PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Giorgio Valentini

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Number of EPrints submitted by this user: 85

An experimental bias-variance analysis of SVM ensembles based on resampling techniques
Giorgio Valentini
IEEE Transactions on Systems, Man and Cybernetics, Part B Cybernetics Volume 35, Number 6, pp. 1252-1271, 2005. ISSN 1083-4419

Support Vector Machines for candidate nodules classification
Paola Campadelli, Elena Casiraghi and Giorgio Valentini
Neurocomputing Volume 68, pp. 281-288, 2005.

Biological specifications for a synthetic gene expression data generation model
Francesca Ruffino, Marco Muselli and Giorgio Valentini
In: Computational Intelligence Methods for Bioinformatics and Biostatistics Lecture Notes on Computer Science (3849). (2005) Springer .

Lung nodules detection and classification
Paola Campadelli, Elena Casiraghi and Giorgio Valentini
In: ICIP 05, The IEEE International Conference on Image Processing, Genova, Italy(2005).

Random projections for assessing gene expression cluster stability
Alberto Bertoni and Giorgio Valentini
In: IJCNN2005, The IEEE-INNS International Joint Conference on Neural Networks, 31 Jul - 04 Aug 2005, Montreal, Canada.

Evaluation of gene selection methods through artificial and real-world data concerning DNA microarray experiments
Francesca Ruffino, Giorgio Valentini and Marco Muselli
In: BITS 2005, 17-19 Mar 2005, Milano, Italy.

Assessment of clusters reliability for high dimensional genomic data
Alberto Bertoni, Raffaella Folgieri and Giorgio Valentini
In: BITS 2005, 17-19 Mar 2005, Milano, Italy.

Bio-molecular cancer prediction with random subspace ensembles of Support Vector Machines
Alberto Bertoni, Raffaella Folgieri and Giorgio Valentini
Neurocomputing Volume 63, pp. 535-539, 2005.

Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data
Giorgio Valentini
Bioinformatics Volume 22, Number 3, pp. 369-370, 2006.

Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses
Alberto Bertoni and Giorgio Valentini
Artificial Intelligence in Medicine Volume 37, Number 2, pp. 85-109, 2006.

Model order selection for clustered bio-molecular data
Alberto Bertoni and Giorgio Valentini
In: Probabilistic Modeling and Machine Learning in Structural and Systems Biology, 17-18 June 2006, Tuusula, Finland.

Characterization of Lung tumor subtypes through gene expression cluster validity assessment
Giorgio Valentini and Francesca Ruffino
RAIRO - Theoretical Informatics and Applications Volume 40, pp. 163-176, 2006.

Gene expression modeling through positive Boolean functions
Francesca Ruffino, Marco Muselli and Giorgio Valentini
International Journal of Approximate Reasoning 2006.

Ensembles based on random projections to improve the accuracy of clustering algorithms
Alberto Bertoni and Giorgio Valentini
In: Neural Nets Lecture Notes in Computer Science , 3931 . (2006) Springer , Berlin , pp. 31-37.

BICA and Random Subspace ensembles for DNA microarray-based diagnosis
B. Apolloni, G. Valentini and A. Brega
In: Applied Artificial Intelligence - Proc. of the 7th International FLINS Conference (2006) World Scientific .

Motif Based Classification of Coregulated Genes
G. Pavesi, Giorgio Valentini, G. Mauri, and G. Pesole
In: BITS 2006, Bologna, Italy(2006).

Modeling gene expression data via positive Boolean functions
F. Ruffino, M. Muselli and G. Valentini
In: NETTAB 2006 workshop on Distributed Applications, Web Services, Tools and GRID Infrastructures for Bioinformatics, S. Margherita di Pula (CA), Italy(2006).

Discovering multi-level structures in bio-molecular data through the Bernstein inequality
Alberto Bertoni and Giorgio Valentini
BMC Bioinformatics 2007.

