| 2008 |
|---|
| 37 | 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 |
| 36 | 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 |
| 35 | EE | Daniel de Faveri Honorato,
Everton Alvares Cherman,
Huei Diana Lee,
Maria Carolina Monard,
Feng Chung Wu:
Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction.
CLEI Electron. J. 11(2): (2008) |
| 2006 |
|---|
| 34 | EE | Adriano D. Pila,
Rafael Giusti,
Ronaldo C. Prati,
Maria Carolina Monard:
A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties.
HIS 2006: 41 |
| 33 | EE | Huei Diana Lee,
Maria Carolina Monard,
Feng Chung Wu:
A Fractal Dimension Based Filter Algorithm to Select Features for Supervised Learning.
IBERAMIA-SBIA 2006: 278-288 |
| 32 | EE | Edson Takashi Matsubara,
Maria Carolina Monard,
Ronaldo C. Prati:
On the Class Distribution Labelling Step Sensitivity of CO-TRAINING.
IFIP AI 2006: 199-208 |
| 31 | EE | Flavia Cristina Bernardini,
Maria Carolina Monard,
Ronaldo C. Prati:
Constructing ensembles of symbolic classifiers.
Int. J. Hybrid Intell. Syst. 3(3): 159-167 (2006) |
| 2005 |
|---|
| 30 | EE | Flavia Cristina Bernardini,
Maria Carolina Monard,
Ronaldo C. Prati:
Constructing Ensembles of Symbolic Classifiers.
HIS 2005: 315-322 |
| 29 | EE | Gustavo E. A. P. A. Batista,
Ronaldo C. Prati,
Maria Carolina Monard:
Balancing Strategies and Class Overlapping.
IDA 2005: 24-35 |
| 28 | | Huei Diana Lee,
Maria Carolina Monard,
Feng Chung Wu:
Feature Subset Selection for Supervised Learning using Fractal Dimension.
LAPTEC 2005: 135-142 |
| 27 | | Flavia Cristina Bernardini,
Maria Carolina Monard:
Methods for Constructing Symbolic Ensembles from Symbolic Classifiers.
LAPTEC 2005: 161-168 |
| 26 | | 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 |
|---|
| 25 | 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 |
| 24 | 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 |
| 23 | 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 |
| 22 | EE | Ronaldo C. Prati,
Gustavo E. A. P. A. Batista,
Maria Carolina Monard:
Learning with Class Skews and Small Disjuncts.
SBIA 2004: 296-306 |
| 21 | 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 |
|---|
| 20 | | 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 |
| 19 | 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) |
| 18 | EE | José Augusto Baranauskas,
Maria Carolina Monard:
Combining symbolic classifiers from multiple inducers.
Knowl.-Based Syst. 16(3): 129-136 (2003) |
| 2002 |
|---|
| 17 | | Gustavo E. A. P. A. Batista,
Maria Carolina Monard:
A Study of K-Nearest Neighbour as an Imputation Method.
HIS 2002: 251-260 |
| 16 | EE | Claudia Regina Milaré,
André Carlos Ponce Leon Ferreira de Carvalho,
Maria Carolina Monard:
Extracting Knowledge from Artificial Neural Networks: An Empirical Comparison of Trepan and Symbolic Learning Algorithms.
MICAI 2002: 272-281 |
| 15 | 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 |
| 14 | | 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 |
| 13 | EE | Adenilso da Silva Simão,
Tatiana Sugeta,
José Carlos Maldonado,
Maria Carolina Monard:
PROLOG & TXL: A Case Study for Prototyping Structural Testing Supporting Tools .
CLEI Electron. J. 5(1): (2002) |
| 12 | EE | Claudia Regina Milaré,
André Carlos Ponce Leon Ferreira de Carvalho,
Maria Carolina Monard:
An Approach to Explain Neural Networks using Symbolic Algorithms.
International Journal of Computational Intelligence and Applications 2(4): 365-376 (2002) |
| 2001 |
|---|
| 11 | | Adenilso da Silva Simão,
Tatiana Sugeta,
José Carlos Maldonado,
Maria Carolina Monard:
Prolog & TXL: Um Estudo de Caso para Prototipação de Ferramentas de Apoio para o Teste Estrutural.
JIISIC 2001: 15-22 |
| 10 | EE | Maria Carolina Monard,
Jorge A. O. Bruno,
Joaquina Faour,
Alicia Batana:
Pressure Dependence of Ionic Polarizabilities in Crystals.
Computers & Chemistry 25(5): 429-438 (2001) |
| 2000 |
|---|
| 9 | | Maria Carolina Monard,
Jaime Simão Sichman:
International Joint Conference, 7th Ibero-American Conference on AI, 15th Brazilian Symposium on AI, IBERAMIA-SBIA 2000, Open Discussion Track Proceedings, Atibaia, SP, Brazil, November 19-22, 2000
ICMC/USP 2000 |
| 8 | | Maria Carolina Monard,
Jaime Simão Sichman:
Advances in Artificial Intelligence, International Joint Conference, 7th Ibero-American Conference on AI, 15th Brazilian Symposium on AI, IBERAMIA-SBIA 2000, Atibaia, SP, Brazil, November 19-22, 2000, Proceedings
Springer 2000 |
| 7 | | Huei Diana Lee,
Maria Carolina Monard,
Sandro C. Esteves:
Indução Construtiva Guiada pelo Conhecimento: Um Estudo de Caso do Processamento de Sêmen Diagnóstico
IBERAMIA-SBIA 2000 Open Discussion Track 2000: 157-166 |
| 6 | | Paulo Sérgio Horst,
Maria Carolina Monard:
Um Sistema Computacional para Avaliação de Regras Induzidas por Algoritmos de Aprendizado de Máquina.
IBERAMIA-SBIA 2000 Open Discussion Track 2000: 167-176 |
| 5 | | José Augusto Baranauskas,
Maria Carolina Monard:
An Environment for Rule Extraction and Evaluation from Databases.
IBERAMIA-SBIA 2000 Open Discussion Track 2000: 187-196 |
| 4 | | 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 |
| 3 | EE | Luis Carlos Molina Félix,
Solange Oliveira Rezende,
Maria Carolina Monard,
Chandler Wellington Caulkis:
Transforming a Regression Problem into a Classification Problem using Hybrid Discretization.
Computación y Sistemas 4(1): 44-52 (2000) |
| 1999 |
|---|
| 2 | EE | Maria Carolina Monard,
Alicia Batana,
Jorge A. O. Bruno:
Calculation of the Pressure Dependence of Anion Polarizabilities in Crystals.
Computers & Chemistry 23(5): 493-501 (1999) |
| 1995 |
|---|
| 1 | | Maria do Carmo Nicoletti,
Maria Carolina Monard:
Constructing the Extensional Representation of an Intentional Domain Theory in Inductive Logic Programming.
SBIA 1995: 171-180 |
