Gustavo E. A. P. A. Batista

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2002–2021

Best venue rank

Where they publish

Papers

38 indexed papers, newest first.

Year	Venue	Title	Authors
2021	ICMLA	A Graph-Based Spatial Cross-Validation Approach for Assessing Models Learned with Selected Features to Understand Election Results.	Tiago Pinho da Silva, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista
2020	DSAA	Accurately Quantifying a Billion Instances per Second.	Waqar Hassan, Andr Gustavo Maletzke, Gustavo E. A. P. A. Batista
2020	IJCAI	The Importance of the Test Set Size in Quantification Assessment.	Andr Gustavo Maletzke, Waqar Hassan, Denis Moreira dos Reis, Gustavo E. A. P. A. Batista
2020	ICPR	Algorithm Recommendation for Data Streams.	Jder M. C. de S, Andr L. D. Rossi, Gustavo E. A. P. A. Batista, Lus Paulo F. Garcia
2019	AAAI	DyS: A Framework for Mixture Models in Quantification.	Andr Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista
2019	ICTAI	EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems.	Lucas Tsutsui da Silva, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista
2018	CIARP	Towards Hierarchical Classification of Data Streams.	Antonio Rafael Sabino Parmezan, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista
2018	ICMLA	Elastic Time Series Motifs and Discords.	Diego Furtado Silva, Gustavo E. A. P. A. Batista
2018	KDD	Classifying and Counting with Recurrent Contexts.	Denis Moreira dos Reis, Andr Gustavo Maletzke, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2018	SAC	Unsupervised context switch for classification tasks on data streams with recurrent concepts.	Denis Moreira dos Reis, Andr Gustavo Maletzke, Gustavo E. A. P. A. Batista
2016	ICDM	Prefix and Suffix Invariant Dynamic Time Warping.	Diego Furtado Silva, Gustavo E. A. P. A. Batista, Eamonn J. Keogh
2016	ICMLA	Improved Time Series Classification with Representation Diversity and SVM.	Rafael Giusti, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2016	ICPR	Constrained Local and Global Consistency for semi-supervised learning.	Celso Andr R. de Sousa, Gustavo E. A. P. A. Batista
2016	KDD	Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test.	Denis Moreira dos Reis, Peter A. Flach, Stan Matwin, Gustavo E. A. P. A. Batista
2016	SDM	Speeding Up All-Pairwise Dynamic Time Warping Matrix Calculation.	Diego Furtado Silva, Gustavo E. A. P. A. Batista
2015	ICMLA	A Study of the Use of Complexity Measures in the Similarity Search Process Adopted by kNN Algorithm for Time Series Prediction.	Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista
2015	ICMLA	Classification of Evolving Data Streams with Infinitely Delayed Labels.	Vincius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista, Joo Gama
2015	IJCNN	Effective insect recognition using a stacked autoencoder with maximum correntropy criterion.	Yu Qi, Goktug T. Cinar, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista, Yueming Wang, Jos C. Prncipe
2015	IJCNN	An experimental analysis on time series transductive classification on graphs.	Celso Andr R. de Sousa, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista
2015	IJCNN	Automatic classification of drum sounds with indefinite pitch.	Vincius M. A. de Souza, Gustavo E. A. P. A. Batista, Nilson E. Souza-Filho
2015	IDA	Time Series Classification with Representation Ensembles.	Rafael Giusti, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2015	SDM	Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency.	Vincius M. A. de Souza, Diego Furtado Silva, Joo Gama, Gustavo E. A. P. A. Batista
2014	ICMLA	Adding Diversity to Rank Examples in Anytime Nearest Neighbor Classification.	Cristiano Incio Lemes, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2014	ICPR	Time Series Transductive Classification on Imbalanced Data Sets: An Experimental Study.	Celso Andr R. de Sousa, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista
2014	ICPR	Extracting Texture Features for Time Series Classification.	Vincius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2013	ICDM	Time Series Classification Using Compression Distance of Recurrence Plots.	Diego Furtado Silva, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista
2013	ICMLA	Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps.	Diego Furtado Silva, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Daniel P. W. Ellis
2013	KDD	DTW-D: time series semi-supervised learning from a single example.	Yanping Chen, Bing Hu, Eamonn J. Keogh, Gustavo E. A. P. A. Batista
2012	KDD	Searching and mining trillions of time series subsequences under dynamic time warping.	Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh
2012	SDM	A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets.	Qiang Zhu, Gustavo E. A. P. A. Batista, Thanawin Rakthanmanon, Eamonn J. Keogh
2011	ICMLA	Towards Automatic Classification on Flying Insects Using Inexpensive Sensors.	Gustavo E. A. P. A. Batista, Yuan Hao, Eamonn J. Keogh, Agenor Mafra-Neto
2011	KDD	SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining.	Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Agenor Mafra-Neto, Edgar Rowton
2011	SDM	A Complexity-Invariant Distance Measure for Time Series.	Gustavo E. A. P. A. Batista, Xiaoyue Wang, Eamonn J. Keogh
2010	ICMLA	Classification of Live Moths Combining Texture, Color and Shape Primitives.	Gustavo E. A. P. A. Batista, Bilson J. L. Campana, Eamonn J. Keogh
2010	ICMLA	Discovering Knowledge Rules with Multi-Objective Evolutionary Computing.	Rafael Giusti, Gustavo E. A. P. A. Batista
2008	HIS	Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules.	Rafael Giusti, Gustavo E. A. P. A. Batista, Ronaldo Cristiano Prati
2005	IDA	Balancing Strategies and Class Overlapping.	Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard
2002	HIS	A Study of K-Nearest Neighbour as an Imputation Method.	Gustavo E. A. P. A. Batista, Maria Carolina Monard