M. Ohsaki

发表

A Rule Discovery Support System for Sequential Medical Data,-In the Case Study of a Chronic Hepatitis Dataset-

M. Ohsaki, 2002 .

Large Geometric Margin Minimum Error Classification

E. McDermott, S. Katagiri, A. Nakamura, 2009 .

Supervised Machine Learning: A Review of Classification Techniques

Sotiris B. Kotsiantis, S. Tsumoto, S. Kotsiantis, 2007, Informatica.

Numerical Time-Series Pattern Extraction Reflecting User's Interest

Takahira Yamaguchi, M. Ohsaki, H. Abe, 2006 .

Comparison between Objective Interestingness Measures and Real Human Interest in Medical Data Mining

Yoshinori Sato, Takahira Yamaguchi, Miho Ohsaki, 2004, IEA/AIE.

Development and Evaluation of an Integrated Time-Series KDD Environment--A Case Study of Medical KDD on Hepatitis (Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining) -- (Session 8: Medical Data Mining)

Miho Ohsaki, Hidenao Abe, Shinya Kitaguchi, 2004 .

An Improved Boundary Uncertainty-Based Estimation for Classifier Evaluation

Shigeru Katagiri, Miho Ohsaki, David Ha, 2021, Journal of Signal Processing Systems.

Evaluation of Learning Algorithms to Construct Valid Rule Evaluation Models Based on Objective Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007 .

A Proposal of an Improved Maximum Bayes Boundary-Ness Training Method

S. Katagiri, M. Ohsaki, Koki Kishishita, 2022, SPML.

Robust and Efficient Pattern Classification using Large Geometric Margin Minimum Classification Error Training

S. Katagiri, H. Kashioka, M. Ohsaki, 2013, Journal of Signal Processing Systems.

Minimum Classification Error Training Incorporating Automatic Loss Smoothness Determination

S. Katagiri, H. Kashioka, M. Ohsaki, 2013, Journal of Signal Processing Systems.

Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification

Shigeru Katagiri, Peng Wang, Miho Ohsaki, 2017, IEEE Transactions on Knowledge and Data Engineering.

Evaluation of rule interestingness measures in medical knowledge discovery in databases

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, Artif. Intell. Medicine.

A Practical Method Based on Bayes Boundary-Ness for Optimal Classifier Parameter Status Selection

Shigeru Katagiri, Miho Ohsaki, David Ha, 2019, J. Signal Process. Syst..

Finding Functional Groups of Objective Rule Evaluation Indices Using PCA

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2008, PAKM.

Evaluating Learning Algorithms to Support Human Rule Evaluation with Predicting Interestingness Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2008, Communications and Discoveries from Multidisciplinary Data.

Evaluating learning algorithms for a rule evaluation support method

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Evaluation of Learning Costs of Rule Evaluation Models Based on Objective Indices to Predict Human Hypothesis Construction Phases

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, 2007 IEEE International Conference on Granular Computing (GRC 2007).

Evaluating Learning Algorithms to Construct Rule Evaluation Models Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, 6th IEEE International Conference on Cognitive Informatics.

Evaluating Learning Costs to Predict Human Interests with Rule Evaluation Models based on Objective Indices

S. Tsumoto, H. Abe, H. Yokoi, 2007, 2007 IEEE/ICME International Conference on Complex Medical Engineering.

Evaluating Learning Algorithms to Support Human Rule - Evaluation Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, Data Sci. J..

Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, RSCTC.

Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, ISMIS.

Evaluating Learning Algorithms with Meta-learning Schemes for a Rule Evaluation Support Method Based on Objective Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, PKAW.

Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, PAKDD.

Evaluating Model Construction Methods with Objective Rule Evaluation Indices to Support Human Experts

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, MDAI.

Evaluating a rule evaluation support method with learning models based on objective rule evaluation indices - a case study with a meningitis data mining result

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis

Takahira Yamaguchi, Miho Ohsaki, Kazuya Okamoto, 2004, PKDD.

Investigation of Rule Interestingness in Medical Data Mining

Takahira Yamaguchi, Miho Ohsaki, Hideto Yokoi, 2003, Active Mining.

Developing an Integrated Time-Series Data Mining Environment for Medical Data Mining

Takahira Yamaguchi, Miho Ohsaki, Hidenao Abe, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Evaluating Accuracies of a Trading Rule Mining Method Based on Temporal Pattern Extraction

Takahira Yamaguchi, Miho Ohsaki, Hidenao Abe, 2007, MCD.

Implementing an Integrated Time-Series Data Mining Environment Based on Temporal Pattern Extraction Methods: A Case Study of an Interferon Therapy Risk Mining for Chronic Hepatitis

Takahira Yamaguchi, Miho Ohsaki, Hidenao Abe, 2006, JSAI Workshops.

Evaluating an Integrated Time-Series Data Mining Environment-A Case Study on a Chronic Hepatitis Data Mining -

Takahira Yamaguchi, Miho Ohsaki, Hidenao Abe, 2005 .

An input method using discrete fitness values for interactive GA

Miho Ohsaki, Hideyuki Takagi, Kimiko Ohya, 1998, J. Intell. Fuzzy Syst..

Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Formulation of the kernel logistic regression based on the confusion matrix

Shigeru Katagiri, Peng Wang, Miho Ohsaki, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Robust and Efficient Pattern Classification using Large Geometric Margin Minimum Classification Error Training

Shigeru Katagiri, Hideki Kashioka, Miho Ohsaki, 2014, J. Signal Process. Syst..

Maximum Bayes Boundary-Ness Training For Pattern Classification

Shigeru Katagiri, Hideyuki Watanabe, David Ha, 2019, SPML '19.

Discovery of Sets and Representatives of Variables in Co-nonlinear Relationships by Neural Network Regression and Group Lasso

Shigeru Katagiri, Miho Ohsaki, Hayato Sasaki, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Body Part Diagram Recognition in Medical Records: Application of the Histograms of Oriented Gradients and the Mahalanobis-Distance-Based Classifier

Shigeru Katagiri, Miho Ohsaki, Hayato Sasaki, 2018, 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS).

Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition

Shigeru Katagiri, Hideyuki Watanabe, Miho Ohsaki, 2019, SPML '19.

Minimum classification error training with automatic setting of loss smoothness

Shigeru Katagiri, Miho Ohsaki, Hideyuki Watanabe, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

Application of kernel logistic regression to the prediction of liver fibrosis stages in chronic hepatitis C

Shigeru Katagiri, Miho Ohsaki, Katsuhiko Takabayashi, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

Minimum Error Classification with geometric margin control

Shigeru Katagiri, Shinji Watanabe, Atsushi Nakamura, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Improving a rule evaluation support method based on objective indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2010, Int. J. Adv. Intell. Paradigms.

Evaluating a Constructive Meta-learning Algorithm for a Rule Evaluation Support Method Based on Objective Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, KES.

Interactive Evolutionary Computation-Based Hearing Aid Fitting

Miho Ohsaki, Hideyuki Takagi, M. Ohsaki, 2007, IEEE Transactions on Evolutionary Computation.

Automobile driving support system evolved by Genetic Programming

Shigeru Katagiri, Ivan Tanev, Katsunori Shimohara, 2016, 2016 IEEE Region 10 Conference (TENCON).

Improved Boundary Uncertainty Estimation For Classifier Selection

S. Katagiri, M. Ohsaki, David Ha, 2020, 2020 IEEE MTT-S International Wireless Symposium (IWS).