Luis Enrique Zárate

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 51

Top Venues

Publications

Marcos Wander Rodrigues, Luis Enrique Zárate
A multivariate method for detecting and characterizing the changes in responses of sensors when extreme outliers arise. Eng. Appl. Artif. Intell. 133 (2024)
Deivid Santos, Cristiane Nobre, Luis Enrique Zárate, Mark A. J. Song
Application of Formal Concept Analysis and Data Mining to Characterize Infant Mortality in Two Regions of the State of Minas Gerais. ICEIS (1) (2022)
Ariane C. B. da Silva, Renata C. Santana, Thiago H. N. de Lima, Maycoln L. M. Teodoro, Mark A. J. Song, Luis Enrique Zárate, Cristiane Neri Nobre
A Review of the Main Factors, Computational Methods, and Databases Used in Depression Studies. HEALTHINF (2022)
Henrique R. Hott, Caroline Jandre, Pedro H. S. Xavier, Amal Miloud-Aouidate, Débora M. Miranda, Mark A. J. Song, Luis Enrique Zárate, Cristiane Neri Nobre
Selection of Representative Instances using Ant Colony: A Case Study in a Database of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder. HEALTHINF (2022)
Marta D. M. Noronha, Rui Henriques, Sara C. Madeira, Luis Enrique Zárate
Impact of metrics on biclustering solution and quality: A review. Pattern Recognit. 127 (2022)
Érika G. de Assis, Mark A. J. Song, Luis Enrique Zárate, Cristiane Neri Nobre
Data Balancing using Deep Convolutional Generative Adversarial Networks (DCGAN) in Patients with Congenital Syndrome by Zika Virus. HEALTHINF (2022)
Paulo Lana, Cristiane Nobre, Luis Enrique Zárate, Mark A. J. Song
Formal Concept Analysis Applied to a Longitudinal Study of COVID-19. ICEIS (1) (2022)
Marcelo Balbino, Renata Santana, Maycoln Teodoro, Mark A. J. Song, Luis Enrique Zárate, Cristiane Nobre
Predicting Depression in Children and Adolescents using the SHAP Approach. HEALTHINF (2022)
Gabriela Teodoro De Oliveira Santos, Cristiane Neri Nobre, Luis Enrique Zárate
Evaluating biological characteristics for protein function prediction using support vector machine. Int. J. Bioinform. Res. Appl. 17 (1) (2021)
Kaio H. A. Ananias, Rokia Missaoui, Pedro H. B. Ruas, Luis Enrique Zárate, Mark A. J. Song
Triadic concept approximation. Inf. Sci. 572 (2021)
Caroline Jandre, Marcelo Balbino, Débora de Miranda, Luis Enrique Zárate, Cristiane Nobre
Towards Interpretable Machine Learning Models to Aid the Academic Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder. BIOSTEC (Selected Papers) (2021)
Wanderson L. Soares, Mark A. J. Song, Luis Enrique Zárate, Cristiane Neri Nobre
Characterizing Infant Mortality Using Data Mining - A Case Study in Two Brazilian States - Santa Catarina and Amapá. MedInfo (2021)
Lorenzo Marzano, Cristiane Nobre, Luis Enrique Zárate, Mark A. J. Song
Applying Formal Concept Analysis for the Recognition of Infant Mortality Patterns. MedInfo (2021)
Marcos Wander Rodrigues, Mark Alan Junho Song, Luis Enrique Zárate
Effectively clustering researchers in scientific collaboration networks: case study on ResearchGate. Soc. Netw. Anal. Min. 11 (1) (2021)
Caroline Jandre, Bruno C. Santos, Marcelo Balbino, Débora de Miranda, Luis Enrique Zárate, Cristiane Nobre
Analysis of School Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder: A Dimensionality Reduction Approach. HEALTHINF (2021)
Marta D. M. Noronha, Cristiane Neri Nobre, Mark A. J. Song, Luis Enrique Zárate
Interpreting the Human Longevity Profile Through Triadic Rules - A Case Study Based on the ELSA-UK Longitudinal Study. MedInfo (2021)
Walisson Ferreira de Carvalho, Mark A. J. Song, Luis Enrique Zárate
An FCA-based Approach to Direct Edges in a Causal Bayesian Network: A Pilot Study using a Surgery Data Set. ICEIS (1) (2020)
Julio C. V. Neves, Pedro Henrique Batista Ruas da Silveira, Rokia Missaoui, Sérgio M. Dias, Luis Enrique Zárate, Mark A. J. Song
Exploring Different Paradigms to Extract Proper Implications From High Dimensional Formal Contexts. IEEE Access 8 (2020)
