiti, Elisa Bertino
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	—	`conf`	Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions. CIBB Marco Frasca, Maryam Sepehri, Alessandro Petrini, Giuliano Grossi, Giorgio Valentini
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`	Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods. BMC Bioinform. Marco Notaro, Max Schubach, Peter N. Robinson, Giorgio Valentini
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	—	`conf`	Within network learning on big graphs using secondary memory-based random walk kernels. COMPLEX NETWORKS Jianyi Lin, Marco Mesiti, Matteo Re, Giorgio Valentini
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	—	`conf`	Prediction of Human Gene - Phenotype Associations by Exploiting the Hierarchical Structure of the Human Phenotype Ontology. IWBBIO (1) Giorgio Valentini, Sebastian Köhler, Matteo Ré, Marco Notaro, Peter N. Robinson
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`	An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods. Artif. Intell. Medicine Giorgio Valentini, Alberto Paccanaro, Horacio Caniza, Alfonso E. Romero, Matteo Re
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
2014	J	`jnl`	Notes on hierarchical ensemble methods for DAG-structured taxonomies. CoRR Giorgio Valentini
2013	J	`jnl`	A Novel Approach to the Problem of Non-uniqueness of the Solution in Hierarchical Clustering. IEEE Trans. Neural Networks Learn. Syst. Isabella Cattinelli, Giorgio Valentini, Eraldo Paulesu, N. Alberto Borghese
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	J	`jnl`	An overview of energy efficiency techniques in cluster computing systems. Clust. Comput. Giorgio Valentini, Walter Lassonde, Samee Ullah Khan, Nasro Min-Allah, Sajjad Ahmad Madani, Juan Li, Limin Zhang, Lizhe Wang, Nasir Ghani, Joanna Kolodziej, Hongxiang Li, Albert Y. Zomaya, Cheng-Zhong Xu, Pavan Balaji, Abhinav Vishnu, Frédéric Pinel, Johnatan E. Pecero, Dzmitry Kliazovich, Pascal Bouvry
2013	J	`jnl`	Network-Based Drug Ranking and Repositioning with Respect to DrugBank Therapeutic Categories. IEEE ACM Trans. Comput. Biol. Bioinform. Matteo Re, Giorgio Valentini
2012	J	`jnl`	A Fast Ranking Algorithm for Predicting Gene Functions in Biomolecular Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Matteo Re, Marco Mesiti, Giorgio Valentini
2012	J	`jnl`	Cancer module genes ranking using kernelized score functions. BMC Bioinform. Matteo Re, Giorgio Valentini
2012	—	`conf`	Large Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic Categories. ISBRA Matteo Re, Giorgio Valentini
2012	J	`jnl`	Optimisation of the enhanced distance based broadcasting protocol for MANETs. J. Supercomput. Patricia Ruiz, Bernabé Dorronsoro, Giorgio Valentini, Frédéric Pinel, Pascal Bouvry
2012	—	`conf`	Random Walking on Functional Interaction Networks to Rank Genes Involved in Cancer. AIAI (2) Matteo Re, Giorgio Valentini
2012	J	`jnl`	Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference. Mach. Learn. Nicolò Cesa-Bianchi, Matteo Re, Giorgio Valentini
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	—	`ch.`	A Novel Ensemble Technique for Protein Subcellular Location Prediction. Ensembles in Machine Learning Applications Alessandro Rozza, Gabriele Lombardi, Matteo Re, Elena Casiraghi, Giorgio Valentini, Paola Campadelli
2011	—	`conf`	COSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in Graphs. ECML/PKDD (1) Alberto Bertoni, Marco Frasca, Giorgio Valentini
2011	—	`book`	Ensembles in Machine Learning Applications Oleg Okun, Giorgio Valentini, Matteo Ré
2011	—	`conf`	Identification of promoter regions in genomic sequences by 1-dimensional constraint clustering. WIRN Alberto Bertoni, Matteo Re, Francesco Saccà, Giorgio Valentini
2011	J	`jnl`	True Path Rule Hierarchical Ensembles for Genome-Wide Gene Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Giorgio Valentini
2010	—	`conf`	An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction. MCS Matteo Re, Giorgio Valentini
