Maria Carolina Monard

72 papers A* 1B 4C 8Misc 1Journal 22Unranked 33
YearRankTypeTitle / Venue / Authors
2019 J jnl
Multi-label active learning: key issues and a novel query strategy.
Evol. Syst.
Everton Alvares Cherman, Yannis Papanikolaou, Grigorios Tsoumakas, Maria Carolina Monard
2016 J jnl
A systematic review of multi-label feature selection and a new method based on label construction.
Neurocomputing
Newton Spolaôr, Maria Carolina Monard, Grigorios Tsoumakas, Huei Diana Lee
2016 Misc conf
Active Learning Algorithms for Multi-label Data.
AIAI
Everton Alvares Cherman, Grigorios Tsoumakas, Maria Carolina Monard
2016 J jnl
Genetic generation of fuzzy systems with rule extraction using formal concept analysis.
Inf. Sci.
Marcos E. Cintra, Heloisa A. Camargo, Maria Carolina Monard
2015 J jnl
Comparing published multi-label classifier performance measures to the ones obtained by a simple multi-label baseline classifier.
CoRR
Jean Metz, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard
2015 B conf
FCA-Based Rule Generator, a framework for the genetic generation of fuzzy classification systems using formal concept analysis.
FUZZ-IEEE
Marcos E. Cintra, Maria Carolina Monard, Heloisa A. Camargo
2015 A* conf
Feature Selection for Multi-Label Learning.
IJCAI
Newton Spolaôr, Maria Carolina Monard, Huei Diana Lee
2015 J jnl
Improving the kernel regularized least squares method for small-sample regression.
Neurocomputing
Igor Braga, Maria Carolina Monard
2015 J jnl
Lazy Multi-label Learning Algorithms Based on Mutuality Strategies.
J. Intell. Robotic Syst.
Everton Alvares Cherman, Newton Spolaôr, Jorge Carlos Valverde-Rebaza, Maria Carolina Monard
2014 C conf
A framework for multi-label exploratory data analysis: ML-EDA.
CLEI
Victor Augusto Moraes Carvalho, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard
2014 — conf
Evaluating ReliefF-Based Multi-Label Feature Selection Algorithm.
IBERAMIA
Newton Spolaôr, Maria Carolina Monard
2014 — conf
Label Construction for Multi-label Feature Selection.
BRACIS
Newton Spolaôr, Maria Carolina Monard, Grigorios Tsoumakas, Huei Diana Lee
2013 — conf
A Framework to Generate Synthetic Multi-label Datasets.
CLEI Selected Papers
Jimena Torres Tomás, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard
2013 — conf
A Note on Parameter Selection for Support Vector Machines.
MICAI (2)
Igor Braga, Laís Pessine do Carmo, Caio César Benatti, Maria Carolina Monard
2013 — ch.
On Rule Learning Methods: A Comparative Analysis of Classic and Fuzzy Approaches.
Soft Computing: State of the Art Theory and Novel Applications
Marcos E. Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo
2013 — conf
ReliefF for Multi-label Feature Selection.
BRACIS
Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee
2013 — conf
Statistical and Heuristic Model Selection in Regularized Least-Squares.
BRACIS
Igor Braga, Maria Carolina Monard
2012 — conf
A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach.
CLEI Selected Papers
Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee
2012 — conf
Filter Approach Feature Selection Methods to Support Multi-label Learning Based on ReliefF and Information Gain.
SBIA
Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee
2012 J jnl
Incorporating label dependency into the binary relevance framework for multi-label classification.
Expert Syst. Appl.
Everton Alvares Cherman, Jean Metz, Maria Carolina Monard
2012 — conf
On the Estimation of Predictive Evaluation Measure Baselines for Multi-label Learning.
IBERAMIA
Jean Metz, Luís F. D. de Abreu, Everton Alvares Cherman, Maria Carolina Monard
2012 B conf
Using fuzzy formal concepts in the genetic generation of fuzzy systems.
FUZZ-IEEE
Marcos Evandro Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo
2011 J jnl
A Survey on Graphical Methods for Classification Predictive Performance Evaluation.
IEEE Trans. Knowl. Data Eng.
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
2011 J jnl
Multi-label Problem Transformation Methods: a Case Study.
