| 2008 |
|---|
| 15 | EE | Ronaldo C. Prati,
Gustavo E. A. P. A. Batista,
Maria Carolina Monard:
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System.
IFIP AI 2008: 131-140 |
| 14 | EE | Edson Takashi Matsubara,
Ronaldo C. Prati,
Gustavo E. A. P. A. Batista,
Maria Carolina Monard:
Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach.
SBIA 2008: 217-226 |
| 2005 |
|---|
| 13 | EE | Gustavo E. A. P. A. Batista,
Ronaldo C. Prati,
Maria Carolina Monard:
Balancing Strategies and Class Overlapping.
IDA 2005: 24-35 |
| 12 | | Edson Takashi Matsubara,
Maria Carolina Monard,
Gustavo E. A. P. A. Batista:
Multi-view Semi-supervised Learning: An Approach to Obtain Different Views from Text Datasets.
LAPTEC 2005: 97-104 |
| 2004 |
|---|
| 11 | EE | Gustavo E. A. P. A. Batista,
Maria Carolina Monard,
Ana L. C. Bazzan:
Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets.
KELSI 2004: 20-32 |
| 10 | EE | Ronaldo C. Prati,
Gustavo E. A. P. A. Batista,
Maria Carolina Monard:
Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior.
MICAI 2004: 312-321 |
| 9 | EE | Claudia Regina Milaré,
Gustavo E. A. P. A. Batista,
André Carlos Ponce Leon Ferreira de Carvalho,
Maria Carolina Monard:
Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks.
MICAI 2004: 833-843 |
| 8 | EE | Ronaldo C. Prati,
Gustavo E. A. P. A. Batista,
Maria Carolina Monard:
Learning with Class Skews and Small Disjuncts.
SBIA 2004: 296-306 |
| 7 | EE | Gustavo E. A. P. A. Batista,
Ronaldo C. Prati,
Maria Carolina Monard:
A study of the behavior of several methods for balancing machine learning training data.
SIGKDD Explorations 6(1): 20-29 (2004) |
| 2003 |
|---|
| 6 | | Gustavo E. A. P. A. Batista,
Ana L. C. Bazzan,
Maria Carolina Monard:
Balancing Training Data for Automated Annotation of Keywords: a Case Study.
WOB 2003: 10-18 |
| 5 | EE | Gustavo E. A. P. A. Batista,
Maria Carolina Monard:
An Analysis of Four Missing Data Treatment Methods for Supervised Learning.
Applied Artificial Intelligence 17(5-6): 519-533 (2003) |
| 2002 |
|---|
| 4 | | Gustavo E. A. P. A. Batista,
Maria Carolina Monard:
A Study of K-Nearest Neighbour as an Imputation Method.
HIS 2002: 251-260 |
| 3 | EE | Ana Carolina Lorena,
Gustavo E. A. P. A. Batista,
André Carlos Ponce Leon Ferreira de Carvalho,
Maria Carolina Monard:
The Influence of Noisy Patterns in the Performance of Learning Methods in the Splice Junction Recognition Problem.
SBRN 2002: 31-37 |
| 2 | | Ana Carolina Lorena,
Gustavo E. A. P. A. Batista,
André Carlos Ponce Leon Ferreira de Carvalho,
Maria Carolina Monard:
Splice Junction Recognition using Machine Learning Techniques.
WOB 2002: 32-39 |
| 2000 |
|---|
| 1 | | Gustavo E. A. P. A. Batista,
André Carlos Ponce Leon Ferreira de Carvalho,
Maria Carolina Monard:
Applying One-Sided Selection to Unbalanced Datasets.
MICAI 2000: 315-325 |
