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Luis E. Zárate

Luis Enrique Zárate – Luis Enrique Zárate Gálvez – Luis Henrique Zárate – Luiz Enrique Zárate – Luiz E. Zárate – Luiz Zárate

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affiliation: Pontifical Catholic University of Minas Gerais, Institute of Exact Sciences and Informatics, Belo Horizonte, MG, Brazil
affiliation (PhD 1998): Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil

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2023
[j36]
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Diogo R. Reis, Bruno César dos Santos, Lucas Bleicher, Luis E. Zárate, Cristiane Neri Nobre:
Prediction of enzymatic function with high efficiency and a reduced number of features using genetic algorithm. Comput. Biol. Medicine 158: 106799 (2023)
[j35]
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Marcelo de Sousa Balbino, Luis Enrique Zárate Gálvez, Cristiane Neri Nobre:
CSSE - An agnostic method of counterfactual, selected, and social explanations for classification models. Expert Syst. Appl. 228: 120373 (2023)
2022
[j34]
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Julio Cesar Vale Neves, Luiz Enrique Zárate, Mark Alan Junho Song:
Extracting concepts from triadic contexts using Binary Decision Diagram. J. Univers. Comput. Sci. 28(6): 591-619 (2022)
[j33]
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Marta D. M. Noronha, Rui Henriques, Sara C. Madeira, Luis E. Zárate:
Impact of metrics on biclustering solution and quality: A review. Pattern Recognit. 127: 108612 (2022)
2021
[j32]
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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): 1-24 (2021)
[j31]
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Kaio H. A. Ananias, Rokia Missaoui, Pedro H. B. Ruas, Luis E. Zárate, Mark A. J. Song:
Triadic concept approximation. Inf. Sci. 572: 126-146 (2021)
[j30]
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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): 71 (2021)
2020
[j29]
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Julio C. V. Neves, Pedro Henrique Batista Ruas da Silveira, Rokia Missaoui, Sérgio M. Dias, Luis E. Zárate, Mark A. J. Song:
Exploring Different Paradigms to Extract Proper Implications From High Dimensional Formal Contexts. IEEE Access 8: 134161-134175 (2020)
[j28]
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Sérgio M. Dias, Luis E. 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): 643-663 (2020)
[j27]
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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): 423-448 (2020)
2019
[j26]
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Pedro Henrique Batista Ruas da Silveira, Alan D. Machado, Michelle C. Silva, Magali R. G. Meireles, Ana Maria Pereira Cardoso, Luis E. Zárate, Cristiane Neri Nobre:
Identification and characterisation of Facebook user profiles considering interaction aspects. Behav. Inf. Technol. 38(8): 858-872 (2019)
[j25]
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Caio Eduardo Ribeiro, Luis Enrique Zárate:
Classifying longevity profiles through longitudinal data mining. Expert Syst. Appl. 117: 75-89 (2019)
[j24]
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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): 442-456 (2019)
[j23]
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Bruno César dos Santos, Cora Silberschneider, Marcos W. Rodrigues, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis E. Zárate:
Feature Selection and Comparison of Classifiers for Protein Function Prediction. J. Inf. Data Manag. 10(3) (2019)
2018
[j22]
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Paula Raissa, Sérgio Dias, Mark A. J. Song, Luis E. Zárate:
Minimal implications base for social network analysis. Int. J. Web Inf. Syst. 14(1): 62-77 (2018)
[j21]
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Sebastião M. Neto, Sérgio Dias, Rokia Missaoui, Luis E. Zárate, Mark A. J. Song:
Identification of substructures in complex networks using formal concept analysis. Int. J. Web Inf. Syst. 14(3): 281-298 (2018)
[j20]
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Phillip Santos, Pedro Henrique Batista Ruas da Silveira, Julio C. V. Neves, Paula R. C. Silva, Sérgio M. Dias, Luis E. Zárate, Mark A. J. Song:
