GS. TSKH. Hồ Tú Bảo

GS. TSKH. Hồ Tú Bảo

  • Chức vụ: Cố vấn khoa học
  • Học hàm, học vị: GS.TSKH
  • Email: baoht@vnuis.edu.vn
  • Địa chỉ: Khoa Các khoa học ứng dụng, P. 408, nhà C, Làng sinh viên HACINCO, 79 Ngụy Như Kon Tum, Nhân Chính, Thanh Xuân, Hà Nội.

Bằng cấp

  • Kĩ sư Toán: Đại học Bách khoa Hà Nội
  • Thạc sĩ: Trí tuệ nhân tạo, Đại học Paris 6, CH Pháp
  • Tiến sĩ: Trí tuệ nhân tạo, Đại học Paris 6, CH Pháp
  • TSKH: Trí tuệ nhân tạo, Đại học Paris 9, CH Pháp

Lĩnh vực nghiên cứu

  • Trí tuệ nhân tạo
  1. Trí tuệ nhân tạo
  2.  Học máy
  • Môn đã dạy
  1. Thống kê
  2.  Trí tuệ nhân tạo
  3. Khai phá dữ liệu
  4. Nghiên cứu khoa học
  • Hướng dẫn 31 nghiên cứu sinh đã bảo vệ.
  • Thành viên Ban biên tập 2 tạp chí quốc tế, và Ban chỉ đạo 3 Hội nghị quốc tế vùng Châu Á Thái Bình Dương (PAKDD, ACML, PRICAI).

