2017

  1. Nguyen, D.K., Ho, T.B. (2017). Anti-lopsided Algorithm for Large-scale Nonnegative Least Square Problems, International Journal of Data Science and Analytics, Springer, Vol. 3, 23-34 [PDF].
     
  2. Nguyen, D.K., Ho, T.B. (2017). Accelerated Parallel and Distributed Algorithm Using Limited Internal Memory for Nonnegative Matrix Factorization, Journal of Global Optimization [PDF]. https://link.springer.com/article/10.1007/s10898-016-0471-z
     
  3. Nguyen, D.K., Tran, Q.D., Ho, T.B. (2017). Simplicial Nonnegative Matrix Tri-factorization: Fast Guaranteed Parallel Algorithm, Submitted.
     
  4. Moharasan G., Ho T.B. (2017). Extraction fof Temporal Events from Clinical Texts Using Semi-Supervised Conditional Random Fields, Data Mining and Big Data DMBD 2017, July 27-August 1, Fukuoka.
     

    2016

  5. Ho, T.B., Le, L., Dang, T.T., Siriwon, T. (2016). Data-driven Approach to Detect and Predict Adverse Drug Reactions, Current Pharmaceutical Design Journal, Vol. 22, No. 23, 3498-3526 [PDF, draft].
     
  6. Luo, W., Phung, D., Tran, T., Gupta, S., Rana, S., Karmakar C., Dimitrova S.N., Ho, T.B., Venkatesh, S., Berk, M. (2016). Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View. Journal of Medical Internet Research, Vol. 22, No. 23, 3498-3526 [PDF].
     
  7. Nguyen, D.K., Ho, T.B. (2016). Fast Parallel Randomized Algorithm for Nonnegative Matrix Factorization with KL Divergence for Large Sparse Datasets, International Journal of Machine Learning and Computing,Vol 6(2), 111-116.
     
  8. Ho, T.B. (2016). Science and Technology Innovation is the key for Vietnam's Development, VNU Journal of Science, Vol 32(1S), 165-178.
     
  9. Matsuo, R., Ho, T.B. (2016). Semantic Term Weighting for Clinical Texts, submitted to AIM.
     
  10. Dang, T.T., , Ouankhamchan, P., Ho, T.B. (2016). Detection of New Drug Indications from Electronic Medical Records, IEEE International Conference on Research, Innovation and Vision for Future, RIVF 2016, Hanoi, November 7-9 [PDF].
     
  11. Moharasan, G., Ho, T.B. (2016). A semi-supervised approach for temporal information extraction from clinical text, IEEE International Conference on Research, Innovation and Vision for Future, RIVF 2016, Hanoi, November 7-9.
     
  12. Pham, D., Le, B.K., Le, L., Ho, T.B. (2016). System pharmacology: application of network theory in predicting potential adverse drug eaction based on gene expression data, IEEE International Conference on Research, Innovation and Vision for Future, RIVF 2016, Hanoi, November 7-9.
     
  13. Nguyen, D.K., Tran, Q.D., Ho, T.B. (2016). Simplicial Nonnegative Matrix Tri-Factorization: Fast Guaranteed Parallel Algorithm, The 23rd International Conference on Neural Information Processing, ICONIP2016, Kyoto 16-21, 2016 [PDF].
     
  14. Nguyen, D.P., Vo, T.N.C., Ho, T.B. (2016). A Hybrid Semi-Supervised Learning Approach to Identifying Protected Health Information in Electronic Medical Records, 10th International Conference on Ubiquitous Information Management and Communication (ACM IMCOM 2016), January 4-6, 2016.
     
  15. Vo, T.N.C., Cao, T., Ho, T.B. (2016). Abbreviation Identification in Clinical Notes with Level-wise Feature Engineering and Supervised Learning, The 2016 Pacific Rim Knowledge Acquisition Workshop (PKAW 2016), August 22-23, 2016.
     
  16. Matsuo, R., Ho, T.B. (2016). Mortality Prediction Using a Semantic Term Weighting Method Based on Severity of Patients, The 30th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2016), June 6-9, 2016.
     
  17. Matsuo, R., Ho, T.B. (2016). An Analysis of Four Medical Term Weighting Methods on Medical Information Retrieval, The 20th Spring Conference of the Japan Association for Medical Informatics (JAMI 2016), June 2-4, 2016.
     
  18. Dang, T.T., Ho, T.B. (2016). Mixture of language models utilization in score-based sentiment classification on clinical narratives, IEA/AIE 2016 2-4 August 2016, Morioka, Japan [PDF].
     

    2015

  19. Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda (2015). Advances in Knowledge Discovery and Data Mining (Eds.), Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence LNAI 9077, LNAI 9078, Springer.
     
  20. Bui, N.T., Ho, T.B., Kanda, T. (2015). A semi-supervised tensor regression model for siRNA efficacy prediction, BMC Bioinformatics, 16:80, 2015 [PDF].
     
  21. Nguyen, P.T., Le, A.C., Ho, T.B., Nguyen, V.H. (2015). Vietnamese Treebank Construction with Entropy-based Error Detection, Language Resource Evaluation, Springer, Vol. 49, Issues 3, 487-519 [PDF].
     
  22. Bui, N.T., Le, S.V., Ho, T.B. (2015). MVRM: A hybrid approach to predict siRNA efficacy, International Conference on Knowledge and Systems Engineering KSE 2015 (Best Paper Award).
     

    2014

  23. Tseng, V.S., Ho, T.B., Zhou, Z.-H., Chen, A.L.P., Kao, H.-Y. (2014). Advances in Knowledge Discovery and Data Mining (Eds.), Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence LNAI 8443, LNAI 8444, Springer.
     
  24. Nguyen, H., Le, L., Ho T.B. (2014). Computational study on ice growth inhibition of Antarctic bacterium antifreeze protein using coarse grained simulation, The Journal of Chemical Physics, June 2014, 140(22):225101. [PDF].
     
  25. Nguyen, Q.D., Pham, T.H., Ho, T.B. (2014). Conditional multivariate mutual information measures, Journal of Computer Science and Cybernetics, Vol 30, No 2, 117-126.
     
  26. Than, K., Ho, T.B. (2014). Modeling the diversity and log-normal of data, Intelligent Data Analysis, Volume 18(6), 1067-1088. [PDF].
     
  27. Dam, H.C., Pham, T.L., Ho, T.B., Nguyen, T.A., Nguyen, V.C. (2014). Data mining for materials design: A computational study of single molecule magnet, The journal of Chemical Physics [PDF]. The Journal of Chemical Physics, Vol. 140, Issue 4.
     
  28. Than, K., Ho, T.B., Nguyen, D.K. (2014). An effective framework for supervised dimension reduction, Neurocomputing, Vol. 139, 397-407. [PDF]
     
  29. Hoang, C., Le, A.C., Pham, B.S., Ho, T.B. (2014). An Efficient Framework for Exploiting Parallel Sentences from Non-Parallel Corpora, Fundamenta Informaticae, Vol. 130, 179-199 [draft, PDF].
     
  30. Ho, V.T., Nakamori, Y., Ho, T.B., Lim, C.P. (2014). Blended Learning Model on Hands-on Approach for In-service Secondary School Teachers: Combination of E-learning and face-to-face Discussion; Journal of Education and Information Technologies , Vol 21, Issue 1, 185-208, Springer.
     
  31. Le, N.T, Ho, T.B., Ho, B.H., Tran, D.H. (2014). A nucleosomal approach to inferring causal relationships of histone modifications, Asia-Pacific Bioinformatics Conference APBC 2014, 17-19 January, Shanghai.
     
  32. Bui N.T. (2014). A novel framework to improve siRNA efficacy prediction, Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD'04, 13-16 May, 2014, Tainan, Taiwan.
     
  33. Ho T.B., Hoang K.H., Huynh T.A., Nguyen D.K. (2014). An initial study of drug-disease relationships using EMRs, Asia Conference on Information Systems ACIS 2014, 1-3 December, Nha Trang.
     
  34. Matsuo R., Ho T.B. (2014). An Ontology Based Term Weighting Method for Exploiting EMR, Asia Conference on Information Systems ACIS 2014, 1-3 December, Nha Trang.
     
  35. Moharasan G., Ho T.B. (2014). Challenges and Opportunities of Temporal Information Extraction from Electronic Medical Records, Asia Conference on Information Systems ACIS 2014, 1-3 December, Nha Trang.
     
  36. Nguyen V.L., Ho T.B. (2014). Temporal Link Prediction Using CP-Decomposition, Asia Conference on Information Systems ACIS 2014, 1-3 December, Nha Trang.
     

    2013

  37. Le, N.T, Ho, T.B., Ho, B.H. (2013). Computational reconstruction of transcriptional relationships from ChIP-Chip data, IEEE-ACM Trans. on CBB, Vol. 10. No. 2, 300-307.
     
  38. Ho, T.B., Taewijit, S,. Ho, Q.B., Dam, H.C. (2013). Big Data and Service Science (Chapter 7), Progressive Trends in Knowledge and System-based Science for Service Innovation, Kosaka, M. and Shirahada, K. (Eds.), IGI Global, 128-144.
     
