| 2008 |
|---|
| 32 | EE | Oleg Okun,
Giorgio Valentini:
Dataset complexity can help to generate accurate ensembles of k-nearest neighbors.
IJCNN 2008: 450-457 |
| 31 | EE | 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 |
| 30 | EE | Giorgio Valentini,
Nicolò Cesa-Bianchi:
HCGene: a software tool to support the hierarchical classification of genes.
Bioinformatics 24(5): 729-731 (2008) |
| 29 | EE | Francesca Ruffino,
Marco Muselli,
Giorgio Valentini:
Gene expression modeling through positive boolean functions.
Int. J. Approx. Reasoning 47(1): 97-108 (2008) |
| 2007 |
|---|
| 28 | EE | Alberto Bertoni,
Giorgio Valentini:
Discovering Significant Structures in Clustered Bio-molecular Data Through the Bernstein Inequality.
KES (3) 2007: 886-891 |
| 27 | EE | Roberto Avogadri,
Giorgio Valentini:
Fuzzy Ensemble Clustering for DNA Microarray Data Analysis.
WILF 2007: 537-543 |
| 26 | EE | Giorgio Valentini:
Mosclust: a software library for discovering significant structures in bio-molecular data.
Bioinformatics 23(3): 387-389 (2007) |
| 2006 |
|---|
| 25 | EE | Alberto Bertoni,
Giorgio Valentini:
Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses.
Artificial Intelligence in Medicine 37(2): 85-109 (2006) |
| 24 | EE | Giorgio Valentini:
Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data.
Bioinformatics 22(3): 369-370 (2006) |
| 2005 |
|---|
| 23 | EE | Paola Campadelli,
Elena Casiraghi,
Giorgio Valentini:
Lung nodules detection and classification.
ICIP (1) 2005: 1117-1120 |
| 22 | EE | Francesca Ruffino,
Marco Muselli,
Giorgio Valentini:
Biological Specifications for a Synthetic Gene Expression Data Generation Model.
WILF 2005: 277-283 |
| 21 | EE | Alberto Bertoni,
Giorgio Valentini:
Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms.
WIRN/NAIS 2005: 31-37 |
| 20 | EE | Giorgio Valentini:
An experimental bias-variance analysis of SVM ensembles based on resampling techniques.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(6): 1252-1271 (2005) |
| 19 | EE | Alberto Bertoni,
Raffaella Folgieri,
Giorgio Valentini:
Bio-molecular cancer prediction with random subspace ensembles of support vector machines.
Neurocomputing 63: 535-539 (2005) |
| 18 | EE | Paola Campadelli,
Elena Casiraghi,
Giorgio Valentini:
Support vector machines for candidate nodules classification.
Neurocomputing 68: 281-288 (2005) |
| 2004 |
|---|
| 17 | EE | Giorgio Valentini:
Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias?Variance Analysis.
Multiple Classifier Systems 2004: 263-272 |
| 16 | EE | Giorgio Valentini,
Thomas G. Dietterich:
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods.
Journal of Machine Learning Research 5: 725-775 (2004) |
| 15 | EE | Giorgio Valentini,
Marco Muselli,
Francesca Ruffino:
Cancer recognition with bagged ensembles of support vector machines.
Neurocomputing 56: 461-466 (2004) |
| 14 | EE | Francesco Masulli,
Giorgio Valentini:
An experimental analysis of the dependence among codeword bit errors in ECOC learning machines.
Neurocomputing 57: 189-214 (2004) |
| 13 | EE | 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) |
| 2003 |
|---|
| 12 | | Giorgio Valentini,
Thomas G. Dietterich:
Low Bias Bagged Support Vector Machines.
ICML 2003: 752-759 |
| 11 | EE | Giorgio Valentini:
An Application of Low Bias Bagged SVMs to the Classification of Heterogeneous Malignant Tissues.
WIRN 2003: 316-321 |
| 2002 |
|---|
| 10 | EE | Giorgio Valentini,
Thomas G. Dietterich:
Bias-Variance Analysis and Ensembles of SVM.
Multiple Classifier Systems 2002: 222-231 |
| 9 | EE | Francesco Masulli,
Matteo Pardo,
Giorgio Sberveglieri,
Giorgio Valentini:
Boosting and Classification of Electronic Nose Data.
Multiple Classifier Systems 2002: 262-271 |
| 8 | EE | Giorgio Valentini,
Francesco Masulli:
Ensembles of Learning Machines.
WIRN 2002: 3-22 |
| 7 | | Giorgio Valentini:
Gene expression data analysis of human lymphoma using support vector machines and output coding ensembles.
Artificial Intelligence in Medicine 26(3): 281-304 (2002) |
| 6 | EE | Giorgio Valentini,
Francesco Masulli:
NEURObjects: an object-oriented library for neural network development.
Neurocomputing 48(1-4): 623-646 (2002) |
| 2001 |
|---|
| 5 | EE | Francesco Masulli,
Giorgio Valentini:
Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis.
Multiple Classifier Systems 2001: 158-167 |
| 2000 |
|---|
| 4 | EE | Francesco Masulli,
Giorgio Valentini:
Parallel Non Linear Dichotomizers.
IJCNN (2) 2000: 29-36 |
| 3 | EE | Francesco Masulli,
Giorgio Valentini:
Comparing decomposition methods for classification.
KES 2000: 788-791 |
| 2 | EE | Francesco Masulli,
Giorgio Valentini:
Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems.
Multiple Classifier Systems 2000: 107-116 |
| 1999 |
|---|
| 1 | | Giorgio Valentini,
Francesco Masulli:
NEURObjects: A Set of Library Classes for Neural Networks Development.
IIA/SOCO 1999 |