ImplicPBDD: A New Approach to Extract Proper Implications Set from High-Dimension Formal Contexts Using a Binary Decision Diagram ^†. Inf. 9(11): 266 (2018)
[j19]
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Sebastião M. Neto, Luis E. Zárate, Mark A. J. Song:
Handling high dimensionality contexts in formal concept analysis via binary decision diagrams. Inf. Sci. 429: 361-376 (2018)
[j18]
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Wallison William Guimarães, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis E. Zárate:
Cascade Support Vector Machines applied to the Translation Initiation Site prediction problem. J. Inf. Data Manag. 9(2): 179-195 (2018)
[j17]
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Marcos Wander Rodrigues, Seiji Isotani, Luiz Enrique Zárate:
Educational Data Mining: A review of evaluation process in the e-learning. Telematics Informatics 35(6): 1701-1717 (2018)
2017
[j16]
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Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis Enrique Zárate:
Transductive learning as an alternative to translation initiation site identification. BMC Bioinform. 18(1): 81:1-81:15 (2017)
[j15]
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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)
2016
[j14]
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Nilander R. M. de Moraes, Sérgio M. Dias, Henrique C. Freitas, Luis E. Zárate:
Parallelization of the next Closure algorithm for generating the minimum set of implication rules. Artif. Intell. Res. 5(2): 40-54 (2016)
[j13]
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Caio Eduardo Ribeiro, Luis Enrique Zárate:
Data Preparation for Longitudinal Data Mining: a case study on human ageing. J. Inf. Data Manag. 7(2): 116-129 (2016)
2015
[j12]
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Wanderley Clarete Lanza Meirelles, Luis E. Zárate:
Data mining in the reduction of the number of places of experiments for plant cultivates. Comput. Electron. Agric. 113: 136-147 (2015)
[j11]
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Ana P. Serra, Luis E. Zárate:
Characterization of time series for analyzing of the evolution of time series clusters. Expert Syst. Appl. 42(1): 596-611 (2015)
[j10]
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Tiago Rodrigues Lopes dos Santos, Luis E. Zárate:
Categorical data clustering: What similarity measure to recommend? Expert Syst. Appl. 42(3): 1247-1260 (2015)
2014
[j9]
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Luciana O. Silva, Luis E. Zárate:
A brief review of the main approaches for treatment of missing data. Intell. Data Anal. 18(6): 1177-1198 (2014)
2013
[j8]
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Sérgio M. Dias, Luis E. Zárate, Newton José Vieira:
Extracting reducible knowledge from ANN with JBOS and FCANN approaches. Expert Syst. Appl. 40(8): 3087-3095 (2013)
[j7]
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Enock T. Santos, Luis E. 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): 3106-3120 (2013)
[j6]
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Fagner Andrade de Oliveira, Cristiane Neri Nobre, Luis E. 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): 7596-7606 (2013)
[j5]
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Sérgio M. Dias, Luis E. Zárate, Newton José Vieira:
Using Iceberg Concept Lattices and Implications Rules to Extract Knowledge from Ann. Intell. Autom. Soft Comput. 19(3): 361-372 (2013)
2012
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Luis E. Zárate, Peterson Resende:
Fuzzy Sliding Mode Controller for a PH Process in Stirred Tanks. Intell. Autom. Soft Comput. 18(4): 349-367 (2012)
2011
[j3]
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Fabricio R. Bittencout, Luis E. 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): 2460-2471 (2011)
2009
[j2]
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Luis E. 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): 718-731 (2009)
2008
[j1]
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Luis E. 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): 2670-2684 (2008)

Conference and Workshop Papers

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2024
[c76]
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Diogo Miranda, Luis E. Zárate, Mark A. J. Song:
Application of Formal Concept Analysis to Characterize Driving Behaviors and Socio-Cultural Factors Related to Driving. BIOSTEC (2) 2024: 56-62
[c75]
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Thiago H. C. Oliveira, Mark A. J. Song, Luis E. Zárate:
Triadic Rules for Analysis of Productive and Well-Being Social in Activity-Based Working Environments. BIOSTEC (2) 2024: 293-299
[c74]
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Lincoln A. N. Coutinho, Mark A. J. Song, Luis E. Zárate:
Longitudinal Data Analysis Based on Triadic Rules to Describe of the Psychological Reactions During COVID 19 Pandemic. BIOSTEC (2) 2024: 323-329
2023
[c73]
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André Alves, Luis E. Zárate, Henrique C. Freitas, Mark A. J. Song:
Parallelism in the Generation of Concepts Through the Formal Context Object Partitioning Using the In-Close 4 Algorithm. ICEIS (2) 2023: 195-202
2022
[c72]
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Érika G. de Assis, Mark A. J. Song, Luis E. Zárate, Cristiane Neri Nobre:
Data Balancing using Deep Convolutional Generative Adversarial Networks (DCGAN) in Patients with Congenital Syndrome by Zika Virus. HEALTHINF 2022: 93-102
[c71]
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Henrique R. Hott, Caroline Jandre, Pedro H. S. Xavier, Amal Miloud-Aouidate, Débora M. Miranda, Mark A. J. Song, Luis E. 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: 103-110
[c70]
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Ariane C. B. da Silva, Renata C. Santana, Thiago H. N. de Lima, Maycoln L. M. Teodoro, Mark A. J. Song, Luis E. Zárate, Cristiane Neri Nobre:
A Review of the Main Factors, Computational Methods, and Databases Used in Depression Studies. HEALTHINF 2022: 413-420
[c69]
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Marcelo de Sousa Balbino, Renata Santana, Maycoln L. M. Teodoro, Mark A. J. Song, Luis E. Zárate, Cristiane Nobre:
Predicting Depression in Children and Adolescents using the SHAP Approach. HEALTHINF 2022: 514-521
[c68]
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Paulo Lana, Cristiane Nobre, Luis E. Zárate, Mark A. J. Song:
Formal Concept Analysis Applied to a Longitudinal Study of COVID-19. ICEIS (1) 2022: 148-154
[c67]
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Deivid Santos, Cristiane Nobre, Luis E. 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: 155-162
2021
[c66]
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Caroline Jandre, Bruno César dos Santos, Marcelo de Sousa Balbino, Débora de Miranda, Luis E. Zárate, Cristiane Nobre:
Analysis of School Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder: A Dimensionality Reduction Approach. HEALTHINF 2021: 155-165
[c65]
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Caroline Jandre, Marcelo de Sousa Balbino, Débora de Miranda, Luis E. 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: 180-201
[c64]
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Lorenzo Marzano, Cristiane Nobre, Luis E. Zárate, Mark A. J. Song:
Applying Formal Concept Analysis for the Recognition of Infant Mortality Patterns. MedInfo 2021: 762-766
[c63]
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  - conf/medinfo/SoaresSZN21
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Wanderson L. Soares, Mark A. J. Song, Luis E. Zárate, Cristiane Neri Nobre:
Characterizing Infant Mortality Using Data Mining - A Case Study in Two Brazilian States - Santa Catarina and Amapá. MedInfo 2021: 772-776
[c62]
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Marta D. M. Noronha, Cristiane Neri Nobre, Mark A. J. Song, Luis E. Zárate:
Interpreting the Human Longevity Profile Through Triadic Rules - A Case Study Based on the ELSA-UK Longitudinal Study. MedInfo 2021: 782-786
2020
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Walisson Ferreira de Carvalho, Mark A. J. Song, Luis E. Zárate:
An FCA-based Approach to Direct Edges in a Causal Bayesian Network: A Pilot Study using a Surgery Data Set. ICEIS (1) 2020: 116-123
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Julio C. V. Neves, Kaio H. A. Ananias, Cristiane Nobre, Luis E. Zárate, Mark A. J. Song:
Applying binary decision diagram to extract concepts from triadic formal context. SAC 2020: 466-469