Sérgio M. Dias, Luis Enrique Zárate, Mark A. J. Song, Newton José Vieira, Ch. Aswani Kumar
Extraction of qualitative behavior rules for industrial processes from reduced concept lattice. Intell. Data Anal. 24 (3) (2020)
Julio C. V. Neves, Kaio H. A. Ananias, Cristiane Nobre, Luis Enrique Zárate, Mark A. J. Song
Applying binary decision diagram to extract concepts from triadic formal context. SAC (2020)
Marcos Wander Rodrigues, Luis Enrique Zárate
OrgBR-M: a method to assist in organizing bibliographic material based on formal concept analysis - a case study in educational data mining. Int. J. Digit. Libr. 21 (4) (2020)
Marta D. M. Noronha, Marcos W. Rodrigues, Caio Eduardo Ribeiro, Cristiane Neri Nobre, Mark A. J. Song, Luis Enrique Zárate
Characterization of long-lived and non-long lived profiles through biclustering. SAC (2020)
Guilherme Torres Castro, Luis Enrique Zárate, Cristiane Neri Nobre, Henrique C. Freitas
A Fast Parallel K-Modes Algorithm for Clustering Nucleotide Sequences to Predict Translation Initiation Sites. J. Comput. Biol. 26 (5) (2019)
Walisson Ferreira de Carvalho, Luis Enrique Zárate
Causality relationship among attributes applied in an educational data set. SAC (2019)
Bruno C. Santos, Marcos W. Rodrigues, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis Enrique Zárate
Feature selection with genetic algorithm for protein function prediction. SMC (2019)
Caio Eduardo Ribeiro, Luis Enrique Zárate
Classifying longevity profiles through longitudinal data mining. Expert Syst. Appl. 117 (2019)
Walisson Ferreira de Carvalho, Cristiane Neri Nobre, Luis Enrique Zárate
Rule Induction Algorithms Applied in Educational Data Set. CSEDU (1) (2019)
Marcos Wander Rodrigues, Luis Enrique Zárate
Time Series Analysis Using Synthetic Data for Monitoring the Temporal Behavior of Sensor Signals. SMC (2019)
Bruno César dos Santos, Cora Silberschneider, Marcos W. Rodrigues, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis Enrique Zárate
Feature Selection and Comparison of Classifiers for Protein Function Prediction. J. Inf. Data Manag. 10 (3) (2019)
Kaio H. A. Ananias, Julio C. V. Neves, Pedro H. B. Ruas, Luis Enrique Zárate, Mark A. J. Song
Manipulating Triadic Concept Analysis Contexts through Binary Decision Diagrams. ICEIS (1) (2019)
Pedro Henrique Batista Ruas da Silveira, Alan D. Machado, Michelle C. Silva, Magali R. G. Meireles, Ana Maria Pereira Cardoso, Luis Enrique Zárate, Cristiane Neri Nobre
Identification and characterisation of Facebook user profiles considering interaction aspects. Behav. Inf. Technol. 38 (8) (2019)
Luis Henrique S. Brito, Ana L. C. V. Lara, Luis Enrique Zárate, Cristiane Neri Nobre
Improving the quality of enzyme prediction by using feature selection and dimensionality reduction. IJCNN (2019)
Marcos Wander Rodrigues, Wladmir Cardoso Brandão, Luis Enrique Zárate
Recommending Scientific Collaboration from ResearchGate. BRACIS (2018)
Sebastião M. Neto, Sérgio Dias, Rokia Missaoui, Luis Enrique Zárate, Mark A. J. Song
Identification of substructures in complex networks using formal concept analysis. Int. J. Web Inf. Syst. 14 (3) (2018)
Wallison William Guimarães, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis Enrique Zárate
TCSVM - A Cascade Approach with Transductive Inference to Predicting Protein Translation Initiation Site. IJCNN (2018)
Bruno César dos Santos, Cristiane Neri Nobre, Luis Enrique Zárate
Multi-Objective Genetic Algorithm for Feature Selection in a Protein Function Prediction Context. CEC (2018)
Sebastião M. Neto, Luis Enrique Zárate, Mark A. J. Song
Handling high dimensionality contexts in formal concept analysis via binary decision diagrams. Inf. Sci. 429 (2018)
Walisson Ferreira de Carvalho, Bráulio Roberto Gonçalves Marinho Couto, Ana Paula Ladeira, Osmar Ventura Gomes, Luis Enrique Zárate
Applying Causal Inference in Educational Data Mining: A Pilot Study. CSEDU (1) (2018)
