Gustavo E. A. P. A. Batista
Orcid: 0000-0002-3482-8442
According to our database1,
Gustavo E. A. P. A. Batista
authored at least 62 papers
between 2000 and 2022.
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Bibliography
2022
Geographic Context-Based Stacking Learning for Election Prediction from Socio-economic Data.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
A Graph-Based Spatial Cross-Validation Approach for Assessing Models Learned with Selected Features to Understand Election Results.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
2020
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
2019
EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Unsupervised context switch for classification tasks on data streams with recurrent concepts.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Effective insect recognition using a stacked autoencoder with maximum correntropy criterion.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
A Study of the Use of Complexity Measures in the Similarity Search Process Adopted by kNN Algorithm for Time Series Prediction.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
IGMM-CD: A Gaussian Mixture Classification Algorithm for Data Streams with Concept Drifts.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015
2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Time Series Transductive Classification on Imbalanced Data Sets: An Experimental Study.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
2012
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Searching and mining trillions of time series subsequences under dynamic time warping.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012
2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
2009
Data mining with imbalanced class distributions: concepts and methods.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009
2008
Proceedings of the Advances in Artificial Intelligence, 2008
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System.
Proceedings of the Artificial Intelligence in Theory and Practice II, 2008
Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
2005
Multi-view Semi-supervised Learning: An Approach to Obtain Different Views from Text Datasets.
Proceedings of the Advances in Logic Based Intelligent Systems, 2005
Proceedings of the Advances in Intelligent Data Analysis VI, 2005
2004
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004
Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets.
Proceedings of the Knowledge Exploration in Life Science Informatics, 2004
2003
Balancing Training Data for Automated Annotation of Keywords: a Case Study.
Proceedings of the II Brazilian Workshop on Bioinformatics, 2003
2002
Splice Junction Recognition using Machine Learning Techniques.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002
The Influence of Noisy Patterns in the Performance of Learning Methods in the Splice Junction Recognition Problem.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
A Study of K-Nearest Neighbour as an Imputation Method.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002
2000
Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000