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Tu-Bao Ho – Ho Tu Bao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2021
[j58]Nuttapong Sanglerdsinlapachai, Anon Plangprasopchok, Tu Bao Ho, Ekawit Nantajeewarawat:
Improving sentiment analysis on clinical narratives by exploiting UMLS semantic types. Artif. Intell. Medicine 113: 102033 (2021)- 2020
- [j57]Duy-Hien Vu
, The-Dung Luong, Tu-Bao Ho:
An efficient approach for secure multi-party computation without authenticated channel. Inf. Sci. 527: 356-368 (2020) - [c98]Dinh Phuong Nguyen, Tu Bao Ho:
Drug-Drug Interaction Extraction from Biomedical Texts via Relation BERT. RIVF 2020: 1-7
2010 – 2019
- 2019
- [j56]Nuttapong Sanglerdsinlapachai, Anon Plangprasopchok, Tu Bao Ho, Ekawit Nantajeewarawat:
Rule-Based Polarity Aggregation Using Rhetorical Structures for Aspect-Based Sentiment Analysis. Int. J. Knowl. Syst. Sci. 10(3): 44-60 (2019) - [j55]Gandhimathi Moharasan, Tu Bao Ho:
Extraction of Temporal Information from Clinical Narratives. J. Heal. Informatics Res. 3(2): 220-244 (2019) - [j54]Khanh Hung Hoang, Tu Bao Ho:
Learning and recommending treatments using electronic medical records. Knowl. Based Syst. 181 (2019) - 2018
- [j53]Ryosuke Matsuo, Tu Bao Ho:
Semantic term weighting for clinical texts. Expert Syst. Appl. 114: 543-551 (2018) - [c97]Duy-Hien Vu, The-Dung Luong, Tu-Bao Ho, Chung-Tien Nguyen:
An Efficient Approach for Electronic Voting Scheme without An Authenticated Channel. KSE 2018: 376-381 - [c96]Khanh Hung Hoang, Tu Bao Ho:
Learning Treatment Regimens from Electronic Medical Records. PAKDD (1) 2018: 411-422 - [i5]Khanh Hung Hoang, Tu Bao Ho:
Learning Treatment Regimens from Electronic Medical Records. CoRR abs/1806.07461 (2018) - 2017
- [j52]Duy Khuong Nguyen, Tu Bao Ho:
Accelerated anti-lopsided algorithm for nonnegative least squares. Int. J. Data Sci. Anal. 3(1): 23-34 (2017) - [j51]Duy Khuong Nguyen, Tu Bao Ho:
Accelerated parallel and distributed algorithm using limited internal memory for nonnegative matrix factorization. J. Glob. Optim. 68(2): 307-328 (2017) - [c95]Gandhimathi Moharasan, Tu Bao Ho:
Extraction of Temporal Events from Clinical Text Using Semi-supervised Conditional Random Fields. DMBD 2017: 409-421 - 2016
- [j50]Thang Vinh Ho, Yoshiteru Nakamori, Tu-Bao Ho, Cher Ping Lim:
Blended learning model on hands-on approach for in-service secondary school teachers: Combination of E-learning and face-to-face discussion. Educ. Inf. Technol. 21(1): 185-208 (2016) - [j49]Hang Li, Dinh Q. Phung, Tru H. Cao, Tu Bao Ho, Zhi-Hua Zhou:
Introduction: special issue of selected papers from ACML 2014. Mach. Learn. 103(2): 137-139 (2016) - [c94]Duy Khuong Nguyen, Quoc Tran-Dinh, Tu Bao Ho:
Simplicial Nonnegative Matrix Tri-factorization: Fast Guaranteed Parallel Algorithm. ICONIP (2) 2016: 117-125 - [c93]Nguyen Dong Phuong, Vo Thi Ngoc Chau, Ho Tu Bao:
A Hybrid Semi-supervised Learning Approach to Identifying Protected Health Information in Electronic Medical Records. IMCOM 2016: 82:1-82:8 - [c92]Tran-Thai Dang, Tu-Bao Ho:
Mixture of Language Models Utilization in Score-Based Sentiment Classification on Clinical Narratives. IEA/AIE 2016: 255-268 - [c91]Gandhimathi Moharasan, Ho Tu Bao:
NTCIR-12: Temporal Intent Disambiguation Subtask: Naive Bayesian Classifier to Predict Temporal Classes. NTCIR 2016 - [c90]Thi Ngoc Chau Vo, Tru Hoang Cao, Tu Bao Ho:
Abbreviation Identification in Clinical Notes with Level-wise Feature Engineering and Supervised Learning. PKAW 2016: 3-17 - [c89]Gandhimathi Moharasan, Tu Bao Ho:
A semi-supervised approach for temporal information extraction from clinical text. RIVF 2016: 7-12 - [c88]Tran-Thai Dang, Phetnidda Ouankhamchan, Tu-Bao Ho:
Detection of new drug indications from electronic medical records. RIVF 2016: 223-228 - [c87]Duy Pham, Bao-Khanh Le, Tu-Bao Ho, Ly Le:
System pharmacology: Application of network theory in predicting potential adverse drug reaction based on gene expression data. RIVF 2016: 241-246 - [i4]Duy Khuong Nguyen, Tu Bao Ho:
Fast Parallel Randomized Algorithm for Nonnegative Matrix Factorization with KL Divergence for Large Sparse Datasets. CoRR abs/1604.04026 (2016) - 2015
- [j48]Bui Thang Ngoc, Tu Bao Ho, Tatsuo Kanda:
A semi-supervised tensor regression model for siRNA efficacy prediction. BMC Bioinform. 16: 80:1-80:12 (2015) - [j47]Thang Vinh Ho, Yoshiteru Nakamori, Tu Bao Ho, Sy-Duc Nguyen:
The Effects of a Knowledge Management-Based Model for Teacher Professional Development in Hands-On Approach. Int. J. Knowl. Syst. Sci. 6(1): 60-78 (2015) - [j46]Phuong-Thai Nguyen, Anh-Cuong Le, Tu-Bao Ho, Van Hiep Nguyen:
Vietnamese treebank construction and entropy-based error detection. Lang. Resour. Evaluation 49(3): 487-519 (2015) - [j45]Cheng Soon Ong, Wray L. Buntine, Tu Bao Ho, Masashi Sugiyama, Geoffrey I. Webb:
Introduction: special issue of selected papers of ACML 2013. Mach. Learn. 99(2): 165-167 (2015) - [c86]Bui Ngoc Thang, Le Sy Vinh, Ho Tu Bao:
MVRM: A Hybrid Approach to Predict siRNA Efficacy. KSE 2015: 120-125 - [e10]Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda:
Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I. Lecture Notes in Computer Science 9077, Springer 2015, ISBN 978-3-319-18037-3 [contents] - [e9]Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda:
Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9078, Springer 2015, ISBN 978-3-319-18031-1 [contents] - [e8]Xiaoli Li, Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015. Revised Selected Papers. Lecture Notes in Computer Science 9441, Springer 2015, ISBN 978-3-319-25659-7 [contents] - [i3]Duy Khuong Nguyen, Tu Bao Ho:
Accelerated Parallel and Distributed Algorithm using Limited Internal Memory for Nonnegative Matrix Factorization. CoRR abs/1506.08938 (2015) - 2014
- [j44]Ngoc Tu Le, Tu Bao Ho, Bich Hai Ho, Dang Tran:
A nucleosomal approach to inferring causal relationships of histone modifications. BMC Genom. 15(S-1): S7 (2014) - [j43]Cuong Hoang, Anh-Cuong Le, Phuong-Thai Nguyen, Son Bao Pham, Tu-Bao Ho:
An Efficient Framework for Extracting Parallel Sentences from Non-Parallel Corpora. Fundam. Informaticae 130(2): 179-199 (2014) - [j42]Khoat Than, Tu Bao Ho:
Modeling the diversity and log-normality of data. Intell. Data Anal. 18(6): 1067-1088 (2014) - [j41]Khoat Than, Tu Bao Ho, Duy Khuong Nguyen:
An effective framework for supervised dimension reduction. Neurocomputing 139: 397-407 (2014) - [e7]Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao:
Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I. Lecture Notes in Computer Science 8443, Springer 2014, ISBN 978-3-319-06607-3 [contents] - [e6]Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao:
Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II. Lecture Notes in Computer Science 8444, Springer 2014, ISBN 978-3-319-06604-2 [contents] - [e5]Wen-Chih Peng, Haixun Wang, James Bailey, Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA,Tainan, Taiwan, May 13-16, 2014. Revised Selected Papers. Lecture Notes in Computer Science 8643, Springer 2014, ISBN 978-3-319-13185-6 [contents] - 2013
