Gustavo E. A. P. A. Batista

A study of the behavior of several methods for balancing machine learning training data

Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard · ACM SIGKDD Explorations Newsletter · 2004 · 4K citations

Artificial Intelligence, Engineering, Machine Learning +19

CID: an efficient complexity-invariant distance for time series

Gustavo E. A. P. A. Batista, Eamonn Keogh, Oben M. Tataw et al. · Data Mining and Knowledge Discovery · 2013 · 347 citations · Full text

Engineering, Data Science, Temporal Pattern Recognition +6

A Complexity-Invariant Distance Measure for Time Series

Gustavo E. A. P. A. Batista, Xiaoyue Wang, Eamonn Keogh · 2011 · 320 citations

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

Antonio Rafael Sabino Parmezan, Vinícius M. A. Souza, Gustavo E. A. P. A. Batista · Information Sciences · 2019 · 316 citations · Full text

Intelligent Forecasting, Forecasting Methodology, Probabilistic Forecasting +11

Balancing Training Data for Automated Annotation of Keywords: a Case Study.

Gustavo E. A. P. A. Batista, Ana L. C. Bazzan, Maria Carolina Monard · 2003 · 310 citations

Artificial Intelligence, Data Annotation, Engineering +22