主な論文      Major Papers
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Hideo Hirose, Accurate Student Ability Estimation by Removing Teacher Evaluation Bias via Full Computer Based Testing,International Journal of Learning Technologies and Learning Environments (IJLTLE), Vol 4, No 1, pp.**-**, ****, 2022. Abstract pdf

Hideo Hirose, Current Failure Prediction for Final Examination via Nearest Neighbor Method using Past Trends of Weekly Online Testing, International Journal of Learning Technologies and Learning Environments (IJLTLE), Vol 4, No 1, pp.**-**, ****, 2022. Abstract pdf

Hideo Hirose, Prediction of Success or Failure for Examination using Nearest Neighbor Method to the Trend of Weekly Online Testing,International Journal of Learning Technologies and Learning Environments (IJLTLE), Vol 2, No 1, pp.19-34, May 31, 2019. Abstractpdf

Hideo Hirose, Relationship Between Testing Time and Score in CBT,International Journal of Learning Technologies and Learning Environments (IJLTLE), Vol 2, No 1, pp.35-52, May 31, 2019. Abstractpdf

Hideo Hirose, Key Factor Not to Drop Out is to Attend Lectures,Information Engineering Express, Vol 5, No 1, pp.11-21, May 31, 2019. Abstract pdf

Hideo Hirose, A Probability Perspective to a Combinatorics Problem,Mathematics Magazine, 92(2), 123-125, 2019. Abstract

廣瀬: ラーニングアナリティクス指向学習支援, コンピュータ&エデュケーション(CIEC), Vol.45, pp.23-30 (2018.12) Abstract pdf

H. Hirose, M. Takatou, A Combinatoric Problem Solved via Algebra Interpretation, Bulletin of Informatics and Cybernetics Research Association of Statistical Sciences, Vol.50, pp.15-17, December 2018. Abstract

廣瀬 : 大規模授業支援テスティングシステムとそのラーニングアナリティクス, 統計数理, Vol.66, No.1, pp.79-96, (2018.6) Abstract pdf

Hideo Hirose, Difference Between Successful and Failed Students Learned from Analytics of Weekly Learning Check Testing,Information Engineering Express, Vol 4, No 1, pp.11-21, March 31, 2018. Abstract pdf

廣瀬 : 災害による被害拡大の予測について―感染症流行の予測を中心に―,IEICE Fundamentals Review, Vol.10, No.4, pp.266-274, (2017.4.3)Abstract pdf

T. Sakumura, H. Hirose, A Bias Reduction of Abilities for Adaptive Online IRT Testing Systems, International Journal of Smart Computing and Artificial Intelligence (IJSCAI), Vol.1, No.1, pp.59-72, 2017.4 Abstract pdf

Hideo HIROSE, Dually Adaptive Online IRT Testing System, Bulletin of Informatics and Cybernetics Research Association of Statistical Sciences, Vol.48, pp.1-17, December 2016. Abstract pdf

Hideo HIROSE, Masakazu Tokunaga, Takenori Sakumura, Junaida Sulaiman, Herdianti Darwis: Matrix Approach for the Seasonal Infectious Disease Spread Prediction, IEICE Transactions on Fundamentals, Vol.E98-A, No.10, pp.2010-2017, Oct.1, 2015.Abstract

Junaida Sulaiman, Herdianti Darwis, and Hideo Hirose, Monthly Maximum Accumulated Precipitation Forecasting using Local Precipitation Data and Global Climate Modes, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.18, No.6 pp.999-1006 (2014.11) Abstract

H. Hirose, T. Sakumura, and N. Tabuchi: Optimum and Semi-optimum Life Test Plans of Electrical Insulation for Thermal Stress, IEEE Trans., Dielectrics and Electrical Insulation, Vol. 22, Issue 1, pp. 488-494, February 2015. DOI: 10.1109/TDEI.2014.004506 Abstract

