Tu Bao Ho

Publication Activity (10 Years)

Years Active: 1988-2021
Publications (10 Years): 20

Top Venues

CoRR

RIVF

J. Ambient Intell. Humaniz. Comput.

Int. J. Knowl. Syst. Sci.

Publications

Nuttapong Sanglerdsinlapachai, Anon Plangprasopchok, Tu Bao Ho, Ekawit Nantajeewarawat
Improving sentiment analysis on clinical narratives by exploiting UMLS semantic types. Artif. Intell. Medicine 113 (2021)
Dinh Phuong Nguyen, Tu Bao Ho
Drug-Drug Interaction Extraction from Biomedical Texts via Relation BERT. RIVF (2020)
Gandhimathi Moharasan, Tu Bao Ho
Extraction of Temporal Information from Clinical Narratives. J. Heal. Informatics Res. 3 (2) (2019)
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) (2019)
Khanh Hung Hoang, Tu Bao Ho
Learning and recommending treatments using electronic medical records. Knowl. Based Syst. 181 (2019)
Khanh Hung Hoang, Tu Bao Ho
Learning Treatment Regimens from Electronic Medical Records. PAKDD (1) (2018)
Ryosuke Matsuo, Tu Bao Ho
Semantic term weighting for clinical texts. Expert Syst. Appl. 114 (2018)
Khanh Hung Hoang, Tu Bao Ho
Learning Treatment Regimens from Electronic Medical Records. CoRR (2018)
Gandhimathi Moharasan, Tu Bao Ho
Extraction of Temporal Events from Clinical Text Using Semi-supervised Conditional Random Fields. DMBD (2017)
Duy Khuong Nguyen, Tu Bao Ho
Accelerated anti-lopsided algorithm for nonnegative least squares. Int. J. Data Sci. Anal. 3 (1) (2017)
Duy Khuong Nguyen, Tu Bao Ho
Accelerated parallel and distributed algorithm using limited internal memory for nonnegative matrix factorization. J. Glob. Optim. 68 (2) (2017)
Gandhimathi Moharasan, Tu Bao Ho
A semi-supervised approach for temporal information extraction from clinical text. RIVF (2016)
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)
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) (2016)
Duy Khuong Nguyen, Tu Bao Ho
Fast Parallel Randomized Algorithm for Nonnegative Matrix Factorization with KL Divergence for Large Sparse Datasets. CoRR (2016)
Duy Khuong Nguyen, Quoc Tran-Dinh, Tu Bao Ho
Simplicial Nonnegative Matrix Tri-factorization: Fast Guaranteed Parallel Algorithm. ICONIP (2) (2016)
Duy Khuong Nguyen, Tu Bao Ho
Accelerated Parallel and Distributed Algorithm using Limited Internal Memory for Nonnegative Matrix Factorization. CoRR (2015)
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) (2015)
Bui Thang Ngoc, Tu Bao Ho, Tatsuo Kanda
A semi-supervised tensor regression model for siRNA efficacy prediction. BMC Bioinform. 16 (2015)
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) (2015)
Khoat Than, Tu Bao Ho, Duy Khuong Nguyen
An effective framework for supervised dimension reduction. Neurocomputing 139 (2014)
Khoat Than, Tu Bao Ho
Modeling the diversity and log-normality of data. Intell. Data Anal. 18 (6) (2014)
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) (2014)
Khoat Than, Tu Bao Ho
Probable convexity and its application to Correlated Topic Models. CoRR (2013)
Bui Thang Ngoc, Tu Bao Ho, Saori Kawasaki
A Descriptive Method for Generating siRNA Design Rules. ACIIDS (2) (2013)
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) (2013)
Duy Khuong Nguyen, Khoat Than, Tu Bao Ho
Simplicial nonnegative matrix factorization. RIVF (2013)
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) (2013)
Khoat Than, Tu Bao Ho
Fully Sparse Topic Models. ECML/PKDD (1) (2012)
Khoat Than, Tu Bao Ho
Managing sparsity, time, and quality of inference in topic models CoRR (2012)
Tu Bao Ho, Patrick Bellot, Tru H. Cao
Advances in information and knowledge systems. J. Ambient Intell. Humaniz. Comput. 3 (4) (2012)
Khoat Than, Tu Bao Ho, Duy Khuong Nguyen, Pham Ngoc Khanh
