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Tu Bao Ho Vis

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*2009
90EEThanaruk Theeramunkong, Boonserm Kijsirikul, Nick Cercone, Tu Bao Ho: Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings Springer 2009
89EEBay 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
2008
88 Tu Bao Ho, Zhi-Hua Zhou: PRICAI 2008: Trends in Artificial Intelligence, 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008. Proceedings Springer 2008
87EEHiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki: Simple but effective methods for combining kernels in computational biology. RIVF 2008: 71-78
86EEVan-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
85EECanh 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
84EEDang Hung Tran, Kenji Satou, Tu Bao Ho: Finding microRNA regulatory modules in human genome using rule induction. BMC Bioinformatics 9(S-12): (2008)
83EECanh Hao Nguyen, Tu Bao Ho: An efficient kernel matrix evaluation measure. Pattern Recognition 41(11): 3366-3372 (2008)
2007
82EETho Hoan Pham, Tu Bao Ho, Dang Hung Tran, Kenji Satou: Prediction of Histone Modifications in DNA sequences. BIBE 2007: 959-966
81EEThanh Phuong Nguyen, Tu Bao Ho: A Semi-supervised Learning Approach to Disease Gene Prediction. BIBM 2007: 423-428
80EECanh Hao Nguyen, Tu Bao Ho: Kernel Matrix Evaluation. IJCAI 2007: 987-992
79EEKatsuhiko 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
78EETu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Katsuhiko Takabayashi: Temporal Relations Extraction in Mining Hepatitis Data. PAKDD 2007: 523-530
77EETu Bao Ho, Saori Kawasaki, Janusz Granat: Knowledge Acquisition by Machine Learning and Data Mining. Creative Environments 2007: 69-91
76EETu 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)
75EETho Hoan Pham, Tu Bao Ho: A Hyper-Heuristic for Descriptive Rule Induction. IJDWM 3(1): 54-66 (2007)
74EEMasayuki Numao, Tu Bao Ho: Active Mining. New Generation Comput. 25(3): 201-202 (2007)
73EETu 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)
2006
72EEDucDung Nguyen, Tu Bao Ho, Saori Kawasaki: Knowledge visualization in hepatitis study. APVIS 2006: 59-62
71EEThanh Phuong Nguyen, Tu Bao Ho: Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases. Discovery Science 2006: 185-196
70EEDang 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
69EEHui Zhang, Tu Bao Ho, Mao Song Lin, Xuefeng Liang: Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients. ISNN (1) 2006: 1394-1399
68EEMinh-Hoang Le, Tu Bao Ho, Yoshiteru Nakamori: Detecting Citation Types Using Finite-State Machines. PAKDD 2006: 265-274
67EESi Quang Le, Tu Bao Ho, Le Sy Vinh: Association-Based Dissimilarity Measures for Categorical Data: Limitation and Improvement. PAKDD 2006: 493-498
66EEVan-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho: Utility Function Induced by Fuzzy Target in Probabilistic Decision Making. RSCTC 2006: 296-305
65EEXuan 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)
64EEAhlem Ben Hassine, Tu Bao Ho, Takayuki Ito: Meetings scheduling solver enhancement with local consistency reinforcement. Appl. Intell. 24(2): 143-154 (2006)
63EEDucDung Nguyen, Tu Bao Ho: A bottom-up method for simplifying support vector solutions. IEEE Transactions on Neural Networks 17(3): 792-796 (2006)
62EEVan-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)
61EEHui 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)
60EEHui 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)
2005
59 Tu Bao Ho, David Wai-Lok Cheung, Huan Liu: Advances in Knowledge Discovery and Data Mining, 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings Springer 2005
58EETho Hoan Pham, José Carlos Clemente, Kenji Satou, Tu Bao Ho: Computational discovery of transcriptional regulatory rules. ECCB/JBI 2005: 107
57EEXuan 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
56 DucDung Nguyen, Tu Bao Ho: Speeding-up Model Selection for Support Vector Machines. FLAIRS Conference 2005: 436-441
55EEDucDung Nguyen, Tu Bao Ho: An efficient method for simplifying support vector machines. ICML 2005: 617-624
