Gisele L. Pappa
Orcid: 0000-0002-0349-4494
According to our database1,
Gisele L. Pappa
authored at least 139 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Genet. Program. Evolvable Mach., June, 2024
Digit. Gov. Res. Pract., March, 2024
2023
J. Inf. Data Manag., October, 2023
Impacto de Doações Eleitorais no Faturamento de Empresas: Um Estudo nas Eleições Municipais em Minas Gerais.
Proceedings of the 38th Brazilian Symposium on Databases, 2023
Mineração de Dados sobre Despesas Públicas de Municípios Mineiros para Gerar Alertas de Fraudes.
Proceedings of the 38th Brazilian Symposium on Databases, 2023
Impacto do Pré-processamento e Representação Textual na Classificação de Documentos de Licitações.
Proceedings of the 38th Brazilian Symposium on Databases, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
On the Effect of Solution Representation and Neighborhood Definition in AutoML Fitness Landscapes.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2023
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
2022
Political polarization on Twitter during the COVID-19 pandemic: a case study in Brazil.
Soc. Netw. Anal. Min., 2022
Counterfactual inference with latent variable and its application in mental health care.
Data Min. Knowl. Discov., 2022
Appl. Intell., 2022
Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022
Ferramentas open-source de qualidade de dados para licitações públicas: Uma análise comparativa.
Proceedings of the 37th Brazilian Symposium on Databases, 2022
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2022, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
ACM Trans. Knowl. Discov. Data, 2021
Multi-region symbolic regression: combining functions under a multi-objective approach.
Nat. Comput., 2021
Towards automatic diagnosis of rheumatic heart disease on echocardiographic exams through video-based deep learning.
J. Am. Medical Informatics Assoc., 2021
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms.
Evol. Intell., 2021
Proceedings of the IEEE Symposium on Computers and Communications, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Automatic Drone Identification Through Rhythm-based Features for the Internet of Drones.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
ACM Trans. Intell. Syst. Technol., 2020
Soc. Netw. Anal. Min., 2020
Entertain. Comput., 2020
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version).
CoRR, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
2019
A Multi-objective Approach for Symbolic Regression with Semantic Genetic Programming.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Eng. Appl. Artif. Intell., 2018
Reddit Weight Loss Communities: Do They Have What It Takes for Effective Health Interventions?
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018
Proceedings of the 17th Brazilian Symposium on Computer Games and Digital Entertainment, SBGames 2018, Foz do Iguaçu, Brazil, October 29, 2018
Automated Selection and Configuration of Multi-Label Classification Algorithms with Grammar-Based Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Solving the exponential growth of symbolic regression trees in geometric semantic genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Improving Energy Efficiency of Field-Coupled Nanocomputing Circuits by Evolutionary Synthesis.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
GASS-WEB: a web server for identifying enzyme active sites based on genetic algorithms.
Nucleic Acids Res., 2017
A Warm Welcome Matters!: The Link Between Social Feedback and Weight Loss in /r/loseit.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Top-down strategies for hierarchical classification of transposable elements with neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Towards a method for automatically selecting and configuring multi-label classification algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
RECIPE: A Grammar-Based Framework for Automatically Evolving Classification Pipelines.
Proceedings of the Genetic Programming - 20th European Conference, 2017
Proceedings of the Genetic Programming - 20th European Conference, 2017
Proceedings of the 2017 International Conference on Digital Health, 2017
Efficient Gaussian Process-Based Inference for Modelling Spatio-Temporal Dengue Fever.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
2016
Neurocomputing, 2016
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
Proceedings of the Genetic Programming Theory and Practice XIV, 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the 6th International Conference on Digital Health Conference, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
2015
Swarm Intell., 2015
An Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance Measures.
Comput. Intell., 2015
Proceedings of the XXX Simpósio Brasileiro de Banco de Dados, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems.
Proceedings of the Genetic Programming - 18th European Conference, 2015
Twitter Population Sample Bias and its impact on predictive outcomes: a case study on elections.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
2014
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms.
Genet. Program. Evolvable Mach., 2014
Generating Personalized Algorithms to Learn Bayesian Network Classifiers for Fraud Detection in Web Transactions.
Proceedings of the 20th Brazilian Symposium on Multimedia and the Web, 2014
Proceedings of the 8th Workshop on Social Network Mining and Analysis, 2014
An Evolutionary Methodology for Handling Data Scarcity and Noise in Monitoring Real Events from Social Media Data.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014
Proceedings of the Genetic Programming Theory and Practice XII, 2014
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
A genetic algorithm for the minimum cost localization problem in wireless sensor networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
2012
Expert Syst. Appl., 2012
Seleção de Atributos Utilizando Algoritmos Genéticos para Detecção do Vandalismo na Wikipedia.
Proceedings of the XXVII Simpósio Brasileiro de Banco de Dados, 2012
Observatório do Trânsito: sistema para detecção e localização de eventos de trânsito no Twitter.
Proceedings of the XXVII Simpósio Brasileiro de Banco de Dados, 2012
Proceedings of the ACM Symposium on Applied Computing, 2012
Traffic observatory: a system to detect and locate traffic events and conditions using Twitter.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, 2012
Roadside unit deployment for information dissemination in a VANET: an evolutionary approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
A binary classification approach for automatic preference modeling of virtual agents in Civilization IV.
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012
2011
Trans. GIS, 2011
Proceedings of the XXVI Simpósio Brasileiro de Banco de Dados, 2011
Robot routing in sparse wireless sensor networks with continuous ant colony optimization.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010
J. Inf. Data Manag., 2010
A Multi-view Approach for Detecting Non-Cooperative Users in Online Video Sharing Systems.
J. Inf. Data Manag., 2010
Michael Affenzeller, Stefan Wagner, Stephan Winkler and Andreas Beham: Genetic algorithms and genetic programming modern concepts and practical applications - CRC Press, 2009, 379 pp, ISBN 978-1584886297.
Genet. Program. Evolvable Mach., 2010
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010
Proceedings of the XXV Simpósio Brasileiro de Banco de Dados, 2010
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Adaptive Normalization: A novel data normalization approach for non-stationary time series.
Proceedings of the International Joint Conference on Neural Networks, 2010
Exploiting co-occurrence and information quality metrics to recommend tags in web 2.0 applications.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
An evolutionary algorithm to the Density Control, Coverage and Routing Multi-Period Problem in Wireless Sensor Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Evolving rule induction algorithms with multi-objective grammar-based genetic programming.
Knowl. Inf. Syst., 2009
Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins.
Intell. Data Anal., 2009
Proceedings of the XXIV Simpósio Brasileiro de Banco de Dados, 2009
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, 2009
Learning to assess the quality of scientific conferences: a case study in computer science.
Proceedings of the 2009 Joint International Conference on Digital Libraries, 2009
From an artificial neural network to a stock market day-trading system: A case study on the BM&F BOVESPA.
Proceedings of the International Joint Conference on Neural Networks, 2009
2008
Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008
2007
Automatically evolving rule induction algorithms with grammar-based genetic programming.
PhD thesis, 2007
2006
Proceedings of the Machine Learning: ECML 2006, 2006
2005
Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005
2004
Proceedings of the Advances in Artificial Intelligence, 2004
2002
Proceedings of the Advances in Artificial Intelligence, 2002