Supervised dimension reduction with topic models. ACML (2012)
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)
Bich Hai Ho, Ngoc Tu Le, Tu Bao Ho
Bayesian Network Analysis of Relationships between Nucleosome Dynamics and Transcriptional Regulatory Factors. BIOINFORMATICS (2012)
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) (2012)
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)
Ngoc Tu Le, Tu Bao Ho
Reconstruction of Histone Modification Network from Next-generation Sequencing Data. BIBE (2011)
Hieu-Chi Dam, Tu Bao Ho, Ayumu Sugiyama
Simulation-Based Data Mining Solution to the Structure of Water Surrounding Proteins. IJCAI (2011)
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. (3) (2011)
The Dung Luong, Tu Bao Ho
A Distributed Solution for Privacy Preserving Outlier Detection. KSE (2011)
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)
The Dung Luong, Tu Bao Ho
Privacy Preserving Frequency Mining in 2-Part Fully Distributed Setting. IEICE Trans. Inf. Syst. (10) (2010)
Tu Bao Ho, Zhi-Hua Zhou, Hiroshi Motoda
Editorial. Intell. Data Anal. 14 (4) (2010)
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)
Pham Ngoc Khanh, Tu Bao Ho
Mining Parallel Documents across Web Sites. AIRS (2010)
Minh Le 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)
The Dung Luong, Tu Bao Ho
Privacy Preserving EM-Based Clustering. RIVF (2009)
Bay Vo, Huy Nguyen, Tu Bao Ho, Bac Le
Parallel Method for Mining High Utility Itemsets from Vertically Partitioned Distributed Databases. KES (1) (2009)
Wen Zhang, Taketoshi Yoshida, Xijin J. Tang, Tu Bao Ho
Improving effectiveness of mutual information for substantival multiword expression extraction. Expert Syst. Appl. 36 (8) (2009)
Tu Bao Ho, Zhi-Hua Zhou, Hiroshi Motoda
Preface. Int. J. Softw. Informatics 3 (1) (2009)
Thanh Phuong Nguyen, Tu Bao Ho
An Integrative Domain-Based Approach to Predicting protein-protein Interactions. J. Bioinform. Comput. Biol. 6 (6) (2008)
Dang Hung Tran, Kenji Satou, Tu Bao Ho
Finding microRNA regulatory modules in human genome using rule induction. BMC Bioinform. 9 (S-12) (2008)
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)
Canh Hao Nguyen, Tu Bao Ho
An efficient kernel matrix evaluation measure. Pattern Recognit. 41 (11) (2008)
Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki
Simple but effective methods for combining kernels in computational biology. RIVF (2008)
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) (2007)
Thanh Phuong Nguyen, Tu Bao Ho
A Semi-supervised Learning Approach to Disease Gene Prediction. BIBM (2007)
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)
Ahlem Ben Hassine, Tu Bao Ho
An agent-based approach to solve dynamic meeting scheduling problems with preferences. Eng. Appl. Artif. Intell. 20 (6) (2007)
Masayuki Numao, Tu Bao Ho
Active Mining. New Gener. Comput. 25 (3) (2007)
Van-Nam Huynh, Yoshiteru Nakamori, Mina Ryoke, Tu Bao Ho
Decision making under uncertainty with fuzzy targets. Fuzzy Optim. Decis. Mak. 6 (3) (2007)
Tho Hoan Pham, Tu Bao Ho, Dang Hung Tran, Kenji Satou
Prediction of Histone Modifications in DNA sequences. BIBE (2007)
Tho Hoan Pham, Tu Bao Ho
A Hyper-Heuristic for Descriptive Rule Induction. Int. J. Data Warehous. Min. 3 (1) (2007)
Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Katsuhiko Takabayashi
Temporal Relations Extraction in Mining Hepatitis Data. PAKDD (2007)
Canh Hao Nguyen, Tu Bao Ho
Kernel Matrix Evaluation. IJCAI (2007)
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. (10) (2007)
Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho
Utility Function Induced by Fuzzy Target in Probabilistic Decision Making. RSCTC (2006)