  39. Le, N., Ho, T.B., Kanda, T., Kawasaki, S., Takabayashi, K., Wu, S., Yokosaka, O. (2013). A Semi-Supervised Learning Method for Discriminative Motif Finding and Its Application, Journal of Universal Computer Science , Vol. 19. No. 4, 563-580.
     
  40. Nguyen, Q.D., Pham, T.H., Ho, T.B., Nguyen, V.H., Tran, D.H. (2013). Reconstruction of Triple-wise Relationships in Biological Networks from Profiling Data, The 9th International Conference on Computing and Information Technology (IC2IT2013), Bangkok, 9-10 May 2013, Springer AISC 209, 205-215.
     
  41. Bui, N.T., Ho, T.B., Kawasaki, S. (2013). An Effective Method for Generating siRNA Design Rules, The 5th Asian Conference On Intelligent Information and Database Systems, ACIID 2013, Kuala Lumpur, 18-20 March 2013, LNAI 7803, 196-205.
     
  42. Than, K., Ho, T.B. (2013). A geometric interpretation of Bayesian classification methods, submitted to Neural computing and applications.
     
  43. Than, K., Ho, T.B. (2013). Fully sparse topic models, submitted to JMLR.
     
  44. Nguyen, D.K., Than, K., Ho, T.B. (2013). Simplicial Nonnegative Matrix Factorization, IEEE International Conference on Research, Innovation and Vision for Future, RIVF 2013, Hanoi, November 10-13. [draft, PDF] (BEST STUDENT PAPER AWARD).,
     
  45. Taewijit, S., Ho, T.B., Theeramunkong, T. (2013). A Review on Data Mining Approach for Adverse Drug Reaction Research, Second Asian Conference on Information System, ACIS 2013, Phuket, Ocotber 31-November 2.
     

    2012

  46. Ho, B.H., Le, N.T., Ho, T.B. (2012). Quantitatively assessing the effect of regulatory factors on nucleosome dynamics, Journal of Ambient Intelligence and Humanized Computing, Springer [draft, PDF], Vol. 3, Issue 4, 265-280.
     
  47. Luong, T.D., Ho, T.B., Tran, D.H. (2012). Enhancing privacy for frequent itemset mining in vertically distributed data, Journal of Information Technologies and Communications, Vol. E-2, No.5(9), 25-38.
     
  48. Ho, T.B., Takabayashi, T., Kanda, T., Kawasaki, S., Le, T.N., Bui, N.T., Than, Q.K. (2012). From Clinical to Genomics Data in Hepatitis Study, The First Asian Conference on Information Systems, SiemRiep 6-8 December 2012.
     
  49. Bui, N.T., Ho, T.B., Kawasaki, S. (2012). A Sequential Apriori Algorithm for Discriminative Design Rules of Effective siRNA Sequences, 13th International Symposium on Knowledge and Systems Science , Kanazawa 19-20 November 2012.
     
  50. Than, K., Ho, T.B., Pham, N.K., Nguyen, D.K. (2012). Supervised dimension reduction with topic model, 4th Asian Conference on Machine Learning 2012, 4-6 November 2012, Singapore [PDF].
     
  51. Than, K., Ho, T.B. (2012). Fully sparse topic models, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 24-28 September 2012, Bristol, UK [PDF].
     
  52. Ho, B.H., Ho, T.B. (2012). Analysis of gene expression behaviour by nucleosome and protein binding profiles, The 10th Asia Pacific International Conference on Bioinformatics and Biomedical Technology, ICBBT 2012, Singapore, 26-28 February 2012.
     
  53. Hoang, C., Le, A.C., Ho, T.B. (2012). Exploiting Non-Parallel Corpora for Statistical Machine Translation (Best student paper award), IEEE RIVF International Conference on Information and Communication Technologies, Ho Chi Minh City, February 27-March 2, 2012 [PDF].
     
  54. Pham,T.H., Ho, T.B., Nguyen, Q.D., Nguyen, V.H., Tran, D.H. (2012). Multivariate Mutual Information Measures for Discovering Biological Networks, IEEE RIVF International Conference on Information and Communication Technologies, Ho Chi Minh City, February 27-March 2, 2012 [PDF].
     
  55. Ho, B.H., Le, N.T., Ho, T.B. (2012). Analysis of functional linkages between nucleosome dynamics and trans-regulatory factors, 4th International Conference on Bioinformatics and Biomedical Technology 2012, BICoB-2012, Las Vegas, 12-14 March 2012.
     

    2011

  56. Nguyen, T.P., Ho, T.B. (2011). Detecting Disease Genes Based on Semi-Supervised Learning and Protein-Protein Interaction Networks, Artificial Intelligence in Medicine, Vol. 54, 63-71 [PDF].
     
  57. Tran, D.H., Ho, T.B., Pham, T.H., Satou, K. (2011). microRNA expression profiles for classification and analysis of tumor samples, IEICE Trans. Information Systems, E94.D(3), 416-422, 2011 [PDF].
     
  58. Dam, H.C., Ho, T.B., Sugiyama, A. (2011). Simulation-based Data Mining Solution to the Structure of Water Surrounding Proteins. Twenty-Second International Join Conference on Artificial Intelligence (IJCAI-2011), Barcelona, 16-22 July 2011. [PDF]
     
  59. Ho, T.B. (2011). Knowledge Discovery (Chapter 4), Knowledge Technology and Science, Y. Nakamori (Ed.), CRC Press and Taylor & Francis, 57-81.
     
  60. Ho, T.B., Kawasaki, S., Le, N.T., Kanda, T., Le, T.N., Takabayashi, K., Yokosuka, O. (2011). Finding HCV NS5A Discriminative Motifs for Assessment of IFN/Ribavarin Therapy Effect, Workshop Data Mining in Genomics and Proteomics, International Conference ECML/PKDD, September 5-9, 2011, Athens,32-42. [PDF].
     
  61. Le, N.T., Ho, T.B. (2011). Reconstruction of histone modification network from next-generation sequencing data, IEEE International Conference on Bioinformatics and Bioengineering BIBE 2011 , Taichung, October 24-26. [PDF]
     
  62. Luong, T.D., Ho, T.B. (2011). A Distributed Solution for Privacy Preserving Outlier Detection, The Third International Conference on Knowledge and Systems Engineering, Hanoi, October 14-17, 2011. [PDF]
     
  63. Nguyen, T.P., Ho, T.B. (2011).Mining multiple biological data for reconstructing signal transduction networks, Data Mining: Foundations and Intelligent Paradigms, D.E. Holmes, L.C. Jain (Eds.), Springer-Verlag, 163-185.
     

    2010

  64. Luong, T.D., Ho, T.B. (2010). Privacy Preserving Frequency Mining in 2-Part Fully Distributed Setting, IEICE Trans. Information Systems, Vol.E93-D, No.10, 2701-2708, October 2010. [PDF]
     
  65. Luong, T.D., Ho, T.B. (2010). Enhancing Privacy in Distributed Data Clustering, Journal of Computer Science and Cybernetics, Vol. 26, No. 2, 1-15. [PDF]
     
  66. Tran, D.H., Satou, K., Ho, T.B., Pham, T.H. (2010). Computational Discovery of miR-TF Regulatory Modules in Human Genome, Bioinformation, 4(8), 371-377. [PDF]
     
  67. Le, N.T., Ho, T.B., Ho, B.H. (2010). Sequence-dependent histone variant positioning signatures, BMC Genomics, Vol. 11 (Suppl 4), 1-9. [PDF]
     
  68. Luong, T.D., Ho, T.B., Nguyen, T.B. (2010). Privacy Preserving Classification in Two-Dimension Distributed Data, International Conference on Knowledge and Systems Engineering KSE 2010, 7-9 October, Hanoi.
     
  69. Ho, B.H., Le, N.T., Ho, T.B. (2010). Quantitatively assessing the effect of regulatory factors on nucleosome dynamics, IEEE-RIVF International Conference on Computing and Communication Technologies, 1-4 November, Hanoi.
     
  70. Pham, N.K., Ho, T.B. (2010). Mining parallel documents across Web sites, The Sixth Asia Information Retrieval Societies Conference AIRS 2010, 1-3 December, Taipei.
     
  71. Kawasaki, S., Ho, T.B., Kanda, T., Yokosuka, O., Takabayashi, K., Le, T.N. (2010). Discovering Relationship between Hepatitis C Virus NS5A Protein and Interferon/Ribavirin Therapy, Fifth International Conference on Knowledge, Information and Creativity Support Systems KICSS'10, November 25-27, 2010, Chiangmai.
     

    2009

  72. Theramunkong, T., Kijsirikul, B., Cercone, N., Ho, T.B. (2009). Advances in Knowledge Discovery and Data Mining (Eds.), Proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence LNAI 5476, Springer.
     