Wallison William Guimarães, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis Enrique Zárate
Cascade Support Vector Machines applied to the Translation Initiation Site prediction problem. J. Inf. Data Manag. 9 (2) (2018)
Phillip Santos, Pedro Henrique Batista Ruas da Silveira, Julio C. V. Neves, Paula R. C. Silva, Sérgio M. Dias, Luis Enrique Zárate, Mark A. J. Song
. Inf. 9 (11) (2018)
Paula Raissa, Sérgio Dias, Mark A. J. Song, Luis Enrique Zárate
Minimal implications base for social network analysis. Int. J. Web Inf. Syst. 14 (1) (2018)
Phillip Santos, Julio C. V. Neves, Paula R. C. Silva, Sérgio M. Dias, Luis Enrique Zárate, Mark A. J. Song
An Approach to Extract Proper Implications Set from High-dimension Formal Contexts using Binary Decision Diagram. ICEIS (1) (2018)
Wallison William Guimarães, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis Enrique Zárate
Evaluation of inductive and transductive inference in the context of translation initiation site. SAC (2018)
Andressa P. C. de Oliveira, Pedro Henrique Batista Ruas da Silveira, Luis Enrique Zárate, Cristiane Neri Nobre
Persuasion strategies in mobile systems: a case study of Facebook application. IHC (2017)
Paula R. C. Silva, Sérgio M. Dias, Wladmir C. Brandão, Mark A. J. Song, Luis Enrique Zárate
Professional Competence Identification Through Formal Concept Analysis. ICEIS (Revised Selected Papers) (2017)
Leandro M. Ferreira, Cristiano Lacerda Nunes Pinto, Sérgio M. Dias, Cristiane Neri Nobre, Luis Enrique Zárate
Extraction of Conservative Rules for Translation Initiation Site Prediction using Formal Concept Analysis. ICEIS (1) (2017)
Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis Enrique Zárate
Transductive learning as an alternative to translation initiation site identification. BMC Bioinform. 18 (1) (2017)
Paula R. C. Silva, Sérgio M. Dias, Wladmir C. Brandão, Mark A. J. Song, Luis Enrique Zárate
Formal Concept Analysis Applied to Professional Social Networks Analysis. ICEIS (1) (2017)
Caio Eduardo Ribeiro, Luis Henrique S. Brito, Cristiane Neri Nobre, Alex Alves Freitas, Luis Enrique Zárate
A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research. WIREs Data Mining Knowl. Discov. 7 (3) (2017)
Caio Eduardo Ribeiro, Luis Enrique Zárate
Data Preparation for Longitudinal Data Mining: a case study on human ageing. J. Inf. Data Manag. 7 (2) (2016)
Nilander R. M. de Moraes, Sérgio M. Dias, Henrique C. Freitas, Luis Enrique Zárate
Parallelization of the next Closure algorithm for generating the minimum set of implication rules. Artif. Intell. Res. 5 (2) (2016)
Sebastião M. Neto, Luis Enrique Zárate, Mark A. J. Song, Sérgio M. Dias
Minimal Cover of Implication Rules to Represent Two Mode Networks. WI-IAT (1) (2015)
Tiago Rodrigues Lopes dos Santos, Luis Enrique Zárate
Categorical data clustering: What similarity measure to recommend? Expert Syst. Appl. 42 (3) (2015)
Gustavo Jota Resende, Nilander R. M. de Moraes, Sérgio M. Dias, Humberto T. Marques Neto, Luis Enrique Zárate
Canonical Computational Models Based on Formal Concept Analysis for Social Network Analysis and Representation. ICWS (2015)
Wanderley Clarete Lanza Meirelles, Luis Enrique Zárate
Data mining in the reduction of the number of places of experiments for plant cultivates. Comput. Electron. Agric. 113 (2015)
Pedro Henrique Batista Ruas da Silveira, Ana Maria Pereira Cardoso, Luis Enrique Zárate
Caracterização do Comportamento dos Usuários da Rede Social Facebook Utilizando Métricas de Redes Complexas e Algoritmos de Clusterização. SBBD (Short Papers) (2015)
Ana P. Serra, Luis Enrique Zárate
Characterization of time series for analyzing of the evolution of time series clusters. Expert Syst. Appl. 42 (1) (2015)
Luciana O. Silva, Luis Enrique Zárate
A brief review of the main approaches for treatment of missing data. Intell. Data Anal. 18 (6) (2014)
Larissa Fernandes Leijoto, Thiago Assis De Oliveira Rodrigues, Luis Enrique Zárate, Cristiane Neri Nobre