H. Hirose, T. Sakumura: Foundation of Mathematical Deterioration Models for the Thermal Stress, IEEE Trans., Dielectrics and Electrical Insulation, Vol. 22, Issue 1, pp. 482-487, February 2015. DOI: 10.1109/TDEI.2014.004450 Abstract

作村,徳永,廣瀬 : EMタイプIRTによる不完全マトリクスの完全化とその応用, 情報処理学会論文誌, 数理モデル化と応用 Vol.7 , No.2 , pp.17-26 (2014.11) Abstract

小林, 廣瀬: プロトタイピングツールとディジタル工作機械を活用した工学教育の事例紹介, 工学教育, Vol.62, No.4, pp.19-21, (2014.7), J. Kobayashi, H. Hirose, Engineering Education Utilizing Prototyping Tools and Digital Mechine Tools, Journal of Japanese Society for Engineeing Education, Vol.62, No.4, pp.19-21, (2014.7) Abstract

H. Hirose, Y. Koyanagi: PoP: Prediction on Predictions with Ensemble Method, IAENG International Journal of Applied Mathematics, Vol.44 Issue 2, pp.103-108, June 2014, Advance Online Version Available: 27 May 2014 Abstract

H. Hirose, T. Sakumura, T. Kuwahata, Score allotment optimization method with application to comparison of ability evaluation in testing between classical test theory and item response theory, Information, Vol.17, No. 2, pp.391-410 (2014.2) Abstract pdf

H. Hirose, Pandemic Simulations by MADE: A combination of Multi-agent and Differential Equations, with Novel Influenza A(H1N1) ,Information, Vol.16, No.7B, pp.5365-5390 (2013.7) Abstract

S. Monira SUMI, M. Faisal ZAMAN, Hideo HIROSE, A rainfall forecasting method using machine learning models and its application to Fukuoka city case, International Journal of Applied Mathematics and Computer Science, Vol. 22, No. 4, pp.841-854, (2012.12) DOI: 10.2478/v10006-012-0062-1. Abstract

H. Hirose: Estimation of the number of failures in the Weibull model using the ordinary differential equation, European Journal of Operational Research , Vol.223, No.3, pp. 722-731 (2012.12.16)Available online 2012.8.3http://dx.doi.org/10.1016/j.ejor.2012.07.011 Abstract publisher

H. Hirose, T. Sakumura: The Extended Cumulative Exposure Model (ECEM) and Its Application to Oil Insulation Test, IEEE Transactions on Reliability, Vol.61, No.3, pp.625-633 (2012.9), DOI 10.1109/TR.2012.2207575 Abstract 2012年度IEEE Reliability Society Japan Chapter Awards(論文賞)

F. Zaman, H. Hirose: DF-SVM: a decision forest constructed on artificially enlarged feature space by support vector machine , Artificial Intelligence Review, Vol.40, No.4, pp.467-494, 発行: DEC 2013; 14 January 2012, pp.1-28. online first 1/14/2012 doi:10.1007/s10462-011-9291-1. Abstract

H. Hirose and F. Zaman: More Accurate Diagnosis in Electric Power Apparatus Conditions Using Ensemble Classification Methods, IEEE Trans., Dielectrics and Electrical Insulation, Vol.18(5), pp.1584-1590 (2011.10) DOI: 10.1109/TDEI.2011.6032828 Abstract

廣瀬,松隈,作村 : 感染病拡大予測モデルとその考察, 情報処理学会論文誌,数理モデル化と応用 Vol.4 , No.3 , pp.102-109 (2011.7) Abstract

H. Hirose, Validities of the Signed and Unsigned Lecture Questionnaires Using the Item Response Theory, US-China Education Review , Vol.1, No.5, pp.627-635 (2011.10) Abstract

H. Hirose, Bump Hunting using the Tree-GA, Information, Vol.14, No.10, pp.3409-3424, (2011.10) Abstract

Zaman M. Faisal, H. Hirose, Classification Performance of Bagging and Boosting Type Ensemble Methods with Small Training Sets, New Generation Computing, special issue on Hybrid and Ensemble Methods in Machine Learning, Vol. 29, No. 3, pp.pp.277-292 , August 2011. Abstract

