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)

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)

Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters - Shouta Sugahara; Koya Kato; Maomi Ueno (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Deep-IRT with a Temporal Convolutional Network for Reflecting Students' Long-Term History of Ability Data - Emiko Tsutsumi; Tetsurou Nishio; Maomi Ueno (Artificial Intelligence in Education - 25th International Conference, AIED 2024, Recife, Brazil, July 8-12, 2024, Proceedings, Part I, 2024)

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)

Item Difficulty Constrained Uniform Adaptive Testing - Wakaba Kishida; Kazuma Fuchimoto; Yoshimitsu Miyazawa; Maomi Ueno (Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings, 2023)

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)

Two-Stage Uniform Adaptive Testing to Balance Measurement Accuracy and Item Exposure - Maomi Ueno; Yoshimitsu Miyazawa (Artificial Intelligence in Education - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part I, 2022)

DeepIRT with a Hypernetwork to Optimize the Degree of Forgetting of Past Data - Emiko Tsutsumi; Yiming Guo; Maomi Ueno (Proceedings of the 15th International Conference on Educational Data Mining, EDM 2022, Durham, UK, July 24-27, 2022, 2022)

Recursive autonomy identification-based learning of augmented naive Bayes classifiers - Shouta Sugahara; Wakaba Kishida; Koya Kato; Maomi Ueno (International Conference on Probabilistic Graphical Models, PGM 2022, 5-7 October 2022, Almería, Spain, 2022)

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

Integration of Automated Essay Scoring Models Using Item Response Theory - Itsuki Aomi; Emiko Tsutsumi; Masaki Uto; Maomi Ueno (Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings, Part II, 2021)

Deep-IRT with independent student and item networks - Emiko Tsutsumi; Ryo Kinoshita; Maomi Ueno (Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021, virtual, June 29 - July 2, 2021, 2021)

AI based e-Testing as a common yardstick for measuring human abilities - Maomi Ueno (18th International Joint Conference on Computer Science and Software Engineering, JCSSE 2021, Lampang, Thailand, June 30 - July 2, 2021, 2021)

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

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)

Neural Automated Essay Scoring Incorporating Handcrafted Features - Masaki Uto; Yikuan Xie; Maomi Ueno (Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, 2020)

Bayesian Network Model Averaging Classifiers by Subbagging - Shouta Sugahara; Itsuki Aomi; Maomi Ueno (International Conference on Probabilistic Graphical Models, PGM 2020, 23-25 September 2020, Aalborg, Hotel Comwell Rebild Bakker, Skørping, Denmark, 2020)

Uniform Adaptive Testing Using Maximum Clique Algorithm - Maomi Ueno; Yoshimitsu Miyazawa (Artificial Intelligence in Education - 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part I, 2019)

Computerized Adaptive Testing Method Using Integer Programming to Minimize Item Exposure - Yoshimitsu Miyazawa; Maomi Ueno (Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2019), Niigata, Japan, 4-7 June 2019, 2019)

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

Item Response Theory Without Restriction of Equal Interval Scale for Rater's Score - Masaki Uto; Maomi Ueno (Artificial Intelligence in Education - 19th International Conference, AIED 2018, London, UK, June 27-30, 2018, Proceedings, Part II, 2018)

Exact learning augmented naive Bayes classifier - Shouta Sugahara; Masaki Uto; Maomi Ueno (International Conference on Probabilistic Graphical Models, PGM 2018, 11-14 September 2018, Prague, Czech Republic, 2018)

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; Maomi Ueno (Int. J. Approx. Reason., 2017)

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

Algorithm for Uniform Test Assembly Using a Maximum Clique Problem and Integer Programming - Takatoshi Ishii; Maomi Ueno (Artificial Intelligence in Education - 18th International Conference, AIED 2017, Wuhan, China, June 28 - July 1, 2017, Proceedings, 2017)

Group Optimization to Maximize Peer Assessment Accuracy Using Item Response Theory - Masaki Uto; Nguyen Duc Thien; Maomi Ueno (Artificial Intelligence in Education - 18th International Conference, AIED 2017, Wuhan, China, June 28 - July 1, 2017, Proceedings, 2017)

Consistent Learning Bayesian Networks with Thousands of Variables - Kazuki Natori; Masaki Uto; Maomi Ueno (Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, AMBN 2017, Kyoto, Japan, September 20-22, 2017, 2017)

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

SNS Messages Recommendation for Learning Motivation - Sébastien Louvigné; Yoshihiro Kato; Neil Rubens; Maomi Ueno (Artificial Intelligence in Education - 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings, 2015)

Probability Based Scaffolding System with Fading - Maomi Ueno; Yoshimitsu Miyasawa (Artificial Intelligence in Education - 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings, 2015)

Clique Algorithm to Minimize Item Exposure for Uniform Test Forms Assembly - Takatoshi Ishii; Maomi Ueno (Artificial Intelligence in Education - 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings, 2015)

Item Response Model with Lower Order Parameters for Peer Assessment - Masaki Uto; Maomi Ueno (Artificial Intelligence in Education - 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings, 2015)

