Miho Ohsaki

Publication Activity (10 Years)

Years Active: 1998-2022
Publications (10 Years): 16

Top Topics

Logistic Regression

Discriminative Training

Top Venues

J. Signal Process. Syst.

Publications

Koki Kishishita, Shigeru Katagiri, Miho Ohsaki
A Proposal of an Improved Maximum Bayes Boundary-Ness Training Method. SPML (2022)
Rina Obata, Kei Ohnishi, Makoto Fukumoto, Miho Ohsaki
Experiment to Investigate Awareness of Tastes for Users in Interactive Evolutionary Computation. SCIS/ISIS (2022)
Ginji Hayashi, Shigeru Katagiri, Xugang Lu, Miho Ohsaki
An Investigation of Feature Difference Between Child and Adult Voices Using Line Spectral Pairs. SPML (2022)
Miho Ohsaki, Naoya Kishimoto, Hayato Sasaki, Ryoji Ikeura, Shigeru Katagiri, Kei Ohnishi, Yakub Sebastian, Patrick H. H. Then
NNR-GL: A Measure to Detect Co-Nonlinearity Based on Neural Network Regression Regularized by Group Lasso. IEEE Access 9 (2021)
Miho Ohsaki, Hayato Sasaki, Naoya Kishimoto, Shigeru Katagiri, Kei Ohnishi, Yakub Sebastian, Patrick H. H. Then
Evaluation of the Neural-network-based Method to Discover Sets and Representatives of Nonlinearly Dependent Variables. CYBCONF (2021)
David Ha, Shigeru Katagiri, Hideyuki Watanabe, Miho Ohsaki
An Improved Boundary Uncertainty-Based Estimation for Classifier Evaluation. J. Signal Process. Syst. 93 (9) (2021)
Masaya Kato, Miho Ohsaki, Kei Ohnishi
Genetic Algorithms Using Neural Network Regression and Group Lasso for Dynamic Selection of Crossover Operators. SCIS/ISIS (2020)
David Ha, Yuya Tomotoshi, Masahiro Senda, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
A Practical Method Based on Bayes Boundary-Ness for Optimal Classifier Parameter Status Selection. J. Signal Process. Syst. 92 (2) (2020)
Masahiro Senda, David Ha, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
Maximum Bayes Boundary-Ness Training For Pattern Classification. SPML (2019)
Yuya Tomotoshi, David Ha, Emilie Delattre, Hideyuki Watanabe, Xugang Lu, Shigeru Katagiri, Miho Ohsaki
Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers. IUKM (2019)
Naoto Umezaki, Takumi Okubo, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition. SPML (2019)
David Ha, Emilie Delattre, Yuya Tomotoshi, Masahiro Senda, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
Optimal Classifier Model Status Selection using Bayes boundary uncertainty. MLSP (2018)
Miho Ohsaki, Hayato Sasaki, Naoya Kishimoto, Shigeru Katagiri, Patrick Hang Hui Then
Discovery of Sets and Representatives of Variables in Co-nonlinear Relationships by Neural Network Regression and Group Lasso. BIBM (2018)
Miho Ohsaki, Hayato Sasaki, Hiroharu Kawanaka, Shigeru Katagiri
Body Part Diagram Recognition in Medical Records: Application of the Histograms of Oriented Gradients and the Mahalanobis-Distance-Based Classifier. SCIS&ISIS (2018)
Ryoma Tani, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
Compact kernel classifiers trained with minimum classification error criterion. MLSP (2017)
Miho Ohsaki, Peng Wang, Kenji Matsuda, Shigeru Katagiri, Hideyuki Watanabe, Anca Ralescu
Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification. IEEE Trans. Knowl. Data Eng. 29 (9) (2017)
Miho Ohsaki, Kenji Matsuda, Peng Wang, Shigeru Katagiri, Hideyuki Watanabe
Formulation of the kernel logistic regression based on the confusion matrix. CEC (2015)
Hideyuki Watanabe, Jun'ichi Tokuno, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka
Minimum Classification Error Training Incorporating Automatic Loss Smoothness Determination. J. Signal Process. Syst. 74 (3) (2014)
Hideyuki Watanabe, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka
Robust and Efficient Pattern Classification using Large Geometric Margin Minimum Classification Error Training. J. Signal Process. Syst. 74 (3) (2014)
Tsukasa Ohashi, Hideyuki Watanabe, Jun'ichi Tokuno, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka
Increasing virtual samples through loss smoothness determination in large geometric margin minimum classification error training. ICASSP (2012)
Kenji Matsuda, Miho Ohsaki, Shigeru Katagiri, Hideto Yokoi, Katsuhiko Takabayashi
Application of kernel logistic regression to the prediction of liver fibrosis stages in chronic hepatitis C. SCIS&ISIS (2012)
Hideyuki Watanabe, Jun'ichi Tokuno, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki
Minimum classification error training with automatic setting of loss smoothness. MLSP (2011)
Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
Minimum classification error training with geometric margin enhancement for robust pattern recognition. MLSP (2011)
Hideyuki Watanabe, Shigeru Katagiri, Kouta Yamada, Erik McDermott, Atsushi Nakamura, Shinji Watanabe, Miho Ohsaki
Minimum Error Classification with geometric margin control. ICASSP (2010)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
Improving a rule evaluation support method based on objective indices. Int. J. Adv. Intell. Paradigms 2 (2/3) (2010)