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Marta D. M. Noronha, Marcos W. Rodrigues, Caio Eduardo Ribeiro, Cristiane Neri Nobre, Mark A. J. Song, Luis E. Zárate:
Characterization of long-lived and non-long lived profiles through biclustering. SAC 2020: 473-476
2019
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Walisson Ferreira de Carvalho, Cristiane Neri Nobre, Luis E. Zárate:
Rule Induction Algorithms Applied in Educational Data Set. CSEDU (1) 2019: 691-696
[c57]
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Kaio H. A. Ananias, Julio C. V. Neves, Pedro H. B. Ruas, Luis E. Zárate, Mark A. J. Song:
Manipulating Triadic Concept Analysis Contexts through Binary Decision Diagrams. ICEIS (1) 2019: 182-189
[c56]
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Renata C. Santana, Bruno César dos Santos, Thiago H. N. de Lima, Maycoln L. M. Teodoro, Saulo Pinto, Luiz Zárate, Cristiane Nobre:
Genetic Algorithms for Feature Selection in the Children and Adolescents Depression Context. ICMLA 2019: 1470-1475
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Luis Henrique S. Brito, Ana L. C. V. Lara, Luis E. Zárate, Cristiane Neri Nobre:
Improving the quality of enzyme prediction by using feature selection and dimensionality reduction. IJCNN 2019: 1-8
[c54]
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Walisson Ferreira de Carvalho, Luis Enrique Zárate:
Causality relationship among attributes applied in an educational data set. SAC 2019: 1271-1277
[c53]
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Marcos Wander Rodrigues, Luis Enrique Zárate:
Time Series Analysis Using Synthetic Data for Monitoring the Temporal Behavior of Sensor Signals. SMC 2019: 453-458
[c52]
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Bruno César dos Santos, Marcos W. Rodrigues, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis E. Zárate:
Feature selection with genetic algorithm for protein function prediction. SMC 2019: 2434-2439
2018
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Marcos Wander Rodrigues, Wladmir Cardoso Brandão, Luis E. Zárate:
Recommending Scientific Collaboration from ResearchGate. BRACIS 2018: 336-341
[c50]
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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: 1-6
[c49]
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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: 454-460
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Phillip Santos, Julio C. V. Neves, Paula R. C. Silva, Sérgio M. Dias, Luis E. Zárate, Mark A. J. Song:
An Approach to Extract Proper Implications Set from High-dimension Formal Contexts using Binary Decision Diagram. ICEIS (1) 2018: 50-57
[c47]
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Wallison William Guimarães, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis E. Zárate:
TCSVM - A Cascade Approach with Transductive Inference to Predicting Protein Translation Initiation Site. IJCNN 2018: 1-8
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Wallison William Guimarães, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis E. Zárate:
Evaluation of inductive and transductive inference in the context of translation initiation site. SAC 2018: 68-71
2017
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Wallison William Guimarães, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis E. Zárate:
The Relevance of Upstream and Downstream Regions of mRNA in the Prediction of Translation Initiation Site of the Protein. BIBE 2017: 112-118
[c44]
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Paula R. C. Silva, Sérgio M. Dias, Wladmir C. Brandão, Mark A. J. Song, Luis E. Zárate:
Professional Competence Identification Through Formal Concept Analysis. ICEIS (Revised Selected Papers) 2017: 34-56
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Paula R. C. Silva, Sérgio M. Dias, Wladmir C. Brandão, Mark A. J. Song, Luis E. Zárate:
Formal Concept Analysis Applied to Professional Social Networks Analysis. ICEIS (1) 2017: 123-134
[c42]
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Leandro M. Ferreira, Cristiano Lacerda Nunes Pinto, Sérgio M. Dias, Cristiane Neri Nobre, Luis E. Zárate:
Extraction of Conservative Rules for Translation Initiation Site Prediction using Formal Concept Analysis. ICEIS (1) 2017: 265-271
[c41]
