2008 |
21 | EE | Giuseppe Jurman,
Stefano Merler,
Annalisa Barla,
Silvano Paoli,
Antonio Galea,
Cesare Furlanello:
Algebraic stability indicators for ranked lists in molecular profiling.
Bioinformatics 24(2): 258-264 (2008) |
20 | EE | Annalisa Barla,
Giuseppe Jurman,
Samantha Riccadonna,
Stefano Merler,
Marco Chierici,
Cesare Furlanello:
Machine learning methods for predictive proteomics.
Briefings in Bioinformatics 9(2): 119-128 (2008) |
19 | EE | Silvano Paoli,
Giuseppe Jurman,
Davide Albanese,
Stefano Merler,
Cesare Furlanello:
Integrating gene expression profiling and clinical data.
Int. J. Approx. Reasoning 47(1): 58-69 (2008) |
2007 |
18 | EE | Stefano Merler,
Giuseppe Jurman,
Cesare Furlanello:
Deriving the Kernel from Training Data.
MCS 2007: 32-41 |
17 | EE | Stefano Merler,
Bruno Caprile,
Cesare Furlanello:
Parallelizing AdaBoost by weights dynamics.
Computational Statistics & Data Analysis 51(5): 2487-2498 (2007) |
16 | EE | Samantha Riccadonna,
Giuseppe Jurman,
Stefano Merler,
Silvano Paoli,
A. Quattrone,
Cesare Furlanello:
Supervised classification of combined copy number and gene expression data.
J. Integrative Bioinformatics 4(3): (2007) |
2006 |
15 | EE | Annalisa Barla,
Bettina Irler,
Stefano Merler,
Giuseppe Jurman,
Silvano Paoli,
Cesare Furlanello:
Proteome Profiling without Selection Bias.
CBMS 2006: 941-946 |
14 | EE | Stefano Merler,
Giuseppe Jurman:
Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel.
Neural Networks 19(10): 1597-1611 (2006) |
2005 |
13 | EE | Stefano Merler,
Cesare Furlanello,
Giuseppe Jurman:
Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs.
ICIAP 2005: 735-742 |
12 | EE | Silvano Paoli,
Giuseppe Jurman,
Davide Albanese,
Stefano Merler,
Cesare Furlanello:
Semisupervised Profiling of Gene Expressions and Clinical Data.
WILF 2005: 284-289 |
11 | EE | Cesare Furlanello,
Maria Serafini,
Stefano Merler,
Giuseppe Jurman:
Semisupervised Learning for Molecular Profiling.
IEEE/ACM Trans. Comput. Biology Bioinform. 2(2): 110-118 (2005) |
2004 |
10 | EE | Bruno Caprile,
Stefano Merler,
Cesare Furlanello,
Giuseppe Jurman:
Exact Bagging with k-Nearest Neighbour Classifiers.
Multiple Classifier Systems 2004: 72-81 |
9 | EE | Stefano Merler,
Bruno Caprile,
Cesare Furlanello:
Bias-Variance Control Via Hard Points Shaving.
IJPRAI 18(5): 891-903 (2004) |
2003 |
8 | EE | Cesare Furlanello,
Maria Serafini,
Stefano Merler,
Giuseppe Jurman:
Entropy-based gene ranking without selection bias for the predictive classification of microarray data.
BMC Bioinformatics 4: 54 (2003) |
7 | EE | Stefano Merler,
Cesare Furlanello,
Barbara Larcher,
Andrea Sboner:
Automatic model selection in cost-sensitive boosting.
Information Fusion 4(1): 3-10 (2003) |
6 | EE | Cesare Furlanello,
Maria Serafini,
Stefano Merler,
Giuseppe Jurman:
An accelerated procedure for recursive feature ranking on microarray data.
Neural Networks 16(5-6): 641-648 (2003) |
2002 |
5 | EE | Bruno Caprile,
Cesare Furlanello,
Stefano Merler:
Highlighting Hard Patterns via AdaBoost Weights Evolution.
Multiple Classifier Systems 2002: 72-80 |
4 | EE | Bruno Caprile,
Cesare Furlanello,
Stefano Merler:
The Dynamics of AdaBoost Weights Tells You What's Hard to Classify
CoRR cs.LG/0201014: (2002) |
2001 |
3 | EE | Stefano Merler,
Cesare Furlanello,
Barbara Larcher,
Andrea Sboner:
Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis.
Multiple Classifier Systems 2001: 32-42 |
2000 |
2 | EE | Cesare Furlanello,
Stefano Merler:
Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS.
Multiple Classifier Systems 2000: 220-229 |
1997 |
1 | EE | Cesare Furlanello,
Diego Giuliani,
Edmondo Trentin,
Stefano Merler:
Speaker Normalization and Model Selection of Combined Neural Networks.
Connect. Sci. 9(1): 31-50 (1997) |