Tu Bao Ho

160 papers A* 6A 2B 23C 11Misc 1Journal 58Unranked 49
YearRankTypeTitle / Venue / Authors
2021 J jnl
Improving sentiment analysis on clinical narratives by exploiting UMLS semantic types.
Artif. Intell. Medicine
Nuttapong Sanglerdsinlapachai, Anon Plangprasopchok, Tu Bao Ho, Ekawit Nantajeewarawat
2020 — conf
Drug-Drug Interaction Extraction from Biomedical Texts via Relation BERT.
RIVF
Dinh Phuong Nguyen, Tu Bao Ho
2019 J jnl
Extraction of Temporal Information from Clinical Narratives.
J. Heal. Informatics Res.
Gandhimathi Moharasan, Tu Bao Ho
2019 J jnl
Learning and recommending treatments using electronic medical records.
Knowl. Based Syst.
Khanh Hung Hoang, Tu Bao Ho
2019 J jnl
Rule-Based Polarity Aggregation Using Rhetorical Structures for Aspect-Based Sentiment Analysis.
Int. J. Knowl. Syst. Sci.
Nuttapong Sanglerdsinlapachai, Anon Plangprasopchok, Tu Bao Ho, Ekawit Nantajeewarawat
2018 — conf
Learning Treatment Regimens from Electronic Medical Records.
PAKDD (1)
Khanh Hung Hoang, Tu Bao Ho
2018 J jnl
Learning Treatment Regimens from Electronic Medical Records.
CoRR
Khanh Hung Hoang, Tu Bao Ho
2018 J jnl
Semantic term weighting for clinical texts.
Expert Syst. Appl.
Ryosuke Matsuo, Tu Bao Ho
2017 J jnl
Accelerated anti-lopsided algorithm for nonnegative least squares.
Int. J. Data Sci. Anal.
Duy Khuong Nguyen, Tu Bao Ho
2017 J jnl
Accelerated parallel and distributed algorithm using limited internal memory for nonnegative matrix factorization.
J. Glob. Optim.
Duy Khuong Nguyen, Tu Bao Ho
2017 — conf
Extraction of Temporal Events from Clinical Text Using Semi-supervised Conditional Random Fields.
DMBD
Gandhimathi Moharasan, Tu Bao Ho
2016 — conf
A semi-supervised approach for temporal information extraction from clinical text.
RIVF
Gandhimathi Moharasan, Tu Bao Ho
2016 C conf
Abbreviation Identification in Clinical Notes with Level-wise Feature Engineering and Supervised Learning.
PKAW
Thi Ngoc Chau Vo, Tru Hoang Cao, Tu Bao Ho
2016 J jnl
Fast Parallel Randomized Algorithm for Nonnegative Matrix Factorization with KL Divergence for Large Sparse Datasets.
CoRR
Duy Khuong Nguyen, Tu Bao Ho
2016 J jnl
Introduction: special issue of selected papers from ACML 2014.
Mach. Learn.
Hang Li, Dinh Q. Phung, Tru H. Cao, Tu Bao Ho, Zhi-Hua Zhou
2016 — conf
Simplicial Nonnegative Matrix Tri-factorization: Fast Guaranteed Parallel Algorithm.
ICONIP (2)
Duy Khuong Nguyen, Quoc Tran-Dinh, Tu Bao Ho
2015 J jnl
A semi-supervised tensor regression model for siRNA efficacy prediction.
BMC Bioinform.
Bui Thang Ngoc, Tu Bao Ho, Tatsuo Kanda
2015 J jnl
Accelerated Parallel and Distributed Algorithm using Limited Internal Memory for Nonnegative Matrix Factorization.
CoRR
Duy Khuong Nguyen, Tu Bao Ho
2015 — ed.
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
PAKDD (1)
Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda
2015 — ed.
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
PAKDD (2)
Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda
2015 J jnl
Introduction: special issue of selected papers of ACML 2013.
Mach. Learn.
Cheng Soon Ong, Wray L. Buntine, Tu Bao Ho, Masashi Sugiyama, Geoffrey I. Webb
2015 J jnl
The Effects of a Knowledge Management-Based Model for Teacher Professional Development in Hands-On Approach.