  73. Zhang, W., Yoshida, T., Ho, T.B., Tang, X. (2009). Augmented Mutual Information for Multiword Extraction, International Journal of Innovative Computing, Information and Control, Vol. 5, No. 2, 543-554. [PDF]
     
  74. Zhang, W., Yoshida, T., Tang, X., Ho, T.B. (2009). Improving effectiveness of mutual information for substantival multiword expression extraction, Expert Systems with Applications, Elsevier, Vol. 36. No. 8, 10919-10930. [PDF]
     
  75. Le, N.T., Ho, T.B., Tran, D.H. (2009). Characterizing nucleosome dynamics from genomic and epigenetic information using rule induction learning, BMC Genomics, 10(Suppl.3): S27. [PDF]
     
  76. Luong, T.D., Ho, T.B. (2009). Privacy preserving EM-based Clustering, IEEE RIVF International Conference on Computing and Communication Technologies, RIVF09, 13-17 July 2009, Da Nang, 111-117, IEEE Press. [PDF]
     
  77. Ho, T.B., Takabayashi, K., Pham, T.H. , Nguyen, T.P., Kawasaki, S., Tran, D.H. (2009). Towards service-oriented knowledge discovery in biomedicine research, International Workshop on Third Generation Data Mining, ECML/PKDD 2009, 7-11 September, Slovenia, 100-113.
     
  78. Nguyen, L.M., Nguyen, H.T., Nguyen, P.T., Ho, T.B., Shimazu, A. (2009). An Empirical Study of Vietnamese Noun Phrase Chunking with Discriminative Sequence Models, 7th Workshop on Asian Language Resources at 47th Annual Meeting of the Association for Computational Linguistics, ACL-IJCNLP 2009, 2-7 August, Singapore, 9-16.
     
  79. Sugiyama, A., Mizukami, T., Dam, H.C., Ho, T.B. (2009) "Support Vector Machine Study for Dy-namical Water Classification Problem in Biosystems", Fourth International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2009), November 25-28, Seoul, 7-16.
     

    2008

  80. Ho, T.B., Zhou, Zhi-Hua (2008). PRICAI 2008: Trends in Artificial Intelligence (Eds.), Proceedings of the 10th Pacific Rim Conference on Artificial Intelligence, Springer, LNAI 5351.
     
  81. Nguyen, C.H., Ho, T.B. (2008). An Efficient Kernel Matrix Evaluation Measure, Pattern Recognition, Elsevier, 41 (11), 3366-3372. [PDF]
     
  82. Nguyen, T.P., Ho, T.B. (2008). An Integrative Domain-Based Approach to Predicting Protein-Protein Interactions, Journal of Bioinformatics and Computational Biology, Vol. 6, Issue 6, 1115-1132, Imperial College Press. [PDF]
     
  83. Tran, D.H., Pham, T.H., Satou, K., Ho, T.B. (2008). Prediction of human microRNA hairpin using only positive sample learning, Journal of Biomedical Science and Engineering (JBiSE), Vol. 1, Issue 2, 141-146, Scientific Research Publishing. [PDF]
     
  84. Tran, D.H., Satou, K., Ho, T.B. (2008). Finding microRNA regulatory modules in human genome using rule induction, Journal BMC Bioinformatics, Vol. 9, No. Supp 11, 1-10, MedCentral. [PDF]
     
  85. Nguyen, T.P., Satou, K., Ho, T.B., Takabayashi, K. (2008). Constructing Signal Transduction Networks Using Multiple Signaling Feature Data, Statistical and Relational Learning in Bioinformatics 2008 Workshop, PKDD/ECML 2008, September 15-19, Antwerp.
     
  86. Tanabe, H., Ho, T.B., Nguyen, C.H., Kawasaki, S. (2008). Simple but effective methods of combining kernels for the prediction problem in biology, IEEE RIVF International Conference on Computing and Communication Technologies, RIVF08, 13-17 July 2008, Ho Chi Minh city, IEEE Press, 71-78. [PDF]
     
  87. Nguyen, P.T., Shimazu, A., Ho, T.B., Nguyen, L.M., Nguyen, V.V. (2008). A Tree-to-String Phrase-based Model for Statistical Machine Translation, Twelfth Conference on Computational Natural Language Learning, Manchester, 16-17 August, 143-150. [PDF]
     
  88. Ben Hassine, A., Ho, T.B. (2008). Asynchronous Constraint-based Approach - New Solution for Any Constraint Problem, Studies in Computational Intelligence, Springer-Verlag, 169-184.
     
  89. Ho, T.B. (2008). Vietnamese Language Processing: Issues and Challenges, Special Issue in Journal of Science, Natural Sciences and Technology, Vol. 24, N3S, Vietnam National University- Hanoi Publishers, 10-16.
     
  90. Ho, T.B., Pham, N.K., Ha, T.L., Nguyen, P.T. (2008). Issues and First Phase Development of the English-Vietnamese Translation System EVSMT1.0, Special Issue in Journal of Science, Natural Sciences and Technology, Vol. 24, N3S, Vietnam National University- Hanoi Publishers, 59-66.
     
  91. Nguyen, C.H., Ho, T.B., Kreinovich, V. (2008). Estimating Quality of Support Vector Machines Learning Under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity, International Workshop on Interval/Probabilistic Uncertainty and Non-Classical Logics (UncLog'08), Kanazawa, March 25-28, Advances in Soft Computing 46, Springer, 57-69. [PDF]
     
  92. Luong, T.D., Ho, T.B. (2008). Privacy Preserving for Multivariate Outlier Detection, Third International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2008), December 22-23, Hanoi, 7-16.
     
  93. Tran, D.H., Ho, T.B., Satou, K., Pham, T.H. (2008). A computational method for classifying and analyzing tumor samples using microRNA expression profiles, Third International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2008), December 22-23, Hanoi, 120-127 (Student Best Paper Award).
     
  94. Nguyen, P.T., Le, A.C., Shimazu, A., Ho, T.B. (2008). Integration of Word Sense Disambiguation into Phrase-Based Statistical Machine Translation, Empirical Methods for Asian Language Processing Workshop (AMALP 2008), in conjunction with Tenth Pacific Rim International Conference on Artificial Intelligence (PRICAI-08), December 16-19, Hanoi, 114-122.
     

    2007

  95. Ho, T.B., Kawasaki, S., Takabayashi, K., Nguyen, C.H. (2007). Integration of learning methods, medical literature and expert inspection in medical data mining, IEICE Trans. Information and Systems, Vol. E90-D, No. 10, 1574-1581 [PDF].
     
  96. Ho, T.B., Nguyen, C.H., Kawasaki, S., Le, S.Q., Takabayashi, K. (2007). Temporal Relations Extraction in Mining Hepatitis Data, Journal of New Generation Computing, Vol. 25, No. 3, 247-262 (a short version in PAKDD 2007) [PDF].
     
  97. Pham, T.H., Ho, T.B. (2007). A hyper-heuristic for descriptive rule induction, International Journal of Data Warehousing and Mining, Vol. 3, No. 1, 54-66 [PDF].
     
  98. Ben Hassine, A., Ho, T.B. (2007). An Agent-Based Approach to Solve Dynamic Meeting Scheduling Problems with Preference, International Journal of Engineering Applications of Artificial Intelligence , Elsevier Publishers, Volume 20, Issue 6, 857-873 [PDF].
     
  99. Nguyen, T.P., Ho, T.B. (2007). Combining Domain Fusions and Domain-Domain Interactions to Predict Protein-Protein Interactions, Workshop on Data Mining in Bioinformatics BIOKDD07, 13th International Conference on Knowledge Discovery and Data Mining ACM SIGKDD 2007, San Jose, August 12-16, 27-34.
     
  100. Pham, T.H., Ho, T.B., Tran, D.H., Satou, K. (2007). Prediction of Histone Modifications in DNA sequences, IEEE 7th International Symposium on Bioinformatics & Bioengineering (IEEE BIBE 2007), Cambridge-Boston, Massachusetts, October 14-17, 959-966.
     
  101. Ho, T.B. (2007). Finding Rules in Data, In Selected Contributions in Data Analysis and Classification, P. Brito, P. Ber-trand, G. Cucumel, F. De Carvalho (Eds.), Springer, 387-396 [PDF].
     
  102. Huynh, V.N., Ho, T.B., Nakamori, Y. (2006). An Overview on the Approximation Quality Based on Rough-Fuzzy Hybrids, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision, H. Bustince, F. Herrera, J. Montero (Eds.), Springer-Verlag, Chapter 25, 493-514 [PDF].
     
  103. Nguyen, T.P., Ho, T.B. (2007). Prediction of protein-protein interactions and disease genes by machine learning, International Workshop on Data Mining and Statistical Science (DMSS2007), Tokyo, October 5-6, 51-70.
     
  104. Nguyen, T.P., Ho, T.B. (2007). A Semi-Supervised Learning Approach to Disease Gene Prediction, 2007 IEEE International Conference on BioInformation and BioMedicine (BIBM 2007), Silicon Valley, November 2-4, 423-428.
     
  105. Nguyen, T.P., Ho, T.B., Nguyen, N.B. (2007). Prediction of Protein-Protein Interactions Using Bayesian Networks, The 2nd International Conference on Knowledge, Information and Creativity Support Systems KICSS07, Ishikawa, November 5-7, 207-214.
     