G. Ueta, T. Tsuboi, J. Takami, S. Okabe, H. Hirose : Evaluation of Overshoot Rate of Impulse Withstand Test Waveforms Based on New Base Curve Fitting Methods, IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 17, No. 4, pp. 1336-1345 (2010.8) Abstract

T. Sakumura, H. Hirose: Test evaluation system via the Web using the item response theory, Information, Vol.13, No.3, pp.647-656 (2010.5)Abstract

H. Hirose and F. Zaman: Diagnosis Accuracy in Electric Power Apparatus Conditions Using Classification Methods, IEEE Trans., Dielectrics and Electrical Insulation, No.17, pp. 271-279 (2010.2)Abstract

S. Okabe, T. Tsuboi, G. Ueta, J. Takami, H. Hirose : Basic Study of Fitting Method for Base Curve Extraction in Lightning Impulse Test Techniques, IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 17, No. 1, pp. 2-4 (2010.2) Abstract

廣瀬,鶴,北村,坪井,岡部:電力機器の異常状態同定における同定精度, 日本信頼性学会誌, Vol.31, No.5, pp.371-376 (2009.7, 平成21.7), H. Hirose, K. Tsuru, A. Kitamura, T. Tsuboi, S. Okabe, Identifying Accuracy for Anomalous Conditions in Electric Power Apparatus, Vol.31, No.5, pp.371-376 (2009.7, 平成21.7) Abstract

H. Hirose: An optimal test design to evaluate the ability of an examinee by using the stress-strength model, Journal of Statistical Computation and Simulation, Vol.81, No.1, pp. 79-87 (2011.1); first published 12/09/2009 (iFirst) DOI:10.1080/00949650903185979Abstract

H. Hirose, K. Tsuru, T. Tsuboi, and S. Okabe: Estimation for the Parameters in the Step-up Voltage Test under the Weibull Power Law Model, IEEE Trans., Dielectrics and Electrical Insulation, Vol.16, No.6, pp. 1755-1760 (2009.12) Abstract

T. Tsuboi, S. Okabe, J. Takami, and H. Hirose, K. Tsuru: Analytical Evaluation of Dielectric Breakdown Test Based One-Minute Step-up Method, IEEE Trans., Dielectrics and Electrical Insulation, Vol.16, No.5, pp. 1393-1396 (2009.10) Abstract

S. Takimoto and H. Hirose: Recommendation systems and their preference prediction algorithms in a large-scale database,Information, Vol.12, No.5, pp.1165-1182 (2009.9) Abstract

K. Tsuru and H. Hirose: Estimation for the Weibull power law parameters in the step-up voltage test, Engineering Letters, Vol.17 Issue 2, pp.141-145, June 2009, Advance Online Version Available: 22 May 2009 Abstract

F. Zaman and H. Hirose: Double SVMBagging: A new double bagging with support vector machine, Engineering Letters, Vol.17 Issue 2, pp.128-140, June 2009, Advance Online Version Available: 22 May 2009 Abstract

Y. Toyosaka, H. Hirose: The consistency of the pandemic simulations between the SEIR model and the MAS model, IEICE Transactions on Fundamentals, Vol.E92-A, No.7, pp.1558-1562 (2009.7) Abstract

H. Hirose: Estimation for the size of fragile population in the trunsored and truncated models with application to the confidence interval for the case fatality ratio of SARS, Information, Vol.12, No.1, pp.33-50 (2009.1) Abstract

H. Hirose, M. Hikita, S. Ohtsuka, S. Tsuru and J. Ichimaru: Diagnosis of Electric Power Apparatuses using the Decision Tree Method, IEEE Trans., Dielectrics and Electrical Insulation, Vol.15, No.5, pp. 1252-1260 (2008.10) Abstract

