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Tu Bao Ho
2010 – today
- 2013
[j36]Thi Nhan Le, Tu Bao Ho, Saori Kawasaki, Tatsuo Kanda, Katsuhiko Takabayashi, Shuang Wu, Osamu Yokosuka: A Semi-Supervised Ensemble Learning Method for Finding Discriminative Motifs and its Application. J. UCS 19(4): 563-580 (2013)- [c75]Bui Thang Ngoc, Tu Bao Ho, Saori Kawasaki: A Descriptive Method for Generating siRNA Design Rules. ACIIDS (2) 2013: 196-205
- 2012
- [j35]Bich Hai Ho, Ngoc Tu Le, Tu Bao Ho: Quantitatively assessing the effects of regulatory factors on nucleosome dynamics by multiple kernel learning. J. Ambient Intelligence and Humanized Computing 3(4): 315-323 (2012)
- [j34]Khoat Than, Tu Bao Ho, Duy Khuong Nguyen, Pham Ngoc Khanh: Supervised dimension reduction with topic models. Journal of Machine Learning Research - Proceedings Track 25: 395-410 (2012)
- [c74]Thi Nhan Le, Tu Bao Ho: A Semi-Supervised Method for Discriminative Motif Finding and Its Application to Hepatitis C Virus Study. ACIIDS (1) 2012: 377-384
- [c73]Bich Hai Ho, Ngoc Tu Le, Tu Bao Ho: Bayesian Network Analysis of Relationships between Nucleosome Dynamics and Transcriptional Regulatory Factors. BIOINFORMATICS 2012: 299-302
- [c72]
- [c71]Tho Hoan Pham, Tu Bao Ho, Quynh Diep Nguyen, Dang Hung Tran, Van Hoang Nguyen: Multivariate Mutual Information Measures for Discovering Biological Networks. RIVF 2012: 1-6
- [i1]Khoat Than, Tu Bao Ho: Managing sparsity, time, and quality of inference in topic models. CoRR abs/1210.7053 (2012)
- 2011
- [j33]Dang Hung Tran, Tu Bao Ho, Tho Hoan Pham, Kenji Satou: MicroRNA Expression Profiles for Classification and Analysis of Tumor Samples. IEICE Transactions 94-D(3): 416-422 (2011)
- [c70]Ngoc Tu Le, Tu Bao Ho: Reconstruction of Histone Modification Network from Next-generation Sequencing Data. BIBE 2011: 181-188
- [c69]Hieu-Chi Dam, Tu Bao Ho, Ayumu Sugiyama: Simulation-Based Data Mining Solution to the Structure of Water Surrounding Proteins. IJCAI 2011: 2424-2429
- [c68]The Dung Luong, Tu Bao Ho: A Distributed Solution for Privacy Preserving Outlier Detection. KSE 2011: 26-31
- 2010
- [j32]
- [j31]The Dung Luong, Tu Bao Ho: Privacy Preserving Frequency Mining in 2-Part Fully Distributed Setting. IEICE Transactions 93-D(10): 2702-2708 (2010)
- [c67]
- [c66]Saori Kawasaki, Tu Bao Ho, Tatsuo Kanda, Osamu Yokosuka, Katsuhiro Takabayashi, Nhan Le: Discovering Relationship between Hepatitis C Virus NS5A Protein and Interferon/Ribavirin Therapy. KICSS 2010: 79-90
- [c65]Bich Hai Ho, Ngoc Tu Le, Tu Bao Ho: Quantitatively Assessing the Effects of Regulatory Factors on Nucleosome Dynamics by Multiple Kernel Learning. RIVF 2010: 1-6
2000 – 2009
- 2009
- [j30]Wen Zhang, Taketoshi Yoshida, Xijin Tang, Tu Bao Ho: Improving effectiveness of mutual information for substantival multiword expression extraction. Expert Syst. Appl. 36(8): 10919-10930 (2009)
- [j29]
- [c64]Bay Vo, Huy Nguyen, Tu Bao Ho, Bac Le: Parallel Method for Mining High Utility Itemsets from Vertically Partitioned Distributed Databases. KES (1) 2009: 251-260
- [c63]
- [e3]Thanaruk Theeramunkong, Boonserm Kijsirikul, Nick Cercone, Tu Bao Ho (Eds.): Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings. Lecture Notes in Computer Science 5476, Springer 2009, ISBN 978-3-642-01306-5
- 2008
- [j28]Dang Hung Tran, Kenji Satou, Tu Bao Ho: Finding microRNA regulatory modules in human genome using rule induction. BMC Bioinformatics 9(S-12) (2008)
- [j27]Thanh Phuong Nguyen, Tu Bao Ho: An Integrative Domain-Based Approach to Predicting protein-protein Interactions. J. Bioinformatics and Computational Biology 6(6): 1115-1132 (2008)
