Miho Ohsaki
Orcid: 0000-0002-6766-2928
According to our database1,
Miho Ohsaki
authored at least 59 papers
between 1998 and 2022.
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Bibliography
2022
Proceedings of the 2022 5th International Conference on Signal Processing and Machine Learning, 2022
An Investigation of Feature Difference Between Child and Adult Voices Using Line Spectral Pairs.
Proceedings of the 2022 5th International Conference on Signal Processing and Machine Learning, 2022
Experiment to Investigate Awareness of Tastes for Users in Interactive Evolutionary Computation.
Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022
2021
J. Signal Process. Syst., 2021
NNR-GL: A Measure to Detect Co-Nonlinearity Based on Neural Network Regression Regularized by Group Lasso.
IEEE Access, 2021
Evaluation of the Neural-network-based Method to Discover Sets and Representatives of Nonlinearly Dependent Variables.
Proceedings of the 5th IEEE International Conference on Cybernetics, 2021
2020
A Practical Method Based on Bayes Boundary-Ness for Optimal Classifier Parameter Status Selection.
J. Signal Process. Syst., 2020
Genetic Algorithms Using Neural Network Regression and Group Lasso for Dynamic Selection of Crossover Operators.
Proceedings of the Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, 2020
2019
Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition.
Proceedings of the 2nd International Conference on Signal Processing and Machine Learning, 2019
Proceedings of the 2nd International Conference on Signal Processing and Machine Learning, 2019
Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019
2018
Body Part Diagram Recognition in Medical Records: Application of the Histograms of Oriented Gradients and the Mahalanobis-Distance-Based Classifier.
Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Discovery of Sets and Representatives of Variables in Co-nonlinear Relationships by Neural Network Regression and Group Lasso.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification.
IEEE Trans. Knowl. Data Eng., 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Minimum Classification Error Training Incorporating Automatic Loss Smoothness Determination.
J. Signal Process. Syst., 2014
Robust and Efficient Pattern Classification using Large Geometric Margin Minimum Classification Error Training.
J. Signal Process. Syst., 2014
2012
Application of kernel logistic regression to the prediction of liver fibrosis stages in chronic hepatitis C.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012
Increasing virtual samples through loss smoothness determination in large geometric margin minimum classification error training.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Minimum classification error training with geometric margin enhancement for robust pattern recognition.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
2010
Int. J. Adv. Intell. Paradigms, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Evaluating Learning Algorithms Composed by a Constructive Meta-learning Scheme for a Rule Evaluation Support Method.
Proceedings of the Mining Complex Data, 2009
Proceedings of the ICDM 2009, 2009
Improvement of interactive EC fitting based on substitute evaluation using sound volume preference.
Proceedings of the FUZZ-IEEE 2009, 2009
2008
Evaluating Learning Algorithms to Support Human Rule Evaluation with Predicting Interestingness Based on Objective Rule Evaluation Indices.
Proceedings of the Communications and Discoveries from Multidisciplinary Data, 2008
Proceedings of the Practical Aspects of Knowledge Management, 7th International Conference, 2008
2007
IEEE Trans. Evol. Comput., 2007
Numerical Time-Series Pattern Extraction Based on Irregular Piecewise Aggregate Approximation and Gradient Specification.
New Gener. Comput., 2007
Evaluating Learning Algorithms to Support Human Rule - Evaluation Based on Objective Rule Evaluation Indices.
Data Sci. J., 2007
Evaluation of rule interestingness measures in medical knowledge discovery in databases.
Artif. Intell. Medicine, 2007
Proceedings of the IEEE International Conference on Systems, 2007
Evaluating Learning Models with Transitions of Human Interests Based on Objective Rule Evaluation Indices.
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007
Evaluating a Constructive Meta-learning Algorithm for a Rule Evaluation Support Method Based on Objective Indices.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007
Developing an Integrated Time-Series Data Mining Environment for Medical Data Mining.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Evaluation of Learning Costs of Rule Evaluation Models Based on Objective Indices to Predict Human Hypothesis Construction Phases.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007
Evaluating Accuracies of a Trading Rule Mining Method Based on Temporal Pattern Extraction.
Proceedings of the Mining Complex Data, ECML/PKDD 2007 Third International Workshop, 2007
Evaluating Learning Algorithms to Construct Rule Evaluation Models Based on Objective Rule Evaluation Indices.
Proceedings of the Six IEEE International Conference on Cognitive Informatics, 2007
2006
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006
Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices.
Proceedings of the Rough Sets and Current Trends in Computing, 2006
Evaluating Learning Algorithms with Meta-learning Schemes for a Rule Evaluation Support Method Based on Objective Indices.
Proceedings of the Advances in Knowledge Acquisition and Management, 2006
Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006
Evaluating Model Construction Methods with Objective Rule Evaluation Indices to Support Human Experts.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2006
Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006
Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
2005
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.
Proceedings of the New Frontiers in Artificial Intelligence, 2005
A Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Evaluating a Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indices - A Case Study with a Meningitis Data Mining Result.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
2004
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004
Comparison between Objective Interestingness Measures and Real Human Interest in Medical Data Mining.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004
2003
Sampling point extraction based on genetic algorithm and function approximation of a search space.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003
Proceedings of the Active Mining, Second International Workshop, 2003
2000
Evaluation of edge detection methods through psychological tests-is the detected edge really desirable for humans?
Proceedings of the IEEE International Conference on Systems, 2000
1998
J. Intell. Fuzzy Syst., 1998
Improvement of presenting interface by predicting the evaluation order to reduce the burden of human interactive EC operators.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998