Int. J. Knowl. Syst. Sci.
Thang Vinh Ho, Yoshiteru Nakamori, Tu Bao Ho, Sy-Duc Nguyen
2015 — ed.
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
PAKDD Workshops
Xiaoli Li, Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda
2014 J jnl
A nucleosomal approach to inferring causal relationships of histone modifications.
BMC Genom.
Ngoc Tu Le, Tu Bao Ho, Bich Hai Ho, Dang Tran
2014 — ed.
Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I
PAKDD (1)
Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao
2014 — ed.
Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II
PAKDD (2)
Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao
2014 J jnl
An effective framework for supervised dimension reduction.
Neurocomputing
Khoat Than, Tu Bao Ho, Duy Khuong Nguyen
2014 J jnl
Modeling the diversity and log-normality of data.
Intell. Data Anal.
Khoat Than, Tu Bao Ho
2014 — ed.
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
PAKDD Workshops
Wen-Chih Peng, Haixun Wang, James Bailey, Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen
2013 — conf
A Descriptive Method for Generating siRNA Design Rules.
ACIIDS (2)
Bui Thang Ngoc, Tu Bao Ho, Saori Kawasaki
2013 J jnl
A Semi-Supervised Ensemble Learning Method for Finding Discriminative Motifs and its Application.
J. Univers. Comput. Sci.
Thi Nhan Le, Tu Bao Ho, Saori Kawasaki, Tatsuo Kanda, Katsuhiko Takabayashi, Shuang Wu, Osamu Yokosuka
2013 C ed.
Asian Conference on Machine Learning, ACML 2013, Canberra, ACT, Australia, November 13-15, 2013
ACML
Cheng Soon Ong, Tu Bao Ho
2013 J jnl
Computational Reconstruction of Transcriptional Relationships from ChIP-Chip Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ngoc Tu Le, Tu Bao Ho, Bich Hai Ho
2013 J jnl
Probable convexity and its application to Correlated Topic Models.
CoRR
Khoat Than, Tu Bao Ho
2013 — conf
Simplicial nonnegative matrix factorization.
RIVF
Duy Khuong Nguyen, Khoat Than, Tu Bao Ho
2012 — conf
A Semi-Supervised Method for Discriminative Motif Finding and Its Application to Hepatitis C Virus Study.
ACIIDS (1)
Thi Nhan Le, Tu Bao Ho
2012 J jnl
Advances in information and knowledge systems.
J. Ambient Intell. Humaniz. Comput.
Tu Bao Ho, Patrick Bellot, Tru H. Cao
2012 — conf
Bayesian Network Analysis of Relationships between Nucleosome Dynamics and Transcriptional Regulatory Factors.
BIOINFORMATICS
Bich Hai Ho, Ngoc Tu Le, Tu Bao Ho
2012 — conf
Fully Sparse Topic Models.
ECML/PKDD (1)
Khoat Than, Tu Bao Ho
2012 J jnl
Managing sparsity, time, and quality of inference in topic models
CoRR
Khoat Than, Tu Bao Ho
2012 — conf
Multivariate Mutual Information Measures for Discovering Biological Networks.
RIVF
Tho Hoan Pham, Tu Bao Ho, Quynh Diep Nguyen, Dang Hung Tran, Van Hoang Nguyen
2012 J jnl
Quantitatively assessing the effects of regulatory factors on nucleosome dynamics by multiple kernel learning.
J. Ambient Intell. Humaniz. Comput.
Bich Hai Ho, Ngoc Tu Le, Tu Bao Ho
2012 C conf
Supervised dimension reduction with topic models.
ACML
Khoat Than, Tu Bao Ho, Duy Khuong Nguyen, Pham Ngoc Khanh
2011 — conf
A Distributed Solution for Privacy Preserving Outlier Detection.
KSE
The Dung Luong, Tu Bao Ho
2011 J jnl
MicroRNA Expression Profiles for Classification and Analysis of Tumor Samples.
IEICE Trans. Inf. Syst.
