Thanawin Rakthanmanon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
12
Active years
2004–2023
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | Interspeech | Crowdsourced Data Validation for ASR Training. | Wannaphong Phatthiyaphaibun, Chompakorn Chaksangchaichot, Thanawin Rakthanmanon, Ekapol Chuangsuwanich, Sarana Nutanong |
| 2018 | DASFAA | A Scalable Framework for Stylometric Analysis of Multi-author Documents. | Raheem Sarwar, Chenyun Yu, Sarana Nutanong, Norawit Urailertprasert, Nattapol Vannaboot, Thanawin Rakthanmanon |
| 2018 | Tencon | Single Channel ECG for Obstructive Sleep Apnea Severity Detection Using a Deep Learning Approach. | Nannapas Banluesombatkul, Thanawin Rakthanmanon, Theerawit Wilaiprasitporn |
| 2013 | ICDAR | Clustering of Symbols Using Minimal Description Length. | Oben M. Tataw, Thanawin Rakthanmanon, Eamonn J. Keogh |
| 2013 | ICDM | Efficient Proper Length Time Series Motif Discovery. | Sorrachai Yingchareonthawornchai, Haemwaan Sivaraks, Thanawin Rakthanmanon, Chotirat Ann Ratanamahatana |
| 2013 | IJCAI | Data Mining a Trillion Time Series Subsequences Under Dynamic Time Warping. | Thanawin Rakthanmanon, Eamonn J. Keogh |
| 2013 | IRI | Towards a minimum description length based stopping criterion for semi-supervised time series classification. | Nurjahan Begum, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh |
| 2013 | IRI | A Minimum Description Length Technique for Semi-Supervised Time Series Classification. | Nurjahan Begum, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh |
| 2013 | KDD | Towards never-ending learning from time series streams. | Yuan Hao, Yanping Chen, Jesin Zakaria, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh |
| 2013 | SDM | Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets. | Eamonn J. Keogh, Thanawin Rakthanmanon |
| 2012 | KDD | Searching and mining trillions of time series subsequences under dynamic time warping. | Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh |
| 2012 | SDM | Image Mining of Historical Manuscripts to Establish Provenance. | Bing Hu, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh |
| 2012 | SDM | A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets. | Qiang Zhu, Gustavo E. A. P. A. Batista, Thanawin Rakthanmanon, Eamonn J. Keogh |
| 2011 | ICDAR | Searching historical manuscripts for near-duplicate figures. | Thanawin Rakthanmanon, Qiang Zhu, Eamonn J. Keogh |
| 2011 | ICDM | Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL. | Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh |
| 2011 | ICDM | Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data. | Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans |
| 2011 | ICDM | Mining Historical Documents for Near-Duplicate Figures. | Thanawin Rakthanmanon, Qiang Zhu, Eamonn J. Keogh |
| 2008 | PAKDD | Concept Lattice-Based Mutation Control for Reactive Motifs Discovery. | Kitsana Waiyamai, Peera Liewlom, Thanapat Kangkachit, Thanawin Rakthanmanon |
| 2007 | ADMA | Prediction of Enzyme Class by Using | Peera Liewlom, Thanawin Rakthanmanon, Kitsana Waiyamai |
| 2007 | ADMA | E-Stream: Evolution-Based Technique for Stream Clustering. | Komkrit Udommanetanakit, Thanawin Rakthanmanon, Kitsana Waiyamai |
| 2004 | ICCS | Object-Oriented Database Mining: Use of Object Oriented Concepts for Improving Data Classification Technique. | Kitsana Waiyamai, Chidchanok Songsiri, Thanawin Rakthanmanon |