- [j26]Canh Hao Nguyen, Tu Bao Ho: An efficient kernel matrix evaluation measure. Pattern Recognition 41(11): 3366-3372 (2008)
- [c62]Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki: Simple but effective methods for combining kernels in computational biology. RIVF 2008: 71-78
- [p3]Canh Hao Nguyen, Tu Bao Ho, Vladik Kreinovich: Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity. Interval / Probabilistic Uncertainty and Non-Classical Logics 2008: 57-69
- [p2]Van-Nam Huynh, Tu Bao Ho, Yoshiteru Nakamori: An Overview on the Approximation Quality Based on Rough-Fuzzy Hybrids. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 493-515
- [e2]Tu Bao Ho, Zhi-Hua Zhou (Eds.): PRICAI 2008: Trends in Artificial Intelligence, 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008. Proceedings. Lecture Notes in Computer Science 5351, Springer 2008, ISBN 978-3-540-89196-3
- 2007
- [j25]Ahlem Ben Hassine, Tu Bao Ho: An agent-based approach to solve dynamic meeting scheduling problems with preferences. Eng. Appl. of AI 20(6): 857-873 (2007)
- [j24]Van-Nam Huynh, Yoshiteru Nakamori, Mina Ryoke, Tu Bao Ho: Decision making under uncertainty with fuzzy targets. FO & DM 6(3): 255-278 (2007)
- [j23]Tu Bao Ho, Saori Kawasaki, Katsuhiko Takabayashi, Canh Hao Nguyen: Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining. IEICE Transactions 90-D(10): 1574-1581 (2007)
- [j22]Tho Hoan Pham, Tu Bao Ho: A Hyper-Heuristic for Descriptive Rule Induction. IJDWM 3(1): 54-66 (2007)
- [j21]
- [j20]Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Si Quang Le, Katsuhiko Takabayashi: Exploiting Temporal Relations in Mining Hepatitis Data. New Generation Comput. 25(3): 247-262 (2007)
- [c61]Tho Hoan Pham, Tu Bao Ho, Dang Hung Tran, Kenji Satou: Prediction of Histone Modifications in DNA sequences. BIBE 2007: 959-966
- [c60]Thanh Phuong Nguyen, Tu Bao Ho: A Semi-supervised Learning Approach to Disease Gene Prediction. BIBM 2007: 423-428
- [c59]
- [c58]Katsuhiko Takabayashi, Tu Bao Ho, Hideto Yokoi, Trong Dung Nguyen, Saori Kawasaki, Si Quang Le, Takahiro Suzuki, Osamu Yokosuka: Temporal Abstraction and Data Mining with Visualization of Laboratory Data. MedInfo 2007: 1304-1308
- [c57]Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Katsuhiko Takabayashi: Temporal Relations Extraction in Mining Hepatitis Data. PAKDD 2007: 523-530
- [p1]Tu Bao Ho, Saori Kawasaki, Janusz Granat: Knowledge Acquisition by Machine Learning and Data Mining. Creative Environments 2007: 69-91
- 2006
- [j19]Ahlem Ben Hassine, Tu Bao Ho, Takayuki Ito: Meetings scheduling solver enhancement with local consistency reinforcement. Appl. Intell. 24(2): 143-154 (2006)
- [j18]Hui Zhang, Tu Bao Ho, Yang Zhang, Mao Song Lin: Unsupervised Feature Extraction for Time Series Clustering Using Orthogonal Wavelet Transform. Informatica (Slovenia) 30(3): 305-319 (2006)
- [j17]Hui Zhang, Tu Bao Ho, Mao Song Lin, Wei Huang: Combining the Global and Partial Information for Distance-Based Time Series Classification and Clustering. JACIII 10(1): 69-76 (2006)
- [j16]Xuan Hieu Phan, Minh Le Nguyen, Yasushi Inoguchi, Tu Bao Ho, Susumu Horiguchi: Improving discriminative sequential learning by discovering important association of statistics. ACM Trans. Asian Lang. Inf. Process. 5(4): 413-438 (2006)
- [j15]DucDung Nguyen, Tu Bao Ho: A bottom-up method for simplifying support vector solutions. IEEE Transactions on Neural Networks 17(3): 792-796 (2006)