Discovering Significant Structures in Clustered Bio-molecular Data Through the Bernstein Inequality
Alberto Bertoni and Giorgio Valentini
In: Knowledge-Based Intelligent Information and Engineering Systems Lecture Notes in Computer Science , vol.4924 (4924). (2007) Springer , Berlin, Germany , pp. 886-891. ISBN 978-3-540-74828-1

Classification of co-expressed genes from DNA regulatory regions
Giulio Pavesi and Giorgio Valentini
Information Fusion 2007.

Statistical methods for the assessment of clusters discovered in bio-molecular data
Giorgio Valentini
In: 6th SIB National Congress, Statistics in Life and Environment Sciences, Pisa, Italy(2007).

An unsupervised fuzzy ensemble algorithmic scheme for gene expression data analysis
Roberto Avogadri and Giorgio Valentini
In: NETTAB 2007 workshop on a Semantic Web for Bioinformatics, Pisa, Italy(2007).

Fuzzy ensemble clustering for DNA microarray data analysis
Roberto Avogadri and Giorgio Valentini
In: Applications of Fuzzy Sets Theory 10.1007/978-3-540-73400-0_68 , 4578 (4573). (2007) Springer , Berlin, Germany , pp. 537-543. ISBN 978-3-540-73399-7

Model order selection for biomolecular data clustering
Alberto Bertoni and Giorgio Valentini
BMC Bioinformatics Volume 8, Number 3, 2007.

Mosclust: a software library for discovering significant structures in bio-molecular data
Giorgio Valentini
Bioinformatics Volume 23, Number 3, 2007.

Randomized Embedding Cluster Ensembles for gene expression data analysis
Alberto Bertoni and Giorgio Valentini
In: SETIT 2007 - IEEE International Conf. on Sciences of Electronic, Technologies of Information and Telecommunications, Hammamet, Tunisia(2007).

Gene expression modelling through positive Boolean functions
Francesca Ruffino, Marco Muselli and Giorgio Valentini
International Journal of Approximate Reasoning Volume 47, Number 1, pp. 97-108, 2008.

HCGene: a software tool to support the hierarchical classification of genes
Giorgio Valentini and Nicolò Cesa-Bianchi
Bioinformatics 2008.

Discovering multi–level structures in bio-molecular data through the Bernstein inequality
Alberto Bertoni and Giorgio Valentini
BMC Bioinformatics Volume 9, Number Suppl.2, 2008.

Fuzzy ensemble clustering based on random projections for DNA microarray data analysis
Roberto Avogadri and Giorgio Valentini
Artificial Intelligence in Medicine 2007.

Computational Intelligence and Machine Learning in Bioinformatics
Giorgio Valentini, Roberto Tagliaferri and Francesco Masulli
Artificial Intelligence in Medicine 2009.

Fuzzy ensemble clustering based on random projections for DNA microarray data analysis
Roberto Avogadri and Giorgio Valentini
Artificial Intelligence in Medicine 2009.

Classification of co-expressed genes from DNA regulatory regions
Giulio Pavesi and Giorgio Valentini
Information Fusion 2009.

HCGene: a software tool to support the hierarchical classification of genes
Giorgio Valentini and Nicolò Cesa-Bianchi
Bioinformatics Volume 24, Number 5, pp. 729-731, 2008.

Proceedings of the the Second Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications (SUEMA)
Oleg Okun and Giorgio Valentini, ed. (2008) European Conference on Artificial Intelligence, University of Patras, Greece , Patras, Greece . ISBN 978-960-89282-2-0

Supervised and Unsupervised Ensemble Methods and their Applications
Oleg Okun and Giorgio Valentini, ed. (2008) Studies in Computational Intelligence , Volume 126 . Springer . ISBN 978-3-540-78980-2

Unsupervised stability-based ensembles to discover reliable structures in complex bio-molecular data
Alberto Bertoni and Giorgio Valentini
In: Proc. CIBB 2008, The Fifth International Conference on Bioinformatics and Biostatistics (2009) Springer, Lecture Notes in Computer Science .

