Tu Bao Ho

Xavier Défago, Tu Bao Ho, Ahlem Ben Hassine, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

Speeding-up Model Selection for Support Vector Machines

Tu Bao Ho, DucDung Nguyen, 2005, FLAIRS Conference.

Advances in Knowledge Discovery and Data Mining

Tu Bao Ho, Vincent S. Tseng, Hung-Yu Kao, 2014, Lecture Notes in Computer Science.

Induction of Decision Trees Based on the Rough Set Theory

Tu Bao Ho, Masayuki Kimura, Trong Dung Nguyen, 1998 .

Detecting Citation Types Using Finite-State Machines

Yoshiteru Nakamori, Tu Bao Ho, Minh-Hoang Le, 2006, PAKDD.

Latent Dirichlet Allocationを用いた顔表情からの教師なし学習(バイオメトリクス,一般)

Tu Bao Ho, Prarinya Siritanawan, 小谷一孔, 2014 .

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Wei Luo, John Yearwood, Tu Bao Ho, 2016, Journal of medical Internet research.

An Imbalanced Data Rule Learner

Tu Bao Ho, Canh Hao Nguyen, 2005, PKDD.

New distributed filtering-consistency approach to general networks

Tu Bao Ho, Ahlem Ben Hassine, Khaled Ghedira, 2004 .

Prediction of Protein-Protein Interactions Using Bayesian Networks

Thanh Phuong Nguyen, Tu Bao Ho, Ngoc Binh Nguyen, 2007 .

Temporal Relations Extraction in Mining Hepatitis Data

Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, 2007, PAKDD.

A Hyper-Heuristic for Descriptive Rule Induction

Tu Bao Ho, Tho Hoan Pham, 2007, Int. J. Data Warehous. Min..

Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach

Tu Bao Ho, Si Quang Le, T. Ho, 2004, Discovery Science.

Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases

Thanh Phuong Nguyen, Tu Bao Ho, 2006, Discovery Science.

Visualization method and tool for interactive learning of large decision trees

Tu Bao Ho, Trong Dung Nguyen, 2002, SPIE Defense + Commercial Sensing.

Example-based sentence reduction using the hidden markov model

Akira Shimazu, Susumu Horiguchi, Minh Le Nguyen, 2004, TALIP.

Quantitatively assessing the effects of regulatory factors on nucleosome dynamics by multiple kernel learning

Tu Bao Ho, Ngoc Tu Le, Bich Hai Ho, 2010, Journal of Ambient Intelligence and Humanized Computing.

Computational discovery of transcriptional regulatory rules

Tu Bao Ho, Kenji Satou, Tho Hoan Pham, 2005, ECCB/JBI.

A visualization tool for interactive learning of large decision trees

Tu Bao Ho, Hiroshi Shimodaira, Trong Dung Nguyen, 2000, Proceedings 12th IEEE Internationals Conference on Tools with Artificial Intelligence. ICTAI 2000.

Multivariate Mutual Information Measures for Discovering Biological Networks

Tu Bao Ho, Dang Hung Tran, Tho Hoan Pham, 2012, 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future.

Hierarchical Document Clustering Based on Tolerance Rough Set Model

Tu Bao Ho, Ngoc Binh Nguyen, Saori Kawasaki, 2000, PKDD.

Improving discriminative sequential learning by discovering important association of statistics

Susumu Horiguchi, Minh Le Nguyen, Tu Bao Ho, 2006, TALIP.

An Empirical Study of Vietnamese Noun Phrase Chunking with Discriminative Sequence Models

Akira Shimazu, Minh Le Nguyen, Tu Bao Ho, 2009, ALR7@IJCNLP.

A generator of expert systems based on object–rule knowledge representation

Tu Bao Ho, Ngoc Khoi Pham, Ngoc Lien Doan, 2014 .

Automation in knowledge engineering via inductive learning

Tu Bao Ho, 1996, IFIP World Conference on IT Tools.

