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ORCIDGiorgio Valentini
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2020 – today
- 2024
[j56]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:
Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests. Int. J. Medical Informatics 187: 105461 (2024)- [c55]Marco Nicolini, Dario Malchiodi, Alberto Cabri, Emanuele Cavalleri, Marco Mesiti, Alberto Paccanaro, Peter N. Robinson, Justin T. Reese, Elena Casiraghi, Giorgio Valentini:
Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins. BIOSTEC (1) 2024: 561-568 - [c54]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:
Initial achievements in relation extraction from RNA-focused scientific papers. SEBD 2024: 61-69 - [c53]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:
SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning. VLDB Workshops 2024 - 2023
- [j55]Guy Karlebach, Leigh Carmody, Jagadish Chandrabose Sundaramurthi, Elena Casiraghi, Peter Hansen, Justin T. Reese, Christopher J. Mungall, Giorgio Valentini, Peter N. Robinson:
An expectation-maximization framework for comprehensive prediction of isoform-specific functions. Bioinform. 39(4) (2023) - [j54]Giorgio Valentini, Dario Malchiodi, Jessica Gliozzo, Marco Mesiti, Mauricio Soto Gomez, Alberto Cabri, Justin T. Reese, Elena Casiraghi, Peter N. Robinson:
The promises of large language models for protein design and modeling. Frontiers Bioinform. 3 (2023) - [j53]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:
A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. J. Biomed. Informatics 139: 104295 (2023) - [j52]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:
GRAPE for fast and scalable graph processing and random-walk-based embedding. Nat. Comput. Sci. 3(6): 552-568 (2023) - [c52]Jessica Gliozzo, Alex Patak, Antonio Puertas Gallardo, Elena Casiraghi, Giorgio Valentini:
Patient Similarity Networks Integration for Partial Multimodal Datasets. BIOINFORMATICS 2023: 228-234 - [c51]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:
Intrinsic-Dimension Analysis for Guiding Dimensionality Reduction in Multi-Omics Data. BIOINFORMATICS 2023: 243-251 - [c50]Emanuele Cavalleri, Sara Bonfitto, Alberto Cabri, Jessica Gliozzo, Paolo Perlasca, Mauricio Soto Gomez, Gabriella Trucco, Elena Casiraghi, Giorgio Valentini, Marco Mesiti:
A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph. IWBBIO (1) 2023: 165-180 - [c49]Luca Cappelletti, Stefano Taverni, Tommaso Fontana, Marcin P. Joachimiak, Justin T. Reese, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini:
Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs. IWBBIO (2) 2023: 372-383 - [c48]Emanuele Cavalleri, Sara Bonfitto, Alberto Cabri, Jessica Gliozzo, Paolo Perlasca, Mauricio Soto Gomez, Gabriella Trucco, Elena Casiraghi, Giorgio Valentini, Marco Mesiti:
Towards the Construction of an RNA-centered Knowledge Graph. SEBD 2023: 173-180 - [i7]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:
An Open-Source Knowledge Graph Ecosystem for the Life Sciences. CoRR abs/2307.05727 (2023) - [i6]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:
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules. CoRR abs/2312.00183 (2023) - 2022
- [j51]Jessica Gliozzo, Marco Mesiti, Marco Notaro, Alessandro Petrini, Alex Patak, Antonio Puertas Gallardo, Alberto Paccanaro, Giorgio Valentini, Elena Casiraghi:
Heterogeneous data integration methods for patient similarity networks. Briefings Bioinform. 23(4) (2022) - [j50]Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini:
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques. BMC Bioinform. 23-S(2): 154 (2022) - [c47]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: 192-197 - [c46]Alessandro Petrini, Marco Notaro, Jessica Gliozzo, Tiziana Castrignanò, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini:
ParSMURF-NG: A Machine Learning High Performance Computing System for the Analysis of Imbalanced Big Omics Data. AIAI Workshops 2022: 424-435 - [i5]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:
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 abs/2206.06444 (2022) - 2021
- [j49]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): 4526-4533 (2021) - [j48]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:
Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence. J. Imaging 7(12): 258 (2021) - [c45]Sara Bonfitto, Luca Cappelletti, Elena Casiraghi, Paolo Perlasca, Fabrizio Trovato, Giorgio Valentini, Marco Mesiti:
A Web Tool for the Semantic Integration of Heterogeneous and Complex Spreadsheet Tables. SEBD 2021: 116-127 - [c44]Sara Bonfitto, Luca Cappelletti, Fabrizio Trovato, Giorgio Valentini, Marco Mesiti:
Semi-automatic Column Type Inference for CSV Table Understanding. SOFSEM 2021: 535-549 - [i4]Giorgio Valentini, Elena Casiraghi, Luca Cappelletti, Vida Ravanmehr, Tommaso Fontana, Justin T. Reese, Peter N. Robinson:
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding. CoRR abs/2101.01425 (2021) - [i3]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:
GraPE: fast and scalable Graph Processing and Embedding. CoRR abs/2110.06196 (2021) - 2020
- [j47]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: 196299-196325 (2020) - [j46]Luca Cappelletti, Tommaso Fontana, Guido Walter Di Donato, Lorenzo Di Tucci, Elena Casiraghi, Giorgio Valentini:
Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks - A Case Study on Genome Gap-Filling. Comput. 9(2): 37 (2020) - [j45]Sebastiano Vascon, Marco Frasca, Rocco Tripodi, Giorgio Valentini, Marcello Pelillo:
Protein function prediction as a graph-transduction game. Pattern Recognit. Lett. 134: 96-105 (2020) - [c43]Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini:
Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks. IWBBIO 2020: 600-612
2010 – 2019
- 2019
- [j44]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): 422:1-422:19 (2019) - [c42]Luca Cappelletti, Stefano Valtolina, Giorgio Valentini, Marco Mesiti, Elisa Bertino:
On the Quality of Classification Models for Inferring ABAC Policies from Access Logs. IEEE BigData 2019: 4000-4007 - [c41]Marco Frasca, Giuliano Grossi, Giorgio Valentini:
Multitask Hopfield Networks. ECML/PKDD (2) 2019: 349-365 - [i2]Marco Frasca, Giuliano Grossi, Giorgio Valentini:
Multitask Hopfield Networks. CoRR abs/1904.05098 (2019) - 2018
- [j43]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. 19-S(10): 269-280 (2018) - [c40]Marco Frasca, Maryam Sepehri, Alessandro Petrini, Giuliano Grossi, Giorgio Valentini:
Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions. CIBB 2018: 80-87 - [c39]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: 88-98 - 2017
- [j42]Marco Notaro, Max Schubach, Peter N. Robinson, Giorgio Valentini:
Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods. BMC Bioinform. 18(1): 449:1-449:18 (2017) - [j41]Marco Frasca, Giorgio Valentini:
COSNet: An R package for label prediction in unbalanced biological networks. Neurocomputing 237: 397-400 (2017) - [c38]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: 60-69 - [c37]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: 70-80 - 2016
- [j40]Giorgio Valentini, Giuliano Armano, Marco Frasca, Jianyi Lin, Marco Mesiti, Matteo Re:
RANKS: a flexible tool for node label ranking and classification in biological networks. Bioinform. 32(18): 2872-2874 (2016) - [j39]Marco Frasca, Simone Bassis, Giorgio Valentini:
Learning node labels with multi-category Hopfield networks. Neural Comput. Appl. 27(6): 1677-1692 (2016) - [c36]Jianyi Lin, Marco Mesiti, Matteo Re, Giorgio Valentini:
Within network learning on big graphs using secondary memory-based random walk kernels. COMPLEX NETWORKS 2016: 235-245 - [c35]Paolo Perlasca, Giorgio Valentini, Marco Frasca, Marco Mesiti:
Multi-species protein function prediction: towards web-based visual analytics. iiWAS 2016: 489-493 - 2015
- [j38]Marco Frasca, Alberto Bertoni, Giorgio Valentini:
UNIPred: Unbalance-Aware Network Integration and Prediction of Protein Functions. J. Comput. Biol. 22(12): 1057-1074 (2015) - [c34]Giorgio Valentini, Sebastian Köhler, Matteo Ré, Marco Notaro, Peter N. Robinson:
Prediction of Human Gene - Phenotype Associations by Exploiting the Hierarchical Structure of the Human Phenotype Ontology. IWBBIO (1) 2015: 66-77 - [c33]Peter N. Robinson, Marco Frasca, Sebastian Köhler, Marco Notaro, Matteo Re, Giorgio Valentini:
A Hierarchical Ensemble Method for DAG-Structured Taxonomies. MCS 2015: 15-26 - 2014
- [j37]Giorgio Valentini, Alberto Paccanaro, Horacio Caniza, Alfonso E. Romero, Matteo Re:
An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods. Artif. Intell. Medicine 61(2): 63-78 (2014) - [j36]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): 2235-2236 (2014) - [i1]Giorgio Valentini:
Notes on hierarchical ensemble methods for DAG-structured taxonomies. CoRR abs/1406.4472 (2014) - 2013
- [j35]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:
An overview of energy efficiency techniques in cluster computing systems. Clust. Comput. 16(1): 3-15 (2013) - [j34]Marco Frasca, Alberto Bertoni, Matteo Re, Giorgio Valentini:
A neural network algorithm for semi-supervised node label learning from unbalanced data. Neural Networks 43: 84-98 (2013) - [j33]Matteo Re, Giorgio Valentini:
Network-Based Drug Ranking and Repositioning with Respect to DrugBank Therapeutic Categories. IEEE ACM Trans. Comput. Biol. Bioinform. 10(6): 1359-1371 (2013) - [j32]Isabella Cattinelli, Giorgio Valentini, Eraldo Paulesu, N. Alberto Borghese:
A Novel Approach to the Problem of Non-uniqueness of the Solution in Hierarchical Clustering. IEEE Trans. Neural Networks Learn. Syst. 24(7): 1166-1173 (2013) - 2012
- [j31]Matteo Re, Giorgio Valentini:
Cancer module genes ranking using kernelized score functions. BMC Bioinform. 13(S-14): S3 (2012) - [j30]Nicolò Cesa-Bianchi, Matteo Re, Giorgio Valentini:
Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference. Mach. Learn. 88(1-2): 209-241 (2012) - [j29]Matteo Re, Marco Mesiti, Giorgio Valentini:
A Fast Ranking Algorithm for Predicting Gene Functions in Biomolecular Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 9(6): 1812-1818 (2012) - [j28]Patricia Ruiz, Bernabé Dorronsoro, Giorgio Valentini, Frédéric Pinel, Pascal Bouvry:
Optimisation of the enhanced distance based broadcasting protocol for MANETs. J. Supercomput. 62(3): 1213-1240 (2012) - [c32]Matteo Re, Giorgio Valentini:
Random Walking on Functional Interaction Networks to Rank Genes Involved in Cancer. AIAI (2) 2012: 66-75 - [c31]Matteo Re, Giorgio Valentini:
Large Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic Categories. ISBRA 2012: 225-236 - 2011
- [j27]Giorgio Valentini:
True Path Rule Hierarchical Ensembles for Genome-Wide Gene Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 8(3): 832-847 (2011) - [j26]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): 1385-1392 (2011) - [c30]Alberto Bertoni, Marco Frasca, Giorgio Valentini:
COSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in Graphs. ECML/PKDD (1) 2011: 219-234 - [c29]Alberto Bertoni, Matteo Re, Francesco Saccà, Giorgio Valentini:
Identification of promoter regions in genomic sequences by 1-dimensional constraint clustering. WIRN 2011: 162-169 - [p2]Alessandro Rozza, Gabriele Lombardi, Matteo Re, Elena Casiraghi, Giorgio Valentini, Paola Campadelli:
A Novel Ensemble Technique for Protein Subcellular Location Prediction. Ensembles in Machine Learning Applications 2011: 151-167 - [e2]Oleg Okun, Giorgio Valentini, Matteo Ré:
Ensembles in Machine Learning Applications. Studies in Computational Intelligence 373, Springer 2011, ISBN 978-3-642-22909-1 [contents] - 2010
- [j25]Giorgio Valentini, Cláudia J. Barenco Abbas, L. Javier García-Villalba, Luis Astorga:
Dynamic multi-objective routing algorithm: a multi-objective routing algorithm for the simple hybrid routing protocol on wireless sensor networks. IET Commun. 4(14): 1732-1741 (2010) - [j24]Matteo Re, Giorgio Valentini:
Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines. Neurocomputing 73(7-9): 1533-1537 (2010) - [j23]Matteo Re, Giorgio Valentini:
Noise tolerance of Multiple Classifier Systems in data integration-based gene function prediction. J. Integr. Bioinform. 7(3) (2010) - [c28]Matteo Re, Giorgio Valentini:
An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction. MCS 2010: 294-303 - [c27]Alberto Bertoni, Marco Frasca, Giuliano Grossi, Giorgio Valentini:
Learning functional linkage networks with a cost-sensitive approach. WIRN 2010: 52-61 - [c26]Nicolò Cesa-Bianchi, Giorgio Valentini:
Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction. MLSB 2010: 14-29 - [c25]Matteo Ré, Giorgio Valentini:
Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction. MLSB 2010: 98-111
2000 – 2009
- 2009
- [j22]Giorgio Valentini, Roberto Tagliaferri, Francesco Masulli:
Computational intelligence and machine learning in bioinformatics. Artif. Intell. Medicine 45(2-3): 91-96 (2009) - [j21]Roberto Avogadri, Giorgio Valentini:
Fuzzy ensemble clustering based on random projections for DNA microarray data analysis. Artif. Intell. Medicine 45(2-3): 173-183 (2009) - [j20]Marco Mesiti, Ernesto Jiménez-Ruiz, Ismael Sanz, Rafael Berlanga Llavori, Paolo Perlasca, Giorgio Valentini, David Manset:
XML-based approaches for the integration of heterogeneous bio-molecular data. BMC Bioinform. 10(S-12): 7 (2009) - [j19]Roberto Avogadri, Matteo Brioschi, Fulvia Ferrazzi, Matteo Re, Alessandro Beghini, Giorgio Valentini:
A stability-based algorithm to validate hierarchical clusters of genes. Int. J. Knowl. Eng. Soft Data Paradigms 1(4): 318-330 (2009) - [j18]Giulio Pavesi, Giorgio Valentini:
Classification of co-expressed genes from DNA regulatory regions. Inf. Fusion 10(3): 233-241 (2009) - [c24]Giorgio Valentini:
True Path Rule Hierarchical Ensembles. MCS 2009: 232-241 - [c23]Matteo Re, Giorgio Valentini:
Ensemble Based Data Fusion for Gene Function Prediction. MCS 2009: 448-457 - [c22]Matteo Re, Giorgio Valentini:
Comparing early and late data fusion methods for gene function prediction. WIRN 2009: 197-207 - [p1]Matteo Re, Giorgio Valentini:
Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources. Applications of Supervised and Unsupervised Ensemble Methods 2009: 79-91 - [e1]Oleg Okun, Giorgio Valentini:
Applications of Supervised and Unsupervised Ensemble Methods. Studies in Computational Intelligence 245, Springer 2009, ISBN 978-3-642-03998-0 [contents] - 2008
- [j17]Giorgio Valentini, Nicolò Cesa-Bianchi:
HCGene: a software tool to support the hierarchical classification of genes. Bioinform. 24(5): 729-731 (2008) - [j16]Alberto Bertoni, Giorgio Valentini:
Discovering multi-level structures in bio-molecular data through the Bernstein inequality. BMC Bioinform. 9(S-2) (2008) - [j15]Francesca Ruffino, Marco Muselli, Giorgio Valentini:
Gene expression modeling through positive boolean functions. Int. J. Approx. Reason. 47(1): 97-108 (2008) - [c21]Alberto Bertoni, Giorgio Valentini:
Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data. CIBB 2008: 25-43 - [c20]Oleg Okun, Giorgio Valentini:
Dataset complexity can help to generate accurate ensembles of k-nearest neighbors. IJCNN 2008: 450-457 - [c19]Roberto Avogadri, Matteo Brioschi, Francesca Ruffino, Fulvia Ferrazzi, Alessandro Beghini, Giorgio Valentini:
An Algorithm to Assess the Reliability of Hierarchical Clusters in Gene Expression Data. KES (3) 2008: 764-770 - [c18]Alberto Bertoni, Raffaella Folgieri, Giorgio Valentini:
Classification of DNA microarray data with Random Projection Ensembles of Polynomial SVMs. WIRN 2008: 60-66 - 2007
- [j14]Giorgio Valentini:
Mosclust: a software library for discovering significant structures in bio-molecular data. Bioinform. 23(3): 387-389 (2007) - [j13]Alberto Bertoni, Giorgio Valentini:
Model order selection for bio-molecular data clustering. BMC Bioinform. 8(S-2) (2007) - [c17]Alberto Bertoni, Giorgio Valentini:
Discovering Significant Structures in Clustered Bio-molecular Data Through the Bernstein Inequality. KES (3) 2007: 886-891 - [c16]Roberto Avogadri, Giorgio Valentini:
Fuzzy Ensemble Clustering for DNA Microarray Data Analysis. WILF 2007: 537-543 - 2006
- [j12]Alberto Bertoni, Giorgio Valentini:
Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses. Artif. Intell. Medicine 37(2): 85-109 (2006) - [j11]Giorgio Valentini:
Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data. Bioinform. 22(3): 369-370 (2006) - [j10]Giorgio Valentini, Francesca Ruffino:
Characterization of lung tumor subtypes through gene expression cluster validity assessment. RAIRO Theor. Informatics Appl. 40(2): 163-176 (2006) - 2005
- [j9]Alberto Bertoni, Raffaella Folgieri, Giorgio Valentini:
Bio-molecular cancer prediction with random subspace ensembles of support vector machines. Neurocomputing 63: 535-539 (2005) - [j8]Paola Campadelli, Elena Casiraghi, Giorgio Valentini:
Support vector machines for candidate nodules classification. Neurocomputing 68: 281-288 (2005) - [j7]Giorgio Valentini:
An experimental bias-variance analysis of SVM ensembles based on resampling techniques. IEEE Trans. Syst. Man Cybern. Part B 35(6): 1252-1271 (2005) - [c15]Paola Campadelli, Elena Casiraghi, Giorgio Valentini:
Lung nodules detection and classification. ICIP (1) 2005: 1117-1120 - [c14]Francesca Ruffino, Marco Muselli, Giorgio Valentini:
Biological Specifications for a Synthetic Gene Expression Data Generation Model. WILF 2005: 277-283 - [c13]Alberto Bertoni, Giorgio Valentini:
Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms. WIRN/NAIS 2005: 31-37 - 2004
- [j6]Giorgio Valentini, Marco Muselli, Francesca Ruffino:
Cancer recognition with bagged ensembles of support vector machines. Neurocomputing 56: 461-466 (2004) - [j5]Francesco Masulli, Giorgio Valentini:
An experimental analysis of the dependence among codeword bit errors in ECOC learning machines. Neurocomputing 57: 189-214 (2004) - [j4]Giorgio Valentini, Thomas G. Dietterich:
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods. J. Mach. Learn. Res. 5: 725-775 (2004) - [j3]Francesco Masulli, Giorgio Valentini:
Effectiveness of error correcting output coding methods in ensemble and monolithic learning machines. Pattern Anal. Appl. 6(4): 285-300 (2004) - [c12]Giorgio Valentini:
Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias?Variance Analysis. Multiple Classifier Systems 2004: 263-272 - [c11]Alberto Bertoni, Raffaella Folgieri, Giorgio Valentini:
Feature Selection Combined with Random Subspace Ensemble for Gene Expression Based Diagnosis of Malignancies. WIRN 2004: 29-35 - 2003
- [b1]Giorgio Valentini:
Ensemble methods based on bias-variance analysis. University of Genoa, Italy, 2003 - [c10]Giorgio Valentini, Thomas G. Dietterich:
Low Bias Bagged Support Vector Machines. ICML 2003: 752-759 - [c9]Giorgio Valentini:
An Application of Low Bias Bagged SVMs to the Classification of Heterogeneous Malignant Tissues. WIRN 2003: 316-321 - 2002
- [j2]Giorgio Valentini:
Gene expression data analysis of human lymphoma using support vector machines and output coding ensembles. Artif. Intell. Medicine 26(3): 281-304 (2002) - [j1]Giorgio Valentini, Francesco Masulli:
NEURObjects: an object-oriented library for neural network development. Neurocomputing 48(1-4): 623-646 (2002) - [c8]Giorgio Valentini, Thomas G. Dietterich:
Bias-Variance Analysis and Ensembles of SVM. Multiple Classifier Systems 2002: 222-231 - [c7]Francesco Masulli, Matteo Pardo, Giorgio Sberveglieri, Giorgio Valentini:
Boosting and Classification of Electronic Nose Data. Multiple Classifier Systems 2002: 262-271 - [c6]Giorgio Valentini, Francesco Masulli:
Ensembles of Learning Machines. WIRN 2002: 3-22 - 2001
- [c5]Francesco Masulli, Giorgio Valentini:
Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis. Multiple Classifier Systems 2001: 158-167 - 2000
- [c4]Francesco Masulli, Giorgio Valentini:
Parallel Non Linear Dichotomizers. IJCNN (2) 2000: 29-36 - [c3]Francesco Masulli, Giorgio Valentini:
Comparing decomposition methods for classification. KES 2000: 788-791 - [c2]Francesco Masulli, Giorgio Valentini:
Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems. Multiple Classifier Systems 2000: 107-116
1990 – 1999
- 1999
- [c1]Giorgio Valentini, Francesco Masulli:
NEURObjects: A Set of Library Classes for Neural Networks Development. IIA/SOCO 1999
Coauthor Index
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