A Genetic Algorithm for the Selection of Features Used in the Prediction of Protein Function. BIBE (2014)
Decius Pereira, Luis Enrique Zárate, Mark A. J. Song
Extraction of Classes Through the Application of Formal Concept Analysis. ICEIS (2) (2014)
Enock T. Santos, Luis Enrique Zárate, Elizabeth Marques Duarte Pereira
Hybrid thermal model for swimming pools based on artificial neural networks for southeast region of Brazil. Expert Syst. Appl. 40 (8) (2013)
Sérgio M. Dias, Luis Enrique Zárate, Newton José Vieira
Extracting reducible knowledge from ANN with JBOS and FCANN approaches. Expert Syst. Appl. 40 (8) (2013)
Decius Pereira, Luis Enrique Zárate, Mark A. J. Song
Applying Formal Concept Analysis to assist class hierarchy construction in biomedical systems. BMEI (2013)
Andrei Rimsa, Mark A. J. Song, Luis Enrique Zárate
SCGaz - A Synthetic Formal Context Generator with Density Control for Test and Evaluation of FCA Algorithms. SMC (2013)
Sérgio M. Dias, Luis Enrique Zárate, Newton José Vieira
Using Iceberg Concept Lattices and Implications Rules to Extract Knowledge from Ann. Intell. Autom. Soft Comput. 19 (3) (2013)
Fagner Andrade de Oliveira, Cristiane Neri Nobre, Luis Enrique Zárate
Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index - Case study of PETR4, Petrobras, Brazil. Expert Syst. Appl. 40 (18) (2013)
Rafael Odon de Alencar, Luis Enrique Zárate, Mark Alan Junho Song
Sphere-M: An ontology capture method. SMC (2012)
Laerte M. Rodrigues, Luis Enrique Zárate, Cristiane Neri Nobre, Henrique C. Freitas
Parallel and distributed kmeans to identify the translation initiation site of proteins. SMC (2012)
Luis Enrique Zárate, Peterson Resende
Fuzzy Sliding Mode Controller for a PH Process in Stirred Tanks. Intell. Autom. Soft Comput. 18 (4) (2012)
Tiago Rodrigues Lopes dos Santos, Luis Enrique Zárate
GCA: An algorithm based on the gower similarity for clustering of categorical variables. CLEI (2012)
Rodrigo Diana, Humberto Marques-Neto, Luis Enrique Zárate, Mark A. J. Song
A symbolic model checking appproach to verifying transact-SQL. SMC (2012)
Fabricio R. Bittencout, Luis Enrique Zárate
Hybrid structure based on previous knowledge and GA to search the ideal neurons quantity for the hidden layer of MLP - Application in the cold rolling process. Appl. Soft Comput. 11 (2) (2011)
Felipe Carvalho de Souza Teixeira, Cristiane Neri Nobre, Livia Marcia Silva, Luis Enrique Zárate
Prediction of protein translation initiation site from the perspective of imbalanced classes. SMC (2011)
Fagner Andrade de Oliveira, Luis Enrique Zárate, Marcos de Azevedo Reis, Cristiane Neri Nobre
The use of artificial neural networks in the analysis and prediction of stock prices. SMC (2011)
Enock T. Santos, Luis Enrique Zárate, Elizabeth Marques Duarte Pereira
Neural models to insert climatic information in thermal model of swimming pools - simulation for different climate conditions and profile of human activity. SMC (2010)
Nilander R. M. de Moraes, Luis Enrique Zárate, Henrique C. Freitas
A Distributed Algorithm for Formal Concepts Processing based on Search Subspaces. ICEIS (1) (2010)
Frederico Papatella, Tiago Figueiredo Carvalho, Luis Enrique Zárate, Elizabeth Marques Duarte Pereira, Mark A. J. Song
A Framework for Solar Energy Applications Photovoltaic Systems. SEKE (2010)
Frederico Papatella, Tiago Figueiredo Carvalho, Luis Enrique Zárate, Elizabeth Marques Duarte Pereira, Mark A. J. Song
SolarEnergy: A framework for photovoltaic systems - A case study. SMC (2010)
S. Campos, Julio C. V. Neves, Luis Enrique Zárate, Mark A. J. Song
Distributed BMC: A Depth-First Approach to Explore Clause Symmetry. ECBS (2009)
Luis Enrique Zárate, Sérgio M. Dias
Qualitative behavior rules for the cold rolling process extracted from trained ANN via the FCANN method. Eng. Appl. Artif. Intell. 22 (4-5) (2009)
Enock T. Santos, Luis Enrique Zárate, Elizabeth Marques Duarte Pereira