  106. Nguyen, T.B., Ho, T.B., Pham, C., Kawasaki, S. (2007). Matching Complex Documents Using Tolerance Rough Set Model, The 8th International Symposium on Knowledge and Systems Sciences KSS07, Ishikawa, November 5-7, 156-162.
     
  107. Nguyen, C.H., Ho, T.B. (2007). Kernel Matrix Evaluation, Twentieth International Joint Conference on Artificial Intelligence IJCAI'07, Hyderabad, January 6-12, 987-992 [PDF].
     
  108. Nguyen, H.S., Ho, T.B. (2007). Rough Document Clustering and the Internet, Handbook of Granular Computing, Pedrycz, Skowron, Kreinovich (Eds.), John Wiley & Sons, 987-1004.
     
  109. Ho, T.B., Kawasaki, S., Granat, J. (2007) Knowledge Acquisition by Machine Learning and Data Mining. Chapter 4, Creative Environments, Wierzbicki and Nakamori (Eds.), Springer-Verlag, 69-91 [PDF].
     
  110. Huynh, V.N., Nakamori, Y., M. Ryoke, Ho, T.B. (2007). Decision making under uncertainty with fuzzy targets, Fuzzy Optimization and Decision Making, Springer, Springer, Volume 6, Issue 3, 255-278 [PDF].
     
  111. Ho, T.B., Nguyen, T.P., Tran, T.N. (2007) Study of protein-protein interactions from multiple data sources. Advances in Data Warehousing and Mining, , David Taniar (Ed.), IGC Publishers, 280-307.
     

    2006

  112. Ho, T.B., Dong, T.B.T., Duong, A.D., Nguyen, D.T. (2006). ITACS 2006, Theories and Applications of Computer Science (Eds.), World Scientific.
     
  113. Huynh, V.N., Nakamori, Y., Ho, T.B., Murai, T (2006). Multiple Attribute Decision Making Under Uncertainty: The Evidential Reasoning Approach Revisited, IEEE Trans. on Systems, Man, and Cybernetics, part A, Vol. 6, No. 4, 804-822 [PDF].
     
  114. Zhang, H., Ho, T.B., Kawasaki, S. (2006). Wrapper feature extraction for time series classification using singular value decomposition, International Journal of Knowledge and Systems Science, Vol. 3, No. 1, 53-60.
     
  115. Phan, X.H., Nguyen, L.M., Ho, T.B., Horiguchi, S. (2006). Improving Discriminative Sequential Learning by Discovering Important Associations of Statistics, ACM Transactions on Asian Language and Information Processing , Vol. 5, No. 4, 413-438 [PDF].
     
  116. Nguyen, D.D., Ho, T.B. (2006). A Bottom-up Method for Simplifying Support Vector Solutions, IEEE Transactions on Neural Networks, Vol.17, No. 3, 792-796. [PDF].
     
  117. Ben Hassine, Ho, T.B., A., Ito, T. (2006). Meetings Scheduling Solver Enhancement with Local Consistency Reinforcement, Applied Intelligence, Springer, Vol. 24, No. 2, 143-154. [PDF].
     
  118. Zhang, H., Ho, T.B., Lin, M.S., Huang, W. (2006). Combining the Global and Partial Information for Distance-Based Time Series Classification and Clustering, Journal of Advanced Computational Intelligence & Intelligent Informatics, Fuji Technology Press Ltd., Vol. 10, No. 1, 69-76 [PDF].
     
  119. Dam, H.C., Nguyen, T.C., Nguyen, A.T., Kim, Y.T., Ho, T.B., Mitani, T., Ozaki, T., and Nagao, H. (2006). First Principles Calculations of Ptn (n= 3, 7, 13) Clusters Adsorbed on (5, 5) Single Wall Carbon Nanotube, Chemical Physics Letters, Elsevier, Vol. 432, Issues 1-3, 213-217. [PDF].
     
  120. Zhang, H., Ho, T.B., Zhang, Y., Lin, M.S. (2006). Unsupervised Feature Extraction for Time Series Clustering Using Orthogonal Wavelet Transform, Journal Informatica, Vol. 30, No. 3, 305-319 [PDF].
     
  121. Zhang, H., Lin, S.M., Huang, W., Kawasaki, S., Ho, T.B. (2006). Multiscale Feature Extraction for Time Series Classification with Hybrid Feature Selection, International Conference on Intelligent Computing ICIC'06, Kunming, August 16-19, Lecture Notes in Control and Information Sciences LNCIS 344, 939-944.
     
  122. Nguyen, T.P., Ho, T.B. (2006). Discovering signal transduction networks using signaling domain-domain interactions, Genome Informatics 2006, Yokohama, December 18-20, Universal Academic Press, 35-45.
     
  123. Ho, T.B. (2006). Scientific data mining: Opportunities and challenges (invited talk), International Symposium on Towards Creating New Industries Based on Inter-Nanoscience, December 8-9, Awaji, 61-64.
     
  124. Nguyen, T.L., Elnaffar, S., Katayama, T., Ho, T.B. (2006). UMR2: A Better and More Realistic Scheduling Algorithm for the Grid, International Conference on Parallel and Distributed Computing and Systems (PDCS'06), Dallas, November 13-15, 432-437.
     
  125. Nguyen, T.L., Elnaffar, S., Katayama, T., Ho, T.B. (2006). Grid Scheduling Using 2-Phase Prediction (2PP) and CPU Power, IEEE Innovations and Information Technology (IIT'06) , Dubai, November 19-21.
     
  126. Nguyen, T.L., Elnaffar, S., Katayama, T., Ho, T.B. (2006). MRRS: A More Efficient Algorithm for Scheduling Divisible Workloads of Grid Applications, IEEE/ACM International Conference on Signal-Image Technology and Internet-Based Systems (SITIS'06) , Hammamet (Tunisia), December 17-21.
     
  127. Nguyen, C.H., Ho, T.B. (2006). Sampling for Imbalanced Data Learning, The International Workshop on Data-Mining and Statistical Science (DMSS2006), Sapporo, September 25-26, 12-19.
     
  128. Phan, X.H., Nguyen, L.M., Horiguchi, S., Inoguchi, Y., Ho, T.B. (2006). Parallel Training of CRFs: A Practical Approach to Build Large-Scale Prediction Models for Sequence Data, Workshop on Parallel Data Mining, ECML/PKDD 2006, Berlin, September 18-22, 51-63.
     
  129. Nguyen, T.P., Ho, T.B. (2006). Prediction of domain-domain interactions using inductive logic programming from multiple genome databases, Discovery Science DS'06, 7-10 October, Barcelona, Springer LNAI 4256, 185-196.
     
  130. Kawasaki, S., Ho, T.B. (2006). An Integrated Approach in Medical Data Mining, The First International Conference on Knowledge, Information and Creativity Support Systems KICSS'06, 1-4 August, Ayutthaya, 24-31.
     
  131. Nguyen, D.D., Ho, T.B., Kawasaki, S. (2006). Knowledge Visualization in Hepatitis Study, Asia Pacific Symposium on Information Visualization APVIS 2006, February 1-3, Tokyo, Australian Computer Society, 59-62.
     
  132. Zhang, H., Ho, T.B., Lin, M.S., Liang, X. (2006). Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients, Third International Symposium on Neural Networks (ISNN 2006), 28-31 May, Chengdu. Lecture Notes in Artificial Intelligence LNAI 3971, 1394-1399, Springer.
     
  133. Huynh, V.N., Nakamori, Y., Ryoke, M., Ho, T.B. (2006). A Fuzzy Target Based Model for Decision Making Under Uncertainty, IEEE World Congress on Computational Intelligence WCCI'06, Vancouver. July 16-21, 2006, 1611-1618.
     
  134. Huynh, V.N., Nakamori, Ho, T.B. (2006). Utility Function Induced by Fuzzy Target in Probabilistic Decision Making, The Fifth International Conference on Rough Sets and Current Trends in Computing RSCTC 2006, Kobe, November 6-8. Lecture Notes in Artificial Intelligence LNAI 4259, S. Greco et al. (Eds.), 296-305, Springer.
     
  135. Le, M.H., Ho, T.B., Nakamori, Y. (2006). Detecting Citation Types Using Finite State Machines, 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD'06, 9-12 April, Singapore. Lecture Notes in Artificial Intelligence LNAI 3918, 265-274, Springer.
     
  136. Le, S.Q., Ho, T.B., Le, S.V. (2006). Association-Based Dissimilarity Measures for Categorical Data: Limitation and Improvement, 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD'06, 9-12 April, Singapore. Lecture Notes in Artificial Intelligence LNAI 3918, 493-498, Springer.
     
  137. Tran, D.H., Pham, T.H., Satou, K., Ho, T.B. (2006). Conditional Random Fields for Predicting and Analyzing Histone Occupancy, Acetylation and Methylation Areas in DNA Sequences, 4th European Workshop on Evolutionary Computation and Machine Learning in Bioinformatics, Budapest, 10-12 April, 221-230. [PDF].
     
  138. Phan, X.H., Nguyen, L.M., Inoguchi, Y., Ho, T.B., Horiguchi, S. (2006). High-Performance Training of Conditional Random Fields for Large-Scale Sequential Labeling Applications, International Conference on High Performance Scientific Computing, March 6-10, 2006, Hanoi.
     