- [j14]Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho, Tetsuya Murai: Multiple-attribute decision making under uncertainty: the evidential reasoning approach revisited. IEEE Transactions on Systems, Man, and Cybernetics, Part A 36(4): 804-822 (2006)
- [c56]DucDung Nguyen, Tu Bao Ho, Saori Kawasaki: Knowledge visualization in hepatitis study. APVIS 2006: 59-62
- [c55]Thanh Phuong Nguyen, Tu Bao Ho: Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases. Discovery Science 2006: 185-196
- [c54]Dang Hung Tran, Tho Hoan Pham, Kenji Satou, Tu Bao Ho: Conditional Random Fields for Predicting and Analyzing Histone Occupancy, Acetylation and Methylation Areas in DNA Sequences. EvoWorkshops 2006: 221-230
- [c53]Hui Zhang, Tu Bao Ho, Mao Song Lin, Xuefeng Liang: Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients. ISNN (1) 2006: 1394-1399
- [c52]Minh-Hoang Le, Tu Bao Ho, Yoshiteru Nakamori: Detecting Citation Types Using Finite-State Machines. PAKDD 2006: 265-274
- [c51]Si Quang Le, Tu Bao Ho, Le Sy Vinh: Association-Based Dissimilarity Measures for Categorical Data: Limitation and Improvement. PAKDD 2006: 493-498
- [c50]Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho: Utility Function Induced by Fuzzy Target in Probabilistic Decision Making. RSCTC 2006: 296-305
- 2005
- [j13]Xuan Hieu Phan, Susumu Horiguchi, Tu Bao Ho: Automated data extraction from the web with conditional models. IJBIDM 1(2): 194-209 (2005)
- [j12]Tho Hoan Pham, Kenji Satou, Tu Bao Ho: Support Vector Machines for Prediction and Analysis of Beta and Gamma-turns in Proteins. J. Bioinformatics and Computational Biology 3(2): 343-358 (2005)
- [j11]Si Quang Le, Tu Bao Ho: An association-based dissimilarity measure for categorical data. Pattern Recognition Letters 26(16): 2549-2557 (2005)
- [c49]Tho Hoan Pham, José Carlos Clemente, Kenji Satou, Tu Bao Ho: Computational discovery of transcriptional regulatory rules. ECCB/JBI 2005: 107
- [c48]Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi, Tu Bao Ho, Yasushi Inoguchi: Classification with Maximum Entropy Modeling of Predictive Association Rules. ECML 2005: 682-689
- [c47]DucDung Nguyen, Tu Bao Ho: Speeding-up Model Selection for Support Vector Machines. FLAIRS Conference 2005: 436-441
- [c46]DucDung Nguyen, Tu Bao Ho: An efficient method for simplifying support vector machines. ICML 2005: 617-624
- [c45]Hui Zhang, Tu Bao Ho, Wei Huang: Blind Feature Extraction for Time-Series Classification Using Haar Wavelet Transform. ISNN (2) 2005: 605-610
- [c44]Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu Horiguchi: Improving discriminative sequential learning with rare--but--important associations. KDD 2005: 304-313
- [c43]Nguyen The Loc, Said Elnaffar, Takuya Katayama, Tu Bao Ho: A Scheduling Method for Divisible Workload Problem in Grid Environments. PDCAT 2005: 513-517
- [c42]Tuan Nam Tran, Kenji Satou, Tu Bao Ho: Using Inductive Logic Programming for Predicting Protein-Protein Interactions from Multiple Genomic Data. PKDD 2005: 321-330
- [c41]
- [c40]Van-Nam Huynh, Tetsuya Murai, Tu Bao Ho, Yoshiteru Nakamori: An Extension of Rough Approximation Quality to Fuzzy Classification. RSFDGrC (1) 2005: 373-382
- [c39]Hui Zhang, Tu Bao Ho: Finding The Clustering Consensus of Time Series with Multi-Scale Transform. WSTST 2005: 1081-1090
- [e1]Tu Bao Ho, David Wai-Lok Cheung, Huan Liu (Eds.): Advances in Knowledge Discovery and Data Mining, 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings. Lecture Notes in Computer Science 3518, Springer 2005, ISBN 3-540-26076-5
- 2004
