2009 | ||
---|---|---|
85 | EE | Thanaruk 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 |
2008 | ||
84 | 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 | |
83 | EE | Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki: Simple but effective methods for combining kernels in computational biology. RIVF 2008: 71-78 |
82 | EE | 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 |
81 | EE | 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 |
80 | EE | Canh Hao Nguyen, Tu Bao Ho: An efficient kernel matrix evaluation measure. Pattern Recognition 41(11): 3366-3372 (2008) |
2007 | ||
79 | EE | Tho Hoan Pham, Tu Bao Ho, Dang Hung Tran, Kenji Satou: Prediction of Histone Modifications in DNA sequences. BIBE 2007: 959-966 |
78 | EE | Thanh Phuong Nguyen, Tu Bao Ho: A Semi-supervised Learning Approach to Disease Gene Prediction. BIBM 2007: 423-428 |
77 | EE | Canh Hao Nguyen, Tu Bao Ho: Kernel Matrix Evaluation. IJCAI 2007: 987-992 |
76 | EE | Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Katsuhiko Takabayashi: Temporal Relations Extraction in Mining Hepatitis Data. PAKDD 2007: 523-530 |
75 | EE | Tu Bao Ho, Saori Kawasaki, Janusz Granat: Knowledge Acquisition by Machine Learning and Data Mining. Creative Environments 2007: 69-91 |
74 | EE | 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) |
73 | EE | Masayuki Numao, Tu Bao Ho: Active Mining. New Generation Comput. 25(3): 201-202 (2007) |
72 | EE | 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) |
2006 | ||
71 | EE | DucDung Nguyen, Tu Bao Ho, Saori Kawasaki: Knowledge visualization in hepatitis study. APVIS 2006: 59-62 |
70 | EE | Thanh Phuong Nguyen, Tu Bao Ho: Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases. Discovery Science 2006: 185-196 |
69 | EE | 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 |
68 | EE | 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 |
67 | EE | Minh-Hoang Le, Tu Bao Ho, Yoshiteru Nakamori: Detecting Citation Types Using Finite-State Machines. PAKDD 2006: 265-274 |
66 | EE | Si Quang Le, Tu Bao Ho, Le Sy Vinh: Association-Based Dissimilarity Measures for Categorical Data: Limitation and Improvement. PAKDD 2006: 493-498 |
65 | EE | Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho: Utility Function Induced by Fuzzy Target in Probabilistic Decision Making. RSCTC 2006: 296-305 |
64 | EE | 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) |
63 | EE | Ahlem Ben Hassine, Tu Bao Ho, Takayuki Ito: Meetings scheduling solver enhancement with local consistency reinforcement. Appl. Intell. 24(2): 143-154 (2006) |
62 | EE | DucDung Nguyen, Tu Bao Ho: A bottom-up method for simplifying support vector solutions. IEEE Transactions on Neural Networks 17(3): 792-796 (2006) |
61 | EE | 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) |
60 | EE | 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) |
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 | |
58 | EE | Tho Hoan Pham, José Carlos Clemente, Kenji Satou, Tu Bao Ho: Computational discovery of transcriptional regulatory rules. ECCB/JBI 2005: 107 |
57 | EE | 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 |
56 | DucDung Nguyen, Tu Bao Ho: Speeding-up Model Selection for Support Vector Machines. FLAIRS Conference 2005: 436-441 | |
55 | EE | DucDung Nguyen, Tu Bao Ho: An efficient method for simplifying support vector machines. ICML 2005: 617-624 |
54 | EE | Hui Zhang, Tu Bao Ho, Wei Huang: Blind Feature Extraction for Time-Series Classification Using Haar Wavelet Transform. ISNN (2) 2005: 605-610 |
53 | EE | Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu Horiguchi: Improving discriminative sequential learning with rare--but--important associations. KDD 2005: 304-313 |
52 | EE | Nguyen The Loc, Said Elnaffar, Takuya Katayama, Tu Bao Ho: A Scheduling Method for Divisible Workload Problem in Grid Environments. PDCAT 2005: 513-517 |
51 | EE | 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 |
50 | EE | Canh Hao Nguyen, Tu Bao Ho: An Imbalanced Data Rule Learner. PKDD 2005: 617-624 |
49 | EE | Van-Nam Huynh, Tetsuya Murai, Tu Bao Ho, Yoshiteru Nakamori: An Extension of Rough Approximation Quality to Fuzzy Classification. RSFDGrC (1) 2005: 373-382 |
48 | EE | Hui Zhang, Tu Bao Ho: Finding The Clustering Consensus of Time Series with Multi-Scale Transform. WSTST 2005: 1081-1090 |
