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2010 – 2019
- 2019
[j21]Everton Alvares Cherman, Yannis Papanikolaou, Grigorios Tsoumakas, Maria Carolina Monard:
Multi-label active learning: key issues and a novel query strategy. Evol. Syst. 10(1): 63-78 (2019)- 2016
- [j20]Newton Spolaôr
, Maria Carolina Monard, Grigorios Tsoumakas, Huei Diana Lee:
A systematic review of multi-label feature selection and a new method based on label construction. Neurocomputing 180: 3-15 (2016) - [j19]Marcos E. Cintra, Heloisa A. Camargo, Maria Carolina Monard:
Genetic generation of fuzzy systems with rule extraction using formal concept analysis. Inf. Sci. 349-350: 199-215 (2016) - [c47]Everton Alvares Cherman, Grigorios Tsoumakas, Maria Carolina Monard:
Active Learning Algorithms for Multi-label Data. AIAI 2016: 267-279 - 2015
- [j18]Igor Braga, Maria Carolina Monard:
Improving the kernel regularized least squares method for small-sample regression. Neurocomputing 163: 106-114 (2015) - [j17]Everton Alvares Cherman, Newton Spolaôr, Jorge Carlos Valverde-Rebaza, Maria Carolina Monard:
Lazy Multi-label Learning Algorithms Based on Mutuality Strategies. J. Intell. Robotic Syst. 80(Supplement-1): 261-276 (2015) - [c46]Marcos E. Cintra, Maria Carolina Monard, Heloisa A. Camargo:
FCA-Based Rule Generator, a framework for the genetic generation of fuzzy classification systems using formal concept analysis. FUZZ-IEEE 2015: 1-8 - [c45]Newton Spolaôr, Maria Carolina Monard, Huei Diana Lee:
Feature Selection for Multi-Label Learning. IJCAI 2015: 4401-4402 - [i1]Jean Metz, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard:
Comparing published multi-label classifier performance measures to the ones obtained by a simple multi-label baseline classifier. CoRR abs/1503.06952 (2015) - 2014
- [c44]Newton Spolaôr, Maria Carolina Monard, Grigorios Tsoumakas, Huei Diana Lee:
Label Construction for Multi-label Feature Selection. BRACIS 2014: 247-252 - [c43]Victor Augusto Moraes Carvalho, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard:
A framework for multi-label exploratory data analysis: ML-EDA. CLEI 2014: 1-12 - [c42]Newton Spolaôr, Maria Carolina Monard:
Evaluating ReliefF-Based Multi-Label Feature Selection Algorithm. IBERAMIA 2014: 194-205 - 2013
- [c41]Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee:
ReliefF for Multi-label Feature Selection. BRACIS 2013: 6-11 - [c40]Igor Braga, Maria Carolina Monard:
Statistical and Heuristic Model Selection in Regularized Least-Squares. BRACIS 2013: 231-236 - [c39]Igor Braga, Laís Pessine do Carmo, Caio César Benatti, Maria Carolina Monard:
A Note on Parameter Selection for Support Vector Machines. MICAI (2) 2013: 233-244 - [c38]Jimena Torres Tomás, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard:
A Framework to Generate Synthetic Multi-label Datasets. CLEI Selected Papers 2013: 155-176 - [p1]Marcos E. Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo:
On Rule Learning Methods: A Comparative Analysis of Classic and Fuzzy Approaches. Soft Computing: State of the Art Theory and Novel Applications 2013: 89-104 - 2012
- [j16]Everton Alvares Cherman, Jean Metz, Maria Carolina Monard:
Incorporating label dependency into the binary relevance framework for multi-label classification. Expert Syst. Appl. 39(2): 1647-1655 (2012) - [c37]Marcos Evandro Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo:
Using fuzzy formal concepts in the genetic generation of fuzzy systems. FUZZ-IEEE 2012: 1-8 - [c36]Jean Metz, Luís F. D. de Abreu, Everton Alvares Cherman, Maria Carolina Monard:
On the Estimation of Predictive Evaluation Measure Baselines for Multi-label Learning. IBERAMIA 2012: 189-198 - [c35]Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee:
Filter Approach Feature Selection Methods to Support Multi-label Learning Based on ReliefF and Information Gain. SBIA 2012: 72-81 - [c34]Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee:
A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach. CLEI Selected Papers 2012: 135-151 - 2011
- [j15]Everton Alvares Cherman, Maria Carolina Monard, Jean Metz:
Multi-label Problem Transformation Methods: a Case Study. CLEI Electron. J. 14(1) (2011) - [j14]Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard:
A Survey on Graphical Methods for Classification Predictive Performance Evaluation. IEEE Trans. Knowl. Data Eng. 23(11): 1601-1618 (2011) - [c33]Marcos Evandro Cintra, Maria Carolina Monard, Everton Alvares Cherman, Heloisa de Arruda Camargo:
On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems. HIS 2011: 211-216 - [c32]Marcos Evandro Cintra, Carlos Alberto Alves Meira, Maria Carolina Monard, Heloisa A. Camargo, Luiz Henrique A. Rodrigues:
The use of fuzzy decision trees for coffee rust warning in Brazilian crops. ISDA 2011: 1347-1352 - 2010
- [j13]Marcos E. Cintra, Maria Carolina Monard, Heloisa A. Camargo:
Data base definition and feature selection for the genetic generation of fuzzy rule bases. Evol. Syst. 1(4): 241-252 (2010) - [c31]Everton Alvares Cherman, Jean Metz, Maria Carolina Monard:
A Simple Approach to Incorporate Label Dependency in Multi-label Classification. MICAI (2) 2010: 33-43 - [c30]Marcos Evandro Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo:
An Evaluation of Rule-Based Classification Models Induced by a Fuzzy Method and Two Classic Learning Algorithms. SBRN 2010: 188-193
2000 – 2009
- 2009
- [c29]Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard:
Data mining with imbalanced class distributions: concepts and methods. IICAI 2009: 359-376 - 2008
