Luis E. Zárate
Orcid: 0000-0001-7063-1658Affiliations:
- Pontifical Catholic University of Minas Gerais, Institute of Exact Sciences and Informatics, Belo Horizonte, MG, Brazil
- Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil (PhD 1998)
According to our database1,
Luis E. Zárate
authored at least 112 papers
between 2000 and 2024.
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Bibliography
2024
Triadic Rules for Analysis of Productive and Well-Being Social in Activity-Based Working Environments.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
Application of Formal Concept Analysis to Characterize Driving Behaviors and Socio-Cultural Factors Related to Driving.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
Longitudinal Data Analysis Based on Triadic Rules to Describe of the Psychological Reactions During COVID 19 Pandemic.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
CSSE - An agnostic method of counterfactual, selected, and social explanations for classification models.
Expert Syst. Appl., October, 2023
Prediction of enzymatic function with high efficiency and a reduced number of features using genetic algorithm.
Comput. Biol. Medicine, May, 2023
Parallelism in the Generation of Concepts Through the Formal Context Object Partitioning Using the In-Close 4 Algorithm.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023
2022
Pattern Recognit., 2022
J. Univers. Comput. Sci., 2022
Application of Formal Concept Analysis and Data Mining to Characterize Infant Mortality in Two Regions of the State of Minas Gerais.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022
A Review of the Main Factors, Computational Methods, and Databases Used in Depression Studies.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
Selection of Representative Instances using Ant Colony: A Case Study in a Database of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
Data Balancing using Deep Convolutional Generative Adversarial Networks (DCGAN) in Patients with Congenital Syndrome by Zika Virus.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
2021
Effectively clustering researchers in scientific collaboration networks: case study on ResearchGate.
Soc. Netw. Anal. Min., 2021
Evaluating biological characteristics for protein function prediction using support vector machine.
Int. J. Bioinform. Res. Appl., 2021
Characterizing Infant Mortality Using Data Mining - A Case Study in Two Brazilian States - Santa Catarina and Amapá.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
Interpreting the Human Longevity Profile Through Triadic Rules - A Case Study Based on the ELSA-UK Longitudinal Study.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
Analysis of School Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder: A Dimensionality Reduction Approach.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
Towards Interpretable Machine Learning Models to Aid the Academic Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder.
Proceedings of the Biomedical Engineering Systems and Technologies, 2021
2020
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., 2020
Extraction of qualitative behavior rules for industrial processes from reduced concept lattice.
Intell. Data Anal., 2020
Exploring Different Paradigms to Extract Proper Implications From High Dimensional Formal Contexts.
IEEE Access, 2020
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020
An FCA-based Approach to Direct Edges in a Causal Bayesian Network: A Pilot Study using a Surgery Data Set.
Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020
2019
J. Inf. Data Manag., 2019
A Fast Parallel K-Modes Algorithm for Clustering Nucleotide Sequences to Predict Translation Initiation Sites.
J. Comput. Biol., 2019
Expert Syst. Appl., 2019
Identification and characterisation of Facebook user profiles considering interaction aspects.
Behav. Inf. Technol., 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Time Series Analysis Using Synthetic Data for Monitoring the Temporal Behavior of Sensor Signals.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019
Improving the quality of enzyme prediction by using feature selection and dimensionality reduction.
Proceedings of the International Joint Conference on Neural Networks, 2019
Genetic Algorithms for Feature Selection in the Children and Adolescents Depression Context.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 21st International Conference on Enterprise Information Systems, 2019
Proceedings of the 11th International Conference on Computer Supported Education, 2019
2018
Telematics Informatics, 2018
Cascade Support Vector Machines applied to the Translation Initiation Site prediction problem.
J. Inf. Data Manag., 2018
Handling high dimensionality contexts in formal concept analysis via binary decision diagrams.
Inf. Sci., 2018
ImplicPBDD: A New Approach to Extract Proper Implications Set from High-Dimension Formal Contexts Using a Binary Decision Diagram <sup>†</sup>.
Inf., 2018
Int. J. Web Inf. Syst., 2018
Evaluation of inductive and transductive inference in the context of translation initiation site.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
TCSVM - A Cascade Approach with Transductive Inference to Predicting Protein Translation Initiation Site.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
An Approach to Extract Proper Implications Set from High-dimension Formal Contexts using Binary Decision Diagram.
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018
Proceedings of the 10th International Conference on Computer Supported Education, 2018
Multi-Objective Genetic Algorithm for Feature Selection in a Protein Function Prediction Context.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research.
WIREs Data Mining Knowl. Discov., 2017
Transductive learning as an alternative to translation initiation site identification.
BMC Bioinform., 2017
Proceedings of the XVI Brazilian Symposium on Human Factors in Computing Systems, 2017
Proceedings of the Enterprise Information Systems - 19th International Conference, 2017
Proceedings of the ICEIS 2017, 2017
Extraction of Conservative Rules for Translation Initiation Site Prediction using Formal Concept Analysis.
Proceedings of the ICEIS 2017, 2017
The Relevance of Upstream and Downstream Regions of mRNA in the Prediction of Translation Initiation Site of the Protein.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017
2016
J. Inf. Data Manag., 2016
Parallelization of the next Closure algorithm for generating the minimum set of implication rules.
