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Name in Thai : รศ. น.ท.ดร.ทศพล บุญเกิน

Name in English : Wg.Cdr.Dr.Tossapon Boongoen

Position : Lecturer

Tel : 053-91-6763

Room :306

E-mail : tossapon.boo@mfu.ac.th

Facebook : 

ประวัติ :

Brief Biographical History:

  • Royal Thai Air Force Academy (Class 41), Thailand
  • BEng in Command, Control, Communication and Information Systems, Cranfield University, UK
  • PhD in Computer Science (Machine Learning and Natural Language Processing), Cranfield University, UK
  • PostDoc in Computer Science (AI/Data Mining for Anti-Terrorism), Aberystwyth University, UK
  • Research Fellow at Department of Computer Science, Aberystwyth University, UK

 

Areas of Interest:

Artificial Intelligence, Machine Learning and Pattern Recognition, Data Mining, Ensemble Technology and Fuzzy Systems

 

List of Publications:

Journal Articles

  • T. Boongoen, Q. Shen and C. Price, Disclosing false identity through hybrid link analysis, AI and Law, 18(1):77-102, 2010
  • T. Boongoen and Q. Shen, Nearest-neighbor guided evaluation of data reliability and its applications, IEEE Transactions on Systems, Man and Cybernetics, Part B, 40(6):1622 – 1633, 2010
  • N. Iam-on, T. Boongoen and S. Garrett, LCE: A link-based cluster ensemble method for improved gene expression data analysis, Bioinformatics, 26(12):1513-1519, 2010
  • X. Fu, T. Boongoen and Q. Shen, Evidence directed generation of plausible crime scenarios with identity resolution, Applied Artificial Intelligence, 24(4):253-276, 2010
  • T. Boongoen, C. Shang, N. Iam-on and Q. Shen, Extending Data Reliability Measure to a Filter Approach for Soft Subspace Clustering, IEEE Transactions on Systems, Man and Cybernetics, Part B, 41(6):1705-1714, 2011
  • T. Boongoen, Q. Shen and C. Price, Fuzzy qualitative link analysis for academic performance evaluation, International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, 19(3):559-586, 2011
  • N. Iam-on, T. Boongoen, S. Garrett and C. Price, Link-based approach to the cluster ensemble problem, IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(12):2396-2409, 2011
  • N. Iam-on, T. Boongoen, S. Garrett and C. Price, A link-based approach to cluster ensemble approach for categorical data clustering, IEEE Transactions on Knowledge and Data Engineering, 24(3):413-425, 2012
  • Q. Shen and T. Boongoen, Fuzzy Orders-of-Magnitude Based Link Analysis for Qualitative Alias Detection, IEEE Transactions on Knowledge and Data Engineering, 24(4):649-664, 2012
  • N. Iam-On and T. Boongoen, A New Locally Weighted K-Means for Cancer-Aided Microarray Data Analysis, Journal of Medical Systems, 36(1-Suppl):43-49, 2012
  • N. Iam-On, T. Boongoen, S. Garrett and C. Price. New Cluster Ensemble Approach to Integrative Biological Data Analysis, International Journal of Data Mining and Bioinformatics, 8(2):150-168, 2013
  • N. Iam-On and T. Boongoen, Pairwise Similarity for Cluster Ensemble Problem: Link-Based and Approximate Approaches, Springer Transactions on Large-Scale Data and Knowledge-Centered Systems, 9:95-122, 2013
  • N. Iam-On, T. Boongoen and Nuttawut Kongkotchawan, A New Link-Based Method to Ensemble Clustering and Cancer Microarray Data Analysis, International Journal of Collaborative Intelligence, 1(1):45-67, 2014
  • N. Iam-On and T. Boongoen, Comparative Study of Matrix Refinement Approaches for Ensemble Clustering, Machine Learning, 98(1-2):269-300, 2015
  • N. Iam-On and T. Boongoen, Diversity-Driven Generation of Link-Based Cluster Ensemble and Application to Data Classification, Expert Systems with Applications, 42(21):8259-8273, 2015
  • T.Boongoen, N. Iam-On and B. Undara, Improving Face Detection with Bi-Level Classification Model, RTAFA Journal of Science and Technology, 12:52-63, 2016
  • N. Iam-On and T. Boongoen, Improved Student Dropout Prediction in Thai University using Ensemble of Mixed-Type Data Clusterings, International Journal of Machine Learning and Cybernetics, 8(2):497-510, 2017
  • N. Iam-On and T. Boongoen, Generating descriptive model for student dropout: a review of clustering approach, Human-centric Computing and Information Sciences, 7(1):1-24, 2017
  • K. Sriwanna, T. Boongoen and N. Iam-On, Graph clustering­based discretization of splitting and merging methods (GraphS and GraphM), Human-centric Computing and Information Sciences, 7(21):1-39,  2017
  • T. Boongoen, A Brief Review of Fuzzy Aggregation, RTAFA Journal of Science and Technology, 13:59-66, 2017
  • T. Boongoen and N. Iam-On, Cluster Ensembles: A Survey of Approaches with Recent Extensions and Applications, Computer Science Review, 28:1-25, 2018
  • K. Sriwanna, T. Boongoen and N. Iam-On, Graph clustering-based discretization approach to microarray data, Knowledge and Information Systems (in press)