Climatic data neural representation for large territorial extensions: Case study for the State of Minas Gerais. IJCNN (2009)
Diego Marinho de Oliveira, Andre Luis de Oliveira Andrade, Cristiane Neri Nobre, Luis Enrique Zárate
The usage of Artificial Neural Networks in the classification and forecast of potable water consumption. IJCNN (2009)
Anna Izabel J. Tostes Ribeiro, Luis Enrique Zárate, Fátima de L. P. Duarte-Figueiredo
A representative validation of a neural 3G admission control through rules extraction. IJCNN (2009)
Andrei Rimsa, Luis Enrique Zárate, Mark A. J. Song
Evaluation of Different BDD Libraries to Extract Concepts in FCA - Perspectives and Limitations. ICCS (1) (2009)
Andrei Rimsa, Luis Enrique Zárate, Mark A. J. Song
Handling Large Formal Context Using BDD - Perspectives and Limitations. ICFCA (2009)
Luis Enrique Zárate, Sérgio Mariano Dias, Mark Alan Junho Song
FCANN: A new approach for extraction and representation of knowledge from ANN trained via Formal Concept Analysis. Neurocomputing 71 (13-15) (2008)
Anna Izabel T. Ribeiro, Fátima de L. P. Duarte-Figueiredo, Gabriel Novy, Carlos R. Storck, Sérgio M. Dias, Luis Enrique Zárate
An Artificial Neural Network Approach for Mechanisms of Call Admission Control in UMTS 3G Networks. HIS (2008)
Luis Enrique Zárate, Sérgio M. Dias, Mark A. J. Song
FCANN Method Applications for Knowledge Extraction From Previously Trained ANN. IJCNN (2007)
Bruno M. Nogueira, Tadeu R. A. Santos, Luis Enrique Zárate
Comparison of Classifiers Efficiency on Missing Values Recovering: Application in a Marketing Database with Massive Missing Data. CIDM (2007)
Hugo Barros, Sérgio Vale Aguiar Campos, Mark A. J. Song, Luis Enrique Zárate
Exploring Clause Symmetry in a Distributed Bounded Model Checking Algorithm. ECBS (2007)
Luis Enrique Zárate, Fabricio R. Bittencout
Neural Networks Applied to Adjustment and Combination of the Control Actions for the Cold Rolling Process. IJCNN (2007)
Mark A. J. Song, Luis Enrique Zárate, Sérgio M. Dias, Ana Alvarez, Bruno Soares, Bruno M. Nogueira, Renato Vimieiro, Tadeu R. A. Santos, Newton Vieira
SOPHIANN: A Tool for Extraction Knowledge Rules from ANN Previously Trained A Case Study. SEKE (2006)
Luis Enrique Zárate, Bruno Magalhães Nogueira, Tadeu Renato André Santos, Mark Alan Junho Song
Techniques for Missing Value Recovering in Imbalanced Databases: Application in a Marketing Database with Massive Missing Data. SMC (2006)
Luis Enrique Zárate, Elizabeth Marques Duarte Pereira
Parametric Analysis of Solar Collectors Through Sensitivity Factors Via Artificial Neural Networks. IJCNN (2006)
Luis Enrique Zárate, Elizabeth Marques Duarte Pereira, Leonardo A. R. Oliveira, Victor P. Gil, Tadeu R. A. Santos, Bruno M. Nogueira
Techniques for Training Sets Selection in the Representation of a Thermosiphon System Via ANN. IJCNN (2006)
Mark A. J. Song, Adriano C. M. Pereira, Sérgio Vale Aguiar Campos, Luis Enrique Zárate
Formal Verification of Transactional Systems Based on UML Specifications. SEKE (2005)
Luis Enrique Zárate, Elizabeth Marques Duarte Pereira, João Paulo D. Silva, Renato Vimieiro, Antônia Sônia Cardoso Diniz
Neural Representation of a Solar Collector with Statistical Optimization of the Training Set. IEA/AIE (2004)
Luis Enrique Zárate, Paulo Alvarenga, Romero Paoliello, Thiago Ribeiro
Data Mining Application to Obtain Profiles of Patients with Nephrolithiasis. ICEIS (2) (2004)
Luis Enrique Zárate, Elizabeth Marques Duarte Pereira, Daniel A. Soares, João Paulo D. Silva, Renato Vimieiro, Antônia Sônia Cardoso Diniz
Optimization of Neural Network's Training Sets via Clustering: Application in Solar Collector Representation. ICEIS (2) (2004)
Luis Enrique Zárate
A Model for the Simulation of a Cold Rolling Mill, Using Neural Networks and Sensitivity Factors. SBRN (2000)

Luis Enrique Zárate.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Luis Enrique Zárate