Discovery of Trends and States in Irregular Medical Temporal Data

Tu Bao Ho, Saori Kawasaki, Trong Dung Nguyen, 2003, Discovery Science.

Restricted Path Consistency Enforcement for any Constraint Network (Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining) -- (Session 3: Artificial Intelligence)

Tu Bao Ho, Ahlem Ben Hassine, 2004 .

A semi-supervised approach for temporal information extraction from clinical text

Tu Bao Ho, Gandhimathi Moharasan, T. Ho, 2016, 2016 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF).

Visualization Support for User-Centered Model Selection in Knowledge Discovery and Data Mining

Tu Bao Ho, DucDung Nguyen, Saori Kawasaki, 2001, Int. J. Artif. Intell. Tools.

Using Inductive Logic Programming for Predicting Protein-Protein Interactions from Multiple Genomic Data

Tu Bao Ho, Kenji Satou, Tuan Nam Tran, 2005, PKDD.

General chairs’ preface

Geoffrey I. Webb, Tu Bao Ho, T. Ho, 2018 .

Combining Temporal Abstraction and Data Mining Methods in Medical Data Analysis

Tu Bao Ho, Saori Kawasaki, Si Quang Le, 2005 .

for categorical data

Tu Bao Ho, Si Quang Le, T. Ho, 2005 .

Discovering signal transduction networks using signaling domain-domain interactions.

Thanh Phuong Nguyen, Tu Bao Ho, T. Ho, 2006, Genome informatics. International Conference on Genome Informatics.

A Context Model for Constructing Membership Functions of Fuzzy Concepts Based on Modal Logic

Germano Resconi, Van-Nam Huynh, Yoshiteru Nakamori, 2002, FoIKS.

A hybrid model for concept formation

Tu Bao Ho, 1996 .

An Integrative Domain-Based Approach to Predicting protein-protein Interactions

Thanh Phuong Nguyen, Tu Bao Ho, T. Ho, 2008, J. Bioinform. Comput. Biol..

Documents Clustering Using Tolerance Rough Set Model and Its Application to Information Retrieval

Tu Bao Ho, Ngoc Binh Nguyen, Saori Kawasaki, 2003, Intelligent Exploration of the Web.

Mining hepatitis data with temporal abstraction

Tu Bao Ho, DucDung Nguyen, Saori Kawasaki, 2003, KDD '03.

Introduction: special issue of selected papers of ACML 2013

Geoffrey I. Webb, Masashi Sugiyama, Cheng Soon Ong, 2015, Machine Learning.

Supervised dimension reduction with topic models

Tu Bao Ho, Khoat Than, Pham Ngoc Khanh, 2012, ACML.

Inference in topic models: sparsity and trade-off

Tu Bao Ho, Khoat Than, T. Ho, 2015, 1512.03300.

Using Inductive Logic Programming for Predicting Protein-Protein Interactions--Some Preliminary Results (Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining) -- (Session 13: Artificial Intelligence 3)

Tu Bao Ho, Tuan Nam Tran, 2004 .

Learning Treatment Regimens from Electronic Medical Records

Tu Bao Ho, Khanh Hung Hoang, T. Ho, 2018, PAKDD.

Support Vector Machines for Prediction and Analysis of Beta and Gamma-turns in Proteins

Tu Bao Ho, Kenji Satou, Tho Hoan Pham, 2005, J. Bioinform. Comput. Biol..

Asynchronous Constraint-Based Approach: New Solution for any Constraint Problem

Tu Bao Ho, Ahlem Ben Hassine, 2008 .

New Distributed Filtering-Consistency Approach to General Networks

Khaled Ghédira, Tu Bao Ho, Ahlem Ben Hassine, 2004, IEA/AIE.

Simplicial Nonnegative Matrix Tri-factorization: Fast Guaranteed Parallel Algorithm

Tu Bao Ho, Quoc Tran-Dinh, Duy Khuong Nguyen, 2016, ICONIP.

