Gustavo Enrique de Almeida Prado Alves Batista
Gustavo Enrique de Almeida Prado Alves Batista
Associate Professor, School of Computer Science and Engineering, University of New South Wales
Verifierad e-postadress på 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
21902004
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
7412012
An analysis of four missing data treatment methods for supervised learning
GE Batista, MC Monard
Applied Artificial Intelligence 17 (5-6), 519-533, 2003
7042003
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
631*2015
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
3102004
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
2952011
A Study of K-Nearest Neighbour as an Imputation Method.
GE Batista, MC Monard
HIS 87 (251-260), 48, 2002
2482002
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
1962014
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
1662013
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
1112015
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
1072003
Learning with Skewed Class Distributions
MC Monard, GE Batista
Advances in Logic, Artificial Intelligence, and Robotics: LAPTEC 2002 85, 173, 2002
972002
Pré-processamento de dados em aprendizado de máquinas supervisionado.
GE BATISTA
Tese (Doutorado)-Instituto de Ciências Matemáticas e de Computação …, 2003
96*2003
Applying one-sided selection to unbalanced datasets
G Batista, A Carvalho, M Monard
MICAI 2000: Advances in Artificial Intelligence, 315-325, 2000
932000
Curvas ROC para avaliação de classificadores
RC Prati, G Batista, MC Monard
Revista IEEE América Latina 6 (2), 215-222, 2008
90*2008
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
872013
A survey on graphical methods for classification predictive performance evaluation
R Prati, G Batista, M Monard
Knowledge and Data Engineering, IEEE Transactions on, 1-1, 2010
812010
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
802014
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
792016
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
762013
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Artiklar 1–20