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Andressa P. C. de Oliveira, Pedro Henrique Batista Ruas da Silveira, Luis E. Zárate, Cristiane Neri Nobre:
Persuasion strategies in mobile systems: a case study of Facebook application. IHC 2017: 42:1-42:10
2015
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Gustavo Jota Resende, Nilander R. M. de Moraes, Sérgio M. Dias, Humberto T. Marques Neto, Luis E. Zárate:
Canonical Computational Models Based on Formal Concept Analysis for Social Network Analysis and Representation. ICWS 2015: 717-720
[c39]
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Pedro Henrique Batista Ruas da Silveira, Ana Maria Pereira Cardoso, Luis E. Zárate:
Caracterização do Comportamento dos Usuários da Rede Social Facebook Utilizando Métricas de Redes Complexas e Algoritmos de Clusterização. SBBD (Short Papers) 2015: 39-44
[c38]
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Sebastião M. Neto, Mark A. J. Song, Luis E. Zárate, Sérgio M. Dias:
Using implications from FCA to represent a two mode network data. SEKE 2015: 256-259
[c37]
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Sebastião M. Neto, Luis E. Zárate, Mark A. J. Song, Sérgio M. Dias:
Minimal Cover of Implication Rules to Represent Two Mode Networks. WI-IAT (1) 2015: 211-218
2014
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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: 168-174
[c35]
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Decius Pereira, Luis E. Zárate, Mark A. J. Song:
Extraction of Classes Through the Application of Formal Concept Analysis. ICEIS (2) 2014: 275-282
2013
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Decius Pereira, Luis E. Zárate, Mark A. J. Song:
Applying Formal Concept Analysis to assist class hierarchy construction in biomedical systems. BMEI 2013: 705-711
[c33]
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Andrei Rimsa, Mark A. J. Song, Luis E. Zárate:
SCGaz - A Synthetic Formal Context Generator with Density Control for Test and Evaluation of FCA Algorithms. SMC 2013: 3464-3470
2012
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Adriana Costa Monteiro, Luis Enrique Zárate Gálvez:
Prospects and limitations in the context of knowledge discovery in database for manipulation of domains through ontologies to support the modeling of data warehouse -Case study in social databases. CLEI 2012: 1-9
[c31]
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Tiago Rodrigues Lopes dos Santos, Luis Enrique Zárate:
GCA: An algorithm based on the gower similarity for clustering of categorical variables. CLEI 2012: 1-6
[c30]
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Rafael Odon de Alencar, Luis Enrique Zárate, Mark Alan Junho Song:
Sphere-M: An ontology capture method. SMC 2012: 353-358
[c29]
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Laerte M. Rodrigues, Luis E. Zárate, Cristiane Neri Nobre, Henrique C. Freitas:
Parallel and distributed kmeans to identify the translation initiation site of proteins. SMC 2012: 1639-1645
[c28]
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Rodrigo Diana, Humberto Marques-Neto, Luis E. Zárate, Mark A. J. Song:
A symbolic model checking appproach to verifying transact-SQL. SMC 2012: 1735-1741
2011
[c27]
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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: 1313-1318
[c26]
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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: 2151-2155
2010
[c25]
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Nilander R. M. de Moraes, Luis E. Zárate, Henrique C. Freitas:
A Distributed Algorithm for Formal Concepts Processing based on Search Subspaces. ICEIS (1) 2010: 105-111
[c24]
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Frederico Papatella, Tiago Figueiredo Carvalho, Luis E. Zárate, Elizabeth Marques Duarte Pereira, Mark A. J. Song:
A Framework for Solar Energy Applications Photovoltaic Systems. SEKE 2010: 292-297
[c23]
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Frederico Papatella, Tiago Figueiredo Carvalho, Luis E. Zárate, Elizabeth Marques Duarte Pereira, Mark A. J. Song:
SolarEnergy: A framework for photovoltaic systems - A case study. SMC 2010: 3160-3165
[c22]
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Enock T. Santos, Luis E. 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: 3995-4001
[c21]