- [j12]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) - [c28]Flávia Cristina Bernardini, Ronaldo C. Prati, Maria Carolina Monard:
Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms. HIS 2008: 525-530 - [c27]Marcos Evandro Cintra, Heloisa de Arruda Camargo, Maria Carolina Monard:
Fuzzy Feature Subset Selection Using the Wang & Mendel Method. HIS 2008: 590-595 - [c26]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 - [c25]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 - 2006
- [j11]Huei Diana Lee, Maria Carolina Monard, Richardson Floriani Voltolini, Ronaldo Cristiano Prati, Feng Chung Wu:
A Simple Evaluation Model for Feature Subset Selection Algorithms. Inteligencia Artif. 10(32): 9-17 (2006) - [j10]Gustavo E. A. P. A. Batista, Claudia Regina Milaré, Ronaldo Cristiano Prati, Maria Carolina Monard:
A Comparison of Methods for Rule Subset Selection Applied to Associative Classification. Inteligencia Artif. 10(32): 29-35 (2006) - [j9]Flávia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati:
Constructing ensembles of symbolic classifiers. Int. J. Hybrid Intell. Syst. 3(3): 159-167 (2006) - [c24]Adriano Donizete 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 - [c23]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 - [c22]Edson Takashi Matsubara, Maria Carolina Monard, Ronaldo C. Prati:
On the Class Distribution Labelling Step Sensitivity of CO-TRAINING. IFIP AI 2006: 199-208 - 2005
- [c21]Flávia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati:
Constructing Ensembles of Symbolic Classifiers. HIS 2005: 315-322 - [c20]Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard:
Balancing Strategies and Class Overlapping. IDA 2005: 24-35 - [c19]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 - [c18]Huei Diana Lee, Maria Carolina Monard, Feng Chung Wu:
Feature Subset Selection for Supervised Learning using Fractal Dimension. LAPTEC 2005: 135-142 - [c17]Flávia Cristina Bernardini, Maria Carolina Monard:
Methods for Constructing Symbolic Ensembles from Symbolic Classifiers. LAPTEC 2005: 161-168 - 2004
- [j8]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 Explor. 6(1): 20-29 (2004) - [c16]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 - [c15]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 - [c14]Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard:
Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks. MICAI 2004: 833-843 - [c13]Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard:
Learning with Class Skews and Small Disjuncts. SBIA 2004: 296-306 - 2003
- [j7]Gustavo E. A. P. A. Batista, Maria Carolina Monard:
An Analysis of Four Missing Data Treatment Methods for Supervised Learning. Appl. Artif. Intell. 17(5-6): 519-533 (2003) - [j6]José Augusto Baranauskas, Maria Carolina Monard:
Combining symbolic classifiers from multiple inducers. Knowl. Based Syst. 16(3): 129-136 (2003) - [c12]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 - 2002
- [j5]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) - [j4]Claudia Regina Milaré, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard:
An Approach to Explain Neural Networks using Symbolic Algorithms. Int. J. Comput. Intell. Appl. 2(4): 365-376 (2002) - [c11]Gustavo E. A. P. A. Batista, Maria Carolina Monard:
A Study of K-Nearest Neighbour as an Imputation Method. HIS 2002: 251-260 - [c10]Claudia Regina Milaré, André Carlos Ponce de 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 - [c9]Ana Carolina Lorena, Gustavo E. A. P. A. Batista, André Carlos Ponce de 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 - [c8]Ana Carolina Lorena, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard:
Splice Junction Recognition using Machine Learning Techniques. WOB 2002: 32-39 - 2001
- [j3]Maria Carolina Monard, Jorge A. O. Bruno, Joaquina Faour, Alicia Batana:
Pressure Dependence of Ionic Polarizabilities in Crystals. Comput. Chem. 25(5): 429-438 (2001) - [c7]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 - 2000
- [j2]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) - [c6]Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard:
Applying One-Sided Selection to Unbalanced Datasets. MICAI 2000: 315-325 - [c5]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 - [c4]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 - [c3]José Augusto Baranauskas, Maria Carolina Monard:
An Environment for Rule Extraction and Evaluation from Databases. IBERAMIA-SBIA 2000 Open Discussion Track 2000: 187-196 - [e2]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. Lecture Notes in Computer Science 1952, Springer 2000, ISBN 3-540-41276-X [contents] - [e1]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, ISBN 85-87837-03-6 [contents]
1990 – 1999
- 1999
- [j1]Maria Carolina Monard, Alicia Batana, Jorge A. O. Bruno:
Calculation of the Pressure Dependence of Anion Polarizabilities in Crystals. Comput. Chem. 23(5): 493-501 (1999) - [c2]Chandler W. Caulkins, Robson B. T. Oliveira, André C. P. L. F. de Carvalho, Solange O. Rezende, Maria Carolina Monard:
Applying neural networks to determine vibration parameters in a turbine. IJCNN 1999: 3371-3376 - 1995
- [c1]Maria do Carmo Nicoletti, Maria Carolina Monard:
Constructing the Extensional Representation of an Intentional Domain Theory in Inductive Logic Programming. SBIA 1995: 171-180
Coauthor Index
Gustavo Batista
aka: Gustavo E. A. P. A. Batista
aka: Gustavo E. A. P. A. Batista
Heloisa A. Camargo
aka: Heloisa de Arruda Camargo
aka: Heloisa de Arruda Camargo
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
Ronaldo C. Prati
aka: Ronaldo Cristiano Prati
aka: Ronaldo Cristiano Prati
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