- [j10]Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho, Germano Resconi: A context model for fuzzy concept analysis based upon modal logic. Inf. Sci. 160(1-4): 111-129 (2004)
- [j9]Minh Le Nguyen, Susumu Horiguchi, Akira Shimazu, Tu Bao Ho: Example-based sentence reduction using the hidden markov model. ACM Trans. Asian Lang. Inf. Process. 3(2): 146-158 (2004)
- [c38]Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho: Assessment Aggregation in the Evidential Reasoning Approach to MADM Under Uncertainty: Orthogonal Versus Weighted Sum. ASIAN 2004: 109-127
- [c37]Ahlem Ben Hassine, Xavier Défago, Tu Bao Ho: Agent-Based Approach to Dynamic Meeting Scheduling Problems. AAMAS 2004: 1132-1139
- [c36]Minh Le Nguyen, Akira Shimazu, Susumu Horiguchi, Tu Bao Ho, Masaru Fukushi: Probabilistic Sentence Reduction Using Support Vector Machines. COLING 2004
- [c35]Si Quang Le, Tu Bao Ho: Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach. Discovery Science 2004: 129-141
- [c34]Van-Nam Huynh, Yoshiteru Nakamori, Tetsuya Murai, Tu Bao Ho: A New Approach to Belief Modeling. FoIKS 2004: 196-230
- [c33]Ahlem Ben Hassine, Takayuki Ito, Tu Bao Ho: Scheduling Meetings with Distributed Local Consistency Reinforcement. IEA/AIE 2004: 679-688
- [c32]Ahlem Ben Hassine, Khaled Ghédira, Tu Bao Ho: New Distributed Filtering-Consistency Approach to General Networks. IEA/AIE 2004: 708-717
- [c31]Si Quang Le, Tu Bao Ho: A Conditional Probability Distribution-Based Dissimilarity Measure for Categorial Data. PAKDD 2004: 580-589
- [c30]Hui Zhang, Tu Bao Ho, Mao Song Lin: A Non-parametric Wavelet Feature Extractor for Time Series Classification. PAKDD 2004: 595-603
- [c29]Xuan Hieu Phan, Susumu Horiguchi, Tu Bao Ho: PEWeb: Product Extraction from the Web Based on Entropy Estimation. Web Intelligence 2004: 590-593
- 2003
- [j8]Tu Bao Ho, Trong Dung Nguyen, Hiroshi Shimodaira, Masayuki Kimura: A Knowledge Discovery System with Support for Model Selection and Visualization. Appl. Intell. 19(1-2): 125-141 (2003)
- [j7]Saori Kawasaki, Trong Dung Nguyen, Tu Bao Ho: Temporal Abstraction for Long-Term Test Changes in the Hepatitis Domain. JACIII 7(3): 348-354 (2003)
- [j6]Tu Bao Ho, DucDung Nguyen: Chance Discovery and Learning Minority Classes. New Generation Comput. 21(2): 149-161 (2003)
- [c28]Trong Dung Nguyen, Saori Kawasaki, Tu Bao Ho: Discovery of Trends and States in Irregular Medical Temporal Data. Discovery Science 2003: 410-417
- [c27]Ahlem Ben Hassine, Takayuki Ito, Tu Bao Ho: A New Distributed Approach to Solve Meeting Scheduling Problems. IAT 2003: 588-591
- [c26]Phu Chien Nguyen, Masato Akagi, Tu Bao Ho: Temporal decomposition: a promising approach to VQ-based speaker identification. ICME 2003: 617-620
- [c25]Van-Nam Huynh, Mina Ryoke, Yoshiteru Nakamori, Tu Bao Ho: Fuzziness and Uncertainty within the Framework of Context Model. IFSA 2003: 219-228
- [c24]Tu Bao Ho, Trong Dung Nguyen, Saori Kawasaki, Si Quang Le, DucDung Nguyen, Hideto Yokoi, Katsuhiko Takabayashi: Mining hepatitis data with temporal abstraction. KDD 2003: 369-377
- [c23]Saori Kawasaki, Tu Bao Ho, Trong Dung Nguyen: Abstraction of Long-Term Changed Tests in Mining Hepatitis Data. KES 2003: 366-372
- 2002
- [j5]Van-Nam Huynh, Tu Bao Ho, Yoshiteru Nakamori: A parametric representation of linguistic hedges in Zadeh's fuzzy logic. Int. J. Approx. Reasoning 30(3): 203-223 (2002)
- [j4]Tu Bao Ho, Ngoc Binh Nguyen: Nonhierarchical document clustering based on a tolerance rough set model. Int. J. Intell. Syst. 17(2): 199-212 (2002)