- [j40]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. Univers. Comput. Sci. 19(4): 563-580 (2013) - [j39]Ngoc Tu Le, Tu Bao Ho, Bich Hai Ho:
Computational Reconstruction of Transcriptional Relationships from ChIP-Chip Data. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 300-307 (2013) - [c85]Bui Thang Ngoc, Tu Bao Ho, Saori Kawasaki:
A Descriptive Method for Generating siRNA Design Rules. ACIIDS (2) 2013: 196-205 - [c84]Duy Khuong Nguyen, Khoat Than, Tu Bao Ho:
Simplicial nonnegative matrix factorization. RIVF 2013: 47-52 - [e4]Cheng Soon Ong, Tu Bao Ho:
Asian Conference on Machine Learning, ACML 2013, Canberra, ACT, Australia, November 13-15, 2013. JMLR Workshop and Conference Proceedings 29, JMLR.org 2013 [contents] - [i2]Khoat Than, Tu Bao Ho:
Probable convexity and its application to Correlated Topic Models. CoRR abs/1312.4527 (2013) - 2012
- [j38]Thanh-Phuong Nguyen, Tu-Bao Ho:
Detecting disease genes based on semi-supervised learning and protein-protein interaction networks. Artif. Intell. Medicine 54(1): 63-71 (2012) - [j37]Tu Bao Ho, Patrick Bellot, Tru H. Cao:
Advances in information and knowledge systems. J. Ambient Intell. Humaniz. Comput. 3(4): 249 (2012) - [j36]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 Intell. Humaniz. Comput. 3(4): 315-323 (2012) - [c83]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 - [c82]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 - [c81]Khoat Than, Tu Bao Ho:
Fully Sparse Topic Models. ECML/PKDD (1) 2012: 490-505 - [c80]Cuong Hoang, Anh-Cuong Le, Phuong-Thai Nguyen, Tu-Bao Ho:
Exploiting Non-Parallel Corpora for Statistical Machine Translation. RIVF 2012: 1-6 - [c79]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 - [c78]Khoat Than, Tu Bao Ho, Duy Khuong Nguyen, Pham Ngoc Khanh:
Supervised dimension reduction with topic models. ACML 2012: 395-410 - [i1]Khoat Than, Tu Bao Ho:
Managing sparsity, time, and quality of inference in topic models. CoRR abs/1210.7053 (2012) - 2011
- [j35]Dang Hung Tran, Tu Bao Ho, Tho Hoan Pham, Kenji Satou:
MicroRNA Expression Profiles for Classification and Analysis of Tumor Samples. IEICE Trans. Inf. Syst. 94-D(3): 416-422 (2011) - [c77]Ngoc Tu Le, Tu Bao Ho:
Reconstruction of Histone Modification Network from Next-generation Sequencing Data. BIBE 2011: 181-188 - [c76]Hieu-Chi Dam, Tu Bao Ho, Ayumu Sugiyama:
Simulation-Based Data Mining Solution to the Structure of Water Surrounding Proteins. IJCAI 2011: 2424-2429 - [c75]The Dung Luong, Tu Bao Ho:
A Distributed Solution for Privacy Preserving Outlier Detection. KSE 2011: 26-31 - [c74]Phuong-Thai Nguyen, Anh-Cuong Le, Tu-Bao Ho, Thi-Thanh-Tam Do:
Two Entropy-Based Methods for Detecting Errors in POS-Tagged Treebank. KSE 2011: 150-156 - 2010
- [j34]Tu Bao Ho, Zhi-Hua Zhou, Hiroshi Motoda:
Editorial. Intell. Data Anal. 14(4): 437-438 (2010) - [j33]The Dung Luong, Tu Bao Ho:
Privacy Preserving Frequency Mining in 2-Part Fully Distributed Setting. IEICE Trans. Inf. Syst. 93-D(10): 2702-2708 (2010) - [c73]Pham Ngoc Khanh, Tu Bao Ho:
Mining Parallel Documents across Web Sites. AIRS 2010: 552-563 - [c72]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 - [c71]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
- [j32]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) - [j31]Tu Bao Ho, Zhi-Hua Zhou, Hiroshi Motoda:
Preface. Int. J. Softw. Informatics 3(1): 1-2 (2009) - [c70]Le Minh Nguyen, Huong Thao Nguyen, Phuong-Thai Nguyen, Tu Bao Ho, Akira Shimazu:
An Empirical Study of Vietnamese Noun Phrase Chunking with Discriminative Sequence Models. ALR7@IJCNLP 2009: 9-16 - [c69]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 - [c68]The Dung Luong, Tu Bao Ho:
Privacy Preserving EM-Based Clustering. RIVF 2009: 1-7 - [e3]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. Lecture Notes in Computer Science 5476, Springer 2009, ISBN 978-3-642-01306-5 [contents] - 2008
- [j30]Dang Hung Tran, Kenji Satou, Tu Bao Ho:
Finding microRNA regulatory modules in human genome using rule induction. BMC Bioinform. 9(S-12) (2008) - [j29]Thanh Phuong Nguyen, Tu Bao Ho:
An Integrative Domain-Based Approach to Predicting protein-protein Interactions. J. Bioinform. Comput. Biol. 6(6): 1115-1132 (2008) - [j28]Canh Hao Nguyen, Tu Bao Ho:
An efficient kernel matrix evaluation measure. Pattern Recognit. 41(11): 3366-3372 (2008) - [c67]Thai Phuong Nguyen, Akira Shimazu, Tu Bao Ho, Minh Le Nguyen, Vinh Van Nguyen:
A Tree-to-String Phrase-based Model for Statistical Machine Translation. CoNLL 2008: 143-150 - [c66]Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki:
Simple but effective methods for combining kernels in computational biology. RIVF 2008: 71-78 - [p4]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 - [p3]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:
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 [contents] - 2007
- [j27]Ahlem Ben Hassine, Tu Bao Ho:
An agent-based approach to solve dynamic meeting scheduling problems with preferences. Eng. Appl. Artif. Intell. 20(6): 857-873 (2007) - [j26]Van-Nam Huynh, Yoshiteru Nakamori, Mina Ryoke, Tu Bao Ho:
Decision making under uncertainty with fuzzy targets. Fuzzy Optim. Decis. Mak. 6(3): 255-278 (2007) - [j25]Tu Bao Ho, Saori Kawasaki, Katsuhiko Takabayashi, Canh Hao Nguyen:
Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining. IEICE Trans. Inf. Syst. 90-D(10): 1574-1581 (2007) - [j24]Tho Hoan Pham, Tu Bao Ho:
A Hyper-Heuristic for Descriptive Rule Induction. Int. J. Data Warehous. Min. 3(1): 54-66 (2007) - [j23]Masayuki Numao, Tu Bao Ho:
Active Mining. New Gener. Comput. 25(3): 201-202 (2007) - [j22]Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Si Quang Le, Katsuhiko Takabayashi:
Exploiting Temporal Relations in Mining Hepatitis Data. New Gener. Comput. 25(3): 247-262 (2007) - [c65]Tho Hoan Pham, Tu Bao Ho, Dang Hung Tran, Kenji Satou:
Prediction of Histone Modifications in DNA sequences. BIBE 2007: 959-966 - [c64]Thanh Phuong Nguyen, Tu Bao Ho:
A Semi-supervised Learning Approach to Disease Gene Prediction. BIBM 2007: 423-428 - [c63]Canh Hao Nguyen, Tu Bao Ho:
Kernel Matrix Evaluation. IJCAI 2007: 987-992 - [c62]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 - [c61]Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Katsuhiko Takabayashi:
Temporal Relations Extraction in Mining Hepatitis Data. PAKDD 2007: 523-530 - [p2]Tu Bao Ho, Saori Kawasaki, Janusz Granat:
Knowledge Acquisition by Machine Learning and Data Mining. Creative Environments 2007: 69-91 - 2006
- [j21]Ahlem Ben Hassine, Tu Bao Ho, Takayuki Ito:
Meetings scheduling solver enhancement with local consistency reinforcement. Appl. Intell. 24(2): 143-154 (2006) - [j20]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) - [j19]Hui Zhang, Tu Bao Ho, Mao Song Lin, Wei Huang:
Combining the Global and Partial Information for Distance-Based Time Series Classification and Clustering. J. Adv. Comput. Intell. Intell. Informatics 10(1): 69-76 (2006) - [j18]Xuan Hieu Phan, Le Minh 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) - [j17]DucDung Nguyen, Tu Bao Ho:
A bottom-up method for simplifying support vector solutions. IEEE Trans. Neural Networks 17(3): 792-796 (2006) - [j16]Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho, Tetsuya Murai:
Multiple-attribute decision making under uncertainty: the evidential reasoning approach revisited. IEEE Trans. Syst. Man Cybern. Part A 36(4): 804-822 (2006) - [c60]DucDung Nguyen, Tu Bao Ho, Saori Kawasaki:
Knowledge visualization in hepatitis study. APVIS 2006: 59-62 - [c59]Thanh Phuong Nguyen, Tu Bao Ho:
Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases. Discovery Science 2006: 185-196 - [c58]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 - [c57]Van-Nam Huynh, Yoshiteru Nakamori, Mina Ryoke, Tu-Bao Ho:
A Fuzzy Target Based Model for Decision Making Under Uncertainty. FUZZ-IEEE 2006: 1611-1618 - [c56]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 - [c55]Minh-Hoang Le, Tu Bao Ho, Yoshiteru Nakamori:
Detecting Citation Types Using Finite-State Machines. PAKDD 2006: 265-274 - [c54]Si Quang Le, Tu Bao Ho, Le Sy Vinh:
Association-Based Dissimilarity Measures for Categorical Data: Limitation and Improvement. PAKDD 2006: 493-498 - [c53]Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho:
Utility Function Induced by Fuzzy Target in Probabilistic Decision Making. RSCTC 2006: 296-305 - 2005
- [j15]Xuan Hieu Phan, Susumu Horiguchi, Tu Bao Ho:
Automated data extraction from the web with conditional models. Int. J. Bus. Intell. Data Min. 1(2): 194-209 (2005) - [j14]Tho Hoan Pham, Kenji Satou, Tu Bao Ho:
Support Vector Machines for Prediction and Analysis of Beta and Gamma-turns in Proteins. J. Bioinform. Comput. Biol. 3(2): 343-358 (2005) - [j13]Si Quang Le, Tu Bao Ho:
An association-based dissimilarity measure for categorical data. Pattern Recognit. Lett. 26(16): 2549-2557 (2005) - [c52]Tho Hoan Pham, José Carlos Clemente, Kenji Satou, Tu Bao Ho:
Computational discovery of transcriptional regulatory rules. ECCB/JBI 2005: 107 - [c51]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 - [c50]DucDung Nguyen, Tu Bao Ho:
Speeding-up Model Selection for Support Vector Machines. FLAIRS 2005: 436-441 - [c49]DucDung Nguyen, Tu Bao Ho:
An efficient method for simplifying support vector machines. ICML 2005: 617-624 - [c48]Hui Zhang, Tu Bao Ho, Wei Huang:
Blind Feature Extraction for Time-Series Classification Using Haar Wavelet Transform. ISNN (2) 2005: 605-610 - [c47]Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu Horiguchi:
Improving discriminative sequential learning with rare--but--important associations. KDD 2005: 304-313 - [c46]Nguyen The Loc, Said Elnaffar, Takuya Katayama, Tu Bao Ho:
A Scheduling Method for Divisible Workload Problem in Grid Environments. PDCAT 2005: 513-517 - [c45]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 - [c44]Canh Hao Nguyen, Tu Bao Ho:
An Imbalanced Data Rule Learner. PKDD 2005: 617-624 - [c43]Van-Nam Huynh, Tetsuya Murai, Tu Bao Ho, Yoshiteru Nakamori:
An Extension of Rough Approximation Quality to Fuzzy Classification. RSFDGrC (1) 2005: 373-382 - [c42]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:
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 [contents] - 2004