月原, 鈴木, 廣瀬: 項目反応理論による評価を加味した数学テストとe-learningシステムへの実装の試み, コンピュータ&エデュケーション(CIEC), Vol.24, pp.70-76 (2008.6), Y. Tsukihara, K. Suzuki, H. Hirose, A small implementation case of the mathematics tests with the Item Response Theory evaluation into an e-learning system,Computer & Education , Vol.24, pp.70-76 (2008.6) CIEC論文賞を受賞Abstract

廣瀬,鶴:決定木とワイブルべき乗則とを組み合わせた電力ケーブルの劣化要因分析とその余寿命推定, 日本信頼性学会誌, Vol.30, No.3, pp.195-203 (2008.3, 平成20.3), Deterioration Factor Analysis and Remaining Lifetime Estimation of Electric Power Cables using the Combination of the Decision Tree and the Weibull-power-law, Vol.30, No.3, pp.195-203 (2008.3) Abstract

T. Yukizane, S. Ohi, E. Miyano, H. Hirose, The bump hunting method using the genetic algorithm with the extreme-value statistics, IEICE Transactions D: on Information and Systems, Vol.E89-D, No.8, pp.2332-2339 (2006.8) Invited Papers from New Horizons in Computing Abstract

H. Hirose: The mixed trunsored model with applications to SARS,Mathematics and Computers in Simulation, Vol.74, No.6, pp.443-453 (2007.4) Available online 2 October 2006 Abstract publisher

H. Hirose: More accurate breakdown voltage estimation for the new step-up test method in the gumbel distribution model, European Journal of Operational Research , Vol.177, No.1, pp. 406-419 (2007.2.16) Available online 3 February 2006 Abstract publisher

廣瀬: 統合化と個別化とを組み合わせた授業アンケート, 工学教育, Vol.54, No.2, pp.116-120, (2006.3) H. Hirose, Combined quationnaire system of the integrated and individualized quationnaires for the lectures,Journal of Japanese Society for Engineeing Education, Vol. 54., No.2,pp.116-120, (2006.3) Abstract

H. Hirose, A. Todoroki: Random number generation for the generalized normal distribution using the modified adaptive rejection method, Information, Vol.8, No.6, pp.829-835 (2005.11) Abstract

H. Hirose: The Trunsored Model and Its Applications to Lifetime Analysis: Unified Censored and Truncated Models, IEEE Transactions on Reliability, Vol.54, No.1, pp.11-21 (2005.3) IEEE Reliability Japan Chapter Award (Best Paper) を受賞 Abstract

H. Hirose: More Accurate Breakdown Voltage Estimation for the New Step-up Test Method for Various Probability Distribution Models, IJEE Trans., A, Vol.124, No.7, pp.587-592 (2004.7) Abstract

H. Hirose: More Accurate Breakdown Voltage Estimation for the New Step-up Test Method, IEEE Trans., Dielectrics and Electrical Insulation, Vol.10, No.3, pp. 475-482 (2003.6) Abstract

H. Hirose: Maximum likelihood parameter estimation in the extended Weibull distribution and its applications to breakdown voltage estimation (vol 9, pg 524, 2002), IEEE Trans., Dielectrics and Electrical Insulation, Vol.10, No.1, p. 186 (2003.2) Abstract

廣瀬: Web授業アンケート, コンピュータ&エデュケーション(CIEC), Vol.13, pp.80-84 (2002.11), H. Hirose, Lecture Questionnaire using the Web, Computer & Education , Vol.13, pp.80-84 (2002.11)Abstract

H. Hirose: Maximum likelihood parameter estimation in the extended Weibull distribution and its applications to breakdown voltage estimation, IEEE Trans., Dielectrics and Electrical Insulation, Vol.9, No.4, pp. 524-536 (2002.8) Abstract

