Gisele L. Pappa

According to our database1, Gisele L. Pappa authored at least 104 papers between 2002 and 2018.

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Bibliography

2018
Strategies for combining Twitter users geo-location methods.
GeoInformatica, 2018

A customized classification algorithm for credit card fraud detection.
Eng. Appl. of AI, 2018

Selective harvesting over networks.
Data Min. Knowl. Discov., 2018

Multi-label classification search space in the MEKA software.
CoRR, 2018

Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach.
CoRR, 2018

Solving the Exponential Growth of Symbolic Regression Trees in Geometric Semantic Genetic Programming.
CoRR, 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

Implementation and Analysis of a Non-deterministic Drama Manager.
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


An Approximative Bayes-Optimal Kernel Classifier Based on Version Space Reduction.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Analysing symbolic regression benchmarks under a meta-learning approach.
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

Multi-objective Evolutionary Rank Aggregation for Recommender Systems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Strategies for Short Text Representation in the Word Vector Space.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Exploiting Multiple Recommenders to Improve Group Recommendation.
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 Research, 2017

H3AD: A hybrid hyper-heuristic for algorithm design.
Inf. Sci., 2017

A general framework to expand short text for topic modeling.
Inf. Sci., 2017

BRACIS 2015: Progress in computation intelligence in Brazil.
Neurocomputing, 2017

Selective Harvesting over Networks.
CoRR, 2017

How Noisy Data Affects Geometric Semantic Genetic Programming.
CoRR, 2017

A Warm Welcome Matters! The Link Between Social Feedback and Weight Loss in /r/loseit.
CoRR, 2017

Enhancement of Epidemiological Models for Dengue Fever Based on Twitter Data.
CoRR, 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

How noisy data affects geometric semantic genetic programming.
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

Strategies for Improving the Distribution of Random Function Outputs in GSGP.
Proceedings of the Genetic Programming - 20th European Conference, 2017

Enhancement of Epidemiological Models for Dengue Fever Based on Twitter Data.
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
Exploring multiple evidence to infer users' location in Twitter.
Neurocomputing, 2016

The Effect of Social Feedback in a Reddit Weight Loss Community.
CoRR, 2016

Reducing Dimensionality to Improve Search in Semantic Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

A Generic Framework for Building Dispersion Operators in the Semantic Space.
Proceedings of the Genetic Programming Theory and Practice XIV, 2016

Discovering Combos in Fighting Games with Evolutionary Algorithms.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

A Dispersion Operator for Geometric Semantic Genetic Programming.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

The Effect of Social Feedback in a Reddit Weight Loss Community.
Proceedings of the 6th International Conference on Digital Health Conference, 2016

Evolutionary rank aggregation for recommender systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Topic Modeling for Short Texts with Co-occurrence Frequency-Based Expansion.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Revisiting the Sequential Symbolic Regression Genetic Programming.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

An Accurate Gaussian Process-Based Early Warning System for Dengue Fever.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
An ant colony-based semi-supervised approach for learning classification rules.
Swarm Intelligence, 2015

An Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance Measures.
Computational Intelligence, 2015

GASS: identifying enzyme active sites with genetic algorithms.
Bioinformatics, 2015

Uma Estratégia não Supervisionada para Previsão de Eventos usando Redes Sociais.
Proceedings of the XXX Simpósio Brasileiro de Banco de Dados, 2015

MeGASS: Multi-Objective Genetic Active Site Search.
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.
Genetic Programming and Evolvable Machines, 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

Inferring User Social Class in Online Social Networks.
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

A Hyper-Heuristic Evolutionary Algorithm for Learning Bayesian Network Classifiers.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

Sequential Symbolic Regression with Genetic Programming.
Proceedings of the Genetic Programming Theory and Practice XII, 2014

Generating Cohesive Semantic Topics from Latent Factors.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
GUARD: A Genetic Unified Approach for Recommendation.
JIDM, 2013

Towards a method for automatically evolving bayesian network classifiers.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A new representation for instance-based clonal selection algorithms.
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

Uncovering the Location of Twitter Users.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012
A methodology for photometric validation in vehicles visual interactive systems.
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

Rushes video summarization based on spatio-temporal features.
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
Inferring the Location of Twitter Messages Based on User Relationships.
Trans. GIS, 2011

Unificação de Usuários em Redes Sociais.
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

Semi-supervised genetic programming for classification.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Assessing documents' credibility with genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

A PSO algorithm for improving multi-view classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

HCGA: A genetic algorithm for hierarchical classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Creating Rule Ensembles from Automatically-Evolved Rule Induction Algorithms.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Automatic Document Classification Temporally Robust.
JIDM, 2010

Estimating the Credibility of Examples in Automatic Document Classification.
JIDM, 2010

A Multi-view Approach for Detecting Non-Cooperative Users in Online Video Sharing Systems.
JIDM, 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.
Genetic Programming and Evolvable Machines, 2010

Temporally-aware algorithms for document classification.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Combinando Multi-Visões através de um Algoritmo de Nuvens de Partículas.
Proceedings of the XXV Simpósio Brasileiro de Banco de Dados, 2010

A new methodology for photometric validation in vehicles visual interactive systems.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Demand-Driven Tag Recommendation.
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

Tuning Genetic Programming parameters with factorial designs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Active Learning Genetic programming for record deduplication.
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
Genetic Programming for Automatically Constructing Data Mining Algorithms.
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

Classificação Automática de Documentos Robusta Temporalmente.
Proceedings of the XXIV Simpósio Brasileiro de Banco de Dados, 2009

Exploiting contexts to deal with uncertainty in classification.
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
Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming.
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
Automatically Evolving Rule Induction Algorithms.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Predicting post-synaptic activity in proteins with data mining.
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
Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection.
Proceedings of the Advances in Artificial Intelligence, 2004

2002
Attribute Selection with a Multi-objective Genetic Algorithm.
Proceedings of the Advances in Artificial Intelligence, 2002


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