Maria do Carmo Nicoletti

Maria C. Nicoletti

	2013
j11		A. S. Ferreira, Maria C. Nicoletti, J. R. Bertini Jr., R. C. Giordano: Methodology for inferring kinetic parameters of diesel oil HDS reactions based on scarce experimental data. Computers & Chemical Engineering 48: 58-73 (2013)
	2012
c32		Cristiane A. Yaguinuma, Marilde T. P. Santos, Heloisa A. Camargo, Maria C. Nicoletti, Tatiane M. Nogueira: Fuzz-Onto: A meta-ontology for representing fuzzy elements and supporting fuzzy classification rules. ISDA 2012: 166-171
c31		Maria C. Nicoletti, Flavia O. S. Sa Lisboa, Estevam R. Hruschka Jr., O. L. de Oliveira: Representation and automatic learning of temporal relations between time periods with uncertain boundaries. ISDA 2012: 443-448
	2011
c30		Maria do Carmo Nicoletti, João Roberto Bertini Jr., Osvaldo Luiz De Oliveira: Interpreting Hidden Neurons in Boolean Constructive Neural Networks. IDEAL 2011: 34-41
	2010
j10		João Roberto Bertini Jr., Maria do Carmo Nicoletti: A two-class constructive neural network algorithm for continuous domains: the OffTiling algorithm. IJKEDM 1(2): 161-183 (2010)
	2009
j9		Gláucia M. Bressan, Vilma A. de Oliveira, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti: Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop. Eng. Appl. of AI 22(4-5): 579-592 (2009)
p3		Maria do Carmo Nicoletti, João Roberto Bertini Jr., David A. Elizondo, Leonardo Franco, José M. Jerez: Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks. Constructive Neural Networks 2009: 1-23
p2		Viviani Akemi Kasahara, Maria do Carmo Nicoletti: Investigating Neighborhood Graphs for Inducing Density Based Clusters. Foundations of Computational Intelligence (5) 2009: 57-78
p1		João Roberto Bertini Jr., Maria do Carmo Nicoletti: A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on Linear Separability. Constructive Neural Networks 2009: 145-169
	2008
j8		Maria do Carmo Nicoletti, Daniel Monegatto Santoro: The influence of search mechanisms in feature subset selection processes. Intelligent Decision Technologies 2(4): 231-238 (2008)
j7		Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Vilma A. de Oliveira, Gláucia M. Bressan: BayesRule: A Markov-Blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers. Int. J. Hybrid Intell. Syst. 5(2): 83-96 (2008)
j6		Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti: Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches. J. UCS 14(15): 2456-2470 (2008)
c29		Luciana Montera, Maria do Carmo Nicoletti, Flavio Henrique da Silva, Pablo Moscato: An effective mutation-based measure for evaluating the suitability of parental sequences to undergo DNA shuffling experiments. IEEE Congress on Evolutionary Computation 2008: 765-772
c28		L. Montera, Maria C. Nicoletti: The PCR Primer Design as a Metaheuristic Search Process. ICAISC 2008: 963-973
c27		João Roberto Bertini Jr., Maria do Carmo Nicoletti: MBabCoNN - A Multiclass Version of a Constructive Neural Network Algorithm Based on Linear Separability and Convex Hull. ICANN (2) 2008: 723-733
c26		Antonio C. L. Horta, Teresa C. Zangirolami, Maria do Carmo Nicoletti, Luciana Montera, Talita S. Carmo, Viviane M. Gonçalves: An Empirical Investigation of the Use of a Neural Network Committee for Identifying the Streptococcus PneumoniaeGrowth Phases in Batch Cultivations. IEA/AIE 2008: 215-224
c25		Luciana Montera, Antonio C. L. Horta, Teresa C. Zangirolami, Maria do Carmo Nicoletti, Talita S. Carmo, Viviane M. Gonçalves: A Heuristic Search for Optimal Parameter Values of Three Biokinetic Growth Models for Describing Batch Cultivations of Streptococcus Pneumoniaein Bioreactors. IEA/AIE 2008: 359-368
	2007
j5		Vanessa Cristina de Castilho, Mounir Khalil El Debs, Maria do Carmo Nicoletti: Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists. Eng. Appl. of AI 20(4): 519-530 (2007)
j4		Flávia O. Santos de Sá Lisboa, Maria do Carmo Nicoletti, Arthur Ramer: A version of the NGE model suitable for fuzzy domains. Journal of Intelligent and Fuzzy Systems 18(1): 1-17 (2007)
j3		Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.: Transferring neural network based knowledge into an exemplar-based learner. Neural Computing and Applications 16(3): 257-265 (2007)
c24		Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti: Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search. IEEE Congress on Evolutionary Computation 2007: 1444-1449