Rule-Based Polarity Aggregation Using Rhetorical Structures for Aspect-Based Sentiment Analysis

Tu Bao Ho, Ekawit Nantajeewarawat, Anon Plangprasopchok, 2019, Int. J. Knowl. Syst. Sci..

Constructing Signal Transduction Networks Using Multiple Signaling Feature Data

Thanh Phuong Nguyen, Tu Bao Ho, Kenji Satou, 2008 .

Computational Reconstruction of Transcriptional Relationships from ChIP-Chip Data

Tu Bao Ho, Ngoc Tu Le, Bich Hai Ho, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Nonhierarchical document clustering based on a tolerance rough set model

Tu Bao Ho, Ngoc Binh Nguyen, T. Ho, 2002, Int. J. Intell. Syst..

Abstraction of Long-Term Changed Tests in Mining Hepatitis Data

Tu Bao Ho, Saori Kawasaki, Trong Dung Nguyen, 2003, KES.

Generating rules for expert systems from observations

Edwin Diday, Tu Bao Ho, Mireille Gettler-Summa, 1988, Pattern Recognit. Lett..

Utility Function Induced by Fuzzy Target in Probabilistic Decision Making

Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho, 2006, RSCTC.

An efficient approach for secure multi-party computation without authenticated channel

Tu Bao Ho, The-Dung Luong, Duy-Hien Vu, 2020, Inf. Sci..

Data and Knowledge Visualization in Knowledge Discovery Process

Tu Bao Ho, DucDung Nguyen, Trong Dung Nguyen, 2002, VISUAL.

Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining

Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, 2007, IEICE Trans. Inf. Syst..

A bottom-up method for simplifying support vector solutions

Tu Bao Ho, DucDung Nguyen, T. Ho, 2006, IEEE Transactions on Neural Networks.

Probable convexity and its application to Correlated Topic Models pdf

Tu Bao Ho, Khoat Than, T. Ho, 2013, ArXiv.

Reconstruction of Histone Modification Network from Next-generation Sequencing Data

Tu Bao Ho, Ngoc Tu Le, T. Ho, 2011, 2011 IEEE 11th International Conference on Bioinformatics and Bioengineering.

Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings

Boonserm Kijsirikul, Tu Bao Ho, Thanaruk Theeramunkong, 2009, PAKDD.

Fast Parallel Randomized Algorithm for Nonnegative Matrix Factorization with KL Divergence for Large Sparse Datasets pdf

Tu Bao Ho, Duy Khuong Nguyen, 2016, ArXiv.

Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity

Vladik Kreinovich, Tu Bao Ho, Canh Hao Nguyen, 2008, Interval / Probabilistic Uncertainty and Non-Classical Logics.

An effective framework for supervised dimension reduction

Tu Bao Ho, Khoat Than, Duy Khuong Nguyen, 2014, Neurocomputing.

Managing sparsity, time, and quality of inference in topic models pdf

Tu Bao Ho, Khoat Than, 2012, ArXiv.

Rule Induction in Constructing Knowledge-Based Decision Support

Tu Bao Ho, 2002 .

Assessment Aggregation in the Evidential Reasoning Approach to MADM Under Uncertainty: Orthogonal Versus Weighted Sum

Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho, 2004, ASIAN.

An Approach to Concept Formation Based on Formal Concept Analysis

Tu Bao Ho, T. Ho, 1995, IEICE Trans. Inf. Syst..

Knowledge visualization in hepatitis study

Tu Bao Ho, DucDung Nguyen, Saori Kawasaki, 2006, APVIS.

Study of a Mixed Similarity Measure for Classification and Clustering

Tu Bao Ho, Ngoc Binh Nguyen, Takafumi Morita, 1999, PAKDD.

Parallel Method for Mining High Utility Itemsets from Vertically Partitioned Distributed Databases

Huy Nguyen, Tu Bao Ho, Bay Vo, 2009, KES.