54EEHui Zhang, Tu Bao Ho, Wei Huang: Blind Feature Extraction for Time-Series Classification Using Haar Wavelet Transform. ISNN (2) 2005: 605-610
53EEXuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu Horiguchi: Improving discriminative sequential learning with rare--but--important associations. KDD 2005: 304-313
52EENguyen The Loc, Said Elnaffar, Takuya Katayama, Tu Bao Ho: A Scheduling Method for Divisible Workload Problem in Grid Environments. PDCAT 2005: 513-517
51EETuan Nam Tran, Kenji Satou, Tu Bao Ho: Using Inductive Logic Programming for Predicting Protein-Protein Interactions from Multiple Genomic Data. PKDD 2005: 321-330
50EECanh Hao Nguyen, Tu Bao Ho: An Imbalanced Data Rule Learner. PKDD 2005: 617-624
49EEVan-Nam Huynh, Tetsuya Murai, Tu Bao Ho, Yoshiteru Nakamori: An Extension of Rough Approximation Quality to Fuzzy Classification. RSFDGrC (1) 2005: 373-382
48EEHui Zhang, Tu Bao Ho: Finding The Clustering Consensus of Time Series with Multi-Scale Transform. WSTST 2005: 1081-1090
47EEXuan Hieu Phan, Susumu Horiguchi, Tu Bao Ho: Automated data extraction from the web with conditional models. IJBIDM 1(2): 194-209 (2005)
46EETho 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)
45EESi Quang Le, Tu Bao Ho: An association-based dissimilarity measure for categorical data. Pattern Recognition Letters 26(16): 2549-2557 (2005)
2004
44EEAhlem Ben Hassine, Xavier Défago, Tu Bao Ho: Agent-Based Approach to Dynamic Meeting Scheduling Problems. AAMAS 2004: 1132-1139
43EEVan-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
42EESi Quang Le, Tu Bao Ho: Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach. Discovery Science 2004: 129-141
41EEVan-Nam Huynh, Yoshiteru Nakamori, Tetsuya Murai, Tu Bao Ho: A New Approach to Belief Modeling. FoIKS 2004: 196-230
40EEAhlem Ben Hassine, Takayuki Ito, Tu Bao Ho: Scheduling Meetings with Distributed Local Consistency Reinforcement. IEA/AIE 2004: 679-688
39EEAhlem Ben Hassine, Khaled Ghédira, Tu Bao Ho: New Distributed Filtering-Consistency Approach to General Networks. IEA/AIE 2004: 708-717
38EESi Quang Le, Tu Bao Ho: A Conditional Probability Distribution-Based Dissimilarity Measure for Categorial Data. PAKDD 2004: 580-589
37EEHui Zhang, Tu Bao Ho, Mao Song Lin: A Non-parametric Wavelet Feature Extractor for Time Series Classification. PAKDD 2004: 595-603
36EEXuan Hieu Phan, Susumu Horiguchi, Tu Bao Ho: PEWeb: Product Extraction from the Web Based on Entropy Estimation. Web Intelligence 2004: 590-593
35EEMinh 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)
34EEVan-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)
2003
33EETrong Dung Nguyen, Saori Kawasaki, Tu Bao Ho: Discovery of Trends and States in Irregular Medical Temporal Data. Discovery Science 2003: 410-417
32EEAhlem Ben Hassine, Takayuki Ito, Tu Bao Ho: A New Distributed Approach to Solve Meeting Scheduling Problems. IAT 2003: 588-591
31EEVan-Nam Huynh, Mina Ryoke, Yoshiteru Nakamori, Tu Bao Ho: Fuzziness and Uncertainty within the Framework of Context Model. IFSA 2003: 219-228
30EETu 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
29EESaori Kawasaki, Tu Bao Ho, Trong Dung Nguyen: Abstraction of Long-Term Changed Tests in Mining Hepatitis Data. KES 2003: 366-372
28 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)
27EESaori Kawasaki, Trong Dung Nguyen, Tu Bao Ho: Temporal Abstraction for Long-Term Test Changes in the Hepatitis Domain. JACIII 7(3): 348-354 (2003)
26EETu Bao Ho, DucDung Nguyen: Chance Discovery and Learning Minority Classes. New Generation Comput. 21(2): (2003)
2002
25EEVan-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
24 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
23EETu Bao Ho, Trong Dung Nguyen, DucDung Nguyen: Visualization support for a user-centered KDD process. KDD 2002: 519-524
22EEYoshikazu Fujikawa, Tu Bao Ho: Cluster-Based Algorithms for Dealing with Missing Values. PAKDD 2002: 549-554
21EETrong Dung Nguyen, Tu Bao Ho, DucDung Nguyen: Data and Knowledge Visualization in Knowledge Discovery Process. VISUAL 2002: 311-322
20EEVan-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)
19 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)
2001