c23		Diego P. Vivencio, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Edimilson Batista dos Santos, Sebastian D. C. de O. Galvão: Feature-weighted k-Nearest Neighbor Classifier. FOCI 2007: 481-486
c22		Estevam R. Hruschka Jr., Heloisa de Arruda Camargo, Marcos Evandro Cintra, Maria do Carmo Nicoletti: BayesFuzzy: Using a Bayesian Classifier to Induce a Fuzzy Rule Base. FUZZ-IEEE 2007: 1-6
c21		Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Vilma A. de Oliveira, Gláucia M. Bressan: Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules. HIS 2007: 192-197
c20		Gláucia M. Bressan, Vilma A. de Oliveira, Estevam R. Hruschka Jr., Maria C. Nicoletti: Biomass Based Weed-Crop Competitiveness Classification Using Bayesian Networks. ISDA 2007: 121-126
c19		Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti: Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach. ISDA 2007: 315-322
c18		Daniel Monegatto Santoro, Maria do Carmo Nicoletti, Estevam R. Hruschka Jr.: C-Focus-3: a C-Focus with a New Heuristic Search Strategy. ISDA 2007: 479-484
	2006
j2		Lucas Baggio Figueira, Luiz Garcia Palma Neto, João Roberto Bertini Jr., Maria do Carmo Nicoletti: Using Constructive Neural Networks for Detecting Central Vestibular System Lesion. Applied Artificial Intelligence 20(7): 609-638 (2006)
c17		João Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr., Arthur Ramer: Two Variants of the Constructive Neural Network Tiling Algorithm. HIS 2006: 49
c16		João Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr.: A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms. SMC 2006: 3497-3502
	2005
c15		Joao Marcos Vieira, Maria do Carmo Nicoletti, Marina Teresa Pires Vieira: A Collaborative Approach to Knowledge Extraction from Rough Relational Databases. HIS 2005: 17-22
c14		Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.: Initializing an Exemplar Based Learning Process from a RuleNet Network. HIS 2005: 125-130
c13		Daniel Monegatto Santoro, Maria do Carmo Nicoletti: Investigating a Wrapper Approach for Selecting Features Using Constructive Neural Networks. ITCC (2) 2005: 77-82
c12		Daniel Monegatto Santoro, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti: Selecting feature subsets for inducing classifiers using a committee of heterogeneous methods. SMC 2005: 375-380
	2004
c11		Pablo Alberto Dalbem de Castro, Daniel Monegatto Santoro, Heloisa de Arruda Camargo, Maria do Carmo Nicoletti: Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection. HIS 2004: 180-185
c10		Lucas Baggio Figueira, Maria do Carmo Nicoletti: Choosing the Initial Set of Exemplars when Learning with an NGE-based System. ITCC (2) 2004: 193-197
c9		Lucas Baggio Figueira, Maria do Carmo Nicoletti: Evaluating the effects of distance metrics on a NGE-based system. SMC (4) 2004: 3395-3401
	2003
c8		Luiz Garcia Palma Neto, Lucas Baggio Figueira, Maria do Carmo Nicoletti: Using a Family of Perceptron-Based Neural Networks for Detecting Central Vestibular System Problems. ICMLA 2003: 193-199
	2002
j1		Maria do Carmo Nicoletti, Jane Brennan: Learning Spatial Relations Using an Inductive Logic Programming System. Computers and Artificial Intelligence 21(1) (2002)
c7		Vanessa Cristina de Castilho, Maria do Carmo Nicoletti, Mounir Khalil El Debs: Using Genetic Algorithms for Minimizing the Production Costs of Hollow Core Slabs. HIS 2002: 796-805
	2001
c6		Flavia O. S. Sa Lisboa, Maria do Carmo Nicoletti, Arthur Ramer: A Fuzzy Classifier System Based on Generalized Exemplars. FUZZ-IEEE 2001: 73-76
c5		Maria do Carmo Nicoletti, Joaquim Quinteiro Uchôa: A Family of Algorithms for Implementing the Main Concepts of the Rough Set Theory. HIS 2001: 583-595
	2000
c4		Maria do Carmo Nicoletti, Jane Brennan: Inducing Spatial Knowledge with a First-Order Learning System. ISCA Conference on Intelligent Systems 2000: 131-134
c3		Maria do Carmo Nicoletti, Jane Brennan: Learning to Transfer Knowledge between Reference Systems. FLAIRS Conference 2000: 276-280
	1998
c2		Maria do Carmo Nicoletti, Flavia Oliveira Santos: A Constructive Fuzzy NGE Learning System. Discovery Science 1998: 427-428
	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

Colors in the list of coauthors

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