Các công bố

  • Nuttapong S., Anon P., T.B, Ho, Ekawwit N. (2021). Improving Sentiment Analysis on Clinical Narratives by Exploiting UMLS Semantic Types, Artificial Intelligence in Medicine 113 (2021) 102033 [Q1, IF 5,672].
  • Vu, D.H., Luong, T.D., Ho, T.B.. An Efficient Secure Multi-party Computation Protocol without Secure Channel, Information Sciences Vol. 527, 356-368, 2021 [SCI-Q1, IF: 5,524].
  • Dang, T.T., Nguyen, T.H., Ho, T.B. Causality Assessment of Adverse Drug Reaction: Controlling Confounding Induced by Polypharmacy, Current Pharmaceutical Design, Vol 25, No. 10, 2020 [SCI-Q2, IF: 2,412].
  • Hoang K.H., Ho T.B. Treatment Regimens from Electronic Medical Records, Journal Knowledge-Based Systems, Vol. 181, 104788, 2019 [SCI-Q1, IF: 4,514]
  •  Morahasan, G., Ho, T.B. Extraction of Temporal Information from Clinical Narratives, Journal of Healthcare Informatics Research, 2018.
  • Chau Vo, Tru Cao, Nam Doan, Son Tu, Anh Nguyen, Binh Nguyen, and Bao Ho. EMRVisualization for Patient Progress Tracking: Interface Design and System Implementation, Inter. Journal of Affective Engineering, Vol.18, No.3, 2019 [SCIE]
  • Matsuo, R., Ho, T.B. Semantic Term Weighting for Clinical Texts, Expert Systems with Applications, Vol. 114, 543-551, 2018 [SCI-Q1, IF 4,292].
  • Nguyen, D.K., Ho, T.B., Anti-lopsided Algorithm for Large-scale Nonnegative Least Square Problems, International Journal of Data Science and Analytics, Springer, Vol. 3, 23-34, 2017 [SCI, Q2].
  • Nguyen, D.K., Ho, T.B., Accelerated Parallel and Distributed Algorithm using Limited Internal Memory for Nonnegative Matrix Factorization, Journal of Global Optimization, 2017 [SCI-Q1, IF: 1.821]
  • Ho, T.B., Le, L., Dang, T.T., Taewijit, S., Data-driven Approach to Detect and Predict Adverse Drug Reactions, Current Pharmaceutical Design Journal, Vol. 22, N. 23, 3498-3526, 2016 [SCI-Q2, IF: 2,412].
  • Nguyen, D.K., Ho, T.B., 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, 2016 [SCI]
  • Wei Luo, Dinh Phung, Truyen Tran, Sunil Gupta, Santu Rana, Chandan Karmakar, Alistair Shilton, John Yearwood, Nevenka Dimitrova, Tu Bao Ho, Svetha Venkatesh. Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View, Journal of medical internet research, Vol. 18, Iss. 12, 2016 [SCI-Q1, IF: 4,495]
  • Bui, N.T., Ho, T.B., Kanda, T., A semi-supervised tensor regression model for siRNA efficacy prediction, BMC Bioinformatics, 16:80, 2015 [SCIE-Q1, IF: 2,213].
  • Nguyen, P.T., Le, A.C., Ho, T.B., Nguyen, V.H., Vietnamese Treebank Construction with Entropy-based Error Detection, Language Resource Evaluation, 49(3), 487-519, 2015 [SCIE-Q2, IF: 1,192]
  • Nguyen, H., Le, L., Ho T.B., Computational study on ice growth inhibition of Antarctic bacterium antifreeze protein using coarse grained simulation, Journal of Chemical Physics, 140(22): 225101, 2014 [SCI-Q1, IF: 2,997]
  • Ho, V.T., Nakamori, Y., Ho, T.B., Lim, C.P., 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, Springer, February 2014 (DOI 10.1007/s10639-014-9315-y), 2014 [ESCI-Q1, IF: 2,01]
  • Dam, H.C., Pham, T.L., Ho, T.B., Nguyen, T.A., Nguyen, V.C., Data mining for materials design: A computational study of suingle molecule magnet, Journal of Chemical Physics Vol. 40, Issue 4, 2014 [SCI-Q1, IF: 2,997]
  • Than, K., Ho, T.B., Nguyen, D.K., An effective framework for supervised dimension reduction the diversity and log-normal of data, Neurocomputing, Elsevier, Vol. 139, 397-407, 2014 [SCI-Q1, IF: 4,072]
  • Than, K., Ho, T.B., Modeling the diversity and log-normal of data, Intelligent Data Analysis, Volume 18(6), 1067-1088, 2014 [SCI-Q3, IF: 0,612]
  • Le, N., Ho, T.B., Kanda, T., Kawasaki, S., Takabayashi, K., Wu, S., Yokosaka, O., A Semi-Supervised Learning Method for Discriminative Motif Finding and Its Application, Journal of Universal Computer Science, Vol. 19. No. 4, 563-580, 2013 [SCIE-Q2, IF: 1.066]
  • Hoang, C., Le, A.C., Pham, B.S., Ho, T.B., An Efficient Framework for Exploiting Parallel Sentences from Non-Parallel Corpora, Fundamenta Informaticae, Vol 130, 179-199, 2013 [SCIE-Q2, IF: 0,658]
  • Le, N.T, Ho, T.B., Ho, B.H., Computational reconstruction of transcriptional relationships from ChIP-Chip data, IEEE/ACM Trans. Comput. Biology Bioinform. 10(2): 300-307, 2013 [SCI-Q2, IF: 2,428]
  • Ho, B.H., Le, N.T., Ho, T.B., Quantitatively assessing the effect of regulatory factors on nucleosome dynamics, Journal of Ambient Intelligence and Humanized Computing, Springer, Vol. 3, Issue 4, 265-280, 2012 [SCIE-Q2, IF: 1,598].
  • Nguyen, T.P., Ho, T.B., Detecting Disease Genes Based on Semi-Supervised Learning and Protein-Protein Interaction Networks, Artificial Intelligence in Medicine, Vol. 54, 63-71, 2011 [SCI-Q1, IF: 3,574]
  • Luong, T.D., Ho, T.B., Privacy Preserving Frequency Mining in 2-Part Fully Distributed Setting, IEICE Trans. Information Systems, 2012 [SCIE-Q3, IF: 0,576]
  • Tran, D.H., Ho, T.B., Pham, T.H., Satou, K., microRNA expression profiles for classification and analysis of tumor samples, IEICE Trans. Information Systems, E94.D(3), 416-422, 2011 [SCIE-Q3, IF: 0,576]
  • Le, N.T., Ho, T.B., Tran, D.H., Characterizing nucleosome dynamics from genomic and epigenetic information using rule induction learning, Genomics, 10(Suppl.3): 2009 [SCI-Q2, IF: 3,160]