Dang Hung Tran, Tu Bao Ho, Tho Hoan Pham, Kenji Satou
2011 C conf
Reconstruction of Histone Modification Network from Next-generation Sequencing Data.
BIBE
Ngoc Tu Le, Tu Bao Ho
2011 A* conf
Simulation-Based Data Mining Solution to the Structure of Water Surrounding Proteins.
IJCAI
Hieu-Chi Dam, Tu Bao Ho, Ayumu Sugiyama
2010 — conf
Discovering Relationship between Hepatitis C Virus NS5A Protein and Interferon/Ribavirin Therapy.
KICSS
Saori Kawasaki, Tu Bao Ho, Tatsuo Kanda, Osamu Yokosuka, Katsuhiro Takabayashi, Nhan Le
2010 J jnl
Editorial.
Intell. Data Anal.
Tu Bao Ho, Zhi-Hua Zhou, Hiroshi Motoda
2010 — conf
Mining Parallel Documents across Web Sites.
AIRS
Pham Ngoc Khanh, Tu Bao Ho
2010 J jnl
Privacy Preserving Frequency Mining in 2-Part Fully Distributed Setting.
IEICE Trans. Inf. Syst.
The Dung Luong, Tu Bao Ho
2010 — conf
Quantitatively Assessing the Effects of Regulatory Factors on Nucleosome Dynamics by Multiple Kernel Learning.
RIVF
Bich Hai Ho, Ngoc Tu Le, Tu Bao Ho
2009 B ed.
Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings
PAKDD
Thanaruk Theeramunkong, Boonserm Kijsirikul, Nick Cercone, Tu Bao Ho
2009 — conf
An Empirical Study of Vietnamese Noun Phrase Chunking with Discriminative Sequence Models.
ALR7@IJCNLP
Le Minh Nguyen, Huong Thao Nguyen, Phuong-Thai Nguyen, Tu Bao Ho, Akira Shimazu
2009 J jnl
Improving effectiveness of mutual information for substantival multiword expression extraction.
Expert Syst. Appl.
Wen Zhang, Taketoshi Yoshida, Xijin Tang, Tu Bao Ho
2009 — conf
Parallel Method for Mining High Utility Itemsets from Vertically Partitioned Distributed Databases.
KES (1)
Bay Vo, Huy Nguyen, Tu Bao Ho, Bac Le
2009 J jnl
Preface.
Int. J. Softw. Informatics
Tu Bao Ho, Zhi-Hua Zhou, Hiroshi Motoda
2009 — conf
Privacy Preserving EM-Based Clustering.
RIVF
The Dung Luong, Tu Bao Ho
2008 B conf
A Tree-to-String Phrase-based Model for Statistical Machine Translation.
CoNLL
Thai Phuong Nguyen, Akira Shimazu, Tu Bao Ho, Minh Le Nguyen, Vinh Van Nguyen
2008 J jnl
An Integrative Domain-Based Approach to Predicting protein-protein Interactions.
J. Bioinform. Comput. Biol.
Thanh Phuong Nguyen, Tu Bao Ho
2008 — ch.
An Overview on the Approximation Quality Based on Rough-Fuzzy Hybrids.
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models
Van-Nam Huynh, Tu Bao Ho, Yoshiteru Nakamori
2008 J jnl
An efficient kernel matrix evaluation measure.
Pattern Recognit.
Canh Hao Nguyen, Tu Bao Ho
2008 — ch.
Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity.
Interval / Probabilistic Uncertainty and Non-Classical Logics
Canh Hao Nguyen, Tu Bao Ho, Vladik Kreinovich
2008 J jnl
Finding microRNA regulatory modules in human genome using rule induction.
BMC Bioinform.
Dang Hung Tran, Kenji Satou, Tu Bao Ho
2008 B ed.
PRICAI 2008: Trends in Artificial Intelligence, 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008. Proceedings
PRICAI
Tu Bao Ho, Zhi-Hua Zhou
2008 — conf
Simple but effective methods for combining kernels in computational biology.
RIVF
Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki
2007 J jnl
A Hyper-Heuristic for Descriptive Rule Induction.
Int. J. Data Warehous. Min.
