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Fumiya Okubo
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Journal Articles
- 2023
- [j21]Fumiya Okubo, Tetsuya Shiino, Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada:
Adaptive Learning Support System Based on Automatic Recommendation of Personalized Review Materials. IEEE Trans. Learn. Technol. 16(1): 92-105 (2023) - 2022
- [j20]Kaoru Fujioka, Fumiya Okubo, Takashi Yokomori:
ℒ-reduction computation revisited. Acta Informatica 59(4): 409-426 (2022) - [j19]Fumiya Okubo, Kaoru Fujioka, Takashi Yokomori:
Chemical Reaction Regular Grammars. New Gener. Comput. 40(2): 659-680 (2022) - [j18]Fumiya Okubo, Takashi Yokomori:
Corrigendum to "On the computing powers of L-reductions of insertion languages" [Theor. Comput. Sci. 862 (2021) 224-235]. Theor. Comput. Sci. 920: 113 (2022) - 2021
- [j17]Takashi Yokomori, Fumiya Okubo:
Theory of reaction automata: a survey. J. Membr. Comput. 3(1): 63-85 (2021) - [j16]Fumiya Okubo, Takashi Yokomori:
On the computing powers of L-reductions of insertion languages. Theor. Comput. Sci. 862: 224-235 (2021) - 2020
- [j15]Li Chen, Koichi Inoue, Yoshiko Goda, Fumiya Okubo, Yuta Taniguchi, Misato Oi, Shin'ichi Konomi, Hiroaki Ogata, Masanori Yamada:
Exploring Factors that Influence Collaborative Problem Solving Awareness in Science Education. Technol. Knowl. Learn. 25(2): 337-366 (2020) - 2019
- [j14]Chengjiu Yin, Masanori Yamada, Misato Oi, Atsushi Shimada, Fumiya Okubo, Kentaro Kojima, Hiroaki Ogata:
Exploring the Relationships between Reading Behavior Patterns and Learning Outcomes Based on Log Data from E-Books: A Human Factor Approach. Int. J. Hum. Comput. Interact. 35(4-5): 313-322 (2019) - [j13]Li Chen, Nobuyuki Yoshimatsu, Yoshiko Goda, Fumiya Okubo, Yuta Taniguchi, Misato Oi, Shin'ichi Konomi, Atsushi Shimada, Hiroaki Ogata, Masanori Yamada:
Direction of collaborative problem solving-based STEM learning by learning analytics approach. Res. Pract. Technol. Enhanc. Learn. 14(1): 24 (2019) - [j12]Fumiya Okubo, Takashi Yokomori:
Decomposition and factorization of chemical reaction transducers. Theor. Comput. Sci. 777: 431-442 (2019) - 2018
- [j11]Atsushi Shimada, Fumiya Okubo, Chengjiu Yin, Hiroaki Ogata:
Automatic Summarization of Lecture Slides for Enhanced Student Preview-Technical Report and User Study-. IEEE Trans. Learn. Technol. 11(2): 165-178 (2018) - 2017
- [j10]Fumiya Okubo, Takashi Yokomori:
Morphic Characterizations of Language Families Based on Local and Star Languages. Fundam. Informaticae 154(1-4): 323-341 (2017) - [j9]Masanori Yamada, Atsushi Shimada, Fumiya Okubo, Misato Oi, Kentaro Kojima, Hiroaki Ogata:
Learning analytics of the relationships among self-regulated learning, learning behaviors, and learning performance. Res. Pract. Technol. Enhanc. Learn. 12(1): 13 (2017) - 2016
- [j8]Fumiya Okubo, Takashi Yokomori:
The computational capability of chemical reaction automata. Nat. Comput. 15(2): 215-224 (2016) - 2015
- [j7]Fumiya Okubo, Takashi Yokomori:
Finite Automata with Multiset Memory: A New Characterization of Chomsky Hierarchy. Fundam. Informaticae 138(1-2): 31-44 (2015) - 2014
- [j6]Fumiya Okubo:
Reaction automata working in sequential manner. RAIRO Theor. Informatics Appl. 48(1): 23-38 (2014) - 2012
- [j5]Fumiya Okubo, Satoshi Kobayashi, Takashi Yokomori:
Reaction automata. Theor. Comput. Sci. 429: 247-257 (2012) - [j4]Fumiya Okubo, Satoshi Kobayashi, Takashi Yokomori:
On the properties of language classes defined by bounded reaction automata. Theor. Comput. Sci. 454: 206-221 (2012) - 2011
- [j3]Fumiya Okubo, Takashi Yokomori:
On the Hairpin Incompletion. Fundam. Informaticae 110(1-4): 255-269 (2011) - [j2]Fumiya Okubo, Takashi Yokomori:
Morphic Characterizations of Language Families in Terms of Insertion Systems and Star Languages. Int. J. Found. Comput. Sci. 22(1): 247-260 (2011) - 2009
- [j1]Fumiya Okubo:
A note on the descriptional complexity of semi-conditional grammars. Inf. Process. Lett. 110(1): 36-40 (2009)
Conference and Workshop Papers
- 2023
- [c26]Erwin D. López Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada:
LECTOR: An attention-based model to quantify e-book lecture slides and topics relationships. EDM 2023 - 2022
- [c25]Taiki Hamada, Tsubasa Minematsu, Atsushi Shimada, Fumiya Okubo, Yuta Taniguchi:
Background Subtraction Network Module Ensemble for Background Scene Adaptation. AVSS 2022: 1-8 - [c24]Erwin D. López Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada:
Exploring the Use of Probabilistic Latent Representations to Encode the Students' Reading Characteristics. LAK (Data Challenge) 2022: 1-10 - [c23]Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada:
Predicting Student Performance based on Lecture Materials Data using Neural Network Models. LAK (Data Challenge) 2022: 11-20 - [c22]Boyi Li, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada:
How Does Analysis of Handwritten Notes Provide Better Insights for Learning Behavior? LAK 2022: 549-555 - [c21]Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada:
Scaled-Dot Product Attention for Early Detection of At-risk Students. TALE 2022: 316-322 - [c20]Kanu Shiga, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada, Rin-Ichiro Taniguchi:
Development and Evaluation of a Field Environment Digest System for Agricultural Education. WCCE 2022: 87-99 - [c19]Seiyu Okai, Tsubasa Minematsu, Fumiya Okubo, Yuta Taniguchi, Hideaki Uchiyama, Atsushi Shimada:
A System to Realize Time- and Location-Independent Teaching and Learning Among Learners Through Sharing Learning-Articles. WCCE 2022: 475-487 - 2019
- [c18]Kaori Tamura, Min Lu, Shin'ichi Konomi, Kohei Hatano, Miyuki Inaba, Misato Oi, Tsuyoshi Okamoto, Fumiya Okubo, Atsushi Shimada, Jingyun Wang, Masanori Yamada, Yuki Yamada:
Integrating Multimodal Learning Analytics and Inclusive Learning Support Systems for People of All Ages. HCI (12) 2019: 469-481 - 2018
- [c17]Takashi Yokomori, Fumiya Okubo:
Computing with Multisets: A Survey on Reaction Automata Theory. CiE 2018: 421-431 - [c16]Shin'ichi Konomi, Kohei Hatano, Miyuki Inaba, Misato Oi, Tsuyoshi Okamoto, Fumiya Okubo, Atsushi Shimada, Jingyun Wang, Masanori Yamada, Yuki Yamada:
Towards Supporting Multigenerational Co-creation and Social Activities: Extending Learning Analytics Platforms and Beyond. HCI (22) 2018: 82-91 - [c15]Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada, Yuta Taniguchi, Shin'ichi Konomi:
On the Prediction of Students' Quiz Score by Recurrent Neural Network. CrossMMLA@LAK 2018 - [c14]Atsushi Shimada, Yuta Taniguchi, Fumiya Okubo, Shin'ichi Konomi, Hiroaki Ogata:
Online change detection for monitoring individual student behavior via clickstream data on E-book system. LAK 2018: 446-450 - [c13]Li Chen, Hirokazu Uemura, Hao Hao, Yoshiko Goda, Fumiya Okubo, Yuta Taniguchi, Misato Oi, Shin'ichi Konomi, Hiroaki Ogata, Masanori Yamada:
Relationships between Collaborative Problem Solving, Learning Performance and Learning Behavior in Science Education. TALE 2018: 17-24 - 2017
- [c12]Misato Oi, Masanori Yamada, Fumiya Okubo, Atsushi Shimada, Hiroaki Ogata:
Finding Traces of High and Low Achievers by Analyzing Undergraduates' E-book Logs. MMLA-CrossLAK@LAK 2017: 15-22 - [c11]Misato Oi, Masanori Yamada, Fumiya Okubo, Atsushi Shimada, Hiroaki Ogata:
Reproducibility of findings from educational big data: a preliminary study. LAK 2017: 536-537 - [c10]Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada, Hiroaki Ogata:
A neural network approach for students' performance prediction. LAK 2017: 598-599 - 2016
- [c9]Atsushi Shimada, Fumiya Okubo, Hiroaki Ogata:
Browsing-Pattern Mining from e-Book Logs with Non-negative Matrix Factorization. EDM 2016: 636-637 - [c8]Kousuke Mouri, Fumiya Okubo, Atsushi Shimada, Hiroaki Ogata:
Bayesian Network for Predicting Students' Final Grade Using e-Book Logs in University Education. ICALT 2016: 85-89 - [c7]Kousuke Mouri, Chengjiu Yin, Fumiya Okubo, Atsushi Shimada, Hiroaki Ogata:
Profiling High-achieving Students for E-book-based Learning Analytics. CrossLAK 2016: 5-9 - [c6]Atsushi Shimada, Fumiya Okubo, Chengjiu Yin, Hiroaki Ogata:
Automatic Generation of Personalized Review Materials Based on Across-Learning-System Analysis. CrossLAK 2016: 22-27 - [c5]Fumiya Okubo, Sachio Hirokawa, Misato Oi, Chengjiu Yin, Atsushi Shimada, Kentaro Kojima, Masanori Yamada, Hiroaki Ogata:
Learning Activity Features of High Performance Students. CrossLAK 2016: 28-33 - 2015
- [c4]Masanori Yamada, Chengjiu Yin, Atsushi Shimada, Kentaro Kojima, Fumiya Okubo, Hiroaki Ogata:
Preliminary Research on Self-Regulated Learning and Learning Logs in a Ubiquitus Learning Environment. ICALT 2015: 93-95 - [c3]Atsushi Shimada, Fumiya Okubo, Chengjiu Yin, Kentaro Kojima, Masanori Yamada, Hiroaki Ogata:
Informal Learning Behavior Analysis Using Action Logs and Slide Features in E-Textbooks. ICALT 2015: 116-117 - 2014
- [c2]Fumiya Okubo, Takashi Yokomori:
The Computational Capability of Chemical Reaction Automata. DNA 2014: 53-66 - 2012
- [c1]Fumiya Okubo:
On the Computational Power of Reaction Automata Working in Sequential Manner. NCMA 2012: 149-163
Parts in Books or Collections
- 2018
- [p1]Fumiya Okubo, Takashi Yokomori:
The Computing Power of Determinism and Reversibility in Chemical Reaction Automata. Reversibility and Universality 2018: 279-298
Editorship
- 2022
- [e1]Brendan Flanagan, Rwitajit Majumdar, Huiyong Li, Atsushi Shimada, Fumiya Okubo, Hiroaki Ogata:
Proceedings of the 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior - DC in LAK22 co-located with 12th International Learning Analytics and Knowledge Conference (LAK22), Online (initially located in California, USA), March 22nd, 2022. CEUR Workshop Proceedings 3120, CEUR-WS.org 2022 [contents]
Informal and Other Publications
- 2012
- [i3]Fumiya Okubo, Satoshi Kobayashi, Takashi Yokomori:
On the Properties of Language Classes Defined by Bounded Reaction Automata. CoRR abs/1201.3082 (2012) - 2011
- [i2]Fumiya Okubo, Takashi Yokomori:
On the Hairpin Incompletion. CoRR abs/1102.3503 (2011) - [i1]Fumiya Okubo, Satoshi Kobayashi, Takashi Yokomori:
Reaction Automata. CoRR abs/1111.5038 (2011)
Coauthor Index
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