Maximum Likelihood Estimation in a Mixture Regression Model Using the Continuation Method. - Hideo Hirose; Yoshio Komori (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003)

The Bump Hunting Method Using the Genetic Algorithm with the Extreme-Value Statistics. - Takahiro Yukizane; Shin-ya Ohi; Eiji Miyano; Hideo Hirose (IEICE Trans. Inf. Syst., 2006)

The Bump Hunting Method and Its Accuracy Using the Genetic Algorithm with Application to Real Customer Data. - Hideo Hirose; Takahiro Yukizane; T. Deguchi (CIT, 2007)

More accurate breakdown voltage estimation for the new step-up test method in the gumbel distribution model. - Hideo Hirose (Eur. J. Oper. Res., 2007)

The mixed trunsored model with applications to SARS. - Hideo Hirose (Math. Comput. Simul., 2007)

An Experimental Study on a New Ensemble Method using Robust and Order Statistics. - Faisal Zaman; Hideo Hirose (DMIN, 2009)

Pandemic Simulations by MADE: A Combination of Multi-agent and Differential Euations. - Yuki Toyosaka; Hideo Hirose (PDPTA, 2009)

Effect of Subsampling Rate on Subbagging and Related Ensembles of Stable Classifiers. - Faisal Zaman; Hideo Hirose (PReMI, 2009)

Estimation for the Weibull Power Law Parameters in the Step-up Voltage Test. - Kotaro Tsuru; Hideo Hirose (Eng. Lett., 2009)

Double SVMBagging: A New Double Bagging with Support Vector Machine. - Faisal Zaman; Hideo Hirose (Eng. Lett., 2009)

The Consistency of the Pandemic Simulations between the SEIR Model and the MAS Model. - Yuki Toyosaka; Hideo Hirose (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

A Comparative Study on the Performance of Several Ensemble Methods with Low Subsampling Ratio. - Faisal Zaman; Hideo Hirose (ACIIDS (2), 2010)

On Selecting Additional Predictive Models in Double Bagging Type Ensemble Method. - Faisal Zaman; Mohammad Mesbah Uddin; Hideo Hirose (ICCSA (4), 2010)

Assessment of the Trade-off Curve Accuracy in the Bump Hunting Using the Tree-GA. - Hideo Hirose (WKDD, 2010)

A Novel Hybrid Forecast Model with Weighted Forecast Combination with Application to Daily Rainfall Forecast of Fukuoka City. - Sirajum Monira Sumi; Faisal Zaman; Hideo Hirose (ACIIDS (2), 2011)

Estimation of Optimal Sample Size of Decision Forest with SVM Using Embedded Cross-Validation Method. - Faisal Zaman; Hideo Hirose (ACIIDS (2), 2011)

A Neural Network Ensemble Incorporated with Dynamic Variable Selection for Rainfall Forecast. - Sirajum Monira Sumi; Faisal Zaman; Hideo Hirose (SNPD, 2011)

Classification Performance of Bagging and Boosting Type Ensemble Methods with Small Training Sets. - Faisal Zaman; Hideo Hirose (New Gener. Comput., 2011)

DRFLogitBoost: A Double Randomized Decision Forest Incorporated with LogitBoosted Decision Stumps. - Faisal Zaman; Sirajum Monira Sumi; Hideo Hirose (ACIIDS (1), 2012)

NNRMLR: A Combined Method of Nearest Neighbor Regression and Multiple Linear Regression. - Hideo Hirose; Yusuke Soejima; Kei Hirose (IIAI-AAI, 2012)

Prediction of Infectious Disease Spread Using Twitter: A Case of Influenza. - Hideo Hirose; Liangliang Wang (PAAP, 2012)

A rainfall forecasting method using machine learning models and its application to the Fukuoka city case. - Sirajum Monira Sumi; Faisal Zaman; Hideo Hirose (Int. J. Appl. Math. Comput. Sci., 2012)

Estimation of the number of failures in the Weibull model using the ordinary differential equation. - Hideo Hirose (Eur. J. Oper. Res., 2012)

DF-SVM: a decision forest constructed on artificially enlarged feature space by support vector machine. - Faisal Zaman; Hideo Hirose (Artif. Intell. Rev., 2013)

Bias Correction for the Trade-Off Curve in the Tree-Ga Bump Hunting. - Yu Aizawa; Hideo Hirose (IIAI-AAI, 2014)

Monthly Maximum Accumulated Precipitation Forecasting Using Local Precipitation Data and Global Climate Modes. - Junaida Binti Sulaiman; Herdianti Darwis; Hideo Hirose (J. Adv. Comput. Intell. Intell. Informatics, 2014)

Optimum Life Test Plan under the Thermal Stress Deterioration Using the Mechanical Strength. - Naoki Tabuchi; Shinya Nakano; Hideo Hirose (ACIT-CSI, 2015)

Matrix Approach for the Seasonal Infectious Disease Spread Prediction. - Hideo Hirose; Masakazu Tokunaga; Takenori Sakumura; Junaida Binti Sulaiman; Herdianti Darwis (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Meticulous Learning Follow-Up Systems for Undergraduate Students Using the Online Item Response Theory. - Hideo Hirose (IIAI-AAI, 2016)

Learning Analytics to Adaptive Online IRT Testing Systems "Ai Arutte" Harmonized with University Textbooks. - Hideo Hirose (IIAI-AAI, 2016)

Questions and Answers Database Construction for Adaptive Online IRT Testing Systems: Analysis Course and Linear Algebra Course. - Hideo Hirose; Masanori Takatou; Yusuke Yamauchi; Tetsuji Taniguchi; Tatsuhiro Honda; Fujio Kubo; Mitsunori Imaoka; Tetsuya Koyama (IIAI-AAI, 2016)

Bias Reduction of Abilities for Adaptive Online IRT Testing Systems. - Takenori Sakumura; Hideo Hirose (IIAI-AAI, 2016)

Evaluation of Abilities by Grouping for Small IRT Testing Systems. - Yoshiko Tokusada; Hideo Hirose (IIAI-AAI, 2016)

Rediscovery of Initial Habituation Importance Learned from Analytics of Learning Check Testing in Mathematics for Undergraduate Students. - Hideo Hirose; Masanori Takatou; Yusuke Yamauchi; Fujio Kubo; Tetsuji Taniguchi; Mitsunori Imaoka; Tetsuya Koyama (IIAI-AAI, 2017)

Success/Failure Prediction for Final Examination Using the Trend of Weekly Online Testing. - Hideo Hirose (IIAI-AAI, 2018)

Attendance to Lectures is Crucial in Order not to Drop Out. - Hideo Hirose (IIAI-AAI, 2018)

Time Duration Statistics Spent for Tackling Online Testing. - Hideo Hirose (IIAI-AAI, 2018)

Prediction of Success or Failure for Final Examination using Nearest Neighbor Method to the Trend of Weekly Online Testing. - Hideo Hirose (CoRR, 2019)

Current Failure Prediction for Final Examination using Past Trends of Weekly Online Testing. - Hideo Hirose (IIAI-AAI, 2020)

More Accurate Evaluation of Student's Ability Based on A Newly Proposed Ability Equation. - Hideo Hirose (IIAI-AAI, 2020)

Matrix Decomposition Perspective for Accuracy Assessment of Item Response Theory. - Hideo Hirose (CoRR, 2022)

An Insight to Estimated Item Response Matrix in Item Response Theory. - Hideo Hirose (IEEE Access, 2023)