Quantitatively assessing the effects of regulatory factors on nucleosome dynamics by multiple kernel learning

Tu Bao Ho, Ngoc Tu Le, Bich Hai Ho, 2012, J. Ambient Intell. Humaniz. Comput..

Finding microRNA regulatory modules in human genome using rule induction

Tu Bao Ho, Kenji Satou, Dang Hung Tran, 2008, BMC Bioinformatics.

Accelerated parallel and distributed algorithm using limited internal memory for nonnegative matrix factorization

Tu Bao Ho, Duy Khuong Nguyen, T. Ho, 2015, J. Glob. Optim..

Kernel Matrix Evaluation

Tu Bao Ho, Canh Hao Nguyen, T. Ho, 2007, IJCAI.

Meetings scheduling solver enhancement with local consistency reinforcement

Takayuki Ito, Tu Bao Ho, Ahlem Ben Hassine, 2006, Applied Intelligence.

Extraction of Temporal Information from Clinical Narratives

Tu Bao Ho, Gandhimathi Moharasan, T. Ho, 2019, Journal of Healthcare Informatics Research.

Discovering and using knowledge from unsupervised data

Tu Bao Ho, T. Ho, 1997, Decis. Support Syst..

PEWeb: Product Extraction from the Web Based on Entropy Estimation

Susumu Horiguchi, Tu Bao Ho, Xuan Hieu Phan, 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).

Unsupervised Concept Learning Using Rough Concept Analysis

Tu Bao Ho, 1998 .

A Semi-supervised Learning Approach to Disease Gene Prediction

Thanh Phuong Nguyen, Tu Bao Ho, T. Ho, 2007, 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007).

Temporal Abstraction for Long-Term Test Changes in the Hepatitis Domain

Tu Bao Ho, Saori Kawasaki, Trong Dung Nguyen, 2003, J. Adv. Comput. Intell. Intell. Informatics.

Mining Parallel Documents across Web Sites

Tu Bao Ho, Pham Ngoc Khanh, 2010, AIRS.

Temporal Logic in Mining Hepatitis Data

Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, 2004 .

Semantic term weighting for clinical texts

Tu Bao Ho, Ryosuke Matsuo, T. Ho, 2018, Expert Syst. Appl..

Visualization support for user-centered model selection in knowledge discovery in databases

Tu Bao Ho, Trong Dung Nguyen, 2001, Proceedings 13th IEEE International Conference on Tools with Artificial Intelligence. ICTAI 2001.

Combining the Global and Partial Information for Distance-Based Time Series Classification and Clustering

Hui Zhang, Wei Huang, Tu Bao Ho, 2006, J. Adv. Comput. Intell. Intell. Informatics.

Simulation-Based Data Mining Solution to the Structure of Water Surrounding Proteins

Tu Bao Ho, Hieu-Chi Dam, Ayumu Sugiyama, 2011, IJCAI.

Multiple-attribute decision making under uncertainty: the evidential reasoning approach revisited

Tetsuya Murai, Van-Nam Huynh, Yoshiteru Nakamori, 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Fully Sparse Topic Models

Tu Bao Ho, Khoat Than, T. Ho, 2012, ECML/PKDD.

Simplicial nonnegative matrix factorization

Tu Bao Ho, Khoat Than, Duy Khuong Nguyen, 2013, The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF).

A novel graph-based similarity measure for 2D chemical structures.

Tu Bao Ho, Si Quang Le, T T Hang Phan, 2004, Genome informatics. International Conference on Genome Informatics.

A User-Centered Visual Approach to Data Mining: The System D2MS

Tu Bao Ho, DucDung Nguyen, Trong Dung Nguyen, 2002, Intelligent Information Processing.

Expert Systems in Higher Education - Advanced Techniques in the System OREST

Tu Bao Ho, Doan Ngoc Lien, T. Ho, 1989, Artificial Intelligence in Higher Education.

