Maria do Carmo Nicoletti
According to our database1,
Maria do Carmo Nicoletti
authored at least 93 papers
between 1995 and 2022.
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Bibliography
2022
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022
2021
Effect of the Municipal Human Development Index on the results of the 2018 Brazilian presidential elections.
Expert Syst. Appl., 2021
2020
Empirical evaluation of five algorithms for the initialization phase of the k-Means algorithm.
Int. J. Hybrid Intell. Syst., 2020
Using the concept of instance typicality in instance-based learning environments involving nominal attributes.
Int. J. Hybrid Intell. Syst., 2020
2019
Inf. Fusion, 2019
Int. J. Hybrid Intell. Syst., 2019
A Proposal Based on Instance Typicality for Dealing with Nominal Attribute Values in Instance-Based Learning Environments.
Proceedings of the Intelligent Systems Design and Applications, 2019
Proceedings of the Hybrid Intelligent Systems, 2019
2018
Proceedings of the Advances in Feature Selection for Data and Pattern Recognition, 2018
Proceedings of the Intelligent Systems Design and Applications, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Hybrid Intelligent Systems, 2018
2017
Enhancing classification performance using attribute-oriented functionally expanded data.
Pattern Recognit. Lett., 2017
Neural Networks, 2017
2016
Enhancing Constructive Neural Network Performance Using Functionally Expanded Input Data.
J. Artif. Intell. Soft Comput. Res., 2016
A hardware oriented <i>ad-hoc</i> computer-based method for binary structuring element decomposition based on genetic algorithms.
Integr. Comput. Aided Eng., 2016
Expert Syst. Appl., 2016
A Genetically Programmable Hybrid Virtual Reconfigurable Architecture for Image Filtering Applications.
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016
Proceedings of the Intelligent Systems Design and Applications, 2016
Proceedings of the Intelligent Systems Design and Applications, 2016
Proceedings of the Intelligent Systems Design and Applications, 2016
Functionally expanded streaming data as input to classification processes using ensembles of constructive neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
A genetic algorithm for improving the induction of attribute-based decision graph classifiers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Quantitative Analysis of Rat Dorsal Root Ganglion Neurons Cultured on Microelectrode Arrays Based on Fluorescence Microscopy Image Processing.
Int. J. Neural Syst., 2015
Integr. Comput. Aided Eng., 2015
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the Hybrid Intelligent Systems, 2015
2014
Knowl. Based Syst., 2014
The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data.
Int. J. Hybrid Intell. Syst., 2014
Quantitative correlation between ability to compute and student performance in a primary school.
Proceedings of the 45th ACM Technical Symposium on Computer Science Education, 2014
Imputation of missing data supported by Complete p-Partite attribute-based Decision Graphs.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
2013
Integr. Comput. Aided Eng., 2013
Simulated Activation Patterns of Biological Neurons Cultured onto a Multi-Electrode Array Based on a Modified Izhikevich's Model.
Fundam. Informaticae, 2013
Fundam. Informaticae, 2013
Coupling as Strategy for Reducing Concept-Drift in Never-ending Learning Environments.
Fundam. Informaticae, 2013
On-line prediction of the feeding phase in high-cell density cultivation of rE. coli using constructive neural networks.
Comput. Methods Programs Biomed., 2013
Methodology for inferring kinetic parameters of diesel oil HDS reactions based on scarce experimental data.
Comput. Chem. Eng., 2013
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Fuzz-Onto: A meta-ontology for representing fuzzy elements and supporting fuzzy classification rules.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012
Representation and automatic learning of temporal relations between time periods with uncertain boundaries.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012
2011
Minimização do Impacto do Problema de Desvio de Conceito por Meio de Acoplamento em Ambiente de Aprendizado Sem Fim (Minimizing the Impact of the Concept Drift Problem by Using a Framework of Endless Learning) [in Portuguese].
Proceedings of the 8th Brazilian Symposium in Information and Human Language Technology, 2011
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011
2010
A two-class constructive neural network algorithm for continuous domains: the OffTiling algorithm.
Int. J. Knowl. Eng. Data Min., 2010
2009
Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks.
Proceedings of the Constructive Neural Networks, 2009
Proceedings of the Foundations of Computational Intelligence, 2009
A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on Linear Separability.
Proceedings of the Constructive Neural Networks, 2009
Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop.
Eng. Appl. Artif. Intell., 2009
2008
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches.
J. Univers. Comput. Sci., 2008
BayesRule: A Markov-Blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers.
Int. J. Hybrid Intell. Syst., 2008
Intell. Decis. Technol., 2008
A Heuristic Search for Optimal Parameter Values of Three Biokinetic Growth Models for Describing Batch Cultivations of Streptococcus Pneumoniaein Bioreactors.
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008
An Empirical Investigation of the Use of a Neural Network Committee for Identifying the Streptococcus PneumoniaeGrowth Phases in Batch Cultivations.
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008
MBabCoNN - A Multiclass Version of a Constructive Neural Network Algorithm Based on Linear Separability and Convex Hull.
Proceedings of the Artificial Neural Networks, 2008
Proceedings of the Artificial Intelligence and Soft Computing, 2008
An effective mutation-based measure for evaluating the suitability of parental sequences to undergo DNA shuffling experiments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Neural Comput. Appl., 2007
Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists.
Eng. Appl. Artif. Intell., 2007
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007
Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007
Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007
Proceedings of the FUZZ-IEEE 2007, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Appl. Artif. Intell., 2006
A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms.
Proceedings of the IEEE International Conference on Systems, 2006
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006
Computer Assisted Parental Sequences Analysis as a Previous Step to DNA Shuffling Process.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
Selecting feature subsets for inducing classifiers using a committee of heterogeneous methods.
Proceedings of the IEEE International Conference on Systems, 2005
Investigating a Wrapper Approach for Selecting Features Using Constructive Neural Networks.
Proceedings of the International Symposium on Information Technology: Coding and Computing (ITCC 2005), 2005
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
2004
Proceedings of the IEEE International Conference on Systems, 2004
Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004
2003
Using a Family of Perceptron-Based Neural Networks for Detecting Central Vestibular System Problems.
Proceedings of the 2003 International Conference on Machine Learning and Applications, 2003
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003
2002
Comput. Artif. Intell., 2002
Using Genetic Algorithms for Minimizing the Production Costs of Hollow Core Slabs.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002
2001
A Family of Algorithms for Implementing the Main Concepts of the Rough Set Theory.
Proceedings of the Hybrid Information Systems, 2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
2000
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000
Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference, 2000
Inducing Spatial Knowledge with a First-Order Learning System.
Proceedings of the ISCA 9th International Conference on Intelligent Systems, 2000
1998
1997
SIGWEB Newsl., 1997
1995
Constructing the Extensional Representation of an Intentional Domain Theory in Inductive Logic Programming.
Proceedings of the Advances in Artificial Intelligence, 1995