Tho Hoan Pham, Tu Bao Ho
2007 — conf
A Semi-supervised Learning Approach to Disease Gene Prediction.
BIBM
Thanh Phuong Nguyen, Tu Bao Ho
2007 J jnl
Active Mining.
New Gener. Comput.
Masayuki Numao, Tu Bao Ho
2007 J jnl
An agent-based approach to solve dynamic meeting scheduling problems with preferences.
Eng. Appl. Artif. Intell.
Ahlem Ben Hassine, Tu Bao Ho
2007 J jnl
Decision making under uncertainty with fuzzy targets.
Fuzzy Optim. Decis. Mak.
Van-Nam Huynh, Yoshiteru Nakamori, Mina Ryoke, Tu Bao Ho
2007 J jnl
Exploiting Temporal Relations in Mining Hepatitis Data.
New Gener. Comput.
Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Si Quang Le, Katsuhiko Takabayashi
2007 J jnl
Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining.
IEICE Trans. Inf. Syst.
Tu Bao Ho, Saori Kawasaki, Katsuhiko Takabayashi, Canh Hao Nguyen
2007 A* conf
Kernel Matrix Evaluation.
IJCAI
Canh Hao Nguyen, Tu Bao Ho
2007 — ch.
Knowledge Acquisition by Machine Learning and Data Mining.
Creative Environments
Tu Bao Ho, Saori Kawasaki, Janusz Granat
2007 C conf
Prediction of Histone Modifications in DNA sequences.
BIBE
Tho Hoan Pham, Tu Bao Ho, Dang Hung Tran, Kenji Satou
2007 — conf
Temporal Abstraction and Data Mining with Visualization of Laboratory Data.
MedInfo
Katsuhiko Takabayashi, Tu Bao Ho, Hideto Yokoi, Trong Dung Nguyen, Saori Kawasaki, Si Quang Le, Takahiro Suzuki, Osamu Yokosuka
2007 B conf
Temporal Relations Extraction in Mining Hepatitis Data.
PAKDD
Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Katsuhiko Takabayashi
2006 J jnl
A bottom-up method for simplifying support vector solutions.
IEEE Trans. Neural Networks
DucDung Nguyen, Tu Bao Ho
2006 B conf
Association-Based Dissimilarity Measures for Categorical Data: Limitation and Improvement.
PAKDD
Si Quang Le, Tu Bao Ho, Le Sy Vinh
2006 J jnl
Combining the Global and Partial Information for Distance-Based Time Series Classification and Clustering.
J. Adv. Comput. Intell. Intell. Informatics
Hui Zhang, Tu Bao Ho, Mao Song Lin, Wei Huang
2006 — conf
Conditional Random Fields for Predicting and Analyzing Histone Occupancy, Acetylation and Methylation Areas in DNA Sequences.
EvoWorkshops
Dang Hung Tran, Tho Hoan Pham, Kenji Satou, Tu Bao Ho
2006 B conf
Detecting Citation Types Using Finite-State Machines.
PAKDD
Minh-Hoang Le, Tu Bao Ho, Yoshiteru Nakamori
2006 — conf
Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients.
ISNN (1)
Hui Zhang, Tu Bao Ho, Mao Song Lin, Xuefeng Liang
2006 J jnl
Improving discriminative sequential learning by discovering important association of statistics.
ACM Trans. Asian Lang. Inf. Process.
Xuan Hieu Phan, Le Minh Nguyen, Yasushi Inoguchi, Tu Bao Ho, Susumu Horiguchi
2006 — conf
Knowledge visualization in hepatitis study.
APVIS
DucDung Nguyen, Tu Bao Ho, Saori Kawasaki
2006 J jnl
Meetings scheduling solver enhancement with local consistency reinforcement.
Appl. Intell.
Ahlem Ben Hassine, Tu Bao Ho, Takayuki Ito
2006 J jnl
Multiple-attribute decision making under uncertainty: the evidential reasoning approach revisited.
IEEE Trans. Syst. Man Cybern. Part A
Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho, Tetsuya Murai
2006 B conf
Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases.