Data Integration and Opportunities in Biological XML Data Management
M. Mesiti, E. J. Ruiz, I. Sanz, R. Berlanga, Giorgio Valentini, P. Perlasca and D. Manset
In: Open and Novel Issues in XML Database Applications: Future Directions and Advanced Technologies (2009) Information Science .

An algorithm to assess the reliability of hierarchical clusters in gene expression data
R. Avogadri, M. Brioschi, F. Ruffino, F. Ferrazzi, A. Beghini and Giorgio Valentini
In: Knowledge-Based Intelligent Information and Engineering Systems, 12th International Conference (2008) Springer, Lecture Notes in Computer Science , pp. 764-770.

XML-based approaches for the integration of heterogeneous bio-molecular data
M. Mesiti, E.J. Ruiz, R. Berlanga, Giorgio Valentini, P. Perlasca and D. Manset
In: NETTAB 2008 workshop on: "Bioinformatics Methods for Biomedical Complex System Applications"(2008).

Dataset Complexity Can Help to Generate Accurate Ensembles of K-Nearest Neighbors
Oleg Okun and Giorgio Valentini
In: EEE International Joint Conference on Neural Networks - IJCNN 2008 (IEEE World Congress on Computational Intelligence), Hong-Kong(2008).

Ensemble Clustering with a Fuzzy Approach
R Avogadri and Giorgio Valentini
In: Supervised and Unsupervised Ensemble Methods and their Applications Studies in Computational Intelligence , 126 . (2008) Springer .

True Path Rule Hierarchical Ensembles
Giorgio Valentini
Lecture Notes on Computer Science 2009.

Ensemble based Data Fusion for Gene Function Prediction
Matteo Re and Giorgio Valentini
Lecture Notes in Computer Science 2009.

An integrated algorithmic procedure for the assessment and discovery of clusters in DNA microarray data.
Roberto Avogadri, Alberto Bertoni and Giorgio Valentini
In: BITS 2009, Sixth Annual Meeting of Bioinformatics Italian Society, 18-20 Mar 2009, Genova, Italy.

Genome-wide hierarchical classification of gene function.
Nicolò Cesa-Bianchi and Giorgio Valentini
In: BITS 2009. Sixth Annual Meeting of the Bioinformatics Italian Society, 18-20 Mar 2009, Genova, Italy.

Data fusion based gene function prediction using ensemble methods.
Matteo Re and Giorgio Valentini
In: BITS 2009. Sixth Annual Meeting of the Bioinformatics Italian Society, 18-20 Mar 2009, Genova, Italy.

Noise tolerance of Multiple Classifier Systems in data integration-based gene function prediction
Matteo Re and Giorgio Valentini
Journal of Integrative Bioinformatics Volume 7, Number 3, 2010.

True Path Rule hierarchical ensembles for genome-wide gene function prediction
Giorgio Valentini
IEEE ACM Transactions on Computational Biology and Bioinformatics 2010.

A mathematical model for the validation of gene selection methods
Marco Muselli, Alberto Bertoni, Marco Frasca, Alessandro Beghini, Francesca Ruffino and Giorgio Valentini
IEEE ACM Transactions on Computational Biology and Bioinformatics 2010.

Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction
Matteo Re and Giorgio Valentini
Journal of Machine Learning Research, W&C Proceedings Volume 8, pp. 98-111, 2010.

Hierarchical cost-sensitive algorithms for genome-wide gene function prediction
Nicolò Cesa-Bianchi and Giorgio Valentini
Journal of Machine Learning Research, W&C Proceedings Volume 8, pp. 14-29, 2010.

Integration of heterogeneous data sources for gene function prediction using Decision Templates and ensembles of learning machines
Matteo Re and Giorgio Valentini
Neurocomputing Volume 73, Number 7-9, pp. 1533-1537, 2010.

XML-Based Approaches for the Integration of Heterogeneous Bio-Molecular Data
Marco Mesiti, E. Jimenez-Ruiz, Ismael Sanz, R. Berlanga-Llavori, Paolo Perlasca, Giorgio Valentini and D. Manset
BMC Bioinformatics Volume 10, Number S12, S7, 2009.

