All Stories

  1. An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods

    Article • Artificial Intelligence in Medicine, June 2014, Elsevier

    Professor Giorgio Valentini

  2. Hierarchical Ensemble Methods for Protein Function Prediction

    Article • ISRN Bioinformatics, May 2014, Hindawi Publishing Corporation

    Professor Giorgio Valentini

  3. Think globally and solve locally: secondary memory-based network learning for automated multi-species function prediction

    Article • GigaScience, April 2014, Oxford University Press (OUP)

    Professor Giorgio Valentini

  4. GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology

    Article • Bioinformatics, March 2014, Oxford University Press (OUP)

    Professor Giorgio Valentini

  5. Network-Based Drug Ranking and Repositioning with Respect to DrugBank Therapeutic Categories

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, November 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Giorgio Valentini

  6. Energy‐Efficient Resource Utilization in Cloud Computing

    Article • October 2013, Wiley

    Professor Giorgio Valentini

  7. A neural network algorithm for semi-supervised node label learning from unbalanced data

    Article • Neural Networks, July 2013, Elsevier

    Professor Giorgio Valentini

  8. A Fast Ranking Algorithm for Predicting Gene Functions in Biomolecular Networks

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, November 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Giorgio Valentini

  9. Cancer module genes ranking using kernelized score functions

    Article • BMC Bioinformatics, September 2012, Springer Science + Business Media

    Professor Giorgio Valentini

  10. Ensemble Methods

    Article • March 2012, Taylor & Francis

    Professor Giorgio Valentini

  11. Large Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic Categories

    Article • January 2012, Springer Science + Business Media

    Professor Giorgio Valentini

  12. Random Walking on Functional Interaction Networks to Rank Genes Involved in Cancer

    Article • January 2012, Springer Science + Business Media

    Professor Giorgio Valentini

  13. Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference

    Article • Machine Learning, December 2011, Springer Science + Business Media

    Professor Giorgio Valentini

  14. True Path Rule Hierarchical Ensembles for Genome-Wide Gene Function Prediction

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, May 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Giorgio Valentini

  15. XML-Based Approaches for the Integration of Heterogeneous Bio-Molecular Data

    Article • April 2011, Taylor & Francis

    Professor Giorgio Valentini

  16. Ensembles in Machine Learning Applications

    Article • January 2011

    Professor Giorgio Valentini

  17. COSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in Graphs

    Article • January 2011, Springer Science + Business Media

    Professor Giorgio Valentini

  18. A Novel Ensemble Technique for Protein Subcellular Location Prediction

    Article • January 2011, Springer Science + Business Media

    Professor Giorgio Valentini

  19. Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines

    Article • Neurocomputing, March 2010, Elsevier

    Professor Giorgio Valentini

  20. An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction

    Article • January 2010, Springer Science + Business Media

    Professor Giorgio Valentini

  21. XML-based approaches for the integration of heterogeneous bio-molecular data

    Article • BMC Bioinformatics, October 2009, Springer Science + Business Media

    Professor Giorgio Valentini

  22. Classification of co-expressed genes from DNA regulatory regions

    Article • Information Fusion, July 2009, Elsevier

    Professor Giorgio Valentini

  23. Computational intelligence and machine learning in bioinformatics

    Article • Artificial Intelligence in Medicine, February 2009, Elsevier

    Professor Giorgio Valentini

  24. Fuzzy ensemble clustering based on random projections for DNA microarray data analysis

    Article • Artificial Intelligence in Medicine, February 2009, Elsevier

    Professor Giorgio Valentini

  25. Applications of Supervised and Unsupervised Ensemble Methods

    Article • January 2009, Springer Science + Business Media

    Professor Giorgio Valentini

  26. True Path Rule Hierarchical Ensembles

    Article • January 2009, Springer Science + Business Media

    Professor Giorgio Valentini

  27. Ensemble Based Data Fusion for Gene Function Prediction

    Article • January 2009, Springer Science + Business Media

    Professor Giorgio Valentini

  28. A stability-based algorithm to validate hierarchical clusters of genes

    Article • International Journal of Knowledge Engineering and Soft Data Paradigms, January 2009, Inderscience Publishers

    Professor Giorgio Valentini

  29. Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data

    Article • January 2009, Springer Science + Business Media

    Professor Giorgio Valentini

  30. Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources

    Article • January 2009, Springer Science + Business Media

    Professor Giorgio Valentini

  31. Dataset complexity can help to generate accurate ensembles of k-nearest neighbors

    Article • June 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Giorgio Valentini

  32. Discovering multi–level structures in bio-molecular data through the Bernstein inequality

    Article • BMC Bioinformatics, March 2008, Springer Science + Business Media

    Professor Giorgio Valentini

  33. HCGene: a software tool to support the hierarchical classification of genes

    Article • Bioinformatics, January 2008, Oxford University Press (OUP)