Discovery Science
Thanh Phuong Nguyen, Tu Bao Ho
2006 J jnl
Unsupervised Feature Extraction for Time Series Clustering Using Orthogonal Wavelet Transform.
Informatica (Slovenia)
Hui Zhang, Tu Bao Ho, Yang Zhang, Mao Song Lin
2006 — conf
Utility Function Induced by Fuzzy Target in Probabilistic Decision Making.
RSCTC
Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho
2005 C conf
A Scheduling Method for Divisible Workload Problem in Grid Environments.
PDCAT
Nguyen The Loc, Said Elnaffar, Takuya Katayama, Tu Bao Ho
2005 B ed.
Advances in Knowledge Discovery and Data Mining, 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings
PAKDD
Tu Bao Ho, David Wai-Lok Cheung, Huan Liu
2005 — conf
An Extension of Rough Approximation Quality to Fuzzy Classification.
RSFDGrC (1)
Van-Nam Huynh, Tetsuya Murai, Tu Bao Ho, Yoshiteru Nakamori
2005 — conf
An Imbalanced Data Rule Learner.
PKDD
Canh Hao Nguyen, Tu Bao Ho
2005 J jnl
An association-based dissimilarity measure for categorical data.
Pattern Recognit. Lett.
Si Quang Le, Tu Bao Ho
2005 A* conf
An efficient method for simplifying support vector machines.
ICML
DucDung Nguyen, Tu Bao Ho
2005 J jnl
Automated data extraction from the web with conditional models.
Int. J. Bus. Intell. Data Min.
Xuan Hieu Phan, Susumu Horiguchi, Tu Bao Ho
2005 — conf
Blind Feature Extraction for Time-Series Classification Using Haar Wavelet Transform.
ISNN (2)
Hui Zhang, Tu Bao Ho, Wei Huang
2005 — conf
Classification with Maximum Entropy Modeling of Predictive Association Rules.
ECML
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi, Tu Bao Ho, Yasushi Inoguchi
2005 — conf
Computational discovery of transcriptional regulatory rules.
ECCB/JBI
Tho Hoan Pham, José Carlos Clemente, Kenji Satou, Tu Bao Ho
2005 — conf
Finding The Clustering Consensus of Time Series with Multi-Scale Transform.
WSTST
Hui Zhang, Tu Bao Ho
2005 A* conf
Improving discriminative sequential learning with rare--but--important associations.
KDD
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu Horiguchi
2005 Misc conf
Speeding-up Model Selection for Support Vector Machines.
FLAIRS
DucDung Nguyen, Tu Bao Ho
2005 J jnl
Support Vector Machines for Prediction and Analysis of Beta and Gamma-turns in Proteins.
J. Bioinform. Comput. Biol.
Tho Hoan Pham, Kenji Satou, Tu Bao Ho
2005 — conf
Using Inductive Logic Programming for Predicting Protein-Protein Interactions from Multiple Genomic Data.
PKDD
Tuan Nam Tran, Kenji Satou, Tu Bao Ho
2004 B conf
A Conditional Probability Distribution-Based Dissimilarity Measure for Categorial Data.
PAKDD
Si Quang Le, Tu Bao Ho
2004 — conf
A New Approach to Belief Modeling.
FoIKS
Van-Nam Huynh, Yoshiteru Nakamori, Tetsuya Murai, Tu Bao Ho
2004 B conf
A Non-parametric Wavelet Feature Extractor for Time Series Classification.
PAKDD
Hui Zhang, Tu Bao Ho, Mao Song Lin
2004 J jnl
A context model for fuzzy concept analysis based upon modal logic.
Inf. Sci.
Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho, Germano Resconi
2004 A conf
Agent-Based Approach to Dynamic Meeting Scheduling Problems.
AAMAS
Ahlem Ben Hassine, Xavier Défago, Tu Bao Ho
2004 — conf
Assessment Aggregation in the Evidential Reasoning Approach to MADM Under Uncertainty: Orthogonal Versus Weighted Sum.
ASIAN
Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho
2004 J jnl
Example-based sentence reduction using the hidden markov model.
ACM Trans. Asian Lang. Inf. Process.