DucDung Nguyen, Tu Bao Ho
A bottom-up method for simplifying support vector solutions. IEEE Trans. Neural Networks 17 (3) (2006)
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) (2006)
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) (2006)
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) (2006)
Minh-Hoang Le, Tu Bao Ho, Yoshiteru Nakamori
Detecting Citation Types Using Finite-State Machines. PAKDD (2006)
Si Quang Le, Tu Bao Ho, Le Sy Vinh
Association-Based Dissimilarity Measures for Categorical Data: Limitation and Improvement. PAKDD (2006)
Hui Zhang, Tu Bao Ho, Mao Song Lin, Xuefeng Liang
Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients. ISNN (1) (2006)
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)
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) (2006)
Thanh Phuong Nguyen, Tu Bao Ho
Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases. Discovery Science (2006)
DucDung Nguyen, Tu Bao Ho, Saori Kawasaki
Knowledge visualization in hepatitis study. APVIS (2006)
Ahlem Ben Hassine, Tu Bao Ho, Takayuki Ito
Meetings scheduling solver enhancement with local consistency reinforcement. Appl. Intell. 24 (2) (2006)
Van-Nam Huynh, Tetsuya Murai, Tu Bao Ho, Yoshiteru Nakamori
An Extension of Rough Approximation Quality to Fuzzy Classification. RSFDGrC (1) (2005)
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) (2005)
Tho Hoan Pham, José Carlos Clemente, Kenji Satou, Tu Bao Ho
Computational discovery of transcriptional regulatory rules. ECCB/JBI (2005)
Canh Hao Nguyen, Tu Bao Ho
An Imbalanced Data Rule Learner. PKDD (2005)
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) (2005)
Tuan Nam Tran, Kenji Satou, Tu Bao Ho
Using Inductive Logic Programming for Predicting Protein-Protein Interactions from Multiple Genomic Data. PKDD (2005)
Hui Zhang, Tu Bao Ho, Wei Huang
Blind Feature Extraction for Time-Series Classification Using Haar Wavelet Transform. ISNN (2) (2005)
Si Quang Le, Tu Bao Ho
An association-based dissimilarity measure for categorical data. Pattern Recognit. Lett. 26 (16) (2005)
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu Horiguchi
Improving discriminative sequential learning with rare--but--important associations. KDD (2005)
Hui Zhang, Tu Bao Ho
Finding The Clustering Consensus of Time Series with Multi-Scale Transform. WSTST (2005)
DucDung Nguyen, Tu Bao Ho
An efficient method for simplifying support vector machines. ICML (2005)
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi, Tu Bao Ho, Yasushi Inoguchi
Classification with Maximum Entropy Modeling of Predictive Association Rules. ECML (2005)
Nguyen The Loc, Said Elnaffar, Takuya Katayama, Tu Bao Ho
A Scheduling Method for Divisible Workload Problem in Grid Environments. PDCAT (2005)
DucDung Nguyen, Tu Bao Ho
Speeding-up Model Selection for Support Vector Machines. FLAIRS Conference (2005)
Xuan Hieu Phan, Susumu Horiguchi, Tu Bao Ho
PEWeb: Product Extraction from the Web Based on Entropy Estimation. Web Intelligence (2004)
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)
Si Quang Le, Tu Bao Ho
Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach. Discovery Science (2004)
Hui Zhang, Tu Bao Ho, Mao Song Lin
A Non-parametric Wavelet Feature Extractor for Time Series Classification. PAKDD (2004)
Minh Le Nguyen, Akira Shimazu, Susumu Horiguchi, Tu Bao Ho, Masaru Fukushi
Probabilistic Sentence Reduction Using Support Vector Machines. COLING (2004)
Ahlem Ben Hassine, Khaled Ghédira, Tu Bao Ho
New Distributed Filtering-Consistency Approach to General Networks. IEA/AIE (2004)
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) (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tu Bao Ho