Temporal decomposition: a promising approach to VQ-based speaker identification

Tu Bao Ho, Masato Akagi, Phu Chien Nguyen, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Advances in information and knowledge systems

Tu Bao Ho, Patrick Bellot, Tru Cao, 2012, J. Ambient Intell. Humaniz. Comput..

An agent-based approach to solve dynamic meeting scheduling problems with preferences

Tu Bao Ho, Ahlem Ben Hassine, T. Ho, 2007, Eng. Appl. Artif. Intell..

Evaluation of Attribute Selection Measures in Decision Tree Induction

Tu Bao Ho, Trong Dung Nguyen, 1996, IEA/AIE.

Detecting Emerging Trends from Scientific Corpora (特集:「アクティブマイニング」および一般) -- (セッション2 アクティブマイニング:時系列データマイニング)

Yoshiteru Nakamori, Tu Bao Ho, Minh-Hoang Le, 2005 .

Simple but effective methods for combining kernels in computational biology

Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, 2008, 2008 IEEE International Conference on Research, Innovation and Vision for the Future in Computing and Communication Technologies.

Sequence-Based Measure for Assessing Drug-Side Effect Causal Relation from Electronic Medical Records

Tu Bao Ho, Tran-Thai Dang, T. Ho, 2017 .

Bayesian Network Analysis of Relationships between Nucleosome Dynamics and Transcriptional Regulatory Factors

Tu Bao Ho, Ngoc Tu Le, Bich Hai Ho, 2012, BIOINFORMATICS.

Prediction and Analysis of β-Turns in Proteins by Support Vector Machine

Tu Bao Ho, Kenji Satou, Tho Hoan Pham, 2003 .

Improving effectiveness of mutual information for substantival multiword expression extraction

Tu Bao Ho, Xijin Tang, Taketoshi Yoshida, 2009, Expert Syst. Appl..

A Tree-to-String Phrase-based Model for Statistical Machine Translation

Akira Shimazu, Vinh Van Nguyen, Minh Le Nguyen, 2008, CoNLL.

A Scalable Algorithm for Rule Post-pruning of Large Decision Trees

Tu Bao Ho, Hiroshi Shimodaira, Trong Dung Nguyen, 2001, PAKDD.

Learning and recommending treatments using electronic medical records

Tu Bao Ho, Khanh Hung Hoang, T. Ho, 2019, Knowl. Based Syst..

Scheduling Meetings with Distributed Local Consistency Reinforcement

Takayuki Ito, Tu Bao Ho, Ahlem Ben Hassine, 2004, IEA/AIE.

Chance discovery and learning minority classes

Tu Bao Ho, DucDung Nguyen, T. Ho, 2003, New Generation Computing.

A Descriptive Method for Generating siRNA Design Rules

Tu Bao Ho, Saori Kawasaki, Bui Thang Ngoc, 2013, ACIIDS.

Mining Prediction Rules from Minority Classes

Tu Bao Ho, DucDung Nguyen, Saori Kawasaki, 2001, INAP.

Mining Hepatitis Data with Temporal Abstraction (知識ベースシステム研究会(第60回) 人工知能基礎論研究会(第52回) 小特集:「データマイニング」および一般) -- (文部科学省科学研究費特定領域研究情報洪水時代におけるアクティブマイニングの実現)

Tu Bao Ho, Saori Kawasaki, Nguyen Trong Dung, 2003 .

Augmented Mutual Information for Multi-word Extraction

Tu Bao Ho, Xijin Tang, Taketoshi Yoshida, 2009 .

Active Mining

Masayuki Numao, Tu Bao Ho, 2007, New Generation Computing.

Multiscale Time Series Clustering: A Consensus Clustering Approach (Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining) -- (Session 13: Artificial Intelligence 3)

Tu Bao Ho, Hui Zhang, 2004 .

Scheduling meetings with distributed local consistency reinforcement

Takayuki Ito, Tu Bao Ho, Ahlem Ben Hassine, 2004 .

Extraction of Temporal Events from Clinical Text Using Semi-supervised Conditional Random Fields

Tu Bao Ho, Gandhimathi Moharasan, T. Ho, 2017, DMBD.