Miho Ohsaki, Masakazu Nakase, Shigeru Katagiri
Analysis of Subsequence Time-Series Clustering Based on Moving Average. ICDM (2009)
Miho Ohsaki
Improvement of interactive EC fitting based on substitute evaluation using sound volume preference. FUZZ-IEEE (2009)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
Finding Functional Groups of Objective Rule Evaluation Indices Using PCA. PAKM (2008)
Hideyuki Takagi, Miho Ohsaki
Interactive Evolutionary Computation-Based Hearing Aid Fitting. IEEE Trans. Evol. Comput. 11 (3) (2007)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
Evaluating learning algorithms for a rule evaluation support method. SMC (2007)
Miho Ohsaki, Hidenao Abe, Takahira Yamaguchi
Numerical Time-Series Pattern Extraction Based on Irregular Piecewise Aggregate Approximation and Gradient Specification. New Gener. Comput. 25 (3) (2007)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
Evaluating Learning Algorithms to Construct Rule Evaluation Models Based on Objective Rule Evaluation Indices. IEEE ICCI (2007)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi
Evaluation of Learning Costs of Rule Evaluation Models Based on Objective Indices to Predict Human Hypothesis Construction Phases. GrC (2007)
Hidenao Abe, Hideto Yokoi, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
Evaluating Learning Models with Transitions of Human Interests Based on Objective Rule Evaluation Indices. MedInfo (2007)
Hidenao Abe, Hideto Yokoi, Miho Ohsaki, Takahira Yamaguchi
Developing an Integrated Time-Series Data Mining Environment for Medical Data Mining. ICDM Workshops (2007)
Hidenao Abe, Satoru Hirabayashi, Miho Ohsaki, Takahira Yamaguchi
Evaluating Accuracies of a Trading Rule Mining Method Based on Temporal Pattern Extraction. MCD (2007)
Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi
Evaluation of rule interestingness measures in medical knowledge discovery in databases. Artif. Intell. Medicine 41 (3) (2007)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
Evaluating a Constructive Meta-learning Algorithm for a Rule Evaluation Support Method Based on Objective Indices. KES (2) (2007)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
Evaluating Learning Algorithms to Support Human Rule - Evaluation Based on Objective Rule Evaluation Indices. Data Sci. J. 6 (2007)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi
Evaluating Learning Algorithms with Meta-learning Schemes for a Rule Evaluation Support Method Based on Objective Indices. PKAW (2006)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
Developing a Rule Evaluation Support Method Based on Objective Indices. RSKT (2006)
Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi
Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures. ICDM Workshops (2006)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices. RSCTC (2006)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. PAKDD (2006)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method. ICDM Workshops (2006)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
Evaluating Model Construction Methods with Objective Rule Evaluation Indices to Support Human Experts. MDAI (2006)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. ISMIS (2006)
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
A Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes. ICDM (2005)
Hidenao Abe, Miho Ohsaki, Shusaku Tsumoto, Takahira Yamaguchi
Evaluating a Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indices - A Case Study with a Meningitis Data Mining Result. HIS (2005)
Hidenao Abe, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi
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. JSAI Workshops (2005)
Miho Ohsaki, Shinya Kitaguchi, Kazuya Okamoto, Hideto Yokoi, Takahira Yamaguchi
Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis. PKDD (2004)
Miho Ohsaki, Yoshinori Sato, Shinya Kitaguchi, Hideto Yokoi, Takahira Yamaguchi
Comparison between Objective Interestingness Measures and Real Human Interest in Medical Data Mining. IEA/AIE (2004)
Miho Ohsaki, Shinya Kitaguchi, Hideto Yokoi, Takahira Yamaguchi
Investigation of Rule Interestingness in Medical Data Mining. Active Mining (2003)
Miho Ohsaki, Yoshifumi Banno, Tomohiro Yoshikawa, Tsuyoshi Shinogi, Nobuharu Tsuruoka
Sampling point extraction based on genetic algorithm and function approximation of a search space. CIRA (2003)
Miho Ohsaki, Takahiro Sugiyama, Hideaki Ohno
Evaluation of edge detection methods through psychological tests-is the detected edge really desirable for humans? SMC (2000)
Miho Ohsaki, Hideyuki Takagi
Improvement of presenting interface by predicting the evaluation order to reduce the burden of human interactive EC operators. SMC (1998)
Miho Ohsaki, Hideyuki Takagi, Kimiko Ohya
An input method using discrete fitness values for interactive GA. J. Intell. Fuzzy Syst. 6 (1) (1998)