18EETu Bao Ho, Trong Dung Nguyen: Visualization Support for User-Centered Model Selection in Knowledge Discovery in Databases. ICTAI 2001: 228-235
17EETu Bao Ho, DucDung Nguyen, Saori Kawasaki: Mining Prediction Rules from Minority Classes. INAP 2001: 254-265
16EETu Bao Ho, Saori Kawasaki, DucDung Nguyen: Extracting Meningitis Knowledge by Integration of Rule Induction and Association Mining. JSAI Workshops 2001: 508-515
15EETrong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira: A Scalable Algorithm for Rule Post-pruning of Large Decision Trees. PAKDD 2001: 467-476
14 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)
2000
13EETrong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira: A visualization tool for interactive learning of large decision trees. ICTAI 2000: 28-35
12 Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira: Interactive Visualization in Mining Large Decision Trees. PAKDD 2000: 345-348
11EENgoc Binh Nguyen, Tu Bao Ho: A Mixed Similarity Measure in Near-Linear Computational Complexity for Distance-Based Methods. PKDD 2000: 211-220
10EESaori Kawasaki, Ngoc Binh Nguyen, Tu Bao Ho: Hierarchical Document Clustering Based on Tolerance Rough Set Model. PKDD 2000: 458-463
1999
9 Tu Bao Ho: Two approaches to the Representation and Interpretation of Concept Lattices. EJC 1999: 12-25
8EETu Bao Ho, Ngoc Binh Nguyen, Takafumi Morita: Study of a Mixed Similarity Measure for Classification and Clustering. PAKDD 1999: 375-379
1998
7EETu 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
6 Tu Bao Ho, Trong Dung Nguyen: Interactive Visualization for Predictive Modelling with Decision Tree Induction. PKDD 1998: 158-166
1997
5 Tu Bao Ho, Chi Main Luong: Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results. IJCAI (1) 1997: 258-267
1996
4 Tu Bao Ho: Automation in knowledge engineering via inductive learning. IFIP World Conference on IT Tools 1996
3EETu Bao Ho: Combining Views on Concepts in Unsupervised Concept Learning. PRICAI 1996: 336-347
1994
2 Tu Bao Ho: A Method for Organizing Knowledge Bases in the Hierarchical Form. ICTAI 1994: 816-819
1989
1EETu 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

1Nick Cercone [90]
2David Wai-Lok Cheung (David W. Cheung) [59]
3José Carlos Clemente [58]
4Xavier Défago [44]
5Said Elnaffar [52]
6Yoshikazu Fujikawa [22]
7Khaled Ghédira [39]
8Janusz Granat [77]
9Ahlem Ben Hassine [32] [39] [40] [44] [64]
10Susumu Horiguchi [35] [36] [47] [53] [57] [65]
11Wei Huang [54] [60]
12Van-Nam Huynh [20] [25] [31] [34] [41] [43] [49] [62] [66] [86]
13Yasushi Inoguchi [57] [65]
14Takayuki Ito [32] [40] [64]
15Takuyu Ito [7]
16Takuya Katayama [52]
17Saori Kawasaki [10] [14] [16] [17] [27] [29] [30] [33] [72] [73] [76] [77] [78] [79] [87]
18Boonserm Kijsirikul [90]
19Masayuki Kimura [28]
20Vladik Kreinovich [85]
21Bac Le [89]
22Minh-Hoang Le [68]
23Si Quang Le [30] [38] [42] [45] [67] [73] [79]
24Xuefeng Liang [69]
25Doan Ngoc Lien [1]
26Mao Song Lin [37] [60] [61] [69]
27Huan Liu [59]
28Nguyen The Loc [52]
29Chi Main Luong [5]
30Takafumi Morita [8]
31Tetsuya Murai [41] [49] [62]
32Yoshiteru Nakamori [20] [25] [31] [34] [41] [43] [49] [62] [66] [68] [86]
33Canh Hao Nguyen [50] [73] [76] [78] [80] [83] [85] [87]
34DucDung Nguyen [14] [16] [17] [21] [23] [24] [26] [30] [55] [56] [63] [72]
35Huy Nguyen [89]
36Minh Le Nguyen [35] [53] [57] [65]
37Ngoc Binh Nguyen [7] [8] [10] [11] [19]
38Thanh Phuong Nguyen [71] [81]
39Trong Dung Nguyen [6] [7] [12] [13] [14] [15] [18] [21] [23] [24] [27] [28] [29] [30] [33] [79]
40Masayuki Numao [74]
41Tho Hoan Pham [46] [58] [70] [75] [82]
42Xuan Hieu Phan [36] [47] [53] [57] [65]
43Germano Resconi [25] [34]
44Mina Ryoke [31]
45Kenji Satou [46] [51] [58] [70] [82] [84]
46Akira Shimazu [35]
47Hiroshi Shimodaira [12] [13] [15] [28]
48Takahiro Suzuki [79]
49Katsuhiko Takabayashi [30] [73] [76] [78] [79]
50Hiroaki Tanabe [87]
51Thanaruk Theeramunkong [90]
52Dang Hung Tran [70] [82] [84]
53Tuan Nam Tran [51]
54Le Sy Vinh [67]
55Bay Vo [89]
56Hideto Yokoi [30] [79]
57Osamu Yokosuka [79]
58Hui Zhang [37] [48] [54] [60] [61] [69]
59Yang Zhang [61]
60Zhi-Hua Zhou [88]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)