| 2007 |
|---|
| 74 | EE | Tho Hoan Pham,
Tu Bao Ho,
Dang Hung Tran,
Kenji Satou:
Prediction of Histone Modifications in DNA sequences.
BIBE 2007: 959-966 |
| 73 | EE | Thanh Phuong Nguyen,
Tu Bao Ho:
A Semi-supervised Learning Approach to Disease Gene Prediction.
BIBM 2007: 423-428 |
| 72 | EE | Canh Hao Nguyen,
Tu Bao Ho:
Kernel Matrix Evaluation.
IJCAI 2007: 987-992 |
| 71 | EE | Tu Bao Ho,
Canh Hao Nguyen,
Saori Kawasaki,
Katsuhiko Takabayashi:
Temporal Relations Extraction in Mining Hepatitis Data.
PAKDD 2007: 523-530 |
| 70 | EE | Tu Bao Ho,
Saori Kawasaki,
Janusz Granat:
Knowledge Acquisition by Machine Learning and Data Mining.
Creative Environments 2007: 69-91 |
| 69 | 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) |
| 2006 |
|---|
| 68 | 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 |
| 67 | 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 |
| 66 | 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 |
| 65 | EE | Minh-Hoang Le,
Tu Bao Ho,
Yoshiteru Nakamori:
Detecting Citation Types Using Finite-State Machines.
PAKDD 2006: 265-274 |
| 64 | EE | Si Quang Le,
Tu Bao Ho,
Le Sy Vinh:
Association-Based Dissimilarity Measures for Categorical Data: Limitation and Improvement.
PAKDD 2006: 493-498 |
| 63 | EE | Van-Nam Huynh,
Yoshiteru Nakamori,
Tu Bao Ho:
Utility Function Induced by Fuzzy Target in Probabilistic Decision Making.
RSCTC 2006: 296-305 |
| 62 | 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) |
| 61 | EE | Ahlem Ben Hassine,
Tu Bao Ho,
Takayuki Ito:
Meetings scheduling solver enhancement with local consistency reinforcement.
Appl. Intell. 24(2): 143-154 (2006) |
| 60 | 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) |
| 59 | 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) |
| 58 | 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 |
|---|
| 57 | | 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 |
| 56 | EE | Tho Hoan Pham,
José Carlos Clemente,
Kenji Satou,
Tu Bao Ho:
Computational discovery of transcriptional regulatory rules.
ECCB/JBI 2005: 107 |
| 55 | 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 |
| 54 | | DucDung Nguyen,
Tu Bao Ho:
Speeding-up Model Selection for Support Vector Machines.
FLAIRS Conference 2005: 436-441 |
| 53 | EE | DucDung Nguyen,
Tu Bao Ho:
An efficient method for simplifying support vector machines.
ICML 2005: 617-624 |
| 52 | EE | Hui Zhang,
Tu Bao Ho,
Wei Huang:
Blind Feature Extraction for Time-Series Classification Using Haar Wavelet Transform.
ISNN (2) 2005: 605-610 |
| 51 | 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 |
| 50 | 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 |
| 49 | EE | Canh Hao Nguyen,
Tu Bao Ho:
An Imbalanced Data Rule Learner.
PKDD 2005: 617-624 |
| 48 | 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 |
| 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 |