Temporal decomposition: a promising approach to VQ-based speaker identification

Tu Bao Ho, Masato Akagi, Phu Chien Nguyen, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Finding Rules in Data

Tu Bao Ho, 2007 .

Cluster-based Information Retrieval with Tolerance Rough Set Model

Tu Bao Ho, Ngoc Binh Nguyen, Saori Kawasaki, 2002, Int. J. Fuzzy Log. Intell. Syst..

A Semi-Supervised Method for Discriminative Motif Finding and Its Application to Hepatitis C Virus Study

Tu Bao Ho, Thi Nhan Le, 2012, ACIIDS.

Methods of Sparse Modeling and Dimensionality Reduction to Deal with Big Data

Tu Bao Ho, 2015 .

Association-Based Dissimilarity Measures for Categorical Data: Limitation and Improvement

Tu Bao Ho, Si Quang Le, Le Sy Vinh, 2006, PAKDD.

A Conditional Probability Distribution-Based Dissimilarity Measure for Categorial Data

Tu Bao Ho, Si Quang Le, 2004, PAKDD.

Drug-Drug Interaction Extraction from Biomedical Texts via Relation BERT

Tu Bao Ho, Dinh Phuong Nguyen, T. Ho, 2020, 2020 RIVF International Conference on Computing and Communication Technologies (RIVF).

A context model for fuzzy concept analysis based upon modal logic

Germano Resconi, Van-Nam Huynh, Yoshiteru Nakamori, 2004, Inf. Sci..

An Extension of Rough Approximation Quality to Fuzzy Classification

Tetsuya Murai, Van-Nam Huynh, Yoshiteru Nakamori, 2005, RSFDGrC.

Two approaches to the Representation and Interpretation of Concept Lattices

Tu Bao Ho, 1999, EJC.

Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients

Hui Zhang, Tu Bao Ho, Xuefeng Liang, 2006, ISNN.

A Semi-Supervised Ensemble Learning Method for Finding Discriminative Motifs and its Application

Shuang Wu, Tu Bao Ho, Saori Kawasaki, 2013, J. Univers. Comput. Sci..

Preface

Tu Bao Ho, Hiroshi Motoda, Zhi-Hua Zhou, 1982, International Journal of Software and Informatics.

Introduction: special issue of selected papers from ACML 2014

Zhi-Hua Zhou, Hang Li, Tu Bao Ho, 2016, Machine Learning.

Unsupervised Feature Extraction for Time Series Clustering Using Orthogonal Wavelet Transform

Yang Zhang, Hui Zhang, Tu Bao Ho, 2006, Informatica.

Discovering Relationship between Hepatitis C Virus NS5A Protein and Interferon/Ribavirin Therapy

Tu Bao Ho, Saori Kawasaki, Nhan Le, 2010, KICSS.

Reconstruction of Triple-wise Relationships in Biological Networks from Profiling Data

Tu Bao Ho, Dang Hung Tran, Tho Hoan Pham, 2013 .

PRICAI 2008: Trends in Artificial Intelligence, 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008. Proceedings

Zhi-Hua Zhou, Tu Bao Ho, 2008, PRICAI.

Abbreviation Identification in Clinical Notes with Level-wise Feature Engineering and Supervised Learning

Tu Bao Ho, Tru Hoang Cao, Thi Ngoc Chau Vo, 2016, PKAW.

Visualization of Data and Knowledge in the Knowledge Discovery Process (人工知能基礎論研究会(第46回) 知識ベースシステム研究会(第54回) 合同研究会テーマ:「アクティブマイニング」および一般)

Tu Bao Ho, DucDung Nguyen, Trong Dung Nguyen, 2001 .

Probabilistic Sentence Reduction Using Support Vector Machines

Akira Shimazu, Masaru Fukushi, Susumu Horiguchi, 2004, COLING.

Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results

Tu Bao Ho, Chi Mai Luong, T. Ho, 1997, IJCAI.

Combining temporal abstraction and data mining to study hepatitis data (特集「医療及び化学情報マイニング」および一般)

Tu Bao Ho, Saori Kawasaki, Le Si Quang, 2004 .

A Scheduling Method for Divisible Workload Problem in Grid Environments

Said Elnaffar, Tu Bao Ho, Takuya Katayama, 2005, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05).

Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining

Boonserm Kijsirikul, Tu Bao Ho, Thanaruk Theeramunkong, 2003, KDD 2003.

A new distributed approach to solve meeting scheduling problems

Takayuki Ito, Tu Bao Ho, Ahlem Ben Hassine, 2003, IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT 2003..

Fuzziness and Uncertainty within the Framework of Context Model

Van-Nam Huynh, Yoshiteru Nakamori, Mina Ryoke, 2003, IFSA.

Restricted Path Consistency Enforcement for any Constraint Network(Artificial Intelligence I)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)

Tu Bao Ho, Ahlem Ben Hassine, 2004 .

An efficient kernel matrix evaluation measure

Tu Bao Ho, Canh Hao Nguyen, T. Ho, 2008, Pattern Recognit..

Knowledge Acquisition by Machine Learning and Data Mining

Tu Bao Ho, Saori Kawasaki, Janusz Granat, 2007, Creative Environments.

Development of Some Methods and Tools for Discovering Conceptual Knowledge

Tu Bao Ho, Ngoc Binh Nguyen, Trong Dung Nguyen, 1998, Discovery Science.

Privacy Preserving EM-Based Clustering

Tu Bao Ho, The Dung Luong, T. Ho, 2009, 2009 IEEE-RIVF International Conference on Computing and Communication Technologies.

Blind Feature Extraction for Time-Series Classification Using Haar Wavelet Transform

Hui Zhang, Tu Bao Ho, Wei Huang, 2005, ISNN.

Learning Imbalanced Data by Locally Adaptive Rule Induction (特集:「アクティブマイニング」および一般) -- (セッション5 学習,知識データベース)

Tu Bao Ho, Canh Hao Nguyen, 2005 .

Information Retrieval Using Rough Sets

Tu Bao Ho, Kaname Funakoshi, 1998 .

Knowledge Discovery from Unsupervised Data in Support of Decision Making

Tu Bao Ho, T. Ho, 2000 .

Study of Protein-Protein Interactions from Multiple Data Sources

Thanh Phuong Nguyen, Tu Bao Ho, Tuan Nam Tran, 2007 .

A semi–supervised tensor regression model for siRNA efficacy prediction

Tu Bao Ho, Tatsuo Kanda, Bui Thang Ngoc, 2015, BMC Bioinformatics.

An Interactive-Graphic System for Decision Tree Induction

Tu Bao Ho, Trong Dung Nguyen, T. Ho, 1999 .

Temporal Abstraction and Data Mining with Visualization of Laboratory Data

Tu Bao Ho, Takahiro Suzuki, Saori Kawasaki, 2007, MedInfo.

MicroRNA Expression Profiles for Classification and Analysis of Tumor Samples

Tu Bao Ho, Kenji Satou, Dang Hung Tran, 2011, IEICE Trans. Inf. Syst..

reconstructing signal transduction networks

Tu Bao Ho, T. Ho, 2012 .

Classification with Maximum Entropy Modeling of Predictive Association Rules

Susumu Horiguchi, Minh Le Nguyen, Tu Bao Ho, 2005, ECML.

A New Approach to Belief Modeling

Tetsuya Murai, Van-Nam Huynh, Yoshiteru Nakamori, 2004, FoIKS.

Prediction of Histone Modifications in DNA sequences

Tu Bao Ho, Kenji Satou, Dang Hung Tran, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Privacy Preserving Frequency Mining in 2-Part Fully Distributed Setting

Tu Bao Ho, The Dung Luong, T. Ho, 2010, IEICE Trans. Inf. Syst..

