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| 2012 | ||
|---|---|---|
| 48 | 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) | |
| 2011 | ||
| 47 | 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 | |
| 46 | Everton Alvares Cherman, Maria Carolina Monard, Jean Metz: Multi-label Problem Transformation Methods: a Case Study. CLEI Electron. J. 14(1): (2011) | |
| 45 | 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) | |
| 2010 | ||
| 44 | Everton Alvares Cherman, Jean Metz, Maria Carolina Monard: A Simple Approach to Incorporate Label Dependency in Multi-label Classification. MICAI (2) 2010: 33-43 | |
| 43 | 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 | |
| 2009 | ||
| 42 | 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 | ||
| 41 | Flavia 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 | |
| 40 | Marcos Evandro Cintra, Heloisa de Arruda Camargo, Maria Carolina Monard: Fuzzy Feature Subset Selection Using the Wang & Mendel Method. HIS 2008: 590-595 | |
| 39 | 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 | |
| 38 | 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 | |
| 37 | 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 | ||
| 36 | 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 | |
| 35 | 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 | |
| 34 | Edson Takashi Matsubara, Maria Carolina Monard, Ronaldo C. Prati: On the Class Distribution Labelling Step Sensitivity of CO-TRAINING. IFIP AI 2006: 199-208 | |
| 33 | Flavia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati: Constructing ensembles of symbolic classifiers. Int. J. Hybrid Intell. Syst. 3(3): 159-167 (2006) | |
| 32 | 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 Artificial, Revista Iberoamericana de Inteligencia Artificial 10(32): 29-35 (2006) | |
| 31 | 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 Artificial, Revista Iberoamericana de Inteligencia Artificial 10(32): 9-17 (2006) | |
| 2005 | ||
| 30 | Flavia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati: Constructing Ensembles of Symbolic Classifiers. HIS 2005: 315-322 | |
| 29 | 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 | 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 | 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 | 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 | Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard: Learning with Class Skews and Small Disjuncts. SBIA 2004: 296-306 | |
| 21 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | |
Colors in the list of coauthors
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