  • Tran, D.H., Satou, K., Ho, T.B., Pham, T.H., Discovery of miR-TF Regulatory Modules in Human Genome, Bioinformation, 4(8), 371-377, 2009 [ESCI, IF: 0.44]
  • Zhang, W., Yoshida, T., Tang, X., Ho, T.B., Improving effectiveness of mutual information for substantival multiword expression extraction, Expert Systems with Applications, Elsevier, Vol. 36. No. 8, 10919-10930, 2009 [SCI-Q1, IF 4,292]
  • Zhang, W., Yoshida, T., Ho, T.B., Tang, X., Augmented Mutual Information for Multi-word Extraction, International Journal of Innovative Computing, Information and Control (IJICIC), Vol. 5, No. 2, 543-554, 2009 [SCIE-Q2, IF: 0,980]
  • Nguyen, C.H., Ho, T.B., An Efficient Kernel Matrix Evaluation Measure, Pattern Recognition, Elsevier, 41 (12), 1-7, 2008 [SCI-Q1, IF: 5,898]
  • Tran, D.H., Pham, T.H., Satou, K., Ho, T.B., Prediction of human microRNA hairpin using only positive sample learning, Journal of Biomedical Science and Engineering (JBiSE), Vol. 1, No. 2, 67-72, Scientific Research Publishing, 2008 [ESCI, IF: 0,75]
  • Tran, D.H., Satou, K., Ho, T.B., Finding microRNA regulatory modules in human genome using rule induction, BMC Bioinformatics, 2008 [SCIE-Q1, IF: 2,213]
  • Nguyen, T.P., Ho, T.B., An Integrative Domain-Based Approach to Predicting Protein-Protein Interactions, Journal of Bioinformatics and Computational Biology, Imperial College Press, Vol. 6. No. 6, 1115-1132, 2008 [SCI-Q2, IF: 0,845]
  • Ho, T.B., Kawasaki, S., Takabayashi, K., Nguyen, C.H., 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, 2007 [SCIE-Q3, IF: 0,576]
  • Huynh, V.N., Nakamori, Y., M. Ryoke, Ho, T.B., Decision making under uncertainty with fuzzy targets, Fuzzy Optimization and Decision Making, Kluwer Academic Publishers, Volume 6, Issue 3, 255-278, 2007 [SCI-Q1, IF: 4,116]
  • Ho, T.B., Nguyen, C.H., Kawasaki, S., Le, S.Q., Takabayashi, K., Exploiting Temporal Relations in Mining Hepatitis Data, Journal of New Generation Computing, Ohmsha, Ltd. and Springer-Verlag, Vol. 25. No. 3, 247-262, 2007 [SCIE-Q3, IF: 0,871]
  • Ben Hassine, A., Ho, T.B., 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, 2007 [SCI-Q1, IF: 3,526]
  • Pham, T.H., Ho, T.B., A hyper-heuristic for descriptive rule induction, International Journal of Data Warehousing and Mining, IGI Publishing, Vol. 3, No. 1, 54-66, 2007 [SCIE-Q3, IF: 0,727]
  • Phan, X.H., Nguyen, L.M., Ho, T.B., Horiguchi, S., Improving Discriminative Sequential Learning by Discovering Important Associations of Statistics, ACM Transactions on Asian Language and Information Processing, Vol. 5, No. 4, 413-438, 2007 [SCIE]
  • Huynh, V.N., Nakamori, Y., Ho, T.B., Murai, T., 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, 2006 [SCI-Q1, IF: 5,131]
  • Nguyen, D.D., Ho, T.B., A Bottom-up Method for Simplifying Support Vector Solutions, IEEE Transactions on Neural Networks, Vol.17, No. 3, 792-796, 2006 [SCI-Q1, IF: 11,683]
  • Dam, H.C., Nguyen, T.C., Nguyen, A.T., Kim, Y.T., Ho, T.B., Mitani, T., Ozaki, T., and Nagao, H., Electronic Structures of Ptn Clusters Adsorbed on (5, 5) Single Wall Carbon Nanotube, Chemical Physics Letters, Elsevier, Vol. 432, Issues 1-3, 213-217, 2006 [SCI-Q2, IF: 1,901]
  • Zhang, H., Ho, T.B., Kawasaki, S., Wrapper feature extraction for time series classification using singular value decomposition, International Journal of Knowledge and Systems Science, Vol. 3, No. 1, 53-60, 2006 [SCIE-Q4, IF: 0,124]
  • Zhang, H., Ho, T.B., Zhang, Y., Lin, M.S., Unsupervised Feature Extraction for Time Series Clustering Using Orthogonal Wavelet Transform, Journal Informatica, Vol. 30, No. 3, 305-319, 2006 [SCIE-Q2, IF: 1,58, Citations = 90]
  • Pham, T.H., Clemente, J., Satou, K., Ho, T.B., Computational Discovery of Transcriptional Regulatory Rules, Bioinformatics, Oxford University Press, Vol. 21, Supp. 2, 101-107, 2005 [SCI-Q1, IF: 4,531]
  • Le, S.Q., Ho, T.B., An Association-based Dissimilarity Measure for Categorical Data, Pattern Recognition Letters, 26(6): 2549-2557, 2005 [SCI-Q1, IF: 2,81]
  • Ben Hassine, A., Ho, T.B., Ito, T., Meetings Scheduling Solver Enhancement with Local Consistency Reinforcement, Applied Intelligence, Springer, Vol. 24, No. 2, 143-154, 2005 [SCIE-Q2, IF: 0,988]
  • Zhang, H., Ho, T.B., Lin, M.S., Huang, W., 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, 2005 [ESCI]
  • Phan, X.H., Horiguchi, S., Ho, T.B., Automated data extraction from the web with conditional models, International Journal on Business Intelligence and Data Mining, Vol. 1, No. 2, 194-209, 2005 [ESCI]
  • Le, M.H., Ho, T.B., Y. Nakamori, Detecting Emerging Trends from Scientific Corpora, International Journal of Knowledge and Systems Science, Vol. 2, No. 2, 53-59, 2005 [ESCI, Q3]
  • Pham, T.H., Satou, K., Ho, T.B., Support vector machines for prediction and analysis of beta and gamma turns in proteins, Journal of Bioinformatics and Computational Biology JBCB, World Scientific Publishing, Vol. 3, No. 2, 343-358, 2005 [SCI-Q2, IF: 0.89]
  • Nguyen, L.M., A. Shimazu, S. Horiguchi, Ho, T.B., Example-Based Sentence Reduction Using Hidden Markov Model, ACM Trans. On Asian Language Infor. Processing, Vol. 3, Issue 3, 146-158, 200 [SCIE, IF: 2,312]