Academic Writing Support System Using Bayesian Networks - Masaki Uto; Maomi Ueno (15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015, Hualien, Taiwan, July 6-9, 2015, 2015)

Reliable Peer Assessment for Team-project-based Learning using Item Response Theory - Nguyen Duc Thien; Masaki Uto; Yu Abe; Maomi Ueno (Proceeding of the 23rd International Conference on Computers in Education, ICCE 2015, Hangzhou, China, November 30 - December 4, 2015, 2015)

Constraint-Based Learning Bayesian Networks Using Bayes Factor - Kazuki Natori; Masaki Uto; Yu Nishiyama; Shuichi Kawano; Maomi Ueno (Advanced Methodologies for Bayesian Networks - Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings, 2015)

A Fast Clique Maintenance Algorithm for Optimal Triangulation of Bayesian Networks - Chao Li; Maomi Ueno (Advanced Methodologies for Bayesian Networks - Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings, 2015)

Advanced Methodologies for Bayesian Networks - Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings - Joe Suzuki; Maomi Ueno (Springer, 2015)

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

Goal-Based Messages Recommendation Utilizing Latent Dirichlet Allocation - Sébastien Louvigné; Yoshihiro Kato; Neil Rubens; Maomi Ueno (IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014, Athens, Greece, July 7-10, 2014, 2014)

Maximum Clique Algorithm for Uniform Test Forms Assembly - Takatoshi Ishii; Pokpong Songmuang; Maomi Ueno (Artificial Intelligence in Education - 16th International Conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013. Proceedings, 2013)

Mobile Testing for Authentic Assessment in the Field - Yoshimitsu Miyasawa; Maomi Ueno (Artificial Intelligence in Education - 16th International Conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013. Proceedings, 2013)

Adaptive Testing Based on Bayesian Decision Theory - Maomi Ueno (Artificial Intelligence in Education - 16th International Conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013. Proceedings, 2013)

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

Robust learning Bayesian networks for prior belief - Maomi Ueno (CoRR, 2012)

Learning networks determined by the ratio of prior and data - Maomi Ueno (CoRR, 2012)

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)

Detecting Redundant Items in Construction of Multiple Equivalent Test Forms using Latent Dirichlet Allocation - Pokpong Songmuang; Maomi Ueno; Keizo Nagaoka (Proceeding of the 19th International Conference on Computers in Education, ICCE 2011, Thailand Science Park, Chiang Mai, Thailand, November 28 - December 1, 2011, 2011)

Robust learning Bayesian networks for prior belief - Maomi Ueno (UAI 2011, Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, July 14-17, 2011, 2011)

Multiple Test Forms Construction based on Bees Algorithm - Pokpong Songmuang; Maomi Ueno (Educational Data Mining 2010, The 3rd International Conference on Educational Data Mining, Pittsburgh, PA, USA, June 11-13, 2010. Proceedings, 2010)

Analysis of the Advantages of Using Tablet PC in e-Learning - Masahiro Ando; Maomi Ueno (ICALT 2010, 10th IEEE International Conference on Advanced Learning Technologies, Sousse, Tunisia, 5-7 July 2010, 2010)

Computerized Adaptive Testing Based on Decision Tree - Maomi Ueno; Pokpong Songmuang (ICALT 2010, 10th IEEE International Conference on Advanced Learning Technologies, Sousse, Tunisia, 5-7 July 2010, 2010)

First International Workshop on Advanced Methodologies for Bayesian Networks - Maomi Ueno; Takashi Isozaki (New Frontiers in Artificial Intelligence - JSAI-isAI 2010 Workshops, LENLS, JURISIN, AMBN, ISS, Tokyo, Japan, November 18-19, 2010, Revised Selected Papers, 2010)

Detection of Mutually Dependent Test Items Using the LCI Test - Takamitsu Hashimoto; Maomi Ueno (New Frontiers in Artificial Intelligence - JSAI-isAI 2010 Workshops, LENLS, JURISIN, AMBN, ISS, Tokyo, Japan, November 18-19, 2010, Revised Selected Papers, 2010)

Learning networks determined by the ratio of prior and data - Maomi Ueno (UAI 2010, Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence, Catalina Island, CA, USA, July 8-11, 2010, 2010)

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

Minimum Free Energy Principle for Constraint-Based Learning Bayesian Networks - Takashi Isozaki; Maomi Ueno (Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I, 2009)

Cognitive Load Reduction on Multimedia E-Learning Materials - Masahiro Ando; Maomi Ueno (The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008, Santander, Cantabria, Spain, July 1-5, 2008, 2008)

Item Response Theory for Peer Assessment - Maomi Ueno; Toshio Okamoto (The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008, Santander, Cantabria, Spain, July 1-5, 2008, 2008)

System for Online Detection of Aberrant Responses in E-Testing - Maomi Ueno; Toshio Okamoto (The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008, Santander, Cantabria, Spain, July 1-5, 2008, 2008)