A stability-based algorithm to validate hierarchical clusters of genes
Roberto Avogadri, Matteo Brioschi, Fulvia Ferrazzi, Matteo Re, Alessandro Beghini and Giorgio Valentini
International Journal of Knowledge Engineering and Soft Data Paradigms Volume 1, Number 4, pp. 318-330, 2009.

Computational Intelligence and Machine Learning in Bioinformatics
Giorgio Valentini, Roberto Tagliaferri and Francesco Masulli
Artificial Intelligence in Medicine Volume 45, Number 2, pp. 91-96, 2009.

Fuzzy ensemble clustering based on random projections for DNA microarray data analysis
Roberto Avogadri and Giorgio Valentini
Artificial Intelligence in Medicine Volume 45, Number 2, pp. 173-183, 2009.

Classification of co-expressed genes from DNA regulatory regions
Giulio Pavesi and Giorgio Valentini
Information Fusion Volume 10, Number 3, pp. 233-241, 2009.

Applications of Supervised and Unsupervised Ensemble Methods
Oleg Okun and Giorgio Valentini, ed. (2010) Studies in Computational Intelligence , Volume 245 . Springer . ISBN ISBN: 978-3-642-03998-0

An experimental comparison of Hierarchical Bayes and True Path Rule ensembles for protein function prediction
Matteo Re and Giorgio Valentini
In: Nineth International Workshop on Multiple Classifier Systems MCS 2010 Lecture Notes in Computer Science , 5997 . (2010) Springer , pp. 294-303.

Weighted True Path Rule: a multilabel hierarchical algorithm for gene function prediction
Giorgio Valentini and Matteo Re
In: MLD-ECML 2009, 1st International Workshop on learning from Multi-Label Data, 7 Sept 2009, Bled, Slovenia.

Predicting gene expression from heterogeneous data
Matteo Re and Giorgio Valentini
In: CIBB 2009, The Sixth International Conference on Bioinformatics and Biostatistics, 15-17 Oct 2009, Genova, Italy.

Comparing early and late data fusion methods for gene function prediction
Matteo Re and Giorgio Valentini
In: Neural Nets WIRN09 (2009) IOS Press , pp. 197-207. ISBN 978-1-60750-072-8

Ensemble based Data Fusion for Gene Function Prediction
Matteo Re and Giorgio Valentini
In: Eighth International Workshop on Multiple Classifier Systems MCS 2009 Lecture Notes in Computer Science , 5519 . (2009) Springer , pp. 448-457. ISBN 978-3-642-02325-5

True Path Rule Hierarchical Ensembles
Giorgio Valentini
In: Eighth International Workshop on Multiple Classifier Systems MCS 2009 Lecture Notes in Computer Science , 5519 . (2009) Springer , pp. 232-241.

Exploring the link between bolstered classification error and dataset complexity for gene expression based cancer classification
Oleg Okun, Giorgio Valentini and H. Priisalu
In: New Signal Processing Research (2009) Nova Science Publishers .

Unsupervised stability-based ensembles to discover reliable structures in complex bio-molecular data
Alberto Bertoni and Giorgio Valentini
In: Proc. CIBB 2008, The Fifth International Conference on Bioinformatics and Biostatistics Lecture Notes in Computer Science , 5488 . (2009) Springer , pp. 25-43.

Prediction of gene function using ensembles of SVMs and heterogeneous data sources
Matteo Re and Giorgio Valentini
In: Applications of supervised and unsupervised ensemble methods Studies in Computational Intelligence , 245 . (2009) Springer , pp. 79-91. ISBN 978-3-642-03998-0

Data Integration and Opportunities in Biological XML Data Management
M. Mesiti, E.J. Ruiz, I. Sanz, R. Berlanga, Giorgio Valentini, P. Perlasca and D. Manset
In: Open and Novel Issues in XML Database Applications: Future Directions and Advanced Technologies (2009) Information Science , pp. 263-286.