Artif. Intell. Res., 2016
2015
Characterization of time series for analyzing of the evolution of time series clusters.
Expert Syst. Appl., 2015
Expert Syst. Appl., 2015
Data mining in the reduction of the number of places of experiments for plant cultivates.
Comput. Electron. Agric., 2015
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015
Caracterização do Comportamento dos Usuários da Rede Social Facebook Utilizando Métricas de Redes Complexas e Algoritmos de Clusterização.
Proceedings of the XXX Simpósio Brasileiro de Banco de Dados, 2015
Canonical Computational Models Based on Formal Concept Analysis for Social Network Analysis and Representation.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015
2014
Intell. Data Anal., 2014
Proceedings of the ICEIS 2014, 2014
A Genetic Algorithm for the Selection of Features Used in the Prediction of Protein Function.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014
2013
Intell. Autom. Soft Comput., 2013
Hybrid thermal model for swimming pools based on artificial neural networks for southeast region of Brazil.
Expert Syst. Appl., 2013
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., 2013
Expert Syst. Appl., 2013
SCGaz - A Synthetic Formal Context Generator with Density Control for Test and Evaluation of FCA Algorithms.
Proceedings of the IEEE International Conference on Systems, 2013
Applying Formal Concept Analysis to assist class hierarchy construction in biomedical systems.
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013
2012
Intell. Autom. Soft Comput., 2012
Parallel and distributed kmeans to identify the translation initiation site of proteins.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
GCA: An algorithm based on the gower similarity for clustering of categorical variables.
Proceedings of the 2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI), 2012
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.
Proceedings of the 2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI), 2012
2011
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., 2011
Prediction of protein translation initiation site from the perspective of imbalanced classes.
Proceedings of the IEEE International Conference on Systems, 2011
The use of artificial neural networks in the analysis and prediction of stock prices.
Proceedings of the IEEE International Conference on Systems, 2011
2010
Neural models to insert climatic information in thermal model of swimming pools - simulation for different climate conditions and profile of human activity.
Proceedings of the IEEE International Conference on Systems, 2010
Proceedings of the IEEE International Conference on Systems, 2010
Applying neural networks to determine the socio-environmental factors responsible for potable water consumption.
Proceedings of the IEEE International Conference on Systems, 2010
A Framework for Solar Energy Applications Photovoltaic Systems.
Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010
A Distributed Algorithm for Formal Concepts Processing based on Search Subspaces.
Proceedings of the ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 1, DISI, Funchal, Madeira, Portugal, June 8, 2010
2009
Qualitative behavior rules for the cold rolling process extracted from trained ANN via the FCANN method.
Eng. Appl. Artif. Intell., 2009
Climatic data neural representation for large territorial extensions: Case study for the State of Minas Gerais.
Proceedings of the International Joint Conference on Neural Networks, 2009
A representative validation of a neural 3G admission control through rules extraction.
Proceedings of the International Joint Conference on Neural Networks, 2009
The usage of Artificial Neural Networks in the classification and forecast of potable water consumption.
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the Formal Concept Analysis, 7th International Conference, 2009
Evaluation of Different BDD Libraries to Extract Concepts in FCA - Perspectives and Limitations.
Proceedings of the Computational Science, 2009
Proceedings of the 16th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems, 2009
2008
FCANN: A new approach for extraction and representation of knowledge from ANN trained via Formal Concept Analysis.
Neurocomputing, 2008
An Artificial Neural Network Approach for Mechanisms of Call Admission Control in UMTS 3G Networks.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Neural Networks Applied to Adjustment and Combination of the Control Actions for the Cold Rolling Process.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the 14th Annual IEEE International Conference and Workshop on Engineering of Computer Based Systems (ECBS 2007), 2007
Comparison of Classifiers Efficiency on Missing Values Recovering: Application in a Marketing Database with Massive Missing Data.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007
2006
Techniques for Missing Value Recovering in Imbalanced Databases: Application in a Marketing Database with Massive Missing Data.
Proceedings of the IEEE International Conference on Systems, 2006
SOPHIANN: A Tool for Extraction Knowledge Rules from ANN Previously Trained A Case Study.
Proceedings of the Eighteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2006), 2006
Techniques for Training Sets Selection in the Representation of a Thermosiphon System Via ANN.
Proceedings of the International Joint Conference on Neural Networks, 2006
Parametric Analysis of Solar Collectors Through Sensitivity Factors Via Artificial Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Formal Verification of Transactional Systems Based on UML Specifications.
Proceedings of the 17th International Conference on Software Engineering and Knowledge Engineering (SEKE'2005), 2005
2004
Neural Representation of a Solar Collector with Statistical Optimization of the Training Set.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004
Optimization of Neural Network's Training Sets via Clustering: Application in Solar Collector Representation.
Proceedings of the ICEIS 2004, 2004
Data Mining Application to Obtain Profiles of Patients with Nephrolithiasis.
Proceedings of the ICEIS 2004, 2004
2000
A Model for the Simulation of a Cold Rolling Mill, Using Neural Networks and Sensitivity Factors.
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000