H. Hirose: Maximum likelihood parameter estimation by model augmentation with applications to the extended four-parameter generalized gamma distribution, Mathematics and Computers in Simulation, Vol.54, No.3, pp.81-97 (2000.11) Abstract

廣瀬:ワイブル分布の統計的推測とその周辺: 3パラメータワイブル分布を中心に, 日本信頼性学会誌, Vol.22, No.5, pp.473-489 (平成12.7), H. Hirose, Statistical Inference on the Weibull Distribution and Its Related Topics: Three-parameter Case,Vol.22, No.5, pp.473-489 (2000.7)Abstract

H. Hirose: Parameter Estimation for the 3-Parameter Gamma Distribution Using the Continuation Method, IEEE Transactions on Reliability, Vol.47, No.2, pp.188-196 (1998.6) Abstract

H. Hirose: Mixture Model of the Power Law, IEEE Transactions on Reliability, Vol.46, No.1, pp.146-153 (1997.3) Abstract

H. Hirose, T.L. Lai : Inference from Grouped Data in Three-Parameter Weibull Models With Applications to Breakdown Voltage Experiments,Technometrics, Vol.39, No.2, pp.199-210 (1997.5) Abstract

広瀬, 戸谷, 中川, 内田:混合ワイブルべき乗則を用いた余寿命推定, 電気学会論文誌B, Vol.116-B, No.12, pp.1587-1594 (平成8.12), H. Hirose, Residual Lifetime Estimation by the Mixture Weibull-Power-Law Model, Trans. IEE of Japan, Vol.116-B, No.12, pp.1587-1594 (1996.12) Abstract

H. Hirose : Estimation of The Threshold Stress in Accelerated Life Testing, IEEE Transactions on Reliability, Vol.42 , No.4 , pp.650-657 (1993.12) Abstract

広瀬:電気機器の絶縁試験法の信頼性向上に関する理論的研究, 名古屋大学, pp.1-202 (昭和63.5), H. Hirose, A study on the reliability of dielectric tests applied for electrical apparatuses, Ph.D Thesis, Nagoya University (1988.5)

H. Hirose : A Method to Estimate the Lifetime of Solid Electrical Insulation, IEEE Trans., Electrical Insulation, Vol.EI-22, No.6, pp.745-753 (1987.12) Abstract

広瀬:長時間V-t 特性における最適数学モデル選定と寿命推定の統計的方法,電気学会論文誌A, Vol.108-A, No.10, pp.451-458 (昭和62.10), H. Hirose, A Statistical Method of Optimum Mathematical Model Selection and Lifetime Estimation in Long-term V - t Characteristics, Trans. IEE of Japan, Vol.108-A, No.10, pp.451-458 (1987.10), 論文賞を受賞, 発見と発明のデジタル博物館-卓越研究データベース(日本), Abstract

広瀬:長時間V-t(電圧-寿命)特性に用いられる数学モデルについての一考察, 電気学会論文誌A, Vol.106, No.4, pp.185-192 (昭和61.4), H. Hirose, A Consideration on Mathematical Models Applied for Long-Term V-t ( Voltage-Lifetime) Characteristics, Trans. IEE of Japan, Vol.106-A, No.4, pp.185-192 (1986.4) Abstract

広瀬:昇降法と補間法を組み合わせたインパルスフラッシオーバ電圧の推定,電気学会論文誌A, Vol.105, No.11, pp.581-588 (昭和60.11), H. Hirose, Estimation of ImpuIse Flashover Voltage by Combined Method of Up-and-Down Method and Interpolation Method, Trans. IEE of Japan, Vol.105-A, No.11, pp.581-588 (1985.11) Abstract

広瀬:上昇法によるインパルス絶縁破壊電圧の推定, 電気学会論文誌A, Vol.104, No.8, pp.464-470 (昭和59.8), H. Hirose, Estimation of ImpuIse Dielectric Breakdown Voltage by Step-up Method, Trans. IEE of Japan, Vol.104-A, No.8, pp.464-470 (1984.8) Abstract