- [j12]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) - [j11]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) - [c41]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 - [c40]Ahlem Ben Hassine, Xavier Défago, Tu Bao Ho:
Agent-Based Approach to Dynamic Meeting Scheduling Problems. AAMAS 2004: 1132-1139 - [c39]Minh Le Nguyen, Akira Shimazu, Susumu Horiguchi, Tu Bao Ho, Masaru Fukushi:
Probabilistic Sentence Reduction Using Support Vector Machines. COLING 2004 - [c38]Si Quang Le, Tu Bao Ho:
Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach. Discovery Science 2004: 129-141 - [c37]Van-Nam Huynh, Yoshiteru Nakamori, Tetsuya Murai, Tu Bao Ho:
A New Approach to Belief Modeling. FoIKS 2004: 196-230 - [c36]Ahlem Ben Hassine, Takayuki Ito, Tu Bao Ho:
Scheduling Meetings with Distributed Local Consistency Reinforcement. IEA/AIE 2004: 679-688 - [c35]Ahlem Ben Hassine, Khaled Ghédira, Tu Bao Ho:
New Distributed Filtering-Consistency Approach to General Networks. IEA/AIE 2004: 708-717 - [c34]Si Quang Le, Tu Bao Ho:
A Conditional Probability Distribution-Based Dissimilarity Measure for Categorial Data. PAKDD 2004: 580-589 - [c33]Hui Zhang, Tu Bao Ho, Mao Song Lin:
A Non-parametric Wavelet Feature Extractor for Time Series Classification. PAKDD 2004: 595-603 - [c32]Xuan Hieu Phan, Susumu Horiguchi, Tu Bao Ho:
PEWeb: Product Extraction from the Web Based on Entropy Estimation. Web Intelligence 2004: 590-593 - 2003
- [j10]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) - [j9]Saori Kawasaki, Trong Dung Nguyen, Tu Bao Ho:
Temporal Abstraction for Long-Term Test Changes in the Hepatitis Domain. J. Adv. Comput. Intell. Intell. Informatics 7(3): 348-354 (2003) - [j8]Tu Bao Ho, DucDung Nguyen:
Chance Discovery and Learning Minority Classes. New Gener. Comput. 21(2): 149-161 (2003) - [c31]Trong Dung Nguyen, Saori Kawasaki, Tu Bao Ho:
Discovery of Trends and States in Irregular Medical Temporal Data. Discovery Science 2003: 410-417 - [c30]Ahlem Ben Hassine, Takayuki Ito, Tu Bao Ho:
A New Distributed Approach to Solve Meeting Scheduling Problems. IAT 2003: 588-591 - [c29]Phu Chien Nguyen, Masato Akagi, Tu Bao Ho:
Temporal decomposition: a promising approach to VQ-based speaker identification. ICASSP (1) 2003: 184-187 - [c28]Phu Chien Nguyen, Masato Akagi, Tu Bao Ho:
Temporal decomposition: a promising approach to VQ-based speaker identification. ICME 2003: 617-620 - [c27]Van-Nam Huynh, Mina Ryoke, Yoshiteru Nakamori, Tu Bao Ho:
Fuzziness and Uncertainty within the Framework of Context Model. IFSA 2003: 219-228 - [c26]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 - [c25]Saori Kawasaki, Tu Bao Ho, Trong Dung Nguyen:
Abstraction of Long-Term Changed Tests in Mining Hepatitis Data. KES 2003: 366-372 - [p1]Tu Bao Ho, Saori Kawasaki, Ngoc Binh Nguyen:
Documents Clustering Using Tolerance Rough Set Model and Its Application to Information Retrieval. Intelligent Exploration of the Web 2003: 181-196 - 2002
- [j7]Van-Nam Huynh, Tu Bao Ho, Yoshiteru Nakamori:
A parametric representation of linguistic hedges in Zadeh's fuzzy logic. Int. J. Approx. Reason. 30(3): 203-223 (2002) - [j6]Tu Bao Ho, Saori Kawasaki, Ngoc Binh Nguyen:
Cluster-based Information Retrieval with Tolerance Rough Set Model. Int. J. Fuzzy Log. Intell. Syst. 2(1): 26-32 (2002) - [j5]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) - [c24]Trong Dung Nguyen, Tu Bao Ho:
Visualization method and tool for interactive learning of large decision trees. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2002: 34-42 - [c23]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 - [c22]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 - [c21]Tu Bao Ho, Trong Dung Nguyen, DucDung Nguyen:
Visualization support for a user-centered KDD process. KDD 2002: 519-524 - [c20]Yoshikazu Fujikawa, Tu Bao Ho:
Cluster-Based Algorithms for Dealing with Missing Values. PAKDD 2002: 549-554 - [c19]Trong Dung Nguyen, Tu Bao Ho, DucDung Nguyen:
Data and Knowledge Visualization in Knowledge Discovery Process. VISUAL 2002: 311-322 - 2001
- [j4]Tu Bao Ho, Trong Dung Nguyen, DucDung Nguyen, Saori Kawasaki:
Visualization Support for User-Centered Model Selection in Knowledge Discovery and Data Mining. Int. J. Artif. Intell. Tools 10(4): 691-713 (2001) - [c18]Tu Bao Ho, Trong Dung Nguyen:
Visualization Support for User-Centered Model Selection in Knowledge Discovery in Databases. ICTAI 2001: 228-235 - [c17]Tu Bao Ho, DucDung Nguyen, Saori Kawasaki:
Mining Prediction Rules from Minority Classes. INAP 2001: 254-265 - [c16]Tu Bao Ho, Saori Kawasaki, DucDung Nguyen:
Extracting Meningitis Knowledge by Integration of Rule Induction and Association Mining. JSAI Workshops 2001: 508-515 - [c15]Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira:
A Scalable Algorithm for Rule Post-pruning of Large Decision Trees. PAKDD 2001: 467-476 - 2000
- [c14]Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira:
A visualization tool for interactive learning of large decision trees. ICTAI 2000: 28-35 - [c13]Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira:
Interactive Visualization in Mining Large Decision Trees. PAKDD 2000: 345-348 - [c12]Ngoc Binh Nguyen, Tu Bao Ho:
A Mixed Similarity Measure in Near-Linear Computational Complexity for Distance-Based Methods. PKDD 2000: 211-220 - [c11]Saori Kawasaki, Ngoc Binh Nguyen, Tu Bao Ho:
Hierarchical Document Clustering Based on Tolerance Rough Set Model. PKDD 2000: 458-463
1990 – 1999
- 1999
- [c10]Tu Bao Ho:
Two approaches to the Representation and Interpretation of Concept Lattices. EJC 1999: 12-25 - [c9]Tu Bao Ho, Ngoc Binh Nguyen, Takafumi Morita:
Study of a Mixed Similarity Measure for Classification and Clustering. PAKDD 1999: 375-379 - 1998
- [c8]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 - [c7]Tu Bao Ho, Trong Dung Nguyen:
Interactive Visualization for Predictive Modelling with Decision Tree Induction. PKDD 1998: 158-166 - 1997
- [j3]Tu Bao Ho:
Discovering and using knowledge from unsupervised data. Decis. Support Syst. 21(1): 29-42 (1997) - [c6]Tu Bao Ho, Chi Mai Luong:
Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results. IJCAI (1) 1997: 258-267 - 1996
- [c5]Tu Bao Ho, Trong Dung Nguyen:
Evaluation of Attribute Selection Measures in Decision Tree Induction. IEA/AIE 1996: 413-418 - [c4]Tu Bao Ho:
Automation in knowledge engineering via inductive learning. IFIP World Conference on IT Tools 1996 - [c3]Tu Bao Ho:
Combining Views on Concepts in Unsupervised Concept Learning. PRICAI 1996: 336-347 - 1995
- [j2]Tu Bao Ho:
An Approach to Concept Formation Based on Formal Concept Analysis. IEICE Trans. Inf. Syst. 78-D(5): 553-559 (1995) - 1994
- [c2]Tu Bao Ho:
A Method for Organizing Knowledge Bases in the Hierarchical Form. ICTAI 1994: 816-819
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 - 1988
- [j1]Tu Bao Ho, Edwin Diday, Mireille Gettler-Summa:
Generating rules for expert systems from observations. Pattern Recognit. Lett. 7(5): 265-271 (1988)
Coauthor Index
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