    2005

  139. Ho, T.B., Cheung, D. Liu, H. (2005). Advances in Knowledge Discovery and Data Mining (Eds.), Proceedings of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence LNAI 3518, Springer.
     
  140. Pham, T.H., Clemente, J., Satou, K., Ho, T.B. (2005). Computational Discovery of Transcriptional Regulatory Rules, Bioinformatics, Oxford University Press, 101-107 [PDF].
     
  141. Le, S.Q., Ho, T.B.(2005). An Association-based Dissimilarity Measure for Categorical Data, Pattern Recognition Letters 26(16): 2549-2557 [PDF].
     
  142. Phan, X.H., Horiguchi, S., Ho, T.B.(2005). Conditional Models for Automatic Data Integration from the Web, International Journal on Business Intelligence and Data Mining, Vol. 1, No. 2, 194-209 [PDF].
     
  143. Le, M.H., Ho, T.B., Nakamori, Y.(2005). Detecting Emerging Trends from Scientific Corpora, International Journal of Knowledge and Systems Science, Vol. 2, No. 2, 53-59 [PDF].
     
  144. Motoda, H., Ho, T.B., Washio, T., Yada, K., Yoshida, T., Ohara, K. (2005). Active Mining for Structured Data, Journal of Japanese Society for Artificial Intelligence, Vol. 20, No. 2, 172-179. [PDF]
     
  145. Pham, T.H., Satou, K., Ho, T.B. (2005). Support vector machines for prediction and analysis of beta and gamma turns in proteins, Journal of Bioinformatics and Computational Biology (JBCB), Vol. 3, No. 2, 343-358 [PDF].
     
  146. Ho, T.B. (2005). Formal Concept Analysis and Rough Set Theory in Clustering, The Mathematical Foundation of Informatics. Do L.V. & Ito M. (Eds.), World Scientific, 43-53.
     
  147. Pham, T.H., Tran, D.H., Ho, T.B., Satou, K., Valiente, G. (2005). Qualitatively Predicting Acetylation and Methylation Areas in DNA Sequences, Genome Informatics 2005, Yokohama, Universal Academic Press, Vol. 15, No. 2, 3-11.
     
  148. Nguyen, T.L., Elnaffar, S., Katayama, T., Ho, T.B.(2005). A Scheduling Method for Divisible Workload Problem in Grid Environment, 6th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT'05), Dalian, China, IEEE Computer Society, 513-517.
     
  149. Kawasaki, S., Ho, T.B. (2005). Extracting background knowledge from medical literature, First World Congress of the International Federation for Systems Research (IFSR'05), Symposium on Data/Text Mining from Large Databases, Kobe, 15-17 November, S5-4-3.
     
  150. Phan, X.H., Nguyen, L.M., Ho, T.B., Inoguchi, Y., Horiguchi, S. (2005). Co-Training of Conditional Random Fields for Segmenting Sequence Data, First World Congress of the International Federation for Systems Research (IFSR'05), Symposium on Data/Text Mining from Large Databases, Kobe, 15-17 November, S5-2-4 (Best student paper award).
     
  151. Ben Hassine, A., Ho, T.B. (2005). Performing more than AC for Hard Distributed Constraint Satisfaction Problems, Workshop Rational, Robust, and Secure Negotiations in Multi-Agent Systems, The Fourth International Joint Conference on Autonomous Agents and Multi Agent Systems AAMAS'06, Utrecht, 25-29 July, IEEE Computer Society, 83-94.
     
  152. Nguyen, L.M., Shimazu, A., Ho, T.B., Phan, X.H., Horiguchi, S. (2005). Sentence extraction with support vector machine ensemble, First World Congress of the International Federation for Systems Research (IFSR'05), Symposium on Data/Text Mining from Large Databases, Kobe, 15-17 November, S5-2-4.
     
  153. Zhang, H., Ho, T.B., Kawasaki, S. (2005). Wrapper feature extraction for time series classification using singular value decomposition, First World Congress of the International Federation for Systems Research (IFSR'05), Symposium on Data/Text Mining from Large Databases, Kobe, 15-17 November, S5-4-4.
     
  154. Nguyen, C.H., Ho, T.B. (2005). An Imbalanced Data Rule Learner, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Porto, 3-7 October, Springer LNAI 3721, 617-624.
     
  155. Tran, T.N., Satou, K., Ho, T.B. (2005). Using Inductive Logic Programming for Predicting Protein-Protein Interactions from Multiple Genomic Data, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Porto, 3-7 October, Springer LNAI 3721, 321-330.
     
  156. Phan, X.H., Nguyen, L.M., Horiguchi, S., Ho, T.B., Inoguchi, Y. (2005). Classification with Maximum Entropy Modeling of Predictive Association Rules, 16th European Conference on Machine Learning, Porto, 3-7 October, Springer LNAI 3720, 682-689.
     
  157. Nagai, K., Ho, T.B. (2005). Passage Associations Extraction from Document Collections, Conference of Pacific Association for Computational Linguistics PACLING'05, Tokyo 24-27, August, 258-263.
     
  158. Phan, X.H., Nguyen, L.M., Ho, T.B., Horiguchi, S. (2005). Improving Discriminative Sequential Learning with Rare-but-Important Associations, ACM International Conference on Knowledge Discovery and Data Mining, ACM SIGKDD-05, Chicago, August 21-24, 304-313.
     
  159. Nguyen, D.D., Ho, T.B. (2005). An Efficient Method for Simplifying Support Vector Machines, The 22th International Conference on Machine Learning, ICML 2005, Bonn, 7-11 August, 2005, 617-624.
     
  160. Zhang, H., Ho, T.B., Huang, W. (2005). Blind Feature Extraction for Time-Series Classification Using Haar Wavelet Transform, Second International Symposium on Neural Networks, Chongqing, May 30 - June 1, Lecture Notes in Computer Science LNCS 3497, Springer, 605-610.
     
  161. Nguyen, D.D., Ho, T.B. (2005). Speeding-up Model Selection for Support Vector Machines, 18th International Conference of Florida Artificial Intelligence Research Society FLAIRS, Florida, 16-18 May, 2005.
     
  162. Zhang, H., Ho, T.B. (2005). Finding The Clustering Consensus of Time Series with Multi-scale Transform, Fourth IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST'05), Muroran, 25-27 May, Springer 2005.
     

    2004

  163. Huynh, V.N, Nakamori, Y., Ho, T.B., Resconi, G. (2004). A Context Model for Constructing Membership Functions of Fuzzy Concepts Based on Modal Logic, Journal of Information Sciences, Elsevier, Vol. 160, 1-4, 111-129 [PDF].
     
  164. Nguyen, L.M., Shimazu, A., Horiguchi, S., Ho, T.B. (2004). Example-Based Reduction Using Hidden Markov Model, ACM Transactions on Asian Language Information Processing, Vol. 3, Issue 3, 146-158 [PDF].
     
  165. Ho, T.B., Nguyen, T.D., Kawasaki, S. (2004). Failures and Successes in Medical Data Mining. Chapter 6, Knowledge-Based Intelligent Systems for Health Care, T. Ichimura and Yoshida, K. (Eds.), Advanced Knowledge International Publishers, 167-212.
     
  166. Nguyen, L.M., Shimazu, A., Horiguchi, S., Ho, T.B., Fukushi, M. (2004). Probabilistic Sentence Reduction Using Support Vector Machines, The 20th International Conference on Computational Linguistics COLING 2004, 23-27 August, Geneva, 743-749.
     
  167. Pham, T.H., Satou, K., Ho, T.B. (2004). Mining yeast transcriptional regulatory modules from factor DNA-binding sites and gene expression data, Genome Informatics, Yokohama, Universal Academic Press, Vol. 14, No. 2, 287-295 (http://www.jsbi.org/journal.html) [PDF].
     
  168. Le, S.Q., Ho, T.B., Phan, T.T.H. (2004). A novel graph-based similarity measure for 2D chemical structures, Genome Informatics, Yokohama, Universal Academic Press, Vol. 14, No. 2, 82-91 (http://www.jsbi.org/journal.html) [PDF].
     
  169. Ho, T.B. (2004). Scientific Data Mining (invited talk), 5th International Symposium on Knowledge and Systems Sciences, Ishikawa 10-12 November, 346-352.
     
  170. Ho, T.B., Nguyen, C.H., Dam, H.C. (2004). Crystal Structure Determination using Data Mining Methods, 5th International Symposium on Knowledge and Systems Sciences, Ishikawa 10-12 November, 81-86.
     
  171. Phan, X.H., Horiguchi, S., Ho, T.B., Nguyen, L.M. (2004). Automatic Integrating Commercial Data on the Web Using Conditional Models, ECML/PKDD 2004 Workshop on Statistical Approaches to Web Mining , Pisa 20-24 September, 14-25.
     
  172. Ho, T.B., Kawasaki, S., Le, S.Q., Tran, T.N., Takabayashi, K., Yokoi, H. (2004). Combining Temporal Abstraction and Data Mining to Study Hepatitis. ECML/PKDD 2004 Workshop on Discovery Challenge, Pisa 20-24 September, 155-167.
     