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Diego Marinho de Oliveira, Cristiane Neri Nobre, Luis Henrique Zárate:
Applying neural networks to determine the socio-environmental factors responsible for potable water consumption. SMC 2010: 4346-4353
2009
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S. Campos, Julio C. V. Neves, Luis E. Zárate, Mark A. J. Song:
Distributed BMC: A Depth-First Approach to Explore Clause Symmetry. ECBS 2009: 89-94
[c19]
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Andrei Rimsa, Luis E. Zárate, Mark A. J. Song:
Evaluation of Different BDD Libraries to Extract Concepts in FCA - Perspectives and Limitations. ICCS (1) 2009: 367-376
[c18]
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Andrei Rimsa, Luis E. Zárate, Mark A. J. Song:
Handling Large Formal Context Using BDD - Perspectives and Limitations. ICFCA 2009: 194-209
[c17]
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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: 2331-2338
[c16]
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Anna Izabel J. Tostes Ribeiro, Luis E. Zárate, Fátima de L. P. Duarte-Figueiredo:
A representative validation of a neural 3G admission control through rules extraction. IJCNN 2009: 2664-2670
[c15]
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Enock T. Santos, Luis E. Zárate, Elizabeth Marques Duarte Pereira:
Climatic data neural representation for large territorial extensions: Case study for the State of Minas Gerais. IJCNN 2009: 2792-2797
2008
[c14]
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Anna Izabel T. Ribeiro, Fátima de L. P. Duarte-Figueiredo, Gabriel Novy, Carlos R. Storck, Sérgio M. Dias, Luis E. Zárate:
An Artificial Neural Network Approach for Mechanisms of Call Admission Control in UMTS 3G Networks. HIS 2008: 459-464
2007
[c13]
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Bruno M. Nogueira, Tadeu R. A. Santos, Luis E. Zárate:
Comparison of Classifiers Efficiency on Missing Values Recovering: Application in a Marketing Database with Massive Missing Data. CIDM 2007: 66-72
[c12]
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Hugo Barros, Sérgio Vale Aguiar Campos, Mark A. J. Song, Luis E. Zárate:
Exploring Clause Symmetry in a Distributed Bounded Model Checking Algorithm. ECBS 2007: 531-538
[c11]
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Luis E. Zárate, Sérgio M. Dias, Mark A. J. Song:
FCANN Method Applications for Knowledge Extraction From Previously Trained ANN. IJCNN 2007: 649-654
[c10]
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Luis E. Zárate, Fabricio R. Bittencout:
Neural Networks Applied to Adjustment and Combination of the Control Actions for the Cold Rolling Process. IJCNN 2007: 655-660
2006
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Luis E. 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: 2736-2741
[c8]
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Luis E. Zárate, Elizabeth Marques Duarte Pereira:
Parametric Analysis of Solar Collectors Through Sensitivity Factors Via Artificial Neural Networks. IJCNN 2006: 2742-2748
[c7]
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Mark A. J. Song, Luis E. 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: 631-638
[c6]
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Luis E. 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: 2658-2664
2005
[c5]
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Mark A. J. Song, Adriano C. M. Pereira, Sérgio Vale Aguiar Campos, Luis E. Zárate:
Formal Verification of Transactional Systems Based on UML Specifications. SEKE 2005: 199-204
2004
[c4]
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Luis E. Zárate, Paulo Alvarenga, Romero Paoliello, Thiago Ribeiro:
Data Mining Application to Obtain Profiles of Patients with Nephrolithiasis. ICEIS (2) 2004: 104-109
[c3]
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Luis E. 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: 147-152
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Luis E. 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: 87-96
2000
[c1]
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Luis E. Zárate:
A Model for the Simulation of a Cold Rolling Mill, Using Neural Networks and Sensitivity Factors. SBRN 2000: 185-190

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