Student Models Construction by Using Information Criteria. - Maomi Ueno (ICALT, 2001)

Online Outlier Detection System for Learning Time Data in E-Learning and Its Evaluation. - Maomi Ueno (CATE, 2004)

A Meta-Language for Portfolio Assessment. - Yasuhiko Morimoto; Maomi Ueno; Nobuyoshi Yonezawa; Setsuo Yokoyama; Youzou Miyadera (ICALT, 2004)

On-line Contents Analysis System for e-Learning. - Maomi Ueno (ICALT, 2004)

Data Mining and Text Mining Technologies for Collaborative Learning in an ILMS "Samurai". - Maomi Ueno (ICALT, 2004)

A Formal Method of Describing E-Learning Systems. - Yasuhiko Morimoto; Maomi Ueno; Setsuo Yokoyama; Youzou Miyadera (CELDA, 2005)

Modeling Language for Supporting Portfolio Assessment. - Yasuhiko Morimoto; Maomi Ueno; Masayuki Takahashi (ICALT, 2005)

Animated Pedagogical Agent Based on Decision Tree for e-Learning. - Maomi Ueno (ICALT, 2005)

On-Line Content Analysis System using e-Learning Time Data. - Maomi Ueno; Keizo Nagaoka (AICCSA, 2006)

Online MDL-Markov analysis of a discussion process in CSCL. - Maomi Ueno; Toshio Okamoto (ICALT, 2006)

Development of Portfolio Assessment Support System. - Yasuhiko Morimoto; Isao Kikukawa; Maomi Ueno; Setsuo Yokoyama; Youzou Miyadera (ICCE, 2006)

Collaborative E-Test Construction - Using Predicted Response-Time and Score Distributions to Improve Reliability. - Pokpong Songmuang; Maomi Ueno (ITEM, 2006)

Formal Method of Description Supporting Portfolio Assessment. - Yasuhiko Morimoto; Maomi Ueno; Isao Kikukawa; Setsuo Yokoyama; Youzou Miyadera (J. Educ. Technol. Soc., 2006)

An analysis using eye-mark recorder of the effectiveness of presentation methods for e-learning. - Masahiro Ando; Masahito Nagamori; Pokpong Songmuang; Maomi Ueno; Toshio Okamoto (ICALT, 2007)

A SCORM-compliant Learning Management System that Enhances Learning By Managing the Learning Itself. - Yasuhiko Morimoto; Maomi Ueno; Setsuo Yokoyama; Youzou Miyadera (ICALT, 2007)

Collaborative e-Learning Among Teachers Using a Web Database in Special Support Education. - Masahito Nagamori; Masahiro Ando; Masaki Nagasawa; Pokpong Songmuang; Maomi Ueno (ICALT, 2007)

Evaluating Learners' Knowledge-structure using Bayesian networks. - Yasuko Namatame; Maomi Ueno (ICALT, 2007)

E-Testing Construction Support System with some Prediction Tools. - Pokpong Songmuang; Masahiro Ando; Masahito Nagamori; Maomi Ueno; Toshio Okamoto (ICALT, 2007)

Bayesian Agent in e-Learning. - Maomi Ueno; Toshio Okamoto (ICALT, 2007)

The Effective Usage of the Results of Self-Check Quizzes. - Yasuko Namatame; Maomi Ueno (ICCE, 2007)

Cognitive Load Reduction on Multimedia E-Learning Materials. - Masahiro Ando; Maomi Ueno (ICALT, 2008)

Item Response Theory for Peer Assessment. - Maomi Ueno; Toshio Okamoto (ICALT, 2008)

System for Online Detection of Aberrant Responses in E-Testing. - Maomi Ueno; Toshio Okamoto (ICALT, 2008)

Minimum Free Energies with "Data Temperature" for Parameter Learning of Bayesian Networks. - Takashi Isozaki; Noriji Kato; Maomi Ueno (ICTAI (1), 2008)

Minimum Free Energy Principle for Constraint-Based Learning Bayesian Networks. - Takashi Isozaki; Maomi Ueno (ECML/PKDD (1), 2009)

"Data temperature" in Minimum Free energies for Parameter Learning of Bayesian Networks. - Takashi Isozaki; Noriji Kato; Maomi Ueno (Int. J. Artif. Intell. Tools, 2009)

Multiple Test Forms Construction based on Bees Algorithm. - Pokpong Songmuang; Maomi Ueno (EDM, 2010)

Analysis of the Advantages of Using Tablet PC in e-Learning. - Masahiro Ando; Maomi Ueno (ICALT, 2010)