  173. Tran, T.N., Ho, T.B. (2004). Predicting Protein-Protein Interactions for the Budding Yeast using Inductive Logic Programming and Multiple Sources, 5th International Symposium on Knowledge and Systems Sciences, Ishikawa 10-12 November, 196-200.
     
  174. Huynh, V.N., Nakamori, Y., Ho, T.B. (2004). Assessment Aggregation in the Evidential Reasoning Approach to MADM under Uncertainty: Orthogonal vs. Weighted Sum, Ninth Asian Computing Science Conference ASIAN'04, Chiangmai, December 8-10, LNCS 3321 Springer, 109-127
     
  175. Le, S.Q., Ho, T.B. (2004). Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach, Discovery Science DS'04, 2-8 October, Pavoda, Springer LNAI 3245, 129-141.
     
  176. Phan, X.H., Horiguchi, S., Ho, T.B. (2004). PEWeb: Product Extraction from Web Based on Entropy Estimation, Web Intelligence (WI 2004), Beijing, 20-24 September 2004, 590-593.
     
  177. Huynh, V.N., Murai, T., Ho, T.B., Nakamori, Y. (2004). Extending the Measure of Rough Dependency for Fuzzy Classification, Joint 2nd International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2004), Yokohama, 21-24 September 2004, THP-8-3.
     
  178. Zhang, H., Ho, T.B., Lin, M.S. (2004). An Evolutionary K-means Algorithms for Clustering Time Series Data, International Conference on Machine Learning and Cybernetics ICMLC 2004, 26-29 August, Shanghai, 1282-1287.
     
  179. Ho, T.B., Nguyen, T.D., Kawasaki, S., Le, S.Q. (2004). Combining Temporal Abstraction and Data Mining Methods in Medical Data Mining. Chapter 7, Intelligent Knowledge-Based Systems, Vol. 3, T. Leondes (Ed.), Kluwer Academic Press, 198-222.
     
  180. Takabayashi, K., Yokoi, H., Ho, T.B., Nguyen, T.D., Kawasaki, S., Le, S.Q., Yokosuka, O., Imazeki, O., Satomura, Y. (2004). Data Mining of Viral Hepatitis with Temporal Abstraction, MedInfo 2004, 7-11 September, San Fransisco.
     
  181. Le, S.Q., Ho, T.B. (2004). Conditional Probability Distribution-based Dissimilarity Measure for Categorical Data, 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD'04, 26-28 May, Sydney. Lecture Notes in Artificial Intelligence, LNAI 3056, Springer, 580-589.
     
  182. Zhang, H., Ho, T.B., Lin, M.S. (2004). A Non-Parametric Wavelet Feature Extractor for Time-Series Classification, 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD'04, 26-28 May, Sydney. Lecture Notes in Artificial Intelligence, LNAI 3056, Springer, 595-603.
     
  183. Huynh, V.N., Murai, T., Nakamori, Y., Ho, T.B. (2004). A New Approach to Belief Modeling, Third International Symposium on Foundations of Information and Knowledge Systems (FoIKS), Wienna, 17-20 February 2004, Lecture Notes in Computer Science LNCS 2942, Springer, 196-212.
     
  184. Ben Hassine, A., Ito, T., Ho, T.B. (2004). Scheduling Meetings with Distributed Local Consistency Reinforcement, 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE-2004), (Best Paper Nominated), Ottawa, 17-20 May 2004; Lecture Notes in Artificial Intelligence LNAI 3029, Springer, 679-688.
     
  185. Ben Hassine, A., Ghedira, K., Ho, T.B. (2004). New Distributed Filtering-Consistency Approach to General Networks, 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE-2004), Ottawa, 17-20 May 2004 Lecture Notes in Artificial Intelligence LNAI 3029, Springer, 708-717.
     
  186. Ben Hassine, A., Defago, X., Ho, T.B. (2004). Agent-Based Approach to Dynamic Meeting Scheduling Problems, The Third International Joint Conference on Autonomous Agents and Multi Agent Systems, New York, August 2004, 1132-1139.
     

    2003

  187. Ho, T.B., Nguyen, T.D., Shimodaira, H., Kimura, M.(2003). A Knowledge Discovery System with Support for Model Selection and Visualization, Applied Intelligence, Kluwer Academic Publishers, Vol. 19, Issue 1-2, 125-141 [PDF].
     
  188. Ho, T.B., Nguyen, D.D. (2003). Chance Discovery and Learning Minority Classes, Journal of New Generation Computing, Ohmsha, Ltd. and Springer-Verlag, Vol. 21, No. 2, 147-160 [PDF].
     
  189. Pham, T.H., Satou, K., Ho, T.B. (2003). Prediction and Analysis of beta-turn in Proteins by Support Vector Machine, Genome Informatics, Universal Academic Press, Vol. 14, 196-205 (http://www.jsbi.org/journal.html) [PDF] .
     
  190. Kawasaki, S., Nguyen, T.D., Ho, T.B. (2003). Temporal Abstraction for Long-Term Changed Tests in the Hepatitis Domain Journal of Advanced Computational Intelligence & Intelligent Informatics, Fuji Technology Press Ltd., Vol. 17, No. 3, 348-354 [PDF].
     
  191. Nguyen, T.D., Kawasaki, S., Ho, T.B. (2003). Discovery of Trends and States in Irregular Temporal Data Abstraction of Long-Term Changed Attributes in the Hepatitis Domain, 6th International Conference on Discovery Science DS-03, Sapporo, 17-19 October, Lecture Notes in Artificial Intelligence 2843, Springer, 410-417.
     
  192. Ho, T.B., Nguyen, T.D., Kawasaki, S., Le, S.Q., Nguyen, D.D., Yokoi, H., Takabayashi, K. (2003). Mining Hepatitis Data with Temporal Abstraction, ACM International Conference on Knowledge Discovery and Data Mining, ACM SIGKDD-03, Washington DC, 24-27 August, 369-377.
     
  193. Hassine, A.B., Ito, T., Ho, T.B. (2003). A New Distributed Approach to Solve Meeting Scheduling Problems, IEEE/WIC International Conference on Intelligent Agent Technology, Halifax, 13-16 October, 588-591.
     
  194. Kawasaki, S., Nguyen, T.D., Ho, T.B. (2003). Abstraction of Long-Term Changed Attributes in the Hepatitis Domain, 7th International Conference on Knowledge-based Intelligent Information and Intelligent Informatics KES-03, Oxford, 3-5 September, 365-372.
     
  195. Huynh, V.N., Ryoke, M., Nakamori, Y., Ho, T.B. (2003). Fuzziness and Uncertainty Within the Framework of Context Model, International Fuzzy Systems Association World Congress IFSA 2003, Istanbul, June 29-July 2, 2003, Lecture Notes in Computer Science 2715, Springer, 219-228.
     
  196. Nguyen, P.C., Akagi, M., Ho, T.B. (2003). Temporal Decomposition: A Promising Approach to VQ-based Speaker Identification, IEEE International Conference on Acoustic, Speech, and Signal Processing ICASSP 2003, Hongkong, 6-10 May, 184-187.
     
  197. Le, S.Q., Ho, T.B. (2003). A k-sets Clustering Algorithm for Categorical and Mixed Data, SANKEN International Symposium on New Trends in Knowledge Processing, Osaka, March 10-11, 124-128.
     
  198. Ho, T.B. (2003). From Artificial Intelligance and Knowledge Management to Knowledge Science, First National Symposium on Research, Development, and Applications of Information and Communication Technology (invited talk), Hanoi, February 22-23, 15-22.
     

    2002

  199. Huynh, V.N., Ho T.B., Nakamori, Y. (2002). A Parametric Representation of Linguistic Hedges in Zadeh's Fuzzy Logic, International Journal of Approximate Reasoning, Elsevier, Vol. 30, No. 3, 203-223 [PDF].
     
  200. Ho, T.B., Kawasaki, S., Nguyen, N.B. (2002). Cluster-based Information Retrieval with a Tolerance Rough Set Model, International Journal of Fuzzy Logic and Intelligent Systems, KFIS, Vol. 2, No. 1, 26-32.
     
  201. Ho, T.B., Nguyen, N.B. (2002). Nonhierarchical Document Clustering by a Tolerance Rough Set Model, International Journal of Intelligent Systems, John Wiley & Sons, Vol. 17, No. 2, 199-212 [PDF].
     
  202. Ho, T.B., Nguyen, T.D., Nguyen, D.D. (2002). A User-Centered Visual Approach to Data Mining. The system D2MS, Intelligent Information Processing, M. Musen, B. Neumann, R. Studer (Eds.), Kluwer Academic Publishers, 213-224.
     
  203. Ho, T.B., Nguyen, T.D., Nguyen, D.D., Kawasaki, S. (2002). Visualization of Data and Knowledge in the Knowledge Discovery Process, Active Mining: New Directions of Data Mining, H. Motoda (Ed.), IOS Press, 229-238.
     