  • Huynh, V.N, Nakamori, Y., Ho, T.B., and Resconi, G., A Context Model for Constructing Membership Functions of Fuzzy Concepts Based on Modal Logic, Journal of Information Sciences, Vol. 157, Issue 1-4, Elsevier, 111-129, 2004 [SCI-Q1, IF: 5,524].
  • Ho, T.B., Nguyen, T.D., Shimodaira, H., and Kimura, M., A Knowledge Discovery System with Support for Model Selection and Visualization, Applied Intelligence, Kluwer Academic Publishers, Vol. 19, Issue 1-2, 125-141, 2003 [SCIE-Q2, IF: 0,988]
  • Kawasaki, S., Nguyen, T.D., and Ho, T.B., Temporal Abstraction for Long-Term Changed Tests in the Hepatitis Domain, Journal of Advanced Computational Intelligence & Intelligent Informatics, Vol. 17, No. 3, Fuji Technology Press, 348-354, 2003 [SCIE-Q3, IF: 0,76]
  • Ho T.B. and Nguyen D.D., Learning Minority Classes and Chance Discovery, Journal New Generation Computing, Ohmsha, Ltd. and Springer-Verlag, Vol. 21, No. 2, 149-161, 2003 [SCIE-Q3, IF: 0,871]
  • Huynh, V.N., Ho T.B., and Nakamori, Y., A Parametric Representation of Linguistic Hedges in Zadeh’s Fuzzy Logic, Inter. J. of Approximate Reasoning, Elsevier, Vol. 30, No. 3, 203-223, 2003 [SCI-Q2, IF: 1,982]
  • Ho, T.B., and Nguyen, N.B., Document Clustering by Tolerance Rough Set Model, Inter. Journal of Intelligent Systems, John Wiley & Sons, Vol. 17, No. 2, 199-212, 2002 [SCI-Q1, IF: 7,229]
  • Ho, T.B., Kawasaki, S., and Nguyen, N.B., Cluster-based Information Retrieval with a Tolerance Rough Set Model, International Journal of Fuzzy Logic and Intelligent Systems, Vol. 2, No. 1, 26-32, 2002 [SCIE-Q3, 0,244]
  • Ho, T.B., Nguyen, T.D., Nguyen, D.D., and Kawasaki, S., Visualization Support for User-Centered Model Selection in Knowledge Discovery and Data Mining, International Journal of Artificial Intelligence Tools, Vol. 10, No. 4, 691-713, 2001 [SCIE-Q3, IF: 0,778]
  • Ho, T.B., Discovering and Using Knowledge from Unsupervised Data, Journal Decision Support Systems, Elsevier, Vol. 21, No. 1, 27-41, 1997 [SCIE-Q1, IF: 3,847]
  • Ho, T.B., An Approach to Concept Formation Based on Formal Concept Analysis, Journal IEICE Trans. Information and Systems, Vol. E78-D, No. 5, 553-559, 1995 [SCIE-Q3, IF: 0,576]
  • Ho, T.B., Pham, N.K., Doan, N.L., Do, V.N., A Generator of Expert Systems Based on Object-Rule Knowledge Representation, International Journal of Computer Applications in Technology, Vol.2, N.4., INCCA, 241-246, 1989 [SCIE-Q3, IF: 0,756]
  •  Ho, T.B., On an Inference Engine for Expert Systems, Tanulmanuyk, Budapest, N.194, 19-34, 1986 (Cambridge Scientific Abstracts, Vol.36 (1988), N.2).
  • Ho, T.B., On the Design and Implementation of an Expert System Using the Inference Engine COTO, Journal Computers and Artificial Intelligence, Vol.6, N.4, 297-310, 1987.
  • Ho, T.B., Diday, E., Gettler-Summa, M., Generating rules for expert systems from observations, Journal Pattern Recognition Letters, Vol. 7, N.5, 265-271, 1988 [SCI-Q1, IF: 2,81].
  • Motoda, H., Ho, T.B., Washio, T., Yada, K., Yoshida, T., Ohara, K, Active Mining for Structured Data, Journal of Japanese Society for Artificial Intelligence, Vol. 19, No. 2, 172-179, 2005.
  • Nguyen, D.T. and Ho, T.B., An Interactive-Graphic System for Decision Tree Induction, Journal of Japanese Society for Artificial Intelligence, Vol. 14, N.1, 131-138, 1999.
  • Ho, T.B., Funakoshi, K., Information Retrieval Using Rough Sets, Journal of Japanese Society for Arti. Intel.,Vol. 13, N. 3, 424-433, 1998.
  • Luong, T.D., Ho, T.B., Enhancing Privacy in Distributed Data Clustering, Journal of Computer Science and Cybernetics, Vol. 26, No. 2, 1-15, 2010.
  • Luong, T.D., Ho, T.B., Tran, D.H., Enhancing privacy for frequent itemset mining in vertically distributed data, Journal of Information Technologies and Communications, Vol. E-2, No.5(9), 25-38, 2012.
  • Nguyen, Q.D., Pham, T.H., Ho, T.B., Multivarite mutual information measures, Journal of Computer Science and Cybernetics, Vol. 30, No. 2, 117-126, 2015.
  • Ho, T.B., 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, 2008.
  • Ho, T.B., Pham, N.K., Ha, T.L., Nguyen, P.T., 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, 2008.
  • Ho, T.B., An Overview of Artificial Intelligence and Expert Systems (in Vietnamese), Journal of Computer Science and Control, Vol.5, N.1, 5-10, 1989.
  • Ho, T.B., Pham, N.K., Doan, N.L., Do, V.N., OREST−a Hybrid Expert System Building Tool Based on Object-Rule Knowledge Representation (in Vietnamese), Journal of Computer Science and Control, Vol.5, N.1, 16-20, 1989.
  • Ho, T.B., Pham N.K., Bach H.K., Hoang T.M., Ngo C.S., Nguyen T.D., Tong T.H., Hoang Q.T., Development and Applications of the TESOR Expert System Generator, Proceedings of NCSR of Vietnam, Vol.2, N.2, 3-14, 1992.
  • Ho, T.B., Dao N.A., Coupling of Knowledge and Data in System TESOR, Journal of Computer Science and Control, Vol.8, N.2, 21-31, 1992.
  • Tong, T.H., Ho, T.B., A New Generalization Algorithm (in Vietnamese), Journal of Computer Science and Control, Vol.6, N.3, 19-26, 1990.
  • Và khoảng 200 bài báo có phản biện trong tuyển tập các hội nghị quốc tế, trong đó khoảng 19% là các hội nghị loại A* và A.