2010	J	`jnl`	Dynamic multi-objective routing algorithm: a multi-objective routing algorithm for the simple hybrid routing protocol on wireless sensor networks. IET Commun. Giorgio Valentini, Cláudia J. Barenco Abbas, L. Javier García-Villalba, Luis Astorga
2010	—	`conf`	Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction. MLSB Nicolò Cesa-Bianchi, Giorgio Valentini
2010	J	`jnl`	Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines. Neurocomputing Matteo Re, Giorgio Valentini
2010	—	`conf`	Learning functional linkage networks with a cost-sensitive approach. WIRN Alberto Bertoni, Marco Frasca, Giuliano Grossi, Giorgio Valentini
2010	J	`jnl`	Noise tolerance of Multiple Classifier Systems in data integration-based gene function prediction. J. Integr. Bioinform. Matteo Re, Giorgio Valentini
2010	—	`conf`	Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction. MLSB Matteo Ré, Giorgio Valentini
2009	J	`jnl`	A stability-based algorithm to validate hierarchical clusters of genes. Int. J. Knowl. Eng. Soft Data Paradigms Roberto Avogadri, Matteo Brioschi, Fulvia Ferrazzi, Matteo Re, Alessandro Beghini, Giorgio Valentini
2009	—	`book`	Applications of Supervised and Unsupervised Ensemble Methods Applications of Supervised and Unsupervised Ensemble Methods Oleg Okun, Giorgio Valentini
2009	J	`jnl`	Classification of co-expressed genes from DNA regulatory regions. Inf. Fusion Giulio Pavesi, Giorgio Valentini
2009	—	`conf`	Comparing early and late data fusion methods for gene function prediction. WIRN Matteo Re, Giorgio Valentini
2009	J	`jnl`	Computational intelligence and machine learning in bioinformatics. Artif. Intell. Medicine Giorgio Valentini, Roberto Tagliaferri, Francesco Masulli
2009	—	`conf`	Ensemble Based Data Fusion for Gene Function Prediction. MCS Matteo Re, Giorgio Valentini
2009	J	`jnl`	Fuzzy ensemble clustering based on random projections for DNA microarray data analysis. Artif. Intell. Medicine Roberto Avogadri, Giorgio Valentini
2009	—	`ch.`	Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources. Applications of Supervised and Unsupervised Ensemble Methods Matteo Re, Giorgio Valentini
2009	—	`conf`	True Path Rule Hierarchical Ensembles. MCS Giorgio Valentini
2009	J	`jnl`	XML-based approaches for the integration of heterogeneous bio-molecular data. BMC Bioinform. Marco Mesiti, Ernesto Jiménez-Ruiz, Ismael Sanz, Rafael Berlanga Llavori, Paolo Perlasca, Giorgio Valentini, David Manset
2008	—	`conf`	An Algorithm to Assess the Reliability of Hierarchical Clusters in Gene Expression Data. KES (3) Roberto Avogadri, Matteo Brioschi, Francesca Ruffino, Fulvia Ferrazzi, Alessandro Beghini, Giorgio Valentini
2008	—	`conf`	Classification of DNA microarray data with Random Projection Ensembles of Polynomial SVMs. WIRN Alberto Bertoni, Raffaella Folgieri, Giorgio Valentini
2008	B	`conf`	Dataset complexity can help to generate accurate ensembles of k-nearest neighbors. IJCNN Oleg Okun, Giorgio Valentini
2008	J	`jnl`	Discovering multi-level structures in bio-molecular data through the Bernstein inequality. BMC Bioinform. Alberto Bertoni, Giorgio Valentini
2008	J	`jnl`	Gene expression modeling through positive boolean functions. Int. J. Approx. Reason. Francesca Ruffino, Marco Muselli, Giorgio Valentini
2008	J	`jnl`	HCGene: a software tool to support the hierarchical classification of genes. Bioinform. Giorgio Valentini, Nicolò Cesa-Bianchi
2008	—	`conf`	Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data. CIBB Alberto Bertoni, Giorgio Valentini
2007	—	`conf`	Discovering Significant Structures in Clustered Bio-molecular Data Through the Bernstein Inequality. KES (3) Alberto Bertoni, Giorgio Valentini
2007	—	`conf`	Fuzzy Ensemble Clustering for DNA Microarray Data Analysis. WILF Roberto Avogadri, Giorgio Valentini
2007	J	`jnl`	Model order selection for bio-molecular data clustering. BMC Bioinform. Alberto Bertoni, Giorgio Valentini
2007	J	`jnl`	Mosclust: a software library for discovering significant structures in bio-molecular data. Bioinform. Giorgio Valentini
