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2020 – today
- 2024
[j18]Emiko Tsutsumi
, Yiming Guo, Ryo Kinoshita, Maomi Ueno:
Deep Knowledge Tracing Incorporating a Hypernetwork With Independent Student and Item Networks. IEEE Trans. Learn. Technol. 17: 951-965 (2024)- [c60]Shouta Sugahara, Koya Kato, Maomi Ueno:
Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters. AAAI 2024: 20540-20549 - [c59]Emiko Tsutsumi, Tetsurou Nishio, Maomi Ueno:
Deep-IRT with a Temporal Convolutional Network for Reflecting Students' Long-Term History of Ability Data. AIED (1) 2024: 250-264 - 2023
- [j17]Kazuma Fuchimoto, Shin-ichi Minato, Maomi Ueno:
Automated Parallel Test Forms Assembly using Zero-suppressed Binary Decision Diagrams. IEEE Access 11: 112804-112813 (2023) - [j16]Masaki Uto, Itsuki Aomi, Emiko Tsutsumi, Maomi Ueno:
Integration of Prediction Scores From Various Automated Essay Scoring Models Using Item Response Theory. IEEE Trans. Learn. Technol. 16(6): 983-1000 (2023) - [c58]Wakaba Kishida, Kazuma Fuchimoto, Yoshimitsu Miyazawa, Maomi Ueno:
Item Difficulty Constrained Uniform Adaptive Testing. AIED (Posters/Late Breaking Results/...) 2023: 568-573 - 2022
- [j15]Shouta Sugahara, Itsuki Aomi, Maomi Ueno:
Bayesian Network Model Averaging Classifiers by Subbagging. Entropy 24(5): 743 (2022) - [j14]Kazuma Fuchimoto, Takatoshi Ishii, Maomi Ueno:
Hybrid Maximum Clique Algorithm Using Parallel Integer Programming for Uniform Test Assembly. IEEE Trans. Learn. Technol. 15(2): 252-264 (2022) - [c57]Maomi Ueno, Yoshimitsu Miyazawa:
Two-Stage Uniform Adaptive Testing to Balance Measurement Accuracy and Item Exposure. AIED (1) 2022: 626-632 - [c56]Emiko Tsutsumi, Yiming Guo, Maomi Ueno:
DeepIRT with a Hypernetwork to Optimize the Degree of Forgetting of Past Data. EDM 2022 - [c55]Shouta Sugahara, Wakaba Kishida, Koya Kato, Maomi Ueno:
Recursive autonomy identification-based learning of augmented naive Bayes classifiers. PGM 2022: 265-276 - 2021
- [j13]Shouta Sugahara, Maomi Ueno:
Exact Learning Augmented Naive Bayes Classifier. Entropy 23(12): 1703 (2021) - [c54]Itsuki Aomi, Emiko Tsutsumi, Masaki Uto, Maomi Ueno:
Integration of Automated Essay Scoring Models Using Item Response Theory. AIED (2) 2021: 54-59 - [c53]Emiko Tsutsumi, Ryo Kinoshita, Maomi Ueno:
Deep-IRT with independent student and item networks. EDM 2021 - [c52]Maomi Ueno:
AI based e-Testing as a common yardstick for measuring human abilities. JCSSE 2021: 1-5 - [i3]Shouta Sugahara, Maomi Ueno:
Exact Learning Augmented Naive Bayes Classifier. CoRR abs/2107.03018 (2021) - 2020
- [j12]Masaki Uto, Nguyen Duc Thien, Maomi Ueno:
Group Optimization to Maximize Peer Assessment Accuracy Using Item Response Theory and Integer Programming. IEEE Trans. Learn. Technol. 13(1): 91-106 (2020) - [c51]Masaki Uto, Yikuan Xie, Maomi Ueno:
Neural Automated Essay Scoring Incorporating Handcrafted Features. COLING 2020: 6077-6088 - [c50]Shouta Sugahara, Itsuki Aomi, Maomi Ueno:
Bayesian Network Model Averaging Classifiers by Subbagging. PGM 2020: 461-472