47 | EE | Xuan Hieu Phan, Susumu Horiguchi, Tu Bao Ho: Automated data extraction from the web with conditional models. IJBIDM 1(2): 194-209 (2005) |
46 | EE | 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) |
45 | EE | Si Quang Le, Tu Bao Ho: An association-based dissimilarity measure for categorical data. Pattern Recognition Letters 26(16): 2549-2557 (2005) |
2004 | ||
44 | EE | Ahlem Ben Hassine, Xavier Défago, Tu Bao Ho: Agent-Based Approach to Dynamic Meeting Scheduling Problems. AAMAS 2004: 1132-1139 |
43 | EE | 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 |
42 | EE | Si Quang Le, Tu Bao Ho: Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach. Discovery Science 2004: 129-141 |
41 | EE | Van-Nam Huynh, Yoshiteru Nakamori, Tetsuya Murai, Tu Bao Ho: A New Approach to Belief Modeling. FoIKS 2004: 196-230 |
40 | EE | Ahlem Ben Hassine, Takayuki Ito, Tu Bao Ho: Scheduling Meetings with Distributed Local Consistency Reinforcement. IEA/AIE 2004: 679-688 |
39 | EE | Ahlem Ben Hassine, Khaled Ghédira, Tu Bao Ho: New Distributed Filtering-Consistency Approach to General Networks. IEA/AIE 2004: 708-717 |
38 | EE | Si Quang Le, Tu Bao Ho: A Conditional Probability Distribution-Based Dissimilarity Measure for Categorial Data. PAKDD 2004: 580-589 |
37 | EE | Hui Zhang, Tu Bao Ho, Mao Song Lin: A Non-parametric Wavelet Feature Extractor for Time Series Classification. PAKDD 2004: 595-603 |
36 | EE | Xuan Hieu Phan, Susumu Horiguchi, Tu Bao Ho: PEWeb: Product Extraction from the Web Based on Entropy Estimation. Web Intelligence 2004: 590-593 |
35 | EE | 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) |
34 | EE | 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) |
2003 | ||
33 | EE | Trong Dung Nguyen, Saori Kawasaki, Tu Bao Ho: Discovery of Trends and States in Irregular Medical Temporal Data. Discovery Science 2003: 410-417 |
32 | EE | Ahlem Ben Hassine, Takayuki Ito, Tu Bao Ho: A New Distributed Approach to Solve Meeting Scheduling Problems. IAT 2003: 588-591 |
31 | EE | Van-Nam Huynh, Mina Ryoke, Yoshiteru Nakamori, Tu Bao Ho: Fuzziness and Uncertainty within the Framework of Context Model. IFSA 2003: 219-228 |
30 | EE | 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 |
29 | EE | Saori 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) | |
27 | EE | 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) |
26 | EE | Tu Bao Ho, DucDung Nguyen: Chance Discovery and Learning Minority Classes. New Generation Comput. 21(2): (2003) |
2002 | ||
25 | EE | 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 |
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 | |
23 | EE | Tu Bao Ho, Trong Dung Nguyen, DucDung Nguyen: Visualization support for a user-centered KDD process. KDD 2002: 519-524 |
22 | EE | Yoshikazu Fujikawa, Tu Bao Ho: Cluster-Based Algorithms for Dealing with Missing Values. PAKDD 2002: 549-554 |
21 | EE | Trong Dung Nguyen, Tu Bao Ho, DucDung Nguyen: Data and Knowledge Visualization in Knowledge Discovery Process. VISUAL 2002: 311-322 |
20 | EE | 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) |
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 | ||
18 | EE | Tu Bao Ho, Trong Dung Nguyen: Visualization Support for User-Centered Model Selection in Knowledge Discovery in Databases. ICTAI 2001: 228-235 |
17 | EE | Tu Bao Ho, DucDung Nguyen, Saori Kawasaki: Mining Prediction Rules from Minority Classes. INAP 2001: 254-265 |
16 | EE | Tu Bao Ho, Saori Kawasaki, DucDung Nguyen: Extracting Meningitis Knowledge by Integration of Rule Induction and Association Mining. JSAI Workshops 2001: 508-515 |
15 | EE | Trong 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 | ||
13 | EE | Trong 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 | |
11 | EE | Ngoc Binh Nguyen, Tu Bao Ho: A Mixed Similarity Measure in Near-Linear Computational Complexity for Distance-Based Methods. PKDD 2000: 211-220 |
10 | EE | Saori 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 | |
8 | EE | Tu Bao Ho, Ngoc Binh Nguyen, Takafumi Morita: Study of a Mixed Similarity Measure for Classification and Clustering. PAKDD 1999: 375-379 |
1998 | ||
7 | EE | 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 |
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 | |
3 | Tu 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 | ||
1 | 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 |