Minimum Free Energies with "Data Temperature" for Parameter Learning of Bayesian Networks - Takashi Isozaki; Noriji Kato; Maomi Ueno (20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), November 3-5, 2008, Dayton, Ohio, USA, Volume 1, 2008)

A SCORM-compliant Learning Management System that Enhances Learning By Managing the Learning Itself - Yasuhiko Morimoto; Maomi Ueno; Setsuo Yokoyama; Youzou Miyadera (Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007, Niigata, Japan, July 18-20, 2007, 2007)

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 (Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007, Niigata, Japan, July 18-20, 2007, 2007)

Bayesian Agent in e-Learning - Maomi Ueno; Toshio Okamoto (Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007, Niigata, Japan, July 18-20, 2007, 2007)

Collaborative e-Learning Among Teachers Using a Web Database in Special Support Education - Masahito Nagamori; Masahiro Ando; Masaki Nagasawa; Pokpong Songmuang; Maomi Ueno (Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007, Niigata, Japan, July 18-20, 2007, 2007)

E-Testing Construction Support System with some Prediction Tools - Pokpong Songmuang; Masahiro Ando; Masahito Nagamori; Maomi Ueno; Toshio Okamoto (Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007, Niigata, Japan, July 18-20, 2007, 2007)

Evaluating Learners' Knowledge-structure using Bayesian networks - Yasuko Namatame; Maomi Ueno (Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007, Niigata, Japan, July 18-20, 2007, 2007)

The Effective Usage of the Results of Self-Check Quizzes - Yasuko Namatame; Maomi Ueno (Supporting Learning Flow through Integrative Technologies, Proceeding of the 15th International Conference on Computers in Education, ICCE 2007, November 5-9, 2007, Hiroshima, Japan, 2007)

Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007, Niigata, Japan, July 18-20, 2007 - J. Michael Spector; Demetrios G. Sampson; Toshio Okamoto; Kinshuk; Stefano A. Cerri; Maomi Ueno; Akihiro Kashihara (IEEE Computer Society, 2007)

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

On-Line Content Analysis System using e-Learning Time Data - Maomi Ueno; Keizo Nagaoka (2006 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2006), March 8-11, Dubai/Sharjah, UAE, 2006)

Online MDL-Markov analysis of a discussion process in CSCL - Maomi Ueno; Toshio Okamoto (Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, ICALT 2006, Kerkrade, The Netherlands, July 5-7, 2006, 2006)

Development of Portfolio Assessment Support System - Yasuhiko Morimoto; Isao Kikukawa; Maomi Ueno; Setsuo Yokoyama; Youzou Miyadera (Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding, Proceeding of the 14th International Conference on Computers in Education, ICCE 2006, November 30 - December 4, 2006, Beijing, China, 2006)

Collaborative E-Test Construction - Using Predicted Response-Time and Score Distributions to Improve Reliability - Pokpong Songmuang; Maomi Ueno (Knowledge Management for Educational Innovation - IFIP WG 3.7 7th Conference on Information Technology in Educational Management (ITEM), Hamamatsu, Japan, July 23-26, 2006, 2006)

A Formal Method of Describing E-Learning Systems - Yasuhiko Morimoto; Maomi Ueno; Setsuo Yokoyama; Youzou Miyadera (Cognition and Exploratory Learning in Digital Age, CELDA 2005, 14-16 December 2005, Porto, Portugal, Proceedings, 2005)

Animated Pedagogical Agent Based on Decision Tree for e-Learning - Maomi Ueno (Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005, Kaohsiung, Taiwan, July 5-8, 2005, 2005)

Modeling Language for Supporting Portfolio Assessment - Yasuhiko Morimoto; Maomi Ueno; Masayuki Takahashi (Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005, Kaohsiung, Taiwan, July 5-8, 2005, 2005)

Online Outlier Detection System for Learning Time Data in E-Learning and Its Evaluation - Maomi Ueno (Proceedings of the 7th IASTED International Conference on Computers and Advanced Technology in Education, August 16-18, 2004, Kauai, Hawaii, USA, 2004)

A Meta-Language for Portfolio Assessment - Yasuhiko Morimoto; Maomi Ueno; Nobuyoshi Yonezawa; Setsuo Yokoyama; Youzou Miyadera (Proceedings of the IEEE International Conference on Advanced Learning Technologies, ICALT 2004, Joensuu, Finland, August 30 - September 1, 2004, 2004)

On-line Contents Analysis System for e-Learning - Maomi Ueno (Proceedings of the IEEE International Conference on Advanced Learning Technologies, ICALT 2004, Joensuu, Finland, August 30 - September 1, 2004, 2004)

Data Mining and Text Mining Technologies for Collaborative Learning in an ILMS "Samurai" - Maomi Ueno (Proceedings of the IEEE International Conference on Advanced Learning Technologies, ICALT 2004, Joensuu, Finland, August 30 - September 1, 2004, 2004)

Student Models Construction by Using Information Criteria - Maomi Ueno (Proceedings IEEE International Conference on Advanced Learning Technology: Issues, Achievements and Challenges, Madison, WI, USA, August 6-8, 2001, 2001)