Sách, giáo trình, sách chuyên khảo

  • Cao. T., Lim, E.P., Zhou, Z.H., Ho, T.B., Motoda, H., Cheung, D. (2015). Advances in Knowledge Discovery and Data Mining (Eds.), Lecture Notes in Artificial Intelligence LNAI 9077, LNAI 9078, Springer, ISBN 978-3-319-18037-3, citations = 212 (https://link.springer.com/book/10.1007/978-3-319-18038-0).
  • 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.), Lecture Notes in Artificial Intelligence LNAI 8443, LNAI 8444, Springer, ISBN 978-3-319-06607-3, citations = 281 (https://link.springer.com/book/10.1007/978-3-319-06608-0#editorsandaffiliations).
  • Hồ Tú Bảo, Nguyễn Huy Dũng, Nguyễn Nhật Quang (2020). Hỏi đáp về Chuyển đổi số, NXB Công nghệ Thông tin và Truyền thông.
  • Hồ Tú Bảo, Nguyễn Nhật Quang (2022). Chuyển đổi số thế nào, NXB Công nghệ Thông tin và Truyền thông.

Đề tài, dự án

  • Chủ nhiệm 23 đề tài nghiên cứu trong đó 9 đề tài cấp nhà nước (ở Nhật và Việt Nam).