Conference Proceedings

  • T. Boongoen and Q. Shen, “Clus-DOWA: A New Dependent OWA Operator,” In Proceedings of IEEE International Conference on Fuzzy Systems, pp. 1057-1063, 2008
  • N. Iam-On, T. Boongoen and S. Garrett, “Refining Pairwise Similarity Matrix for Cluster Ensemble Problem with Cluster Relations,” In Proceedings of International Conference on Discovery Science, pp. 222-233, 2008
  • T. Boongoen and Q. Shen, “Intelligent hybrid approach to false identity detection,” In Proceedings of International Conference on AI and Law, pp. 147-156, 2009
  • T. Boongoen and Q. Shen, “Order-of-magnitude based link analysis for false identity detection,” In Proceedings of the 23rd International Workshop on Qualitative Reasoning, pp. 7-15, 2009
  • T. Boongoen and Q. Shen, “Semi-Supervised OWA Aggregation for Link-Based Similarity Evaluation and Alias Detection,” In Proceedings of IEEE International Conference on Fuzzy Systems, pp. 288-293, 2009
  • N. Iam-on, T. Boongoen, S. Garrett and C. Price, “Link-based cluster ensembles for heterogeneous biological data analysis,” In Proceedings of IEEE International Conference on Bioinformatics and Biomedicine, pp. 573-578, 2010
  • Q. Shen, T. Boongoen and C. Price, “Improving order-of-magnitude based link analysis with the fuzzy set theory,” In Proceedings of the 25th International Workshop on Qualitative Reasoning, pp. 147-158, 2011
  • N. Iam-On and T. Boongoen, “Improved Link-Based Cluster Ensembles,” In Proceedings of IEEE International Joint Conference on Neural Networks, pp. 1-8, 2012
  • N. Iam-On and T. Boongoen, “New Soft Subspace Method to Gene Expression Data Clustering,” In Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, pp. 984-987, 2012
  • N. Iam-On and T. Boongoen, “Improved Link-Based Cluster Ensembles for Microarray Data Analysis,” In Proceedings of IEEE International Conference on System, Man and Cybernetics, pp. 2014-2019, 2012
  • P. Keerin, W. Kurutach and T. Boongoen, “Cluster-based KNN Missing Value Imputation for DNA Microarray Data,” In Proceedings of IEEE International Conference on System, Man and Cybernetics, pp. 445-450, 2012
  • N. Iam-On and T. Boongoen, “Revisiting Link-Based Cluster Ensembles for Microarray Data Classification,” In Proceedings of IEEE International Conference on System, Man and Cybernetics, pp. 4543-4548, 2013
  • P. Keerin, W. Kurutach and T. Boongoen, “An Improvement of Missing Value Imputation in DNA Microarray Data Using Cluster-based LLS Method,” In Proceedings of International Symposium on Communications and Information Technologies, pp. 559-564, 2013
  • N. Iam-On and T. Boongoen, “Using Cluster Ensemble to Improve Classification of Student Dropout in Thai University,” In Proceedings of Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems, pp. 452-457, 2014
  • T. Boongoen and N. Iam-On, “Discovering Identity in Intelligence Data using Weighted Link Based Similarities: A Case Study of Thailand,” In Proceedings of 49th IEEE International Conference on Security Technology, pp. 327-332, 2015
  • N. Iam-On and T. Boongoen, “Improving Face Classification with Multiple-Clustering Induced Feature Reduction,” In Proceedings of 49th IEEE International Conference on Security Technology, pp. 241-246, 2015
  • K. Sriwanna, T. Boongoen and N. Iam-On, An Enhanced Univariate Discretization Based on Cluster Ensembles, In Proceedings of 19th Asia Pacific Symposium on Intelligent and Evolutionary Systems, pp. 85-98, 2015
  • W. Khannara, N. Iam-On and T. Boongoen, Predicting Duration of CKD Progression in Patients with Hypertension and Diabetes, In Proceedings of 19th Asia Pacific Symposium on Intelligent and Evolutionary Systems, pp. 129-141, 2015
  • P. Meedech, N. Iam-On and T. Boongoen, Prediction of Student Dropout using Personal Profile and Data Mining Approach, In Proceedings of 19th Asia Pacific Symposium on Intelligent and Evolutionary Systems, pp. 143-155, 2015
  • W. Khannara, N. Iam-On and T. Boongoen, Improving Classification of CKD Progression Intervals with Feature Selection, In Proceedings of Asian Conference on Defence Technology, pp. 73-78, 2016
  • P. Meedech, N. Iam-On and T. Boongoen, Combining Imbalanced Data Handling and Feature Ranking for Student Dropout Classification, In Proceedings of Asian Conference on Defence Technology, pp. 93-98, 2016
  • M. Pattanodom, N. Iam-On and T. Boongoen, Clustering Data with the Presence of Missing Values by Ensemble Approach, In Proceedings of Asian Conference on Defence Technology, pp. 114-119, 2016
  • U. Thongsatapornwatana, W. Lilakiatsakun and T. Boongoen, Improvement of intelligent framework for suspect vehicle detection system, In Proceedings of International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, pp. 419-422 , 2017
  • U. Thongsatapornwatana, W. Lilakiatsakun, A. Kawbunjun and T. Boongoen, Analysis of criminal behaviors for suspect vehicle detection, In Proceedings of International Conference on Digital Information Management, pp. 15-20 , 2017
  • P. Panwong, T. Boongoen and N. Iam-On, Improving Consensus Clustering with Noise-Induced Ensemble Generation: A Study of Uniform Random Noise, In Proceedings of International Conference on Machine Learning and Computing, pp. 390-395, 2018
  • A. B. Tabacolde, T. Boongoen, N. Iam-On, J. Mullaney, U. Sawangwit and K. Ulaczyk, Transient Detection Modelling for Gravitational-wave Optical Transient Observer (GOTO) Sky Survey, In Proceedings of International Conference on Machine Learning and Computing, pp. 384-389, 2018
  • A. B. Tabacolde, T. Boongoen, N. Iam-On, J. Mullaney, U. Sawangwit and K. Ulaczyk, Transient Detection Modeling as Imbalance Data Classification, In Proceedings of IEEE International Conference on Knowledge Innovation and Invention, 2018 (in press)
  • W. Yu, R. Yoyponsan, T. Boongoen, J. Mullaney, K. Ulaczyk, U. Sawangwit and A. Eungwanichayapant, Identify Transient Sources from GOTO Sky Survey Data with Clustering Method, In Proceedings of International Annual Symposium on Computational Science and Engineering 2018

