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Thanawin Rakthanmanon
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2020 – today
- 2023
- [c28]Wannaphong Phatthiyaphaibun, Chompakorn Chaksangchaichot, Thanawin Rakthanmanon, Ekapol Chuangsuwanich, Sarana Nutanong:
Crowdsourced Data Validation for ASR Training. INTERSPEECH 2023: 551-555 - [c27]Kritsana Treechalong, Thanawin Rakthanmanon, Kitsana Waiyamai:
CCE-Stream: Semi-supervised Stream Clustering Using Color-based Constraints. JCSSE 2023: 43-48 - 2020
- [j15]Raheem Sarwar
, Norawit Urailertprasert
CAG: Stylometric Authorship Attribution of Multi-Author Documents Using a Co-Authorship Graph. IEEE Access 8: 18374-18393 (2020) - [j14]Raheem Sarwar
StyloThai: : A Scalable Framework for Stylometric Authorship Identification of Thai Documents. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(3): 36:1-36:15 (2020) - [j13]Raheem Sarwar
Native Language Identification of Fluent and Advanced Non-Native Writers. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(4): 55:1-55:19 (2020)
2010 – 2019
- 2019
- [j12]Chenyun Yu
A fast LSH-based similarity search method for multivariate time series. Inf. Sci. 476: 337-356 (2019) - [c26]Adison Khomprasert, Thanawin Rakthanmanon, Kitsana Waiyamai:
Entropy-based Approach for Parameter-free Attribute Clustering. MLDM (1) 2019: 333-342 - 2018
- [j11]Raheem Sarwar
An Effective and Scalable Framework for Authorship Attribution Query Processing. IEEE Access 6: 50030-50048 (2018) - [j10]Raheem Sarwar
A scalable framework for cross-lingual authorship identification. Inf. Sci. 465: 323-339 (2018) - [c25]Raheem Sarwar
A Scalable Framework for Stylometric Analysis of Multi-author Documents. DASFAA (1) 2018: 813-829 - [c24]Chutimol Kramakum, Thanawin Rakthanmanon, Kitsana Waiyamai:
Information gain Aggregation-based Approach for Time Series Shapelets Discovery. KSE 2018: 97-101 - [c23]Nannapas Banluesombatkul, Thanawin Rakthanmanon, Theerawit Wilaiprasitporn
Single Channel ECG for Obstructive Sleep Apnea Severity Detection Using a Deep Learning Approach. TENCON 2018: 2011-2016 - 2016
- [j9]Kamthorn Puntumapon, Thanawin Rakthanmanon, Kitsana Waiyamai:
Cluster-Based Minority Over-Sampling for Imbalanced Datasets. IEICE Trans. Inf. Syst. 99-D(12): 3101-3109 (2016) - 2015
- [j8]Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi
Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series. Data Min. Knowl. Discov. 29(2): 358-399 (2015) - [j7]Yanping Chen, Yuan Hao, Thanawin Rakthanmanon, Jesin Zakaria, Bing Hu, Eamonn J. Keogh:
A general framework for never-ending learning from time series streams. Data Min. Knowl. Discov. 29(6): 1622-1664 (2015) - [j6]Bing Hu, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh:
Establishing the provenance of historical manuscripts with a novel distance measure. Pattern Anal. Appl. 18(2): 313-331 (2015) - [c22]Kritsana Treechalong, Thanawin Rakthanmanon, Kitsana Waiyamai:
Semi-Supervised Stream Clustering Using Labeled Data Points. MLDM 2015: 281-295 - 2014
- [j5]Kitsana Waiyamai, Thanapat Kangkachit
SED-Stream: discriminative dimension selection for evolution-based clustering of high dimensional data streams. Int. J. Intell. Syst. Technol. Appl. 13(3): 187-201 (2014) - [j4]Alessandro Camerra, Jin Shieh, Themis Palpanas, Thanawin Rakthanmanon, Eamonn J. Keogh:
Beyond one billion time series: indexing and mining very large time series collections with i SAX2+. Knowl. Inf. Syst. 39(1): 123-151 (2014) - [c21]Kitsana Waiyamai, Thanapat Kangkachit
ACCD: Associative Classification over Concept-Drifting Data Streams. MLDM 2014: 78-90 - 2013
- [j3]Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh:
Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping. ACM Trans. Knowl. Discov. Data 7(3): 10:1-10:31 (2013) - [c20]Oben M. Tataw, Thanawin Rakthanmanon, Eamonn J. Keogh:
Clustering of Symbols Using Minimal Description Length. ICDAR 2013: 180-184 - [c19]Sorrachai Yingchareonthawornchai, Haemwaan Sivaraks, Thanawin Rakthanmanon, Chotirat Ann Ratanamahatana:
Efficient Proper Length Time Series Motif Discovery. ICDM 2013: 1265-1270 - [c18]Thanawin Rakthanmanon, Eamonn J. Keogh:
Data Mining a Trillion Time Series Subsequences Under Dynamic Time Warping. IJCAI 2013: 3047-3051 - [c17]Nurjahan Begum, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh:
A Minimum Description Length Technique for Semi-Supervised Time Series Classification. IRI (best papers) 2013: 171-192 - [c16]Nurjahan Begum, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh:
Towards a minimum description length based stopping criterion for semi-supervised time series classification. IRI 2013: 333-340 - [c15]Yuan Hao, Yanping Chen, Jesin Zakaria, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh:
Towards never-ending learning from time series streams. KDD 2013: 874-882 - [c14]Rattanapong Chairukwattana, Thanapat Kangkachit
SE-Stream: Dimension Projection for Evolution-Based Clustering of High Dimensional Data Streams. KSE (2) 2013: 365-376 - [c13]Eamonn J. Keogh, Thanawin Rakthanmanon:
Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets. SDM 2013: 668-676 - 2012
- [b1]Thanawin Rakthanmanon:
Efficient Algorithms for High Dimensional Data Mining. University of California, Riverside, USA, 2012 - [j2]Thanawin Rakthanmanon, Qiang Zhu, Eamonn J. Keogh:
Efficiently Finding Near Duplicate Figures in Archives of Historical Documents. J. Multim. 7(2): 109-123 (2012) - [j1]Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi
MDL-based time series clustering. Knowl. Inf. Syst. 33(2): 371-399 (2012) - [c12]Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh:
Searching and mining trillions of time series subsequences under dynamic time warping. KDD 2012: 262-270 - [c11]Bing Hu, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh:
Image Mining of Historical Manuscripts to Establish Provenance. SDM 2012: 804-815 - [c10]Qiang Zhu, Gustavo E. A. P. A. Batista, Thanawin Rakthanmanon, Eamonn J. Keogh:
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets. SDM 2012: 999-1010 - 2011
- [c9]Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh:
Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL. Algorithmic Probability and Friends 2011: 184-197 - [c8]Thanawin Rakthanmanon, Qiang Zhu, Eamonn J. Keogh:
Searching historical manuscripts for near-duplicate figures. HIP@ICDAR 2011: 14-21 - [c7]Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi
Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data. ICDM 2011: 547-556 - [c6]Thanawin Rakthanmanon, Qiang Zhu, Eamonn J. Keogh:
Mining Historical Documents for Near-Duplicate Figures. ICDM 2011: 557-566 - [c5]Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi
Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL. ICDM 2011: 1086-1091 - 2010
- [p1]Kritsadakorn Kongubol, Thanawin Rakthanmanon, Kitsana Waiyamai:
Using Rule Order Difference Criterion to Decide Whether to Update Class Association Rules. Advances in Intelligent Information and Database Systems 2010: 241-252
2000 – 2009
- 2008
- [c4]Kitsana Waiyamai, Peera Liewlom, Thanapat Kangkachit
Concept Lattice-Based Mutation Control for Reactive Motifs Discovery. PAKDD 2008: 767-776 - 2007
- [c3]Peera Liewlom, Thanawin Rakthanmanon, Kitsana Waiyamai:
Prediction of Enzyme Class by Using Reactive Motifs Generated from Binding and Catalytic Sites. ADMA 2007: 442-453 - [c2]Komkrit Udommanetanakit, Thanawin Rakthanmanon, Kitsana Waiyamai:
E-Stream: Evolution-Based Technique for Stream Clustering. ADMA 2007: 605-615 - 2004
- [c1]Kitsana Waiyamai, Chidchanok Songsiri, Thanawin Rakthanmanon:
Object-Oriented Database Mining: Use of Object Oriented Concepts for Improving Data Classification Technique. International Conference on Computational Science 2004: 303-309
Coauthor Index
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