2010 – 2019
- 2019
- [c49]Maomi Ueno, Yoshimitsu Miyazawa:
Uniform Adaptive Testing Using Maximum Clique Algorithm. AIED (1) 2019: 482-493 - [c48]Yoshimitsu Miyazawa, Maomi Ueno:
Computerized Adaptive Testing Method Using Integer Programming to Minimize Item Exposure. JSAI 2019: 105-113 - 2018
- [j11]Maomi Ueno, Yoshimitsu Miyazawa:
IRT-Based Adaptive Hints to Scaffold Learning in Programming. IEEE Trans. Learn. Technol. 11(4): 415-428 (2018) - [c47]Masaki Uto, Maomi Ueno:
Item Response Theory Without Restriction of Equal Interval Scale for Rater's Score. AIED (2) 2018: 363-368 - [c46]Shouta Sugahara, Masaki Uto, Maomi Ueno:
Exact learning augmented naive Bayes classifier. PGM 2018: 439-450 - 2017
- [j10]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 Trans. e Learn. 4(16): e3 (2017) - [j9]Chao Li, Maomi Ueno:
An extended depth-first search algorithm for optimal triangulation of Bayesian networks. Int. J. Approx. Reason. 80: 294-312 (2017) - [j8]Maomi Ueno:
Preface: Special Issue on Advanced Methodologies for Bayesian Networks. New Gener. Comput. 35(1): 1-4 (2017) - [c45]Takatoshi Ishii, Maomi Ueno:
Algorithm for Uniform Test Assembly Using a Maximum Clique Problem and Integer Programming. AIED 2017: 102-112 - [c44]Masaki Uto, Nguyen Duc Thien, Maomi Ueno:
Group Optimization to Maximize Peer Assessment Accuracy Using Item Response Theory. AIED 2017: 393-405 - [c43]Kazuki Natori, Masaki Uto, Maomi Ueno:
Consistent Learning Bayesian Networks with Thousands of Variables. AMBN 2017: 57-68 - 2016
- [j7]Masaki Uto, Maomi Ueno:
Item Response Theory for Peer Assessment. IEEE Trans. Learn. Technol. 9(2): 157-170 (2016) - 2015
- [c42]Sébastien Louvigné, Yoshihiro Kato, Neil Rubens, Maomi Ueno:
SNS Messages Recommendation for Learning Motivation. AIED 2015: 237-246 - [c41]Maomi Ueno, Yoshimitsu Miyasawa:
Probability Based Scaffolding System with Fading. AIED 2015: 492-503 - [c40]Takatoshi Ishii, Maomi Ueno:
Clique Algorithm to Minimize Item Exposure for Uniform Test Forms Assembly. AIED 2015: 638-641 - [c39]Masaki Uto, Maomi Ueno:
Item Response Model with Lower Order Parameters for Peer Assessment. AIED 2015: 800-803 - [c38]Masaki Uto, Maomi Ueno:
Academic Writing Support System Using Bayesian Networks. ICALT 2015: 385-387 - [c37]Kazuki Natori, Masaki Uto, Yu Nishiyama, Shuichi Kawano, Maomi Ueno:
Constraint-Based Learning Bayesian Networks Using Bayes Factor. AMBN@JSAI-isAI 2015: 15-31 - [c36]Chao Li, Maomi Ueno:
A Fast Clique Maintenance Algorithm for Optimal Triangulation of Bayesian Networks. AMBN@JSAI-isAI 2015: 152-167 - [e2]Joe Suzuki, Maomi Ueno:
Advanced Methodologies for Bayesian Networks - Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings. Lecture Notes in Computer Science 9505, Springer 2015, ISBN 978-3-319-28378-4 [contents] - 2014
- [j6]Takatoshi Ishii, Pokpong Songmuang, Maomi Ueno:
Maximum Clique Algorithm and ItsApproximation for UniformTest Form Assembly. IEEE Trans. Learn. Technol. 7(1): 83-95 (2014) - [c35]Sébastien Louvigné, Yoshihiro Kato, Neil Rubens, Maomi Ueno:
Goal-Based Messages Recommendation Utilizing Latent Dirichlet Allocation. ICALT 2014: 464-468 - 2013
- [c34]Takatoshi Ishii, Pokpong Songmuang, Maomi Ueno:
Maximum Clique Algorithm for Uniform Test Forms Assembly. AIED 2013: 451-462 - [c33]Yoshimitsu Miyasawa, Maomi Ueno:
Mobile Testing for Authentic Assessment in the Field. AIED 2013: 619-623 - [c32]Maomi Ueno:
Adaptive Testing Based on Bayesian Decision Theory. AIED 2013: 712-716 - 2012
- [j5]Maomi Ueno:
Special Issue on Advanced Methodologies for Bayesian Networks. New Gener. Comput. 30(1): 1-2 (2012) - [i2]Maomi Ueno:
Robust learning Bayesian networks for prior belief. CoRR abs/1202.3766 (2012) - [i1]Maomi Ueno:
Learning networks determined by the ratio of prior and data. CoRR abs/1203.3521 (2012) - 2011
- [j4]Takamitsu Hashimoto, Maomi Ueno:
Latent Conditional Independence Test Using Bayesian Network Item Response Theory. IEICE Trans. Inf. Syst. 94-D(4): 743-753 (2011) - [j3]Pokpong Songmuang, Maomi Ueno:
Bees Algorithm for Construction of Multiple Test Forms in E-Testing. IEEE Trans. Learn. Technol. 4(3): 209-221 (2011) - [c31]Maomi Ueno:
Robust learning Bayesian networks for prior belief. UAI 2011: 698-707 - 2010
- [c30]Pokpong Songmuang, Maomi Ueno:
Multiple Test Forms Construction based on Bees Algorithm. EDM 2010: 321-322 - [c29]Masahiro Ando, Maomi Ueno:
Analysis of the Advantages of Using Tablet PC in e-Learning. ICALT 2010: 122-124 - [c28]Maomi Ueno, Pokpong Songmuang:
Computerized Adaptive Testing Based on Decision Tree. ICALT 2010: 191-193 - [c27]Maomi Ueno, Takashi Isozaki:
First International Workshop on Advanced Methodologies for Bayesian Networks. JSAI-isAI Workshops 2010: 165-166 - [c26]Takamitsu Hashimoto, Maomi Ueno:
Detection of Mutually Dependent Test Items Using the LCI Test. JSAI-isAI Workshops 2010: 196-209 - [c25]Maomi Ueno:
Learning networks determined by the ratio of prior and data. UAI 2010: 598-605
2000 – 2009
- 2009
- [j2]Takashi Isozaki, Noriji Kato, Maomi Ueno:
"Data temperature" in Minimum Free energies for Parameter Learning of Bayesian Networks. Int. J. Artif. Intell. Tools 18(5): 653-671 (2009) - [c24]Takashi Isozaki, Maomi Ueno:
Minimum Free Energy Principle for Constraint-Based Learning Bayesian Networks. ECML/PKDD (1) 2009: 612-627 - 2008
- [c23]Masahiro Ando, Maomi Ueno:
Cognitive Load Reduction on Multimedia E-Learning Materials. ICALT 2008: 268-272 - [c22]Maomi Ueno, Toshio Okamoto:
Item Response Theory for Peer Assessment. ICALT 2008: 554-558 - [c21]Maomi Ueno, Toshio Okamoto:
System for Online Detection of Aberrant Responses in E-Testing. ICALT 2008: 824-828 - [c20]Takashi Isozaki, Noriji Kato, Maomi Ueno:
Minimum Free Energies with "Data Temperature" for Parameter Learning of Bayesian Networks. ICTAI (1) 2008: 371-378 - 2007
- [c19]Yasuhiko Morimoto, Maomi Ueno, Setsuo Yokoyama, Youzou Miyadera:
A SCORM-compliant Learning Management System that Enhances Learning By Managing the Learning Itself. ICALT 2007: 122-126 - [c18]Masahiro Ando, Masahito Nagamori, Pokpong Songmuang, Maomi Ueno, Toshio Okamoto:
An analysis using eye-mark recorder of the effectiveness of presentation methods for e-learning. ICALT 2007: 183-185 - [c17]Maomi Ueno, Toshio Okamoto:
Bayesian Agent in e-Learning. ICALT 2007: 282-284 - [c16]Masahito Nagamori, Masahiro Ando, Masaki Nagasawa, Pokpong Songmuang, Maomi Ueno:
Collaborative e-Learning Among Teachers Using a Web Database in Special Support Education. ICALT 2007: 328-329 - [c15]Pokpong Songmuang, Masahiro Ando, Masahito Nagamori, Maomi Ueno, Toshio Okamoto:
E-Testing Construction Support System with some Prediction Tools. ICALT 2007: 437-438 - [c14]Yasuko Namatame, Maomi Ueno:
Evaluating Learners' Knowledge-structure using Bayesian networks. ICALT 2007: 439-441 - [c13]Yasuko Namatame, Maomi Ueno:
The Effective Usage of the Results of Self-Check Quizzes. ICCE 2007: 221-224 - [e1]J. Michael Spector, Demetrios G. Sampson, Toshio Okamoto, Kinshuk, Stefano A. Cerri, Maomi Ueno, Akihiro Kashihara:
Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007, Niigata, Japan, July 18-20, 2007. IEEE Computer Society 2007, ISBN 978-0-7695-2916-5 [contents] - 2006
- [j1]Yasuhiko Morimoto, Maomi Ueno, Isao Kikukawa, Setsuo Yokoyama, Youzou Miyadera:
Formal Method of Description Supporting Portfolio Assessment. J. Educ. Technol. Soc. 9(3): 88-99 (2006) - [c12]Maomi Ueno, Keizo Nagaoka:
On-Line Content Analysis System using e-Learning Time Data. AICCSA 2006: 994-1002 - [c11]Maomi Ueno, Toshio Okamoto:
Online MDL-Markov analysis of a discussion process in CSCL. ICALT 2006: 764-768 - [c10]Yasuhiko Morimoto, Isao Kikukawa, Maomi Ueno, Setsuo Yokoyama, Youzou Miyadera:
Development of Portfolio Assessment Support System. ICCE 2006: 289-296 - [c9]Pokpong Songmuang, Maomi Ueno:
Collaborative E-Test Construction - Using Predicted Response-Time and Score Distributions to Improve Reliability. ITEM 2006: 195-201 - 2005
- [c8]Yasuhiko Morimoto, Maomi Ueno, Setsuo Yokoyama, Youzou Miyadera:
A Formal Method of Describing E-Learning Systems. CELDA 2005: 367-370 - [c7]Maomi Ueno:
Animated Pedagogical Agent Based on Decision Tree for e-Learning. ICALT 2005: 188-192 - [c6]Yasuhiko Morimoto, Maomi Ueno, Masayuki Takahashi:
Modeling Language for Supporting Portfolio Assessment. ICALT 2005: 608-612 - 2004
- [c5]Maomi Ueno:
Online Outlier Detection System for Learning Time Data in E-Learning and Its Evaluation. CATE 2004: 248-253 - [c4]Yasuhiko Morimoto, Maomi Ueno, Nobuyoshi Yonezawa, Setsuo Yokoyama, Youzou Miyadera:
A Meta-Language for Portfolio Assessment. ICALT 2004 - [c3]Maomi Ueno:
On-line Contents Analysis System for e-Learning. ICALT 2004 - [c2]Maomi Ueno:
Data Mining and Text Mining Technologies for Collaborative Learning in an ILMS "Samurai". ICALT 2004 - 2001
- [c1]Maomi Ueno:
Student Models Construction by Using Information Criteria. ICALT 2001: 331-334
Coauthor Index
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last updated on 2024-08-05 21:18 CEST by the dblp team
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