Books

  • T. Boongoen, “Improving Effectiveness of Data Clustering,” Royal Thai Air Force Academy: Academic Faculty, October 2013
  • T. Boongoen, “Cluster Ensemble Methods and Applications,” Royal Thai Air Force Academy: Academic Faculty, October 2016

Book Chapters

  • Q. Shen and T. Boongoen, “Social Network Inspired Approach to Intelligent Monitoring of Intelligence Data”, In Social Network Mining, Analysis and Research Trends: Techniques and Applications, edited by I. H. Ting, T. P. Hong and L. S. L. Wang, IGI Global Publishing, pp. 79-100, 2012
  • N. Iam-On and T. Boongoen, “Soft Subspace Clustering for Cancer Microarray Data Analysis: A Survey”, In Global Trends in Intelligent Computing Research and Development, edited by B. K. Tripathy and D. P. Acharjya, IGI Global Publishing, pp. 131-145, 2014
  • T. Boongoen and N. Iam-On, “A comparative review of graph-based ensemble clustering as transformation methods for microarray data classification”, In Computational Methods with Applications in Bioinformatics Analysis, edited by J. Tsai and K. Ng, World Scientific Publishing, pp. 53-71, 2017

 

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Post Author: Wg.Cdr.Dr.Tossapon Boongoen