    Professor Giorgio Valentini

  34. Supervised and Unsupervised Ensemble Methods and their Applications

    Article • January 2008, Springer Science + Business Media

    Professor Giorgio Valentini

  35. Ensemble Clustering with a Fuzzy Approach

    Article • January 2008, Springer Science + Business Media

    Professor Giorgio Valentini

  36. Gene expression modeling through positive boolean functions

    Article • International Journal of Approximate Reasoning, January 2008, Elsevier

    Professor Giorgio Valentini

  37. Model order selection for bio-molecular data clustering

    Article • BMC Bioinformatics, May 2007, Springer Science + Business Media

    Professor Giorgio Valentini

  38. Discovering Significant Structures in Clustered Bio-molecular Data Through the Bernstein Inequality

    Article • January 2007, Springer Science + Business Media

    Professor Giorgio Valentini

  39. Mosclust: a software library for discovering significant structures in bio-molecular data

    Article • Bioinformatics, November 2006, Oxford University Press (OUP)

    Professor Giorgio Valentini

  40. Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses

    Article • Artificial Intelligence in Medicine, June 2006, Elsevier

    Professor Giorgio Valentini

  41. Characterization of lung tumor subtypes through gene expression cluster validity assessment

    Article • RAIRO - Theoretical Informatics and Applications, April 2006, EDP Sciences

    Professor Giorgio Valentini

  42. Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms

    Article • January 2006, Springer Science + Business Media

    Professor Giorgio Valentini

  43. Biological Specifications for a Synthetic Gene Expression Data Generation Model

    Article • January 2006, Springer Science + Business Media

    Professor Giorgio Valentini

  44. Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data

    Article • Bioinformatics, December 2005, Oxford University Press (OUP)

    Professor Giorgio Valentini

  45. An Experimental Bias-Variance Analysis of SVM Ensembles Based on Resampling Techniques

    Article • IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), December 2005, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Giorgio Valentini

  46. Support vector machines for candidate nodules classification

    Article • Neurocomputing, October 2005, Elsevier

    Professor Giorgio Valentini

  47. Bio-molecular cancer prediction with random subspace ensembles of support vector machines

    Article • Neurocomputing, January 2005, Elsevier

    Professor Giorgio Valentini

  48. An experimental analysis of the dependence among codeword bit errors in ECOC learning machines

    Article • Neurocomputing, March 2004, Elsevier

    Professor Giorgio Valentini

  49. Effectiveness of error correcting output coding methods in ensemble and monolithic learning machines

    Article • Pattern Analysis and Applications, February 2004, Springer Science + Business Media

    Professor Giorgio Valentini

  50. Cancer recognition with bagged ensembles of support vector machines

    Article • Neurocomputing, January 2004, Elsevier

    Professor Giorgio Valentini

  51. Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias–Variance Analysis

    Article • January 2004, Springer Science + Business Media

    Professor Giorgio Valentini

  52. Effectiveness of error correcting output coding methods in ensemble and monolithic learning machines

    Article • Pattern Analysis and Applications, February 2003, Springer Science + Business Media

    Professor Giorgio Valentini

  53. An Application of Low Bias Bagged SVMs to the Classification of Heterogeneous Malignant Tissues

    Article • January 2003, Springer Science + Business Media

    Professor Giorgio Valentini

  54. Gene expression data analysis of human lymphoma using support vector machines and output coding ensembles

    Article • Artificial Intelligence in Medicine, November 2002, Elsevier

    Professor Giorgio Valentini

  55. NEURObjects: an object-oriented library for neural network development

    Article • Neurocomputing, October 2002, Elsevier

    Professor Giorgio Valentini

  56. Ensembles of Learning Machines

    Article • January 2002, Springer Science + Business Media

    Professor Giorgio Valentini

  57. Boosting and Classification of Electronic Nose Data

    Article • January 2002, Springer Science + Business Media

    Professor Giorgio Valentini

  58. Bias—Variance Analysis and Ensembles of SVM

    Article • January 2002, Springer Science + Business Media

    Professor Giorgio Valentini

  59. Decompositive classification models for electronic noses

    Article • Analytica Chimica Acta, November 2001, Elsevier

    Professor Giorgio Valentini

  60. Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis

    Article • January 2001, Springer Science + Business Media

    Professor Giorgio Valentini

  61. Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems

    Article • January 2000, Springer Science + Business Media

    Professor Giorgio Valentini

  62. Feature Selection Combined with Random Subspace Ensemble for Gene Expression Based Diagnosis of Malignancies

    Article • Springer Science + Business Media

    Professor Giorgio Valentini

  63. Fuzzy Ensemble Clustering for DNA Microarray Data Analysis

    Article • Springer Science + Business Media

    Professor Giorgio Valentini

  64. An Algorithm to Assess the Reliability of Hierarchical Clusters in Gene Expression Data

    Article • Springer Science + Business Media

    Professor Giorgio Valentini

  65. Data Integration Issues and Opportunities in Biological XML Data Management

    Article • IGI Global

    Professor Giorgio Valentini

  66. Bagged ensembles of Support Vector Machines for gene expression data analysis

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Giorgio Valentini