Select Publications

Journal articles

Parmezan ARS; Souza VMA; Žliobaitė I; Batista GEAPA, 2021, 'Changes in the wing-beat frequency of bees and wasps depending on environmental conditions: a study with optical sensors', Apidologie, vol. 52, pp. 731 - 748, http://dx.doi.org/10.1007/s13592-021-00860-y

de Nadai BL; Maletzke AG; Corbi JJ; Batista GEAPA; Reiskind MH, 2021, 'The impact of body size on Aedes [Stegomyia] aegypti wingbeat frequency: implications for mosquito identification', Medical and Veterinary Entomology, http://dx.doi.org/10.1111/mve.12540

Souza VMA; dos Reis DM; Maletzke AG; Batista GEAPA, 2020, 'Challenges in benchmarking stream learning algorithms with real-world data', Data Mining and Knowledge Discovery, vol. 34, pp. 1805 - 1858, http://dx.doi.org/10.1007/s10618-020-00698-5

Reis DD; de Souto M; de Sousa E; Batista G, 2020, 'Quantifying With Only Positive Training Data', arXiv preprint arXiv:2004.10356

Parmezan ARS; Souza VMA; Batista GEAPA, 2019, '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', Information Sciences, vol. 484, pp. 302 - 337

Silva DF; Yeh C-CM; Zhu Y; Batista GEAPA; Keogh E, 2019, 'Fast similarity matrix profile for music analysis and exploration', IEEE Transactions on Multimedia, vol. 21, pp. 29 - 38, http://dx.doi.org/10.1109/TMM.2018.2849563

Maletzke AG; dos Reis DM; Batista GEAPA, 2018, 'Combining instance selection and self-training to improve data stream quantification', Journal of the Brazilian Computer Society, vol. 24, pp. 12 - 12, http://dx.doi.org/10.1186/s13173-018-0076-0

Silva DF; Giusti R; Keogh E; Batista GEAPA, 2018, 'Speeding up similarity search under dynamic time warping by pruning unpromising alignments', Data Mining and Knowledge Discovery, vol. 32, pp. 988 - 1016

Souza V; Rossi RG; Batista GEAPA; Rezende SO, 2017, 'Unsupervised active learning techniques for labeling training sets: An experimental evaluation on sequential data', Intelligent Data Analysis, vol. 21, pp. 1061 - 1095

Batista GEAPA; Delgado M; Bernardini F, 2015, 'ENIAC 2013 Special Issue', Journal of Intelligent and Robotic Systems: Theory and Applications, vol. 80, pp. 225 - 226, http://dx.doi.org/10.1007/s10846-015-0260-9

Silva DF; Souza VMA; Ellis DPW; Keogh EJ; Batista GEAPA, 2015, 'Exploring Low Cost Laser Sensors to Identify Flying Insect Species: Evaluation of Machine Learning and Signal Processing Methods', Journal of Intelligent and Robotic Systems: Theory and Applications, vol. 80, pp. 313 - 330, http://dx.doi.org/10.1007/s10846-014-0168-9

Prati RC; Batista GEAPA; Silva DF, 2015, 'Class imbalance revisited: a new experimental setup to assess the performance of treatment methods', Knowledge and Information Systems, vol. 45, pp. 247 - 270

Silva DF; Souza VMA; Ellis DPW; Keogh EJ; Batista GEAPA, 2015, 'Exploring low cost laser sensors to identify flying insect species', Journal of Intelligent & Robotic Systems, vol. 80, pp. 313 - 330

Chen Y; Why A; Batista G; Mafra-Neto A; Keogh E, 2014, 'Flying Insect Classification with Inexpensive Sensors', Journal of Insect Behavior, vol. 27, pp. 657 - 677, http://dx.doi.org/10.1007/s10905-014-9454-4

Batista GEAPA; Keogh EJ; Tataw OM; De Souza VMA, 2014, 'CID: an efficient complexity-invariant distance for time series', Data Mining and Knowledge Discovery, vol. 28, pp. 634 - 669

Del Gaudio R; Batista G; Branco A, 2014, 'Coping with highly imbalanced datasets: A case study with definition extraction in a multilingual setting', Natural Language Engineering, vol. 20, pp. 327 - 359

Chen Y; Why A; Batista G; Mafra-Neto A; Keogh E, 2014, 'Flying insect classification with inexpensive sensors', Journal of insect behavior, vol. 27, pp. 657 - 677

Chen Y; Why A; Batista G; Mafra-Neto A; Keogh E, 2014, 'Flying insect detection and classification with inexpensive sensors', JoVE (Journal of Visualized Experiments), pp. e52111 - e52111

Parmezan ARS; Batista GEAPA; others , 2014, 'ICMC-USP time series prediction repository', Instituto de Ciências Matemáticas e de Computaçao, Universidade de Sao Paulo, Sao Carlos, Brasil. URL https://goo. gl/uzxGZJ

