Chotirat Ann Ratanamahatana

发表

Accurate subsequence matching on data stream under time warping distance

Vit Niennattrakul, Dechawut Wanichsan, Chotirat Ann Ratanamahatana, 2009, ECTI-CON 2009.

Improving efficiency and effectiveness of dynamic time warping in large time series databases

Chotirat Ann Ratanamahatana, Eamonn Keogh, 2005 .

Deep Convolutional Neural Network with Edge Feature for Image Denoising

Chotirat Ann Ratanamahatana, Supakorn Chupraphawan, C. Ratanamahatana, 2019, Recent Advances in Information and Communication Technology 2019.

Assumption-Free Anomaly Detection in Time Series

Li Wei, Stefano Lonardi, Chotirat Ann Ratanamahatana, 2005, SSDBM.

A Dimensionality Reduction Technique for Time Series Classification Using Additive Representation

Chotirat Ann Ratanamahatana, Kukkong Sirisambhand, 2019 .

Compression-based data mining of sequential data

Li Wei, John C. Handley, Eamonn J. Keogh, 2007, Data Mining and Knowledge Discovery.

Fast and accurate template averaging for time series classification

Chotirat Ann Ratanamahatana, Thapanan Janyalikit, Phongsakorn Sathianwiriyakhun, 2016, 2016 8th International Conference on Knowledge and Smart Technology (KST).

Dual Increment Shapelets: A Scalable Shapelet Discovery for Time Series Classification

Chotirat Ann Ratanamahatana, Nattakit Vichit, 2019 .

Exact indexing of dynamic time warping

Eamonn J. Keogh, Chotirat Ann Ratanamahatana, Eamonn Keogh, 2002, Knowledge and Information Systems.

Enhanced Weighted Dynamic Time Warping for Time Series Classification

Chotirat Ann Ratanamahatana, Pichamon Anantasech, C. Ratanamahatana, 2018, Advances in Intelligent Systems and Computing.

Influential Factors of an Asynchronous BCI for Movement Intention Detection

Chotirat Ann Ratanamahatana, Sura Rodpongpun, Thapanan Janyalikit, 2020, Comput. Math. Methods Medicine.

Everything you know about Dynamic Time Warping is Wrong

Eamonn J. Keogh, Chotirat Ann Ratanamahatana, Eamonn Keogh, 2004 .

Automatic 2D hydrophobic cluster alignment

Chotirat Ann Ratanamahatana, Rath Pichyangkura, Phisit Kannasut, 2010 .

Selective Bayesian Classifier: Feature Selection For The Naive Bayesian Classifier Using Decision Trees

Dimitrios Gunopulos, Chotirat Ann Ratanamahatana, 2002 .

A Practical Tool for Visualizing and Data Mining Medical Time Series

Li Wei, Eamonn J. Keogh, Stefano Lonardi, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

A novel technique for indexing video surveillance data

Chotirat Ann Ratanamahatana, Eamonn Keogh, Bhrigu Celly, 2003, IWVS '03.

Multiple Shape-based Template Matching for time series data

Vit Niennattrakul, Chotirat Ann Ratanamahatana, Warissara Meesrikamolkul, 2011, The 8th Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI) Association of Thailand - Conference 2011.

Efficient Subsequence Search on Streaming Data Based on Time Warping Distance

Vit Niennattrakul, Chotirat Ann Ratanamahatana, Sura Rodpongpun, 1970 .

Time Series Motif Discovery Using Approximated Matrix Profile

Chotirat Ann Ratanamahatana, Korakot Pariwatthanasak, 2019 .

Making Image Retrieval and Classification More Accurate Using Time Series and Learned Constraints

Vit Niennattrakul, Chotirat Ann Ratanamahatana, Eamonn Keogh, 2009 .

Preface to the International Workshop on Spatial and Spatio-Temporal Data Mining

Dimitrios Gunopulos, Eamonn J. Keogh, Alfredo Cuzzocrea, 2011, IEEE ICDM 2011.

Fast time series classification using numerosity reduction

Li Wei, Eamonn J. Keogh, Chotirat Ann Ratanamahatana, 2006, ICML.

Efficient Time Series Classification under Template Matching Using Time Warping Alignment

Chotirat Ann Ratanamahatana, Dararat Srisai, 2009, 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology.

An Enhanced Time Series Classification Using Linear-Regression Based Shape Descriptor

Chotirat Ann Ratanamahatana, Silumpa Arnupapsanyakorn, C. Ratanamahatana, 2019, DSIT.