- [c22]Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho, Germano Resconi: A Context Model for Constructing Membership Functions of Fuzzy Concepts Based on Modal Logic. FoIKS 2002: 93-104
- [c21]Tu Bao Ho, Trong Dung Nguyen, DucDung Nguyen: A User-Centered Visual Approach to Data Mining: The System D2MS. Intelligent Information Processing 2002: 213-224
- [c20]Tu Bao Ho, Trong Dung Nguyen, DucDung Nguyen: Visualization support for a user-centered KDD process. KDD 2002: 519-524
- [c19]Yoshikazu Fujikawa, Tu Bao Ho: Cluster-Based Algorithms for Dealing with Missing Values. PAKDD 2002: 549-554
- [c18]Trong Dung Nguyen, Tu Bao Ho, DucDung Nguyen: Data and Knowledge Visualization in Knowledge Discovery Process. VISUAL 2002: 311-322
- 2001
- [j3]Tu Bao Ho, Trong Dung Nguyen, DucDung Nguyen, Saori Kawasaki: Visualization Support for User-Centered Model Selection in Knowledge Discovery and Data Mining. International Journal on Artificial Intelligence Tools 10(4): 691-713 (2001)
- [c17]Tu Bao Ho, Trong Dung Nguyen: Visualization Support for User-Centered Model Selection in Knowledge Discovery in Databases. ICTAI 2001: 228-235
- [c16]Tu Bao Ho, DucDung Nguyen, Saori Kawasaki: Mining Prediction Rules from Minority Classes. INAP 2001: 254-265
- [c15]Tu Bao Ho, Saori Kawasaki, DucDung Nguyen: Extracting Meningitis Knowledge by Integration of Rule Induction and Association Mining. JSAI Workshops 2001: 508-515
- [c14]Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira: A Scalable Algorithm for Rule Post-pruning of Large Decision Trees. PAKDD 2001: 467-476
- 2000
- [c13]Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira: A visualization tool for interactive learning of large decision trees. ICTAI 2000: 28-35
- [c12]Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira: Interactive Visualization in Mining Large Decision Trees. PAKDD 2000: 345-348
- [c11]Ngoc Binh Nguyen, Tu Bao Ho: A Mixed Similarity Measure in Near-Linear Computational Complexity for Distance-Based Methods. PKDD 2000: 211-220
- [c10]Saori Kawasaki, Ngoc Binh Nguyen, Tu Bao Ho: Hierarchical Document Clustering Based on Tolerance Rough Set Model. PKDD 2000: 458-463
1990 – 1999
- 1999
- [c9]Tu Bao Ho: Two approaches to the Representation and Interpretation of Concept Lattices. EJC 1999: 12-25
- [c8]Tu Bao Ho, Ngoc Binh Nguyen, Takafumi Morita: Study of a Mixed Similarity Measure for Classification and Clustering. PAKDD 1999: 375-379
- 1998
- [c7]Tu Bao Ho, Trong Dung Nguyen, Ngoc Binh Nguyen, Takuyu Ito: Development of Some Methods and Tools for Discovering Conceptual Knowledge. Discovery Science 1998: 415-416
- [c6]Tu Bao Ho, Trong Dung Nguyen: Interactive Visualization for Predictive Modelling with Decision Tree Induction. PKDD 1998: 158-166
- 1997
- [j2]Tu Bao Ho: Discovering and using knowledge from unsupervised data. Decision Support Systems 21(1): 29-42 (1997)
- [c5]Tu Bao Ho, Chi Mai Luong: Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results. IJCAI (1) 1997: 258-267
- 1996
- [c4]Tu Bao Ho: Automation in knowledge engineering via inductive learning. IFIP World Conference on IT Tools 1996
- [c3]
- 1995
- [j1]Tu Bao Ho: An Approach to Concept Formation Based on Formal Concept Analysis. IEICE Transactions 78-D(5): 553-559 (1995)
- 1994
- [c2]
1980 – 1989
- 1989
- [c1]Tu Bao Ho, Doan Ngoc Lien: Expert Systems in Higher Education - Advanced Techniques in the System OREST. Artificial Intelligence in Higher Education 1989: 14-25
Coauthor Index
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last updated on 2013-06-11 10:02 CEST by the dblp team