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Chotirat (Ann) Ratanamahatana
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- affiliation: University of California, Riverside, USA
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2020 – today
- 2022
- [j14]Thapanan Janyalikit, Chotirat Ann Ratanamahatana:
Time Series Shapelet-Based Movement Intention Detection Toward Asynchronous BCI for Stroke Rehabilitation. IEEE Access 10: 41693-41707 (2022) - 2020
- [j13]Sura Rodpongpun, Thapanan Janyalikit, Chotirat Ann Ratanamahatana:
Influential Factors of an Asynchronous BCI for Movement Intention Detection. Comput. Math. Methods Medicine 2020: 8573754:1-8573754:12 (2020)
2010 – 2019
- 2019
- [j12]Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh:
The UCR time series archive. IEEE CAA J. Autom. Sinica 6(6): 1293-1305 (2019) - [c33]Silumpa Arnupapsanyakorn, Chotirat Ann Ratanamahatana:
An Enhanced Time Series Classification Using Linear-Regression Based Shape Descriptor. DSIT 2019: 85-91 - 2018
- [c32]Ariyawat Chonbodeechalermroong, Chotirat Ann Ratanamahatana:
Robust Scale-Invariant Normalization and Similarity Measurement for Time Series Data. ACIIDS (Extended Posters) 2018: 149-160 - [i5]Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh:
The UCR Time Series Archive. CoRR abs/1810.07758 (2018) - 2016
- [c31]Thapanan Janyalikit, Phongsakorn Sathianwiriyakhun, Haemwaan Sivaraks, Chotirat Ann Ratanamahatana:
An Enhanced Support Vector Machine for Faster Time Series Classification. ACIIDS (1) 2016: 616-625 - [c30]Phongsakorn Sathianwiriyakhun, Thapanan Janyalikit, Chotirat Ann Ratanamahatana:
Fast and accurate template averaging for time series classification. KST 2016: 49-54 - 2015
- [j11]Haemwaan Sivaraks, Chotirat Ann Ratanamahatana:
Robust and Accurate Anomaly Detection in ECG Artifacts Using Time Series Motif Discovery. Comput. Math. Methods Medicine 2015: 453214:1-453214:20 (2015) - 2014
- [c29]Navin Madicar, Haemwaan Sivaraks, Sura Rodpongpun, Chotirat Ann Ratanamahatana:
An Enhanced Parameter-Free Subsequence Time Series Clustering for High-Variability-Width Data. SCDM 2014: 419-429 - 2013
- [c28]Sorrachai Yingchareonthawornchai, Haemwaan Sivaraks, Thanawin Rakthanmanon, Chotirat Ann Ratanamahatana:
Efficient Proper Length Time Series Motif Discovery. ICDM 2013: 1265-1270 - 2012
- [j10]Vit Niennattrakul, Dararat Srisai, Chotirat Ann Ratanamahatana:
Shape-based template matching for time series data. Knowl. Based Syst. 26: 1-8 (2012) - [j9]Sura Rodpongpun, Vit Niennattrakul, Chotirat Ann Ratanamahatana:
Selective Subsequence Time Series clustering. Knowl. Based Syst. 35: 361-368 (2012) - [c27]Supawadee Saengsri, Vit Niennattrakul, Chotirat Ann Ratanamahatana:
TFRS: Thai finger-spelling sign language recognition system. DICTAP 2012: 457-462 - [c26]Warissara Meesrikamolkul, Vit Niennattrakul, Chotirat Ann Ratanamahatana:
Shape-Based Clustering for Time Series Data. PAKDD (1) 2012: 530-541 - 2011
- [i4]Supasate Choochaisri, Vit Niennattrakul, Saran Jenjaturong, Chalermek Intanagonwiwat, Chotirat Ann Ratanamahatana:
SENVM: Server Environment Monitoring and Controlling System for a Small Data Center Using Wireless Sensor Network. CoRR abs/1105.6160 (2011) - 2010
- [j8]Vit Niennattrakul, Pongsakorn Ruengronghirunya, Chotirat Ann Ratanamahatana:
Exact indexing for massive time series databases under time warping distance. Data Min. Knowl. Discov. 21(3): 509-541 (2010) - [c25]Vit Niennattrakul, Eamonn J. Keogh, Chotirat Ann Ratanamahatana:
Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams. ICDM 2010: 947-952 - [p3]Chotirat Ann Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das:
Mining Time Series Data. Data Mining and Knowledge Discovery Handbook 2010: 1049-1077
2000 – 2009
- 2009
- [c24]Vit Niennattrakul, Dechawut Wanichsan, Chotirat Ann Ratanamahatana:
Accurate Subsequence Matching on Data Stream under Time Warping Distance. PAKDD Workshops 2009: 156-167 - [c23]Pongsakorn Ruengronghirunya, Vit Niennattrakul, Chotirat Ann Ratanamahatana:
Speeding Up Similarity Search on a Large Time Series Dataset under Time Warping Distance. PAKDD 2009: 981-988 - [c22]Poat Sajjipanon, Chotirat Ann Ratanamahatana:
A Novel Fractal Representation for Dimensionality Reduction of Large Time Series Data. PAKDD 2009: 989-996 - [c21]Vit Niennattrakul, Chotirat Ann Ratanamahatana:
Meaningful Subsequence Matching under Time Warping Distance for Data Stream. PAKDD 2009: 1013-1020 - [i3]Vit Niennattrakul, Chotirat Ann Ratanamahatana:
Learning DTW Global Constraint for Time Series Classification. CoRR abs/0903.0041 (2009) - [i2]Vit Niennattrakul, Chotirat (Ann) Ratanamahatana:
Making Hand Geometry Verification System More Accurate Using Time Series Representation with R-K Band Learning. CoRR abs/0905.1385 (2009) - [i1]Vit Niennattrakul, Pongsakorn Ruengronghirunya, Chotirat Ann Ratanamahatana:
Exact Indexing for Massive Time Series Databases under Time Warping Distance. CoRR abs/0906.2459 (2009) - 2008