Computerized Adaptive Testing Based on Decision Tree. - Maomi Ueno; Pokpong Songmuang (ICALT, 2010)

Detection of Mutually Dependent Test Items Using the LCI Test. - Takamitsu Hashimoto; Maomi Ueno (JSAI-isAI Workshops, 2010)

First International Workshop on Advanced Methodologies for Bayesian Networks. - Maomi Ueno; Takashi Isozaki (JSAI-isAI Workshops, 2010)

Learning networks determined by the ratio of prior and data. - Maomi Ueno (UAI, 2010)

Detecting Redundant Items in Construction of Multiple Equivalent Test Forms using Latent Dirichlet Allocation. - Pokpong Songmuang; Maomi Ueno; Keizo Nagaoka (ICCE, 2011)

Robust learning Bayesian networks for prior belief. - Maomi Ueno (UAI, 2011)

Latent Conditional Independence Test Using Bayesian Network Item Response Theory. - Takamitsu Hashimoto; Maomi Ueno (IEICE Trans. Inf. Syst., 2011)

Bees Algorithm for Construction of Multiple Test Forms in E-Testing. - Pokpong Songmuang; Maomi Ueno (IEEE Trans. Learn. Technol., 2011)

Special Issue on Advanced Methodologies for Bayesian Networks. - Maomi Ueno (New Gener. Comput., 2012)

Maximum Clique Algorithm for Uniform Test Forms Assembly. - Takatoshi Ishii; Pokpong Songmuang; Maomi Ueno (AIED, 2013)

Mobile Testing for Authentic Assessment in the Field. - Yoshimitsu Miyasawa; Maomi Ueno (AIED, 2013)

Adaptive Testing Based on Bayesian Decision Theory. - Maomi Ueno (AIED, 2013)

Goal-Based Messages Recommendation Utilizing Latent Dirichlet Allocation. - Sébastien Louvigné; Yoshihiro Kato; Neil Rubens; Maomi Ueno (ICALT, 2014)

Maximum Clique Algorithm and ItsApproximation for UniformTest Form Assembly. - Takatoshi Ishii; Pokpong Songmuang; Maomi Ueno (IEEE Trans. Learn. Technol., 2014)

Clique Algorithm to Minimize Item Exposure for Uniform Test Forms Assembly. - Takatoshi Ishii; Maomi Ueno (AIED, 2015)

SNS Messages Recommendation for Learning Motivation. - Sébastien Louvigné; Yoshihiro Kato; Neil Rubens; Maomi Ueno (AIED, 2015)

Probability Based Scaffolding System with Fading. - Maomi Ueno; Yoshimitsu Miyasawa (AIED, 2015)

Item Response Model with Lower Order Parameters for Peer Assessment. - Masaki Uto; Maomi Ueno (AIED, 2015)

Academic Writing Support System Using Bayesian Networks. - Masaki Uto; Maomi Ueno (ICALT, 2015)

Reliable Peer Assessment for Team-project-based Learning using Item Response Theory. - Nguyen Duc Thien; Masaki Uto; Yu Abe; Maomi Ueno (ICCE, 2015)

A Fast Clique Maintenance Algorithm for Optimal Triangulation of Bayesian Networks. - Chao Li 010; Maomi Ueno (AMBN@JSAI-isAI, 2015)

Constraint-Based Learning Bayesian Networks Using Bayes Factor. - Kazuki Natori; Masaki Uto; Yu Nishiyama; Shuichi Kawano; Maomi Ueno (AMBN@JSAI-isAI, 2015)

Item Response Theory for Peer Assessment. - Masaki Uto; Maomi Ueno (IEEE Trans. Learn. Technol., 2016)

Algorithm for Uniform Test Assembly Using a Maximum Clique Problem and Integer Programming. - Takatoshi Ishii; Maomi Ueno (AIED, 2017)

Group Optimization to Maximize Peer Assessment Accuracy Using Item Response Theory. - Masaki Uto; Nguyen Duc Thien; Maomi Ueno (AIED, 2017)

Consistent Learning Bayesian Networks with Thousands of Variables. - Kazuki Natori; Masaki Uto; Maomi Ueno (AMBN, 2017)

Curriculum development for Educational Technology based on comparisons of course syllabi resources using lexical analysis. - Minoru Nakayama; Katsuaki Suzuki; Chiharu Kogo; Maomi Ueno (EAI Endorsed Trans. e Learn., 2017)

An extended depth-first search algorithm for optimal triangulation of Bayesian networks. - Chao Li 010; Maomi Ueno (Int. J. Approx. Reason., 2017)

