Thanawin Rakthanmanon

44 papers A* 7A 5B 1C 3Misc 2Journal 14Unranked 10
YearRankTypeTitle / Venue / Authors
2023 — conf
CCE-Stream: Semi-supervised Stream Clustering Using Color-based Constraints.
JCSSE
Kritsana Treechalong, Thanawin Rakthanmanon, Kitsana Waiyamai
2023 A conf
Crowdsourced Data Validation for ASR Training.
INTERSPEECH
Wannaphong Phatthiyaphaibun, Chompakorn Chaksangchaichot, Thanawin Rakthanmanon, Ekapol Chuangsuwanich, Sarana Nutanong
2020 J jnl
CAG: Stylometric Authorship Attribution of Multi-Author Documents Using a Co-Authorship Graph.
IEEE Access
Raheem Sarwar, Norawit Urailertprasert, Nattapol Vannaboot, Chenyun Yu, Thanawin Rakthanmanon, Ekapol Chuangsuwanich, Sarana Nutanong
2020 J jnl
Native Language Identification of Fluent and Advanced Non-Native Writers.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Raheem Sarwar, Attapol T. Rutherford, Saeed-Ul Hassan, Thanawin Rakthanmanon, Sarana Nutanong
2019 J jnl
A fast LSH-based similarity search method for multivariate time series.
Inf. Sci.
Chenyun Yu, Lintong Luo, Leanne Lai-Hang Chan, Thanawin Rakthanmanon, Sarana Nutanong
2019 — conf
Entropy-based Approach for Parameter-free Attribute Clustering.
MLDM (1)
Adison Khomprasert, Thanawin Rakthanmanon, Kitsana Waiyamai
2018 — conf
A Scalable Framework for Stylometric Analysis of Multi-author Documents.
DASFAA (1)
Raheem Sarwar, Chenyun Yu, Sarana Nutanong, Norawit Urailertprasert, Nattapol Vannaboot, Thanawin Rakthanmanon
2018 J jnl
A scalable framework for cross-lingual authorship identification.
Inf. Sci.
Raheem Sarwar, Qing Li, Thanawin Rakthanmanon, Sarana Nutanong
2018 J jnl
An Effective and Scalable Framework for Authorship Attribution Query Processing.
IEEE Access
Raheem Sarwar, Chenyun Yu, Ninad Tungare, Kanatip Chitavisutthivong, Sukrit Sriratanawilai, Yaohai Xu, Dickson Chow, Thanawin Rakthanmanon, Sarana Nutanong
2018 — conf
Information gain Aggregation-based Approach for Time Series Shapelets Discovery.
KSE
Chutimol Kramakum, Thanawin Rakthanmanon, Kitsana Waiyamai
2018 C conf
Single Channel ECG for Obstructive Sleep Apnea Severity Detection Using a Deep Learning Approach.
TENCON
Nannapas Banluesombatkul, Thanawin Rakthanmanon, Theerawit Wilaiprasitporn
2016 J jnl
Cluster-Based Minority Over-Sampling for Imbalanced Datasets.
IEICE Trans. Inf. Syst.
Kamthorn Puntumapon, Thanawin Rakthanmanon, Kitsana Waiyamai
2015 J jnl
A general framework for never-ending learning from time series streams.
Data Min. Knowl. Discov.
Yanping Chen, Yuan Hao, Thanawin Rakthanmanon, Jesin Zakaria, Bing Hu, Eamonn J. Keogh
2015 J jnl
Establishing the provenance of historical manuscripts with a novel distance measure.
Pattern Anal. Appl.
Bing Hu, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh
2015 — conf
Semi-Supervised Stream Clustering Using Labeled Data Points.
MLDM
Kritsana Treechalong, Thanawin Rakthanmanon, Kitsana Waiyamai
2015 J jnl
Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series.
Data Min. Knowl. Discov.
Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh
2014 — conf
ACCD: Associative Classification over Concept-Drifting Data Streams.
MLDM
Kitsana Waiyamai, Thanapat Kangkachit, Bordin Saengthongloun, Thanawin Rakthanmanon
2014 J jnl
Beyond one billion time series: indexing and mining very large time series collections with i SAX2+.
Knowl. Inf. Syst.