CLEI Electron. J.
Everton Alvares Cherman, Maria Carolina Monard, Jean Metz
2011 C conf
On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems.
HIS
Marcos Evandro Cintra, Maria Carolina Monard, Everton Alvares Cherman, Heloisa de Arruda Camargo
2011 C conf
The use of fuzzy decision trees for coffee rust warning in Brazilian crops.
ISDA
Marcos Evandro Cintra, Carlos Alberto Alves Meira, Maria Carolina Monard, Heloisa A. Camargo, Luiz Henrique A. Rodrigues
2010 — conf
A Simple Approach to Incorporate Label Dependency in Multi-label Classification.
MICAI (2)
Everton Alvares Cherman, Jean Metz, Maria Carolina Monard
2010 — conf
An Evaluation of Rule-Based Classification Models Induced by a Fuzzy Method and Two Classic Learning Algorithms.
SBRN
Marcos Evandro Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo
2010 J jnl
Data base definition and feature selection for the genetic generation of fuzzy rule bases.
Evol. Syst.
Marcos E. Cintra, Maria Carolina Monard, Heloisa A. Camargo
2009 — conf
Data mining with imbalanced class distributions: concepts and methods.
IICAI
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
2008 — conf
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System.
IFIP AI
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
2008 J jnl
Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction.
CLEI Electron. J.
Daniel de Faveri Honorato, Everton Alvares Cherman, Huei Diana Lee, Maria Carolina Monard, Feng Chung Wu
2008 C conf
Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms.
HIS
Flávia Cristina Bernardini, Ronaldo C. Prati, Maria Carolina Monard
2008 C conf
Fuzzy Feature Subset Selection Using the Wang & Mendel Method.
HIS
Marcos Evandro Cintra, Heloisa de Arruda Camargo, Maria Carolina Monard
2008 — conf
Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach.
SBIA
Edson Takashi Matsubara, Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
2006 J jnl
A Comparison of Methods for Rule Subset Selection Applied to Associative Classification.
Inteligencia Artif.
Gustavo E. A. P. A. Batista, Claudia Regina Milaré, Ronaldo Cristiano Prati, Maria Carolina Monard
2006 — conf
A Fractal Dimension Based Filter Algorithm to Select Features for Supervised Learning.
IBERAMIA-SBIA
Huei Diana Lee, Maria Carolina Monard, Feng Chung Wu
2006 C conf
A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties.
HIS
Adriano Donizete Pila, Rafael Giusti, Ronaldo C. Prati, Maria Carolina Monard
2006 J jnl
A Simple Evaluation Model for Feature Subset Selection Algorithms.
Inteligencia Artif.
Huei Diana Lee, Maria Carolina Monard, Richardson Floriani Voltolini, Ronaldo Cristiano Prati, Feng Chung Wu
2006 J jnl
Constructing ensembles of symbolic classifiers.
Int. J. Hybrid Intell. Syst.
Flávia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati
2006 — conf
On the Class Distribution Labelling Step Sensitivity of CO-TRAINING.
IFIP AI
Edson Takashi Matsubara, Maria Carolina Monard, Ronaldo C. Prati
2005 B conf
Balancing Strategies and Class Overlapping.
IDA
Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard
2005 C conf
Constructing Ensembles of Symbolic Classifiers.
HIS
Flávia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati
2005 — conf
Feature Subset Selection for Supervised Learning using Fractal Dimension.
LAPTEC
Huei Diana Lee, Maria Carolina Monard, Feng Chung Wu
2005 — conf
Methods for Constructing Symbolic Ensembles from Symbolic Classifiers.
LAPTEC
Flávia Cristina Bernardini, Maria Carolina Monard
2005 — conf
Multi-view Semi-supervised Learning: An Approach to Obtain Different Views from Text Datasets.
LAPTEC
Edson Takashi Matsubara, Maria Carolina Monard, Gustavo E. A. P. A. Batista
2004 J jnl
A study of the behavior of several methods for balancing machine learning training data.
SIGKDD Explor.
Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard
2004 — conf
Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks.
MICAI
Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
2004 — conf
Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior.
MICAI
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
2004 — conf
Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets.