  204. Ho, T.B., Kawasaki, S., Nguyen, N.B. (2002). Documents Clustering Using Tolerance Rough Set Models and Its Application to Information Retrieval, book chapter in Intelligent Exploration of the Web, P.S. Szczepaniak, J. Segovia, J. Kacprzyk, L.A. Zadeh (Eds.), Physica-Verlag, 181-196.
     
  205. Ho, T.B., Nguyen, T.D. (2002). Model Selection in Knowledge Discovery and Data Mining, book chapter in Intelligent Systems: Techniques and Applications, T. Leondes (Ed.), Vol. 4, IV.1-18, CRC Press.
     
  206. Ho, T.B., Nguyen, D.D., Nguyen, T.D., Kawasaki, S. (2002). Extracting Knowledge from Hepatitis Data with Temporal Abstraction, IEEE Conference on Data Mining, Workshop on Active Mining, Maebashi, December 9-12, 91-96.
     
  207. Kawasaki, S., Saitou, A., Nguyen, D.D., Ho, T.B. (2002). Mining from Medical Data: Case-Studies in Meningitis and Stomach Cancer Domains, KESS 2002, 6th International Conference on Knowledge-based Intelligent Information & Engineering Systems, Crema, September 16-18, 2002, 547-551.
     
  208. Nguyen, L.M., Horiguchi, S., Ho, T.B., Le, A.C., Nguyen, V.V., Nguyen, P.T. (2002). Sentence Reduction using Semantic Parsing with Rich Knowledge Base, Joint Third International Conference on Intelligent Technologies and Third Vietnam-Japan Symposium on Fuzzy Systems and Applications, Hanoi, December 3-5, 376-379.
     
  209. Huynh, V.N., Nakamori, Y., Ho, T.B. (2002). Modelling Vague Beliefs using Fuzzy Context Model, Joint Third International Conference on Intelligent Technologies and Third Vietnam-Japan Symposium on Fuzzy Systems and Applications, Hanoi, December 3-5, 61-66.
     
  210. Nakada, T., Ho, T.B., Kunifuji, S. (2002). Finding Potential Communities from Personal Homepages, International Conference on Artificial and Computational Intelligence IASTED'02, Tokyo, September 25-27, 191-196.
     
  211. Pham, N.A.H., Ho, T.B. (2002). A Distributed Algorithm for Mining Association Rules, Third International Conference on Parallel and Distributed Computing, Kanazawa, September 3-6, 190-195.
     
  212. Ho, T.B., Nguyen, D.D., Kawasaki, S. (2002). Learning Minority Classes in Unbalanced Datasets, Third International Conference on Parallel and Distributed Computing, Kanazawa, September 3-6, 196-203.
     
  213. Ho, T.B., Nguyen, T.D., Nguyen, D.D. (2002). Visualization Support for a User-Centered KDD Process, ACM International Conference on Knowledge Discovery and Data Mining, ACM SIGKDD-02, Edmonton, 23-26 July, 519-524.
     
  214. Ho, T.B., Saito, A., Kawasaki, S., Nguyen, D.D., Nguyen, T.D. (2002). Failure and Success Experience in Mining Stomach Cancer Data, International Workshop Data Mining Lessons Learned, Inter. Conf. Machine Learning 2002, Sydney, 8-12 July, 40-47.
     
  215. Fujikawa, Y., Ho, T.B. (2002). Cluster-based Algorithms for Filling Missing Values, 6th Pacific-Asia Conf. Knowledge Discovery and Data Mining, Taiwan, 6-9 May, Lecture Notes in Artificial Intelligence 2336, Springer, 549-554.
     
  216. Nguyen, T.D., Ho, T.B., Nguyen, D.D. (2002). Data and Knowledge Visualization in the Knowledge Discovery Process, 5th International Conference Recent Advances in Visual Information Systems, Taiwan, 11-13 March, Lecture Note in Computer Science 2314, Springer, 311-321.
     
  217. Huynh, V.N, Nakamori, Y., Ho, T.B., Resconi, G. (2002). A Context Model for Constructing Membership Functions of Fuzzy Concepts Based on Modal Logic, Inter. Symp. on Foundations of Information and Knowledge Systems Kiel, 19-22 February, Lecture Note in Computer Science 2284, Springer, 93-104.
     
  218. Kawasaki, S., Saitou, A., Ho, T.B. (2002). Mining from Medical Data: Case Studies in Meningitis and stomach Cancer Domains, Third International Conference on Intelligent Technologies and Third Vietnam-Japan Symposium on Fuzzy Systems and Applications, pp.~371-375.
     

    2001

  219. Ho, T.B., Nguyen, T.D., Nguyen, D.D., Kawasaki, S. (2001). Visualization Support for User-Centered Model Selection in Knowledge Discovery and Data Mining, International Journal of Artificial Intelligence Tools, World Scientific, Vol. 10, No. 4, 691-713.
     
  220. Ho, T.B., Nguyen, T.T., Nguyen, P.C., Luong, C.M. (2001). Towards a Practical Framework for Vietnamese Natural Language Processing, Vietnam-Japan Symposium on Fuzzy Systems and Applications, NCST, Hanoi, 7-9 December, 297-304.
     
  221. Ho, T.B., Nguyen, D.D., Kawasaki, S. (2001). Mining Prediction Rules from Minority Classes, 14th International Conference on Applications of Prolog (INAP2001), International Workshop Rule-Based Data Mining RBDM 2001, Tokyo, 20-22 October, 254-264.
     
  222. Ho, T.B., Nguyen, T.D. (2001). Visualization Support for User-Centered Model Selection in Knowledge Discovery in Databases, Proceedings 13th IEEE Internationals Conference on Tools with Artificial Intelligence ICTAI 2001, Texas, USA,7-9 November, 228-235.
     
  223. Ho, T.B., Kawasaki, S., Nguyen, N.B. (2001). Cluster-based Information Retrieval with Tolerance Rough Set Model, Second International Symposium on Advanced Intelligent Systems, 24-25 August, Daejeon, Korea, 6-11.
     
  224. Ho, T.B., Kawasaki, S., Nguyen, D.D. (2001). Extracting Predictive Knowledge from Meningitis Data by Integration of Rule Induction and Association Mining, International Workshop Challenge in KDD, 22 May, Shimane, Japan, 25-32, Lecture Notes in Artificial Intelligence 2253, Springer 2001, 508-515.
     
  225. Nguyen, T.D., Ho, T.B., Shimodaira, H. (2001). A Scalable Algorithm for Rule Post-Pruning of Large Decision Trees, 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD00, 16-18 April, Hongkong. Lecture Notes in Artificial Intelligence 2035, Springer, 467-476.
     

    2000

  226. Ho, T.B. (2000). Two Approaches to the Representation and Interpretation of Concepts in Concept Lattices, Information Modelling and Knowledge Bases XI, IOS Press, 12-25.
     
  227. Ho, T.B. (2000). Knowledge Discovery From Unsupervised Data in Support of Decision Making, Chapter 15, Knowledge Based Systems Techniques and Applications, C.T. Leondes (Ed.), Academic Press, 435-461.
     
  228. Nguyen, T.D., Ho, T.B., Shimodaira, H. (2000). A visualization tool for interactive learning of large decision trees, Proceedings 12th IEEE Internationals Conference on Tools with Artificial Intelligence ICTAI 2000, Vancouver, 13-15 November, 28-35.
     
  229. Nguyen, N.B., Ho, T.B. (2000). A Mixed Similarity Measure in Near-Linear Computational Complexity for Distance-based Methods, 4th European Conference on Principles of Data Mining and Knowledge Discovery PKDD 2000, Lyon, 13-16 September, Lecture Notes in Artificial Intelligence 1910, Springer, 211-220.
     
  230. Kawasaki, S., Nguyen, N.B., Ho, T.B. (2000). Hierarchical Document Clustering Based on Tolerance Rough Set Model, 4th European Conference on Principles of Data Mining and Knowledge Discovery PKDD 2000, Lyon, 13-16 September, Lecture Notes in Artificial Intelligence 1910, Springer, 458-463.
     
  231. Ho, T.B., Nguyen, N.B., Kawasaki, S. (2000). Tolerance Rough Set Model Approach to Document Clustering, Workshop on Text Mining, The Sixth ACM-SIGKDD International Conference on Knowledge Discovery and Data Mining KDD-2000, Boston, 20-23 August, 89-90.
     
  232. Ho, T.B. (2000). Knowledge Discovery and Data Mining: Problems, Challenges, and Some Research Results, invited paper, 44th Annual Conference of the Institute of Systems, Control and Information Engineers, Kyoto, 16-18 May, 523-526.
     
  233. Nguyen, T.D., Ho, T.B. (2000). Interactive Visualization in Mining Large Decision Trees, 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD00, 18-20 April, Kyoto. Lecture Notes in Artificial Intelligence 1805, Springer, 345-348.
     

    1999

  234. Nguyen, D.T., Ho, T.B. (1999). An Interactive-Graphic System for Decision Tree Induction , Journal of Japanese Society for Artificial Intelligence, JSAI, Vol. 14, N. 1, 131-138 [PDF].
     