True Path Rule hierarchical ensembles for genome-wide gene function prediction
Giorgio Valentini
IEEE ACM Transactions on Computational Biology and Bioinformatics Volume 8, Number 3, pp. 832-847, 2011.

Proceedings of the the Third Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications (SUEMA)
Oleg Okun, Matteo Re and Giorgio Valentini, ed. (2010) ECML European Conference on Machine Learning, Barcelona, Spain .

Functional Inference in FunCat through the Combination of Hierarchical Ensembles with Data Fusion Methods
Nicolò Cesa-Bianchi, Matteo Re and Giorgio Valentini
In: ICML Workshop on learning from Multi-Label Data MLD'10, 25 Jun 2010, Haifa, Israel.

Learning functional linkage networks with a cost-sensitive approach
Alberto Bertoni, Marco Frasca, Guliano Grossi and Giorgio Valentini
In: Neural Nets WIRN10, 2010, Vietri sul mare, Italy.

Ensemble methods: a review
Matteo Re and Giorgio Valentini
In: Data Mining and Machine Learning for Astronomical Applications (2011) Chapman & Hall .

Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference
Nicolò Cesa-Bianchi, Matteo Re and Giorgio Valentini
Machine Learning 2012. ISSN 0885-6125

A mathematical model for the validation of gene selection methods
Marco Muselli, Alberto Bertoni, Marco Frasca, Alessandro Beghini, Francesca Ruffino and Giorgio Valentini
IEEE ACM Transactions on Computational Biology and Bioinformatics Volume 8, Number 5, pp. 1385-1392, 2011.

Ensembles in Machine Learning Applications
Oleg Okun, Giorgio Valentini and Matteo Re, ed. (2011) Studies in Computational Intelligence , Volume 373 . Springer , Berlin . ISBN 978-3-642-22909-1

Genes prioritization with respect to Cancer Gene Modules using functional interaction network data
Matteo Re and Giorgio Valentini
In: NETTAB 2011 Workshop on Clinical Bioinformatics, 12-14 October, 2011, Pavia, Italy.

COSNet: a Cost Sensitive Neural Network for Semi-supervised Learning in Graphs
Alberto Bertoni, Marco Frasca and Giorgio Valentini
In: Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2011 Lecture Notes on Artificial Intelligence , 6911 . (2011) Springer , Berlin , pp. 219-234.

A Novel Ensemble Technique for Protein Subcellular Location Prediction
Alessandro Rozza, Gabriele Lombardi, Matteo Re, Elena Casiraghi, Giorgio Valentini and Paola Campadelli
In: Ensembles in Machine Learning Applications Studies in Computational Intelligence , 373 . (2011) Springer , Berlin , pp. 151-167.

A cost-sensitive neural algorithm to predict gene functions using large biological networks
Marco Frasca, Alberto Bertoni and Giorgio Valentini
In: Network Biology SIG: On the Analysis and Visualization of Networks in Biology, ISMB 2011, 2011, Wien.

Identification of promoter regions in genomic sequences by 1-dimensional constraint clustering
Alberto Bertoni, Matteo Re, Francesco Sacca and Giorgio Valentini
In: Frontiers in Artificial Intelligence and Applications (2011) IOS Press , pp. 162-169. ISBN 978-1-60750-971-4

Performance of single sample predictors in defining breast cancer molecular subtypes
M. Dugo, M. Callari, P. Miodini, V. Cappelletti, M.L. Carcangiu, R. Orlandi, Giorgio Valentini and MG Daidone
In: 53rd Annual Meeting of the Italian Cancer Society, 2011 October, Torino, Italy.

An efficient supervised method to integrate multiple biological networks
Alberto Bertoni, Marco Frasca and Giorgio Valentini
In: BITS 2011, Bioinformatics Italian Society Meeting, 2011, Pisa, Italy.

A Novel Ensemble Approach for the Subcellular Localization of Proteins
Alessandro Rozza, Gabriele Lombardi, Matteo Re, Elena Casiraghi, Giorgio Valentini and Paola Campadelli
In: BITS 2011, Bioinformatics Italian Society Meeting, 2011, Pisa. Italy.