KELSI
Gustavo E. A. P. A. Batista, Maria Carolina Monard, Ana L. C. Bazzan
2004 — conf
Learning with Class Skews and Small Disjuncts.
SBIA
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
2003 J jnl
An Analysis of Four Missing Data Treatment Methods for Supervised Learning.
Appl. Artif. Intell.
Gustavo E. A. P. A. Batista, Maria Carolina Monard
2003 — conf
Balancing Training Data for Automated Annotation of Keywords: a Case Study.
WOB
Gustavo E. A. P. A. Batista, Ana L. C. Bazzan, Maria Carolina Monard
2003 J jnl
Combining symbolic classifiers from multiple inducers.
Knowl. Based Syst.
José Augusto Baranauskas, Maria Carolina Monard
2002 C conf
A Study of K-Nearest Neighbour as an Imputation Method.
HIS
Gustavo E. A. P. A. Batista, Maria Carolina Monard
2002 J jnl
An Approach to Explain Neural Networks using Symbolic Algorithms.
Int. J. Comput. Intell. Appl.
Claudia Regina Milaré, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
2002 — conf
Extracting Knowledge from Artificial Neural Networks: An Empirical Comparison of Trepan and Symbolic Learning Algorithms.
MICAI
Claudia Regina Milaré, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
2002 J jnl
PROLOG & TXL: A Case Study for Prototyping Structural Testing Supporting Tools .
CLEI Electron. J.
Adenilso da Silva Simão, Tatiana Sugeta, José Carlos Maldonado, Maria Carolina Monard
2002 — conf
Splice Junction Recognition using Machine Learning Techniques.
WOB
Ana Carolina Lorena, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
2002 — conf
The Influence of Noisy Patterns in the Performance of Learning Methods in the Splice Junction Recognition Problem.
SBRN
Ana Carolina Lorena, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
2001 J jnl
Pressure Dependence of Ionic Polarizabilities in Crystals.
Comput. Chem.
Maria Carolina Monard, Jorge A. O. Bruno, Joaquina Faour, Alicia Batana
2001 — conf
Prolog & TXL: Um Estudo de Caso para Prototipação de Ferramentas de Apoio para o Teste Estrutural.
JIISIC
Adenilso da Silva Simão, Tatiana Sugeta, José Carlos Maldonado, Maria Carolina Monard
2000 — ed.
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
IBERAMIA-SBIA
Maria Carolina Monard, Jaime Simão Sichman
2000 — conf
An Environment for Rule Extraction and Evaluation from Databases.
IBERAMIA-SBIA 2000 Open Discussion Track
José Augusto Baranauskas, Maria Carolina Monard
2000 — conf
Applying One-Sided Selection to Unbalanced Datasets.
MICAI
Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
2000 — conf
Indução Construtiva Guiada pelo Conhecimento: Um Estudo de Caso do Processamento de Sêmen Diagnóstico
IBERAMIA-SBIA 2000 Open Discussion Track
Huei Diana Lee, Maria Carolina Monard, Sandro C. Esteves
2000 — ed.
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
IBERAMIA-SBIA Open Discussion Track
Maria Carolina Monard, Jaime Simão Sichman
2000 J jnl
Transforming a Regression Problem into a Classification Problem using Hybrid Discretization.
Computación y Sistemas
Luis Carlos Molina Félix, Solange Oliveira Rezende, Maria Carolina Monard, Chandler Wellington Caulkis
2000 — conf
Um Sistema Computacional para Avaliação de Regras Induzidas por Algoritmos de Aprendizado de Máquina.
IBERAMIA-SBIA 2000 Open Discussion Track
Paulo Sérgio Horst, Maria Carolina Monard
1999 B conf
Applying neural networks to determine vibration parameters in a turbine.
IJCNN
Chandler W. Caulkins, Robson B. T. Oliveira, André C. P. L. F. de Carvalho, Solange O. Rezende, Maria Carolina Monard
1999 J jnl
Calculation of the Pressure Dependence of Anion Polarizabilities in Crystals.
Comput. Chem.
Maria Carolina Monard, Alicia Batana, Jorge A. O. Bruno
1995 — conf
Constructing the Extensional Representation of an Intentional Domain Theory in Inductive Logic Programming.
SBIA
Maria do Carmo Nicoletti, Maria Carolina Monard