  235. Ho, T.B. (1999). Rule Induction in Constructing Knowledge-Based Decision Support Systems, Chapter 13, Decision Support Systems for Sustainable Development. A Resource Book of Methods and Applications, G. Kersten, Z. Mikolajuk, A. Gar-On Yeh (Eds.), Kluwer Academic Publishers, 263-276.
     
  236. Ho, T.B., Nguyen, T.D., Nguyen, N.B. (1999). An Agent-based Architecture in Knowledge Discovery and Data Mining, 1st Pacific-Asia Conference Intelligent Agent Technology, Hongkong, December, World Scientific, 259-263.
     
  237. Ho, T.B., Nguyen, N.B., Yamaguchi, N., Nguyen, T.D., Ngo, C.S. (1999). Discovery of Diagnostic Knowledge from Meningitis and Cancer Data, The International Symposium on Medical Informatics and Fuzzy Technology, Hanoi, August, 149-157.
     
  238. Ho, T.B., Nguyen, N.B., Morita, T. (1999). Study of a Mixed Similarity Measure for Classification and Clustering, 3th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD99, Beijing, April 1999. Lecture Notes in Artificial Intelligence 1574, Springer, 375-379.
     
  239. Ho, T.B. (1999). Mining Unsupervised Data by Conceptual Clustering, Data Mining and Knowledge Discovery in Data Science, invited talk, Y. Baba et al. (Eds.), Institute of Statistical Mathematics, Tokyo, March 1999, 29-43.
     

    1998

  240. Ho, T.B., Funakoshi, K. (1998). Information Retrieval Using Rough Sets, Journal of Japanese Society for Artificial Intelligence, JSAI, Vol. 13, N. 3, 424-433 [PDF].
     
  241. Funakoshi, K., Ho, T.B. (1998). A Rough Set Approach to Information Retrieval, Chapter 9, Rough Sets in Knowledge Discovery, L. Polkowski, A. Skowron (Eds.), Physica-Verlag, 166-177.
     
  242. Ho, T.B., Nguyen, T.D., Shimodaira, H., Kimura, M. (1998). An Interactive-Graphic Environment for Discovering and Using Conceptual Knowledge, in Information Modelling and Knowledge Bases IX, J.P. Charrel, H. Jaakkola, H. Kangassalo, E. Kawaguchi (Eds.), IOI Press, 131-145.
     
  243. Ho, T.B., Nguyen, T.D., Nguyen, N.B., Ito, T. (1998). Development of Some Methods and Tools for Discovering Conceptual Knowledge (Posters and Demos), International Conference Discovery Science 98, Fukuoka, Japan, December 14-16, 1998, Lecture Notes in Artificial Intelligence, Springer, December 1998, 415-416.
     
  244. Ho, T.B., Nguyen, D.T. (1998). Interactive Visualisation for Predictive Modelling with Decision Tree Induction, 2nd European Conference on Principles of Data Mining and Knowledge Discovery, Nantes, France, September 23-26, 1998, Lecture Notes in Artificial Intelligence 1510, Springer, September 1998, 158-166.
     
  245. Ho, T.B., Nguyen, T.D., Shimodaira, H., Kimura, M. (1998). An Interactive-Graphic Environment for Extracting Knowledge from Data International Conference on Knowledge Extraction and Symbolic Data Analyis KESDA98, Luxembourg, April 1998, Eurostat, 199-209.
     

    1997

  246. Ho, T.B. (1997). Discovering and Using Knowledge From Unsupervised Data, Journal Decision Support Systems, Elsevier, Vol. 21, No. 1, 27-41 [PDF].
     
  247. Ho, T.B., Nguyen T.D., Kimura M. (1997). Induction of Decision Trees Based on the Rough Set Theory, in Data Science, Classification and Related Methods, C. Hayashi et al. (Eds.), Springer, 215-222.
     
  248. Ho, T.B. (1997). Unsupervised Concept Learning Using Rough Concept Analysis, in Data Science, Classification and Related Methods, C. Hayashi et al. (Eds.), Springer, 404-411.
     
  249. Ho, T.B. (1997). Incremental Conceptual Clustering in the Framework of Galois Lattice, in KDD: Techniques and Applications, H. Lu, H. Motoda and H. Luu (Eds.), World Scientific, 49-64.
     
  250. Ho, T.B., Luong, C.M. (1997). Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results, International Joint Conference on Artificial Intelligence IJCAI97, Nagoya, Morgan Kaufmann, August 1997, 258-263.
     
  251. Ho, T.B., Nguyen, T.D., Shimodaira, H., Kimura, M. (1997). An Interactive-Graphic Environment for Discovering and Using Conceptual Knowledge, 7th European-Japanese Conference on Information Modelling and Knowledge Bases, Toulouse, May 1997, 327-343.
     
  252. Ho, T.B. (1997). Acquiring Concept Approximations in the Framework of Rough Concept Analysis, 7th European-Japanese Conference on Information Modelling and Knowledge Bases, Toulouse, May 1997, 186-195.
     
  253. Honda, T., Motizuki, H., Ho, T.B., Okumura, M. (1997). Generating Decision Trees from an Unbalanced Data Set, 9th European Conference on Machine Learning, Prague, April 1997, 68-77.
     
  254. Ho, T.B., Funakoshi, K. (1997). Information Retrieval Using Rough Sets, Pacific Asian Conference on Expert Systems, Singapore, February 1997, 361-368.
     

    1996

  255. Ho, T.B. (1996). Automation in Knowledge Engineering Via Inductive Learning, in Advanced IT Tools, N. Terashima and E. Altman (Eds.), Chapman & Hall, 543-550.
     
  256. Ho, T.B. (1996). Combining Views on Concepts in Unsupervised Concept Learning, Pacific Rim International Conference on Artificial Intelligence PRICAI'96, Lecture Notes in Artificial Intelligence 1114, Springer-Verlag, 336-347.
     
  257. Ho, T.B. (1996). A Hybrid Model for Concept Formation, in Information Modelling and Knowledge Bases VII, Y. Tanaka et al. (Eds.), IOS Press, 22-35.
     
  258. Ho, T.B. (1996). Discovery of Regularities in Unsupervised Data, Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery RSFD96, Tokyo University Press, November 1996, 390-395.
     
  259. Funakoshi, K., Ho, T.B. (1996). Information Retrieval by Rough Tolerance Relation, International Workshop Rough Sets, Fuzzy Sets and Knowledge Discovery, Tokyo University Press, November 6-8, 1996, 31-36.
     
  260. Ho, T.B., Nguyen, T.D. (1996). Evaluation of Attribute Selection Measures in Decision Tree Induction, 9th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, Fukuoka, June 1996, Gordon and Breach Publisher, 413-418.
     
  261. Ho, T.B. (1996). An Unsupervised Concept Learning Method Based on Rough Concept Analysis, Fifth Conference of the International Federation of Classification Societies IFCS96, Kobe, March 1996, 73-76.
     
  262. Ho, T.B., Nguyen, T.D., Kimura, M. (1996). Induction of Decision Trees Using Rough Sets, Fifth Conference of the International Federation of Classification Societies IFCS96, Kobe, March 1996, 148-151.
     
  263. Ho, T.B. (1996). Finding decision rules in data for knowledge-based decision support systems, International Expert Workshop on Decision Support Systems for Sustainable Development, Macau, February 1996, 1-15.
     
  264. Ho, T.B. (1996).Integrating Inductive Learning and Knowledge Acquisition in the Expert System Generator TESOR, 3th World Congress on Expert Systems, Seoul, February 1996, Cognizant Communication Corporation, 925-932.
     

    1995

  265. Ho, T.B. (1995). An Approach to Concept Formation Based on Formal Concept Analysis, IEICE Trans. Information and Systems, Vol. E78-D, No. 5, 553-559 [PDF].
     
  266. Ho, T.B. (1995). A Hybrid Model for Concept Formation, 5th European/Japanese Seminar on Information Modelling and Knowledge Bases VII, Sapporo, May 1995, I.1-12.
     
  267. Ho, T.B., Nguyen, T.D. (1995). Integrating Human Factors With An Concept Formation Process, Proceedings 6th International Conference on Human-Computer Interaction, Yokohama, July 1995, 74.
     

    1994

  268. Ho, T.B. (1994). A Method for Organizing Knowledge Bases in the Hierarchical Form, 6th IEEE International Conference on Tools With Artificial Intelligence, New Orleans, IEEE Computer Society Press, November 1994, 816-819.
     
  269. Ho, T.B., Maslovski E.K. (1994). An Expert System Approach to Control System Design, International Workshop Knowledge Engineering and Applications, Beijing, China, August 1994, 61-66.
     
  270. Ho, T.B. (1994). A Practical Approach to the Construction of Hierarchical Objects Knowledge Bases, Proceedings 3th Pacific Rim International Conference on Artificial Intelligence PRICAI94, Beijing, International Academic Publishers, August 1994, 311-316.
     
  271. Ho, T.B. (1994). An Integrated Approach to the Construction of Expert Systems, Proceedings of 94 Japan/Korea Joint Conference on Expert Systems, Tokyo, March 1994, 89-92.
     

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