Object-Oriented Database Mining: Use of Object Oriented Concepts for Improving Data Classification Technique. - Kitsana Waiyamai; Chidchanok Songsiri; Thanawin Rakthanmanon (International Conference on Computational Science, 2004)

Prediction of Enzyme Class by Using Reactive Motifs Generated from Binding and Catalytic Sites. - Peera Liewlom; Thanawin Rakthanmanon; Kitsana Waiyamai (ADMA, 2007)

E-Stream: Evolution-Based Technique for Stream Clustering. - Komkrit Udommanetanakit; Thanawin Rakthanmanon; Kitsana Waiyamai (ADMA, 2007)

Concept Lattice-Based Mutation Control for Reactive Motifs Discovery. - Kitsana Waiyamai; Peera Liewlom; Thanapat Kangkachit; Thanawin Rakthanmanon (PAKDD, 2008)

Using Rule Order Difference Criterion to Decide Whether to Update Class Association Rules. - Kritsadakorn Kongubol; Thanawin Rakthanmanon; Kitsana Waiyamai (Advances in Intelligent Information and Database Systems, 2010)

Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL. - Bing Hu 001; Thanawin Rakthanmanon; Yuan Hao; Scott Evans; Stefano Lonardi; Eamonn J. Keogh (Algorithmic Probability and Friends, 2011)

Searching historical manuscripts for near-duplicate figures. - Thanawin Rakthanmanon; Qiang Zhu 002; Eamonn J. Keogh (HIP@ICDAR, 2011)

Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL. - Bing Hu 001; Thanawin Rakthanmanon; Yuan Hao; Scott Evans; Stefano Lonardi; Eamonn J. Keogh (ICDM, 2011)

Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data. - Thanawin Rakthanmanon; Eamonn J. Keogh; Stefano Lonardi; Scott Evans (ICDM, 2011)

Mining Historical Documents for Near-Duplicate Figures. - Thanawin Rakthanmanon; Qiang Zhu 002; Eamonn J. Keogh (ICDM, 2011)

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 002; Jesin Zakaria; Eamonn J. Keogh (KDD, 2012)

Image Mining of Historical Manuscripts to Establish Provenance. - Bing Hu 001; Thanawin Rakthanmanon; Bilson J. L. Campana; Abdullah Mueen; Eamonn J. Keogh (SDM, 2012)

A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets. - Qiang Zhu 002; Gustavo E. A. P. A. Batista; Thanawin Rakthanmanon; Eamonn J. Keogh (SDM, 2012)

Efficiently Finding Near Duplicate Figures in Archives of Historical Documents. - Thanawin Rakthanmanon; Qiang Zhu 002; Eamonn J. Keogh (J. Multim., 2012)

MDL-based time series clustering. - Thanawin Rakthanmanon; Eamonn J. Keogh; Stefano Lonardi; Scott Evans (Knowl. Inf. Syst., 2012)

Efficient Algorithms for High Dimensional Data Mining. - Thanawin Rakthanmanon (2012)

Clustering of Symbols Using Minimal Description Length. - Oben M. Tataw; Thanawin Rakthanmanon; Eamonn J. Keogh (ICDAR, 2013)

Efficient Proper Length Time Series Motif Discovery. - Sorrachai Yingchareonthawornchai; Haemwaan Sivaraks; Thanawin Rakthanmanon; Chotirat Ann Ratanamahatana (ICDM, 2013)

Data Mining a Trillion Time Series Subsequences Under Dynamic Time Warping. - Thanawin Rakthanmanon; Eamonn J. Keogh (IJCAI, 2013)

Towards a minimum description length based stopping criterion for semi-supervised time series classification. - Nurjahan Begum; Bing Hu 001; Thanawin Rakthanmanon; Eamonn J. Keogh (IRI, 2013)

A Minimum Description Length Technique for Semi-Supervised Time Series Classification. - Nurjahan Begum; Bing Hu 001; Thanawin Rakthanmanon; Eamonn J. Keogh (IRI (best papers), 2013)

Towards never-ending learning from time series streams. - Yuan Hao; Yanping Chen 005; Jesin Zakaria; Bing Hu 001; Thanawin Rakthanmanon; Eamonn J. Keogh (KDD, 2013)

SE-Stream: Dimension Projection for Evolution-Based Clustering of High Dimensional Data Streams. - Rattanapong Chairukwattana; Thanapat Kangkachit; Thanawin Rakthanmanon; Kitsana Waiyamai (KSE (2), 2013)

Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets. - Eamonn J. Keogh; Thanawin Rakthanmanon (SDM, 2013)

Addressing Big Data Time Series: 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 002; Jesin Zakaria; Eamonn J. Keogh (ACM Trans. Knowl. Discov. Data, 2013)