Alessandro Camerra, Jin Shieh, Themis Palpanas, Thanawin Rakthanmanon, Eamonn J. Keogh
2014 J jnl
SED-Stream: discriminative dimension selection for evolution-based clustering of high dimensional data streams.
Int. J. Intell. Syst. Technol. Appl.
Kitsana Waiyamai, Thanapat Kangkachit, Thanawin Rakthanmanon, Rattanapong Chairukwattana
2013 — conf
A Minimum Description Length Technique for Semi-Supervised Time Series Classification.
IRI (best papers)
Nurjahan Begum, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh
2013 J jnl
Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping.
ACM Trans. Knowl. Discov. Data
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh
2013 A conf
Clustering of Symbols Using Minimal Description Length.
ICDAR
Oben M. Tataw, Thanawin Rakthanmanon, Eamonn J. Keogh
2013 A* conf
Data Mining a Trillion Time Series Subsequences Under Dynamic Time Warping.
IJCAI
Thanawin Rakthanmanon, Eamonn J. Keogh
2013 A* conf
Efficient Proper Length Time Series Motif Discovery.
ICDM
Sorrachai Yingchareonthawornchai, Haemwaan Sivaraks, Thanawin Rakthanmanon, Chotirat Ann Ratanamahatana
2013 A conf
Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets.
SDM
Eamonn J. Keogh, Thanawin Rakthanmanon
2013 — conf
SE-Stream: Dimension Projection for Evolution-Based Clustering of High Dimensional Data Streams.
KSE (2)
Rattanapong Chairukwattana, Thanapat Kangkachit, Thanawin Rakthanmanon, Kitsana Waiyamai
2013 Misc conf
Towards a minimum description length based stopping criterion for semi-supervised time series classification.
IRI
Nurjahan Begum, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh
2013 A* conf
Towards never-ending learning from time series streams.
KDD
Yuan Hao, Yanping Chen, Jesin Zakaria, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh
2012 A conf
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets.
SDM
Qiang Zhu, Gustavo E. A. P. A. Batista, Thanawin Rakthanmanon, Eamonn J. Keogh
2012 — —
Efficient Algorithms for High Dimensional Data Mining.
Thanawin Rakthanmanon
2012 J jnl
Efficiently Finding Near Duplicate Figures in Archives of Historical Documents.
J. Multim.
Thanawin Rakthanmanon, Qiang Zhu, Eamonn J. Keogh
2012 A conf
Image Mining of Historical Manuscripts to Establish Provenance.
SDM
Bing Hu, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh
2012 J jnl
MDL-based time series clustering.
Knowl. Inf. Syst.
Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans
2012 A* conf
Searching and mining trillions of time series subsequences under dynamic time warping.
KDD
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh
2011 A* conf
Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.
ICDM
Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh
2011 A* conf
Mining Historical Documents for Near-Duplicate Figures.
ICDM
Thanawin Rakthanmanon, Qiang Zhu, Eamonn J. Keogh
2011 — conf
Searching historical manuscripts for near-duplicate figures.
HIP@ICDAR
Thanawin Rakthanmanon, Qiang Zhu, Eamonn J. Keogh
2011 A* conf
Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data.
ICDM
Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans
2011 — conf
Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.
Algorithmic Probability and Friends
Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh
2010 — ch.
Using Rule Order Difference Criterion to Decide Whether to Update Class Association Rules.
Advances in Intelligent Information and Database Systems
Kritsadakorn Kongubol, Thanawin Rakthanmanon, Kitsana Waiyamai
2008 B conf
Concept Lattice-Based Mutation Control for Reactive Motifs Discovery.
PAKDD
Kitsana Waiyamai, Peera Liewlom, Thanapat Kangkachit, Thanawin Rakthanmanon
2007 C conf
E-Stream: Evolution-Based Technique for Stream Clustering.
ADMA
Komkrit Udommanetanakit, Thanawin Rakthanmanon, Kitsana Waiyamai
2007 C conf
Prediction of Enzyme Class by Using
ADMA
Peera Liewlom, Thanawin Rakthanmanon, Kitsana Waiyamai
2004 Misc conf
Object-Oriented Database Mining: Use of Object Oriented Concepts for Improving Data Classification Technique.
International Conference on Computational Science
Kitsana Waiyamai, Chidchanok Songsiri, Thanawin Rakthanmanon