Combining Views on Concepts in Unsupervised Concept Learning

Tu Bao Ho, 1996, PRICAI.

The Effects of a Knowledge Management-Based Model for Teacher Professional Development in Hands-On Approach

Yoshiteru Nakamori, Tu Bao Ho, Thang Vinh Ho, 2015, Int. J. Knowl. Syst. Sci..

Accelerated anti-lopsided algorithm for nonnegative least squares

Tu Bao Ho, Duy Khuong Nguyen, T. Ho, 2017, International Journal of Data Science and Analytics.

Finding The Clustering Consensus of Time Series with Multi-Scale Transform

Hui Zhang, Tu Bao Ho, 2005, WSTST.

Interactive Visualization for Predictive Modelling with Decision Tree Induction

Tu Bao Ho, Trong Dung Nguyen, 1998, PKDD.

A Knowledge Discovery System with Support for Model Selection and Visualization

Tu Bao Ho, Masayuki Kimura, Hiroshi Shimodaira, 2003, Applied Intelligence.

Temporal Logic in Mining Hepatitis Data (Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining) -- (Session 2: Medical Active Mining)

Tu Bao Ho, Canh Hao Nguyen, Si Quang Le, 2004 .

Interactive Visualization in Mining Large Decision Trees

Tu Bao Ho, Trong Dung Nguyen, Hiroshi Shimodaira, 2000, PAKDD.

Modeling the diversity and log-normality of data

Tu Bao Ho, Khoat Than, T. Ho, 2014, Intell. Data Anal..

Cluster-Based Algorithms for Dealing with Missing Values

Tu Bao Ho, Yoshikazu Fujikawa, T. Ho, 2002, PAKDD.

A Non-parametric Wavelet Feature Extractor for Time Series Classification

Hui Zhang, Tu Bao Ho, Mao Song Lin, 2004, PAKDD.

An Overview on the Approximation Quality Based on Rough-Fuzzy Hybrids

Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho, 2008, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models.

Multiscale Feature Extraction for Time Series Classification with Hybrid Feature Selection

Wei Huang, Tu Bao Ho, Hui Zhang, 2006 .

Visualization support for a user-centered KDD process

Tu Bao Ho, DucDung Nguyen, Trong Dung Nguyen, 2002, KDD.

Improving sentiment analysis on clinical narratives by exploiting UMLS semantic types

Tu Bao Ho, Ekawit Nantajeewarawat, Anon Plangprasopchok, 2021, Artif. Intell. Medicine.

Prediction of microRNA Hairpins using One-Class Support Vector Machines

Tu Bao Ho, Dang Hung Tran, Tho Hoan Pham, 2008, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering.

Prediction and analysis of beta-turns in proteins by support vector machine.

Tu Bao Ho, Kenji Satou, Tho Hoan Pham, 2003, Genome informatics. International Conference on Genome Informatics.

Performing more than AC for hard distributed constraint satisfaction problems

Tu Bao Ho, A.B. Hassine, 2005, Rational, Robust, and Secure Negotiation Mechanisms in Multi-Agent Systems (RRS'05).

Finding HCV NS 5 A Discriminative Motifs for Assessement of IFN / Ribavarin Therapy Effect

Tu Bao Ho, Saori Kawasaki, Ngoc Tu Le, 2011 .

Mining yeast transcriptional regulatory modules from factor DNA-binding sites and gene expression data.

Tu Bao Ho, Kenji Satou, Tho Hoan Pham, 2004, Genome informatics. International Conference on Genome Informatics.

Qualitatively predicting acetylation and methylation areas in DNA sequences.

Tu Bao Ho, Kenji Satou, Gabriel Valiente, 2005, Genome informatics. International Conference on Genome Informatics.

Data mining for materials design: a computational study of single molecule magnet.

Hieu Chi Dam, Tu Bao Ho, Anh Tuan Nguyen, 2014, The Journal of chemical physics.