- [j7]Ada Wai-Chee Fu, Eamonn J. Keogh, Leo Yung Hang Lau, Chotirat (Ann) Ratanamahatana, Raymond Chi-Wing Wong:
Scaling and time warping in time series querying. VLDB J. 17(4): 899-921 (2008) - [c20]Waiyawuth Euachongprasit, Chotirat Ann Ratanamahatana:
Efficient Multimedia Time Series Data Retrieval Under Uniform Scaling and Normalisation. ECIR 2008: 506-513 - [c19]Waiyawuth Euachongprasit, Chotirat Ann Ratanamahatana:
Accurate and Efficient Retrieval of Multimedia Time Series Data Under Uniform Scaling and Time Warping. PAKDD 2008: 100-111 - [p2]Chotirat Ann Ratanamahatana, Dechawut Wanichsan:
Stopping Criterion Selection for Efficient Semi-supervised Time Series Classification. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2008: 1-14 - 2007
- [j6]Eamonn J. Keogh, Stefano Lonardi, Chotirat Ann Ratanamahatana, Li Wei, Sang-Hee Lee, John C. Handley:
Compression-based data mining of sequential data. Data Min. Knowl. Discov. 14(1): 99-129 (2007) - [j5]Jiyuan An, Jeffrey Xu Yu, Chotirat Ann Ratanamahatana, Yi-Ping Phoebe Chen:
A dimensionality reduction algorithm and its application for interactive visualization. J. Vis. Lang. Comput. 18(1): 48-70 (2007) - [c18]Vit Niennattrakul, Chotirat Ann Ratanamahatana:
Inaccuracies of Shape Averaging Method Using Dynamic Time Warping for Time Series Data. International Conference on Computational Science (1) 2007: 513-520 - [c17]Vit Niennattrakul, Dechawut Wanichsan, Chotirat Ann Ratanamahatana:
Hand Geometry Verification Using Time Series Representation. KES (2) 2007: 824-831 - [c16]Vit Niennattrakul, Chotirat Ann Ratanamahatana:
On Clustering Multimedia Time Series Data Using K-Means and Dynamic Time Warping. MUE 2007: 733-738 - 2006
- [j4]Anthony J. Bagnall, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Stefano Lonardi, Gareth J. Janacek:
A Bit Level Representation for Time Series Data Mining with Shape Based Similarity. Data Min. Knowl. Discov. 13(1): 11-40 (2006) - [c15]Chotirat Ann Ratanamahatana, Phubes Tohlong:
Speech Audio Retrieval Using Voice Query. ICADL 2006: 494-497 - [c14]Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton, Li Wei, Chotirat Ann Ratanamahatana:
Fast time series classification using numerosity reduction. ICML 2006: 1033-1040 - [c13]Chotirat Ann Ratanamahatana:
Developing a Decision Support System for a Dove's Voice Competition. KES (3) 2006: 733-741 - 2005
- [j3]Eamonn J. Keogh, Chotirat (Ann) Ratanamahatana:
Exact indexing of dynamic time warping. Knowl. Inf. Syst. 7(3): 358-386 (2005) - [c12]Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana, Helga Van Herle:
A Practical Tool for Visualizing and Data Mining Medical Time Series. CBMS 2005: 341-346 - [c11]Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh:
Multimedia Retrieval Using Time Series Representation and Relevance Feedback. ICADL 2005: 400-405 - [c10]Longin Jan Latecki, Vasileios Megalooikonomou, Qiang Wang, Rolf Lakämper, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh:
Partial Elastic Matching of Time Series. ICDM 2005: 701-704 - [c9]Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh:
Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases. KES (2) 2005: 16-23 - [c8]Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Anthony J. Bagnall, Stefano Lonardi:
A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering. PAKDD 2005: 771-777 - [c7]Longin Jan Latecki, Vasilis Megalooikonomou, Qiang Wang, Rolf Lakämper, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh:
Elastic Partial Matching of Time Series. PKDD 2005: 577-584 - [c6]Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh:
Three Myths about Dynamic Time Warping Data Mining. SDM 2005: 506-510 - [c5]Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana:
Time-series Bitmaps: a Practical Visualization Tool for Working with Large Time Series Databases. SDM 2005: 531-535 - [c4]Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana:
Assumption-Free Anomaly Detection in Time Series. SSDBM 2005: 237-240 - [c3]Ada Wai-Chee Fu, Eamonn J. Keogh, Leo Yung Hang Lau, Chotirat (Ann) Ratanamahatana:
Scaling and Time Warping in Time Series Querying. VLDB 2005: 649-660 - [p1]Chotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das:
Mining Time Series Data. The Data Mining and Knowledge Discovery Handbook 2005: 1069-1103 - 2004
- [c2]Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana:
Towards parameter-free data mining. KDD 2004: 206-215 - [c1]Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh:
Making Time-Series Classification More Accurate Using Learned Constraints. SDM 2004: 11-22 - 2003
- [j2]Chotirat (Ann) Ratanamahatana, Dimitrios Gunopulos:
Feature Selection for the Naive Bayesian Classifier Using Decision Trees. Appl. Artif. Intell. 17(5-6): 475-487 (2003) - 2001
- [j1]John F. Pane, Chotirat (Ann) Ratanamahatana, Brad A. Myers:
Studying the language and structure in non-programmers' solutions to programming problems. Int. J. Hum. Comput. Stud. 54(2): 237-264 (2001)
Coauthor Index
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