Silva DF; de Souza VMAA; Batista GEAPA, 2013, 'A comparative study between MFCC and LSF coefficients in automatic recognition of isolated digits pronounced in Portuguese and English', Acta Scientiarum. Technology, vol. 35, pp. 621 - 628

Rakthanmanon T; Campana B; Mueen A; Batista G; Westover B; Zhu Q; Zakaria J; Keogh E, 2013, 'Addressing big data time series: Mining trillions of time series subsequences under dynamic time warping', ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 7, pp. 1 - 31

Rakthanmanon T; Campana B; Mueen A; Batista G; Westover B; Zhu Q; Zakaria J; Keogh E, 2013, 'Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping.', ACM Trans Knowl Discov Data, vol. 7, https://www.ncbi.nlm.nih.gov/pubmed/31607834

Prati RC; Batista GEAPA, 2012, 'A complexity-invariant measure based on fractal dimension for time series classification', International Journal of Natural Computing Research (IJNCR), vol. 3, pp. 59 - 73

Prati RC; Batista GEAPA; Monard MC, 2011, 'A survey on graphical methods for classification predictive performance evaluation', IEEE Transactions on Knowledge and Data Engineering, vol. 23, pp. 1601 - 1618, http://dx.doi.org/10.1109/TKDE.2011.59

Milaré CR; Batista GEAPA; Carvalho ACPLF, 2011, 'A hybrid approach to learn with imbalanced classes using evolutionary algorithms', Logic Journal of IGPL, vol. 19, pp. 293 - 293

Prati R; Batista G; Monard M, 2010, 'A survey on graphical methods for classification predictive performance evaluation', Knowledge and Data Engineering, IEEE Transactions on, pp. 1 - 1

Prati RC; Batista GEDAPA; Monard MC, 2008, 'Evaluating classifiers using ROC curves', IEEE Latin America Transactions, vol. 6, pp. 215 - 222, http://dx.doi.org/10.1109/TLA.2008.4609920

Prati RC; Batista GEAPA; Monard MC, 2008, 'Curvas ROC para avaliaç ao de classificadores', Revista IEEE América Latina, vol. 6, pp. 215 - 222

Batista GEAPA; Milaré CR; Prati RC; Monard MC, 2006, 'A Comparison of Methods for Rule Subset Selection Applied to Associative Classification.', Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial, vol. 10, pp. 29 - 35

Batista G; Prati R; Monard M, 2005, 'Balancing strategies and class overlapping', Advances in Intelligent Data Analysis VI, pp. 741 - 741

Batista GEAPA; Prati RC; Monard MC, 2004, 'A study of the behavior of several methods for balancing machine learning training data', ACM SIGKDD Explorations Newsletter, vol. 6, pp. 20 - 29

Milaré C; Batista G; de Carvalho A; Monard M, 2004, 'Applying genetic and symbolic learning algorithms to extract rules from artificial neural networks', MICAI 2004: Advances in Artificial Intelligence, pp. 833 - 843

Prati R; Batista G; Monard M, 2004, 'Class imbalances versus class overlapping: an analysis of a learning system behavior', MICAI 2004: Advances in Artificial Intelligence, pp. 312 - 321

Batista GEAPA; Monard MC, 2003, 'An analysis of four missing data treatment methods for supervised learning', Applied Artificial Intelligence, vol. 17, pp. 519 - 533

Batista GEAPA; Monard MC, 2003, 'Descriç ao da arquitetura e do projeto do ambiente computacional DISCOVER LEARNING ENVIRONMENT—DLE', Relatório Técnico do ICMC/USP

Batista GEAPA; Monard MC, 2003, 'Experimental comparison of K-nearest neighbour and mean or mode imputation methods with the internal strategies used by C4. 5 and CN2 to treat missing data', University of Sao Paulo

Batista GEAPA; Monard MC, 2002, 'A Study of K-Nearest Neighbour as an Imputation Method.', HIS, vol. 87, pp. 48 - 48

Batista GEAPA; Monard MC, 2002, 'K-Nearest Neighbour as Imputation Method: Experimental Results', Technical report, ICMC-USP

Monard MC; Batista GEAPA, 2002, 'Learning with Skewed Class Distributions', Advances in Logic, Artificial Intelligence, and Robotics: LAPTEC 2002, vol. 85, pp. 173 - 173

Batista G; Carvalho A; Monard M, 2000, 'Applying one-sided selection to unbalanced datasets', MICAI 2000: Advances in Artificial Intelligence, pp. 315 - 325

Batista GEAPA, 1997, 'Um ambiente de avaliaçao de algoritmos de aprendizado de máquina utilizando exemplos', Dissertaç ao de Mestrado, ICMC-USP


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