Minh Le Nguyen, Susumu Horiguchi, Akira Shimazu, Tu Bao Ho
2004 B conf
Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach.
Discovery Science
Si Quang Le, Tu Bao Ho
2004 C conf
New Distributed Filtering-Consistency Approach to General Networks.
IEA/AIE
Ahlem Ben Hassine, Khaled Ghédira, Tu Bao Ho
2004 — conf
PEWeb: Product Extraction from the Web Based on Entropy Estimation.
Web Intelligence
Xuan Hieu Phan, Susumu Horiguchi, Tu Bao Ho
2004 B conf
Probabilistic Sentence Reduction Using Support Vector Machines.
COLING
Minh Le Nguyen, Akira Shimazu, Susumu Horiguchi, Tu Bao Ho, Masaru Fukushi
2004 C conf
Scheduling Meetings with Distributed Local Consistency Reinforcement.
IEA/AIE
Ahlem Ben Hassine, Takayuki Ito, Tu Bao Ho
2003 J jnl
A Knowledge Discovery System with Support for Model Selection and Visualization.
Appl. Intell.
Tu Bao Ho, Trong Dung Nguyen, Hiroshi Shimodaira, Masayuki Kimura
2003 — conf
A New Distributed Approach to Solve Meeting Scheduling Problems.
IAT
Ahlem Ben Hassine, Takayuki Ito, Tu Bao Ho
2003 B conf
Abstraction of Long-Term Changed Tests in Mining Hepatitis Data.
KES
Saori Kawasaki, Tu Bao Ho, Trong Dung Nguyen
2003 J jnl
Chance Discovery and Learning Minority Classes.
New Gener. Comput.
Tu Bao Ho, DucDung Nguyen
2003 B conf
Discovery of Trends and States in Irregular Medical Temporal Data.
Discovery Science
Trong Dung Nguyen, Saori Kawasaki, Tu Bao Ho
2003 — ch.
Documents Clustering Using Tolerance Rough Set Model and Its Application to Information Retrieval.
Intelligent Exploration of the Web
Tu Bao Ho, Saori Kawasaki, Ngoc Binh Nguyen
2003 C conf
Fuzziness and Uncertainty within the Framework of Context Model.
IFSA
Van-Nam Huynh, Mina Ryoke, Yoshiteru Nakamori, Tu Bao Ho
2003 A* conf
Mining hepatitis data with temporal abstraction.
KDD
Tu Bao Ho, Trong Dung Nguyen, Saori Kawasaki, Si Quang Le, DucDung Nguyen, Hideto Yokoi, Katsuhiko Takabayashi
2003 J jnl
Temporal Abstraction for Long-Term Test Changes in the Hepatitis Domain.
J. Adv. Comput. Intell. Intell. Informatics
Saori Kawasaki, Trong Dung Nguyen, Tu Bao Ho
2003 — conf
Temporal decomposition: a promising approach to VQ-based speaker identification.
ICASSP (1)
Phu Chien Nguyen, Masato Akagi, Tu Bao Ho
2003 A conf
Temporal decomposition: a promising approach to VQ-based speaker identification.
ICME
Phu Chien Nguyen, Masato Akagi, Tu Bao Ho
2002 — conf
A Context Model for Constructing Membership Functions of Fuzzy Concepts Based on Modal Logic.
FoIKS
Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho, Germano Resconi
2002 — conf
A User-Centered Visual Approach to Data Mining: The System D2MS.
IIP
Tu Bao Ho, Trong Dung Nguyen, DucDung Nguyen
2002 J jnl
A parametric representation of linguistic hedges in Zadeh's fuzzy logic.
Int. J. Approx. Reason.
Van-Nam Huynh, Tu Bao Ho, Yoshiteru Nakamori
2002 B conf
Cluster-Based Algorithms for Dealing with Missing Values.
PAKDD
Yoshikazu Fujikawa, Tu Bao Ho
2002 J jnl
Cluster-based Information Retrieval with Tolerance Rough Set Model.
Int. J. Fuzzy Log. Intell. Syst.
Tu Bao Ho, Saori Kawasaki, Ngoc Binh Nguyen
2002 — conf
Data and Knowledge Visualization in Knowledge Discovery Process.