Preface: Special Issue on Advanced Methodologies for Bayesian Networks. - Maomi Ueno (New Gener. Comput., 2017)

Item Response Theory Without Restriction of Equal Interval Scale for Rater's Score. - Masaki Uto; Maomi Ueno (AIED (2), 2018)

Exact learning augmented naive Bayes classifier. - Shouta Sugahara; Masaki Uto; Maomi Ueno (PGM, 2018)

IRT-Based Adaptive Hints to Scaffold Learning in Programming. - Maomi Ueno; Yoshimitsu Miyazawa (IEEE Trans. Learn. Technol., 2018)

Uniform Adaptive Testing Using Maximum Clique Algorithm. - Maomi Ueno; Yoshimitsu Miyazawa (AIED (1), 2019)

Computerized Adaptive Testing Method Using Integer Programming to Minimize Item Exposure. - Yoshimitsu Miyazawa; Maomi Ueno (JSAI, 2019)

Neural Automated Essay Scoring Incorporating Handcrafted Features. - Masaki Uto; Yikuan Xie; Maomi Ueno (COLING, 2020)

Group Optimization to Maximize Peer Assessment Accuracy Using Item Response Theory and Integer Programming. - Masaki Uto; Nguyen Duc Thien; Maomi Ueno (IEEE Trans. Learn. Technol., 2020)

Integration of Automated Essay Scoring Models Using Item Response Theory. - Itsuki Aomi; Emiko Tsutsumi; Masaki Uto; Maomi Ueno (AIED (2), 2021)

Deep-IRT with independent student and item networks. - Emiko Tsutsumi; Ryo Kinoshita; Maomi Ueno (EDM, 2021)

AI based e-Testing as a common yardstick for measuring human abilities. - Maomi Ueno (JCSSE, 2021)

Exact Learning Augmented Naive Bayes Classifier. - Shouta Sugahara; Maomi Ueno (Entropy, 2021)

Two-Stage Uniform Adaptive Testing to Balance Measurement Accuracy and Item Exposure. - Maomi Ueno; Yoshimitsu Miyazawa (AIED (1), 2022)

DeepIRT with a Hypernetwork to Optimize the Degree of Forgetting of Past Data. - Emiko Tsutsumi; Yiming Guo; Maomi Ueno (EDM, 2022)

Recursive autonomy identification-based learning of augmented naive Bayes classifiers. - Shouta Sugahara; Wakaba Kishida; Koya Kato; Maomi Ueno (PGM, 2022)

Bayesian Network Model Averaging Classifiers by Subbagging. - Shouta Sugahara; Itsuki Aomi; Maomi Ueno (Entropy, 2022)

Hybrid Maximum Clique Algorithm Using Parallel Integer Programming for Uniform Test Assembly. - Kazuma Fuchimoto; Takatoshi Ishii; Maomi Ueno (IEEE Trans. Learn. Technol., 2022)

Item Difficulty Constrained Uniform Adaptive Testing. - Wakaba Kishida; Kazuma Fuchimoto; Yoshimitsu Miyazawa; Maomi Ueno (AIED (Posters/Late Breaking Results/...), 2023)

Automated Parallel Test Forms Assembly using Zero-suppressed Binary Decision Diagrams. - Kazuma Fuchimoto; Shin-ichi Minato; Maomi Ueno (IEEE Access, 2023)

Integration of Prediction Scores From Various Automated Essay Scoring Models Using Item Response Theory. - Masaki Uto; Itsuki Aomi; Emiko Tsutsumi; Maomi Ueno (IEEE Trans. Learn. Technol., 2023)

Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters. - Shouta Sugahara; Koya Kato; Maomi Ueno (AAAI, 2024)

Deep-IRT with a Temporal Convolutional Network for Reflecting Students' Long-Term History of Ability Data. - Emiko Tsutsumi; Tetsurou Nishio; Maomi Ueno (AIED (1), 2024)

Deep Knowledge Tracing Incorporating a Hypernetwork With Independent Student and Item Networks. - Emiko Tsutsumi; Yiming Guo; Ryo Kinoshita; Maomi Ueno (IEEE Trans. Learn. Technol., 2024)

Probability-Based Scaffolding System Using Sliding Hidden Markov IRT for Longitudinal Learning. - Maomi Ueno; Yoshimitsu Miyazawa; Emiko Tsutsumi (AIED (2), 2025)

Computerized Adaptive Testing to Balance Exposure Bias and Measurement Accuracy Using Zero-Suppressed Binary Decision Diagrams. - Maomi Ueno; Kazuma Fuchimoto; Wakaba Kishida; Yoshimitsu Miyazawa (IEEE Access, 2025)