Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Symbolic Representation Method to Preserve the Characteristic Slope of Time Series.

W. Zalewski, F. Silva, F. Wu, H. Lee, and A. Maletzke. SBIA, volume 7589 of Lecture Notes in Computer Science, page 132-141. Springer, (2012)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

André Jaquemod University of Stuttgart

Univ. -Prof. Dr. rer. nat. André Thess University of Stuttgart

Dr. -Ing. André Buchau University of Stuttgart

André Weiß University of Stuttgart

André Loescher University of Stuttgart

Other publications of authors with the same name

Exploring shapelet transformation for time series classification in decision trees.W. Zalewski, F. Silva, A. Maletzke, and C. Ferrero. Knowl.-Based Syst., (2016)Classifying and Counting with Recurrent Contexts.D. dos Reis, A. Maletzke, D. Silva, and G. Batista. KDD, page 1983-1992. ACM, (2018)DyS: A Framework for Mixture Models in Quantification.A. Maletzke, D. dos Reis, E. Cherman, and G. Batista. AAAI, page 4552-4560. AAAI Press, (2019)Unsupervised context switch for classification tasks on data streams with recurrent concepts.D. dos Reis, A. Maletzke, and G. Batista. SAC, page 518-524. ACM, (2018)Evaluation of Models for the Recognition of Hadwritten Digits in Medical Forms.W. Zalewski, H. Lee, A. Caetano, A. Lorena, A. Maletzke, J. Fagundes, C. Coy, and F. Wu. BSB, volume 5167 of Lecture Notes in Computer Science, page 178-181. Springer, (2008)One-Class Quantification.D. dos Reis, A. Maletzke, E. Cherman, and G. Batista. ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 273-289. Springer, (2018)On the Need of Class Ratio Insensitive Drift Tests for Data Streams.A. Maletzke, D. dos Reis, E. Cherman, and G. Batista. LIDTA@ECML/PKDD, volume 94 of Proceedings of Machine Learning Research, page 110-124. PMLR, (2018)Quantification in Data Streams: Initial Results.A. Maletzke, D. dos Reis, and G. Batista. BRACIS, page 43-48. IEEE Computer Society, (2017)Time Series Discretization Based on the Approximation of the Local Slope Information.W. Zalewski, F. Silva, H. Lee, A. Maletzke, and F. Wu. IBERAMIA, volume 7637 of Lecture Notes in Computer Science, page 91-100. Springer, (2012)Accurately Quantifying under Score Variability.A. Maletzke, D. dos Reis, W. Hassan, and G. Batista. ICDM, page 1228-1233. IEEE, (2021)