VISUAL
Trong Dung Nguyen, Tu Bao Ho, DucDung Nguyen
2002 J jnl
Nonhierarchical document clustering based on a tolerance rough set model.
Int. J. Intell. Syst.
Tu Bao Ho, Ngoc Binh Nguyen
2002 — conf
Visualization method and tool for interactive learning of large decision trees.
Data Mining and Knowledge Discovery: Theory, Tools, and Technology
Trong Dung Nguyen, Tu Bao Ho
2002 A* conf
Visualization support for a user-centered KDD process.
KDD
Tu Bao Ho, Trong Dung Nguyen, DucDung Nguyen
2001 B conf
A Scalable Algorithm for Rule Post-pruning of Large Decision Trees.
PAKDD
Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira
2001 — conf
Extracting Meningitis Knowledge by Integration of Rule Induction and Association Mining.
JSAI Workshops
Tu Bao Ho, Saori Kawasaki, DucDung Nguyen
2001 — conf
Mining Prediction Rules from Minority Classes.
INAP
Tu Bao Ho, DucDung Nguyen, Saori Kawasaki
2001 J jnl
Visualization Support for User-Centered Model Selection in Knowledge Discovery and Data Mining.
Int. J. Artif. Intell. Tools
Tu Bao Ho, Trong Dung Nguyen, DucDung Nguyen, Saori Kawasaki
2001 B conf
Visualization Support for User-Centered Model Selection in Knowledge Discovery in Databases.
ICTAI
Tu Bao Ho, Trong Dung Nguyen
2000 — conf
A Mixed Similarity Measure in Near-Linear Computational Complexity for Distance-Based Methods.
PKDD
Ngoc Binh Nguyen, Tu Bao Ho
2000 B conf
A visualization tool for interactive learning of large decision trees.
ICTAI
Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira
2000 — conf
Hierarchical Document Clustering Based on Tolerance Rough Set Model.
PKDD
Saori Kawasaki, Ngoc Binh Nguyen, Tu Bao Ho
2000 B conf
Interactive Visualization in Mining Large Decision Trees.
PAKDD
Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira
1999 B conf
Study of a Mixed Similarity Measure for Classification and Clustering.
PAKDD
Tu Bao Ho, Ngoc Binh Nguyen, Takafumi Morita
1999 C conf
Two approaches to the Representation and Interpretation of Concept Lattices.
EJC
Tu Bao Ho
1998 B conf
Development of Some Methods and Tools for Discovering Conceptual Knowledge.
Discovery Science
Tu Bao Ho, Trong Dung Nguyen, Ngoc Binh Nguyen, Takuyu Ito
1998 — conf
Interactive Visualization for Predictive Modelling with Decision Tree Induction.
PKDD
Tu Bao Ho, Trong Dung Nguyen
1997 J jnl
Discovering and using knowledge from unsupervised data.
Decis. Support Syst.
Tu Bao Ho
1997 — conf
Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results.
IJCAI (1)
Tu Bao Ho, Chi Mai Luong
1996 — conf
Automation in knowledge engineering via inductive learning.
IFIP World Conference on IT Tools
Tu Bao Ho
1996 B conf
Combining Views on Concepts in Unsupervised Concept Learning.
PRICAI
Tu Bao Ho
1996 C conf
Evaluation of Attribute Selection Measures in Decision Tree Induction.
IEA/AIE
Tu Bao Ho, Trong Dung Nguyen
1995 J jnl
An Approach to Concept Formation Based on Formal Concept Analysis.
IEICE Trans. Inf. Syst.
Tu Bao Ho
1994 B conf
A Method for Organizing Knowledge Bases in the Hierarchical Form.
ICTAI
Tu Bao Ho
1989 — conf
Expert Systems in Higher Education - Advanced Techniques in the System OREST.
Artificial Intelligence in Higher Education
Tu Bao Ho, Doan Ngoc Lien
1988 J jnl
Generating rules for expert systems from observations.
Pattern Recognit. Lett.
Tu Bao Ho, Edwin Diday, Mireille Gettler-Summa