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Giorgio Valentini: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Paola Campadelli, Elena Casiraghi, Giorgio Valentini
    Lung nodules detection and classification. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2005, pp:1117-1120 [Conf]
  2. Giorgio Valentini, Thomas G. Dietterich
    Low Bias Bagged Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:752-759 [Conf]
  3. Giorgio Valentini, Francesco Masulli
    NEURObjects: A Set of Library Classes for Neural Networks Development. [Citation Graph (0, 0)][DBLP]
    IIA/SOCO, 1999, pp:- [Conf]
  4. Francesco Masulli, Giorgio Valentini
    Parallel Non Linear Dichotomizers. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:29-36 [Conf]
  5. Francesco Masulli, Matteo Pardo, Giorgio Sberveglieri, Giorgio Valentini
    Boosting and Classification of Electronic Nose Data. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:262-271 [Conf]
  6. Francesco Masulli, Giorgio Valentini
    Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2000, pp:107-116 [Conf]
  7. Francesco Masulli, Giorgio Valentini
    Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:158-167 [Conf]
  8. Giorgio Valentini
    Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias?Variance Analysis. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2004, pp:263-272 [Conf]
  9. Giorgio Valentini, Thomas G. Dietterich
    Bias-Variance Analysis and Ensembles of SVM. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:222-231 [Conf]
  10. Francesca Ruffino, Marco Muselli, Giorgio Valentini
    Biological Specifications for a Synthetic Gene Expression Data Generation Model. [Citation Graph (0, 0)][DBLP]
    WILF, 2005, pp:277-283 [Conf]
  11. Alberto Bertoni, Giorgio Valentini
    Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms. [Citation Graph (0, 0)][DBLP]
    WIRN/NAIS, 2005, pp:31-37 [Conf]
  12. Giorgio Valentini
    An Application of Low Bias Bagged SVMs to the Classification of Heterogeneous Malignant Tissues. [Citation Graph (0, 0)][DBLP]
    WIRN, 2003, pp:316-321 [Conf]
  13. Giorgio Valentini, Francesco Masulli
    Ensembles of Learning Machines. [Citation Graph (0, 0)][DBLP]
    WIRN, 2002, pp:3-22 [Conf]
  14. Alberto Bertoni, Giorgio Valentini
    Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2006, v:37, n:2, pp:85-109 [Journal]
  15. Giorgio Valentini
    Gene expression data analysis of human lymphoma using support vector machines and output coding ensembles. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2002, v:26, n:3, pp:281-304 [Journal]
  16. Giorgio Valentini
    Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:3, pp:369-370 [Journal]
  17. Giorgio Valentini
    Mosclust: a software library for discovering significant structures in bio-molecular data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:3, pp:387-389 [Journal]
  18. Alberto Bertoni, Raffaella Folgieri, Giorgio Valentini
    Bio-molecular cancer prediction with random subspace ensembles of support vector machines. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:63, n:, pp:535-539 [Journal]
  19. Paola Campadelli, Elena Casiraghi, Giorgio Valentini
    Support vector machines for candidate nodules classification. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:68, n:, pp:281-288 [Journal]
  20. Francesco Masulli, Giorgio Valentini
    An experimental analysis of the dependence among codeword bit errors in ECOC learning machines. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:189-214 [Journal]
  21. Giorgio Valentini, Francesco Masulli
    NEURObjects: an object-oriented library for neural network development. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:48, n:1-4, pp:623-646 [Journal]
  22. Giorgio Valentini, Marco Muselli, Francesca Ruffino
    Cancer recognition with bagged ensembles of support vector machines. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:56, n:, pp:461-466 [Journal]
  23. Giorgio Valentini, Thomas G. Dietterich
    Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:725-775 [Journal]
  24. Francesco Masulli, Giorgio Valentini
    Effectiveness of error correcting output coding methods in ensemble and monolithic learning machines. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2004, v:6, n:4, pp:285-300 [Journal]
  25. Giorgio Valentini
    An experimental bias-variance analysis of SVM ensembles based on resampling techniques. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:6, pp:1252-1271 [Journal]
  26. Alberto Bertoni, Giorgio Valentini
    Discovering Significant Structures in Clustered Bio-molecular Data Through the Bernstein Inequality. [Citation Graph (0, 0)][DBLP]
    KES (3), 2007, pp:886-891 [Conf]
  27. Roberto Avogadri, Giorgio Valentini
    Fuzzy Ensemble Clustering for DNA Microarray Data Analysis. [Citation Graph (0, 0)][DBLP]
    WILF, 2007, pp:537-543 [Conf]

  28. Dataset complexity can help to generate accurate ensembles of k-nearest neighbors. [Citation Graph (, )][DBLP]


  29. Comparing decomposition methods for classification. [Citation Graph (, )][DBLP]


  30. An Algorithm to Assess the Reliability of Hierarchical Clusters in Gene Expression Data. [Citation Graph (, )][DBLP]


  31. Ensemble Based Data Fusion for Gene Function Prediction. [Citation Graph (, )][DBLP]


  32. An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction. [Citation Graph (, )][DBLP]


  33. True Path Rule Hierarchical Ensembles. [Citation Graph (, )][DBLP]


  34. Comparing early and late data fusion methods for gene function prediction. [Citation Graph (, )][DBLP]


  35. Classification of DNA microarray data with Random Projection Ensembles of Polynomial SVMs. [Citation Graph (, )][DBLP]


  36. Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data. [Citation Graph (, )][DBLP]


  37. Computational intelligence and machine learning in bioinformatics. [Citation Graph (, )][DBLP]


  38. Fuzzy ensemble clustering based on random projections for DNA microarray data analysis. [Citation Graph (, )][DBLP]


  39. HCGene: a software tool to support the hierarchical classification of genes. [Citation Graph (, )][DBLP]


  40. Model order selection for bio-molecular data clustering. [Citation Graph (, )][DBLP]


  41. Discovering multi-level structures in bio-molecular data through the Bernstein inequality. [Citation Graph (, )][DBLP]


  42. XML-based approaches for the integration of heterogeneous bio-molecular data. [Citation Graph (, )][DBLP]


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