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Gustavo Enrique de Almeida Prado Alves Batista
Gustavo Enrique de Almeida Prado Alves Batista
Andere namenGustavo Batista, Gustavo Enrique Batista, Gustavo E.A.P.A. Batista
Associate Professor, School of Computer Science and Engineering, University of New South Wales
Geverifieerd e-mailadres voor cse.unsw.edu.au
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A study of the behavior of several methods for balancing machine learning training data
GE Batista, RC Prati, MC Monard
ACM SIGKDD Explorations Newsletter 6 (1), 20-29, 2004
35372004
Searching and mining trillions of time series subsequences under dynamic time warping
T Rakthanmanon, B Campana, A Mueen, G Batista, B Westover, Q Zhu, ...
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
10932012
An analysis of four missing data treatment methods for supervised learning
GE Batista, MC Monard
Applied Artificial Intelligence 17 (5-6), 519-533, 2003
9832003
The ucr time series classification archive
Y Chen, E Keogh, B Hu, N Begum, A Bagnall, A Queen, G Batista
http://www.cs.ucr.edu/~eamonn/time_series_data/, 2015
9092015
Class imbalances versus class overlapping: an analysis of a learning system behavior
R Prati, G Batista, M Monard
MICAI 2004: Advances in Artificial Intelligence, 312-321, 2004
4312004
A Study of K-Nearest Neighbour as an Imputation Method
GE Batista, MC Monard
HIS 87 (251-260), 48, 2002
4302002
A Complexity-Invariant Distance Measure for Time Series
G Batista, X Wang, E Keogh
SDM-2011: Proceedings of SIAM International Conference on Data Mining, 2011
3982011
CID: an efficient complexity-invariant distance for time series
GE Batista, EJ Keogh, OM Tataw, VMA De Souza
Data Mining and Knowledge Discovery 28 (3), 634-669, 2014
3302014
Balancing training data for automated annotation of keywords: a case study
G Batista, AL Bazan, MC Monard
Proceedings of the Second Brazilian Workshop on Bioinformatics, 35-43, 2003
3122003
Addressing big data time series: Mining trillions of time series subsequences under dynamic time warping
T Rakthanmanon, B Campana, A Mueen, G Batista, B Westover, Q Zhu, ...
ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (3), 1-31, 2013
2642013
Class imbalance revisited: a new experimental setup to assess the performance of treatment methods
RC Prati, GE Batista, DF Silva
Knowledge and Information Systems 45 (1), 247-270, 2015
1802015
Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model
ARS Parmezan, VMA Souza, GE Batista
Information sciences 484, 302-337, 2019
1532019
Hexagon-ML: the UCR time series classification archive, October 2018
HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ...
139*2018
Speeding up all-pairwise dynamic time warping matrix calculation
DF Silva, GE Batista
Proceedings of the 2016 SIAM International Conference on Data Mining, 837-845, 2016
1372016
Curvas ROC para avaliação de classificadores
RC Prati, G Batista, MC Monard
Revista IEEE América Latina 6 (2), 215-222, 2008
136*2008
Flying insect classification with inexpensive sensors
Y Chen, A Why, G Batista, A Mafra-Neto, E Keogh
Journal of insect behavior 27 (5), 657-677, 2014
1352014
Pré-processamento de dados em aprendizado de máquinas supervisionado.
GE BATISTA
Tese (Doutorado)-Instituto de Ciências Matemáticas e de Computação …, 2003
131*2003
Influence of graph construction on semi-supervised learning
CAR de Sousa, SO Rezende, GE Batista
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
1232013
Applying one-sided selection to unbalanced datasets
G Batista, A Carvalho, M Monard
MICAI 2000: Advances in Artificial Intelligence, 315-325, 2000
1192000
DTW-D: time series semi-supervised learning from a single example
Y Chen, B Hu, E Keogh, GE Batista
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
1182013
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Artikelen 1–20