植野晶, 渕本壱真, 植野真臣:項目露出を考慮した整数計画法による等質テスト構成,電子情報通信学会論文誌 D, Vol. J105–D,No.8 pp. 485–498(2022)(PDF)
Shouta Sugahara, Itsuki Aomi, and Maomi Ueno: Bayesian Network Model Averaging Classifiers by Subbagging. Entropy 2022, 24(5), 743; https://doi.org/10.3390/e24050743. (PDF)
Kazuma Fuchimoto, Takatoshi Ishii, and Maomi Ueno: Hybrid Maximum Clique Algorithm Using Parallel Integer Programming for Uniform Test Assembly,IEEE Transactions on Learning Technologies, vol. 15, no. 2, pp. 252-264, 1 April 2022,doi: 10.1109/TLT.2022.3163360.(PDF)
Emiko Tsutsumi, Ryo Kinoshita, Maomi Ueno :Deep Item Response Theory as a Novel Test Theory Based on Deep Learning, electronics, Vol.10, Issue.9, no.1020 (2021)(PDF)
Masaki Uto, Maomi Ueno:A generalized many-facet Rasch model and its Bayesian estimation using Hamiltonian Monte Carlo, Behaviormetrika, Springer, Vol.47, Issue.2, pp.469-496 (2020)(PDF)
Masaki Uto and Maomi Ueno: Empirical comparison of item response theory models with rater’s parameters, Heliyon, Vol. 4, Issue 5, P. e00622, Elsevier (2018),(PDF)
Minoru Nakayama, Katsuaki Suzuki, Chiharu Kogo, Maomi Ueno: Curriculum development for Educational Technology based on comparisons of course syllabi resources using lexical analysis, EAI Endorsed Transactions on e-Learning 4(16), pp.1-8 (2017),(PDF)
石井隆稔,赤倉貴子,植野真臣:複数等質テスト構成における整数計画問題を用いた最大クリーク探索の近似法,電子情報通信学会論文誌 D Vol. J100-D No. 1 pp.47-59, (2017)(PDF)
Chao Li , Maomi Ueno: An extended depth-first search algorithm for optimal triangulation of Bayesian networks, International Journal of Approximate Reasoning, Volume 80 Issue C, pp.294-312 (2017),(PDF)
Masaki Uto and Maomi Ueno, “Item Response Theory for Peer Assessment”, Item Response Theory for Peer Assessment”, IEEE Transactions on Learning Technologies, vol.9, no. 2, IEEE computer Society, pp.157-170(2016) (PDF)
Takatoshi Ishii, Pokpong Songmuang, Maomi Ueno: Maximum Clique Algorithm and ItsApproximation for UniformTest Form Assembly, IEEE Transactions on Learning Technologies,7(1) IEEE computer Society,1-13,2014,(PDF)
石井隆稔,ソンムァン・ポクポン,植野真臣:最大クリーク問題を用いた複数等質テスト自動構成, 電子情報通信学会論文誌 D. Vol.J97-D No2. pp.270-280 (2014)
Pokpong Songmuang and Maomi Ueno: Bees Algorithm for Construction of Multiple Test Forms in E-Testing, IEEE Transactions on Learning Technologies, IEEE computer Society, Vol. 4, No. 3, 209-221(2011),(PDF)
Takamitsu Hashimoto and Maomi Ueno: Latent Conditional Independence Test Using Bayesian Network Item Response Theory, IEICE Transactions on Information and Systems, Vol.E94.D, No.4, 743-753(2011),(PDF)
Minoru Nakayama and Maomi Ueno: Current educational technology research trends in Japan, Educational Technology Research and Development, Vol.57, No.2, 271-285(2009),(PDF)
Maomi Ueno: Intelligent LMS with an agent that learns from log data, Journal of Information and Systems in Education, Vol.7, No.1, 3-14(2009),(PDF)
Takashi Isozaki, Nojiri Kato, and Maomi Ueno: Data temperature” in minimum free energies for parameter learning of Bayesian networks, International Journal on Artificial Intelligence Tools, Vol.18, No.5, 653-671(2009)
Maomi Ueno: Web based computerized testing system for distance education, Educational Technology Research, Vol.28, No.1・2, 59-69(2005),(PDF)
Maomi Ueno: e-Learning in Technical and Vocational Education and Training, Journal for Vocational and Technical Education and Training, Vol.4, No.2, 53-65(2004)
Kwon, Son .Hak., Maomi Ueno, and Michio Sugeno: A consistent and bias corrected extension of Akaike Information Criterion (AIC), The society for Industrial and Applied Mathematics, Vol.2, No.1, 41-60(1998)
Maomi Ueno, Hitoshi Ohnishi, and Kazuo Shigemasu: Proposal of a test theory with probabilistic network, Electronics and Communications, John Willy and Sons, Inc., Vol.78, No.5, 54-66(1995)((39)の英語翻訳論文)
Maomi Ueno. and Keizo Nagaoka: A model for multiple-choice problem selection, Electronics and Communications, John Willy & Sons, Inc. Company, Vol.77, Issue 2, 14-23(1994)((46)の英語翻訳論文)
Kazuo Shigemasu and Maomi Ueno: A new item response model with parameters reflecting state of knowledge, Behaviormetrika, Vol.20, No.2, 161-169 (1993),(PDF)