2006	J	`jnl`	Characterization of lung tumor subtypes through gene expression cluster validity assessment. RAIRO Theor. Informatics Appl. Giorgio Valentini, Francesca Ruffino
2006	J	`jnl`	Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data. Bioinform. Giorgio Valentini
2006	J	`jnl`	Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses. Artif. Intell. Medicine Alberto Bertoni, Giorgio Valentini
2005	J	`jnl`	An experimental bias-variance analysis of SVM ensembles based on resampling techniques. IEEE Trans. Syst. Man Cybern. Part B Giorgio Valentini
2005	J	`jnl`	Bio-molecular cancer prediction with random subspace ensembles of support vector machines. Neurocomputing Alberto Bertoni, Raffaella Folgieri, Giorgio Valentini
2005	—	`conf`	Biological Specifications for a Synthetic Gene Expression Data Generation Model. WILF Francesca Ruffino, Marco Muselli, Giorgio Valentini
2005	—	`conf`	Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms. WIRN/NAIS Alberto Bertoni, Giorgio Valentini
2005	—	`conf`	Lung nodules detection and classification. ICIP (1) Paola Campadelli, Elena Casiraghi, Giorgio Valentini
2005	B	`conf`	Random projections for assessing gene expression cluster stability. IJCNN Alberto Bertoni, Giorgio Valentini
2005	J	`jnl`	Support vector machines for candidate nodules classification. Neurocomputing Paola Campadelli, Elena Casiraghi, Giorgio Valentini
2004	J	`jnl`	An experimental analysis of the dependence among codeword bit errors in ECOC learning machines. Neurocomputing Francesco Masulli, Giorgio Valentini
2004	J	`jnl`	Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods. J. Mach. Learn. Res. Giorgio Valentini, Thomas G. Dietterich
2004	J	`jnl`	Cancer recognition with bagged ensembles of support vector machines. Neurocomputing Giorgio Valentini, Marco Muselli, Francesca Ruffino
2004	J	`jnl`	Effectiveness of error correcting output coding methods in ensemble and monolithic learning machines. Pattern Anal. Appl. Francesco Masulli, Giorgio Valentini
2004	—	`conf`	Feature Selection Combined with Random Subspace Ensemble for Gene Expression Based Diagnosis of Malignancies. WIRN Alberto Bertoni, Raffaella Folgieri, Giorgio Valentini
2004	—	`conf`	Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias?Variance Analysis. Multiple Classifier Systems Giorgio Valentini
2003	—	`conf`	An Application of Low Bias Bagged SVMs to the Classification of Heterogeneous Malignant Tissues. WIRN Giorgio Valentini
2003	B	`conf`	Bagged ensembles of Support Vector Machines for gene expression data analysis. IJCNN Giorgio Valentini, Marco Muselli, Francesca Ruffino
2003	—	`—`	Ensemble methods based on bias-variance analysis. Giorgio Valentini
2003	A*	`conf`	Low Bias Bagged Support Vector Machines. ICML Giorgio Valentini, Thomas G. Dietterich
2002	—	`conf`	Bias-Variance Analysis and Ensembles of SVM. Multiple Classifier Systems Giorgio Valentini, Thomas G. Dietterich
2002	—	`conf`	Boosting and Classification of Electronic Nose Data. Multiple Classifier Systems Francesco Masulli, Matteo Pardo, Giorgio Sberveglieri, Giorgio Valentini
2002	—	`conf`	Ensembles of Learning Machines. WIRN Giorgio Valentini, Francesco Masulli
2002	J	`jnl`	Gene expression data analysis of human lymphoma using support vector machines and output coding ensembles. Artif. Intell. Medicine Giorgio Valentini
2002	J	`jnl`	NEURObjects: an object-oriented library for neural network development. Neurocomputing Giorgio Valentini, Francesco Masulli
2001	—	`conf`	Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis. Multiple Classifier Systems Francesco Masulli, Giorgio Valentini
2000	B	`conf`	Comparing decomposition methods for classification. KES Francesco Masulli, Giorgio Valentini
2000	—	`conf`	Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems. Multiple Classifier Systems Francesco Masulli, Giorgio Valentini
2000	—	`conf`	Parallel Non Linear Dichotomizers. IJCNN (2) Francesco Masulli, Giorgio Valentini
1999	—	`conf`	NEURObjects: A Set of Library Classes for Neural Networks Development. IIA/SOCO Giorgio Valentini, Francesco Masulli