ACCD: Associative Classification over Concept-Drifting Data Streams. - Kitsana Waiyamai; Thanapat Kangkachit; Bordin Saengthongloun; Thanawin Rakthanmanon (MLDM, 2014)

SED-Stream: discriminative dimension selection for evolution-based clustering of high dimensional data streams. - Kitsana Waiyamai; Thanapat Kangkachit; Thanawin Rakthanmanon; Rattanapong Chairukwattana (Int. J. Intell. Syst. Technol. Appl., 2014)

Beyond one billion time series: indexing and mining very large time series collections with i SAX2+. - Alessandro Camerra; Jin Shieh; Themis Palpanas; Thanawin Rakthanmanon; Eamonn J. Keogh (Knowl. Inf. Syst., 2014)

Semi-Supervised Stream Clustering Using Labeled Data Points. - Kritsana Treechalong; Thanawin Rakthanmanon; Kitsana Waiyamai (MLDM, 2015)

Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series. - Bing Hu 001; Thanawin Rakthanmanon; Yuan Hao; Scott Evans; Stefano Lonardi; Eamonn J. Keogh (Data Min. Knowl. Discov., 2015)

A general framework for never-ending learning from time series streams. - Yanping Chen 005; Yuan Hao; Thanawin Rakthanmanon; Jesin Zakaria; Bing Hu 001; Eamonn J. Keogh (Data Min. Knowl. Discov., 2015)

Establishing the provenance of historical manuscripts with a novel distance measure. - Bing Hu 001; Thanawin Rakthanmanon; Bilson J. L. Campana; Abdullah Mueen; Eamonn J. Keogh (Pattern Anal. Appl., 2015)

Cluster-Based Minority Over-Sampling for Imbalanced Datasets. - Kamthorn Puntumapon; Thanawin Rakthanmanon; Kitsana Waiyamai (IEICE Trans. Inf. Syst., 2016)

A Scalable Framework for Stylometric Analysis of Multi-author Documents. - Raheem Sarwar; Chenyun Yu; Sarana Nutanong; Norawit Urailertprasert; Nattapol Vannaboot; Thanawin Rakthanmanon (DASFAA (1), 2018)

Information gain Aggregation-based Approach for Time Series Shapelets Discovery. - Chutimol Kramakum; Thanawin Rakthanmanon; Kitsana Waiyamai (KSE, 2018)

Single Channel ECG for Obstructive Sleep Apnea Severity Detection Using a Deep Learning Approach. - Nannapas Banluesombatkul; Thanawin Rakthanmanon; Theerawit Wilaiprasitporn (TENCON, 2018)

An Effective and Scalable Framework for Authorship Attribution Query Processing. - Raheem Sarwar; Chenyun Yu; Ninad Tungare; Kanatip Chitavisutthivong; Sukrit Sriratanawilai; Yaohai Xu; Dickson Chow; Thanawin Rakthanmanon; Sarana Nutanong (IEEE Access, 2018)

A scalable framework for cross-lingual authorship identification. - Raheem Sarwar; Qing Li 001; Thanawin Rakthanmanon; Sarana Nutanong (Inf. Sci., 2018)

Entropy-based Approach for Parameter-free Attribute Clustering. - Adison Khomprasert; Thanawin Rakthanmanon; Kitsana Waiyamai (MLDM (1), 2019)

A fast LSH-based similarity search method for multivariate time series. - Chenyun Yu; Lintong Luo; Leanne Lai-Hang Chan; Thanawin Rakthanmanon; Sarana Nutanong (Inf. Sci., 2019)

CAG: Stylometric Authorship Attribution of Multi-Author Documents Using a Co-Authorship Graph. - Raheem Sarwar; Norawit Urailertprasert; Nattapol Vannaboot; Chenyun Yu; Thanawin Rakthanmanon; Ekapol Chuangsuwanich; Sarana Nutanong (IEEE Access, 2020)

StyloThai: : A Scalable Framework for Stylometric Authorship Identification of Thai Documents. - Raheem Sarwar; Thanasarn Porthaveepong; Attapol Rutherford; Thanawin Rakthanmanon; Sarana Nutanong (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

Native Language Identification of Fluent and Advanced Non-Native Writers. - Raheem Sarwar; Attapol T. Rutherford; Saeed-Ul Hassan; Thanawin Rakthanmanon; Sarana Nutanong (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

Crowdsourced Data Validation for ASR Training. - Wannaphong Phatthiyaphaibun; Chompakorn Chaksangchaichot; Thanawin Rakthanmanon; Ekapol Chuangsuwanich; Sarana Nutanong (INTERSPEECH, 2023)

CCE-Stream: Semi-supervised Stream Clustering Using Color-based Constraints. - Kritsana Treechalong; Thanawin Rakthanmanon; Kitsana Waiyamai (JCSSE, 2023)