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Fumiya Okubo
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2020 – today
- 2024
- [j22]Sukrit Leelaluk
, Cheng Tang
Attention-Based Artificial Neural Network for Student Performance Prediction Based on Learning Activities. IEEE Access 12: 100659-100675 (2024) - [c33]Li Chen, Gen Li
How Do Strategies for Using ChatGPT Affect Knowledge Comprehension? AIED Companion (1) 2024: 151-162 - [c32]Ivo Lodovico Molina, Valdemar Svábenský
Comparison of Large Language Models for Generating Contextually Relevant Questions. EC-TEL (2) 2024: 137-143 - [c31]Yongle Ren
QA-Knowledge Attention for Exam Performance Prediction. EC-TEL (1) 2024: 375-389 - [c30]Yuma Miyazaki, Valdemar Svábenský, Yuta Taniguchi, Fumiya Okubo, Tsubasa Minematsu, Atsushi Shimada:
E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems. EDM 2024 - [c29]Cheng Tang
Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model. KSEM (2) 2024: 192-203 - [c28]Abdul Berr, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada:
Educational Data Analysis using Generative AI. LAK Workshops 2024: 47-55 - [c27]Shuaileng Yuan, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada:
Educational Data Analysis using Generative AI. LAK Workshops 2024: 73-82 - [e2]Martin Hlosta, Ivan Moser, Brendan Flanagan, Gloria Milena Fernández Nieto, Lixiang Yan, Angela Stewart, Amir Winer, Nitza Geri, Umesh Ramnarain, Christo van der Westhuizen, Atsushi Shimada, Fumiya Okubo, Hsiao-Ting Tseng, Albert C. M. Yang, Owen H. T. Lu, Hiroaki Ogata, Vanessa Echeverría, Roberto Martínez Maldonado, Yi-Shan Tsai, LuEttaMae Lawrence, Shaveen Singh, Stanislav Pozdniakov, Lujie Karen Chen, Jiaqi Gong, Louise Yarnall, Andy Nguyen, Lele Sha, Jionghao Lin, Mutlu Cukurova, Kshitij Sharma, Linxuan Zhao, Yuheng Li, Yueqiao Jin, Dragan Gasevic, Caitlin Mills, Stephen Hutt:
Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), Kyoto, Japan, March 18-22, 2024. CEUR Workshop Proceedings 3667, CEUR-WS.org 2024 [contents] - [i5]Yuma Miyazaki, Valdemar Svábenský, Yuta Taniguchi, Fumiya Okubo, Tsubasa Minematsu, Atsushi Shimada:
E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems. CoRR abs/2407.13053 (2024) - [i4]Ivo Lodovico Molina, Valdemar Svábenský, Tsubasa Minematsu, Li Chen, Fumiya Okubo, Atsushi Shimada:
Comparison of Large Language Models for Generating Contextually Relevant Questions. CoRR abs/2407.20578 (2024) - 2023
- [j21]Fumiya Okubo
Adaptive Learning Support System Based on Automatic Recommendation of Personalized Review Materials. IEEE Trans. Learn. Technol. 16(1): 92-105 (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
- [j20]Kaoru Fujioka
ℒ-reduction computation revisited. Acta Informatica 59(4): 409-426 (2022) - [j19]Fumiya Okubo
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) - [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
Scaled-Dot Product Attention for Early Detection of At-risk Students. TALE 2022: 316-322 - [c20]Kanu Shiga, Tsubasa Minematsu
Development and Evaluation of a Field Environment Digest System for Agricultural Education. WCCE 2022: 87-99 - [c19]Seiyu Okai, Tsubasa Minematsu
A System to Realize Time- and Location-Independent Teaching and Learning Among Learners Through Sharing Learning-Articles. WCCE 2022: 475-487 - [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] - 2021
- [j17]Takashi Yokomori
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
Exploring Factors that Influence Collaborative Problem Solving Awareness in Science Education. Technol. Knowl. Learn. 25(2): 337-366 (2020)
2010 – 2019
- 2019
- [j14]Chengjiu Yin, Masanori Yamada
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
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) - [c18]Kaori Tamura
Integrating Multimodal Learning Analytics and Inclusive Learning Support Systems for People of All Ages. HCI (12) 2019: 469-481 - 2018
- [j11]Atsushi Shimada
Automatic Summarization of Lecture Slides for Enhanced Student Preview-Technical Report and User Study-. IEEE Trans. Learn. Technol. 11(2): 165-178 (2018) - [c17]Takashi Yokomori, Fumiya Okubo:
Computing with Multisets: A Survey on Reaction Automata Theory. CiE 2018: 421-431 - [c16]Shin'ichi Konomi
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
Online change detection for monitoring individual student behavior via clickstream data on E-book system. LAK 2018: 446-450 - [c13]Li Chen
Relationships between Collaborative Problem Solving, Learning Performance and Learning Behavior in Science Education. TALE 2018: 17-24 - [p1]Fumiya Okubo, Takashi Yokomori:
The Computing Power of Determinism and Reversibility in Chemical Reaction Automata. Reversibility and Universality 2018: 279-298 - 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
Learning analytics of the relationships among self-regulated learning, learning behaviors, and learning performance. Res. Pract. Technol. Enhanc. Learn. 12(1): 13 (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
Reproducibility of findings from educational big data: a preliminary study. LAK 2017: 536-537 - [c10]Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada
A neural network approach for students' performance prediction. LAK 2017: 598-599 - 2016
- [j8]Fumiya Okubo, Takashi Yokomori:
The computational capability of chemical reaction automata. Nat. Comput. 15(2): 215-224 (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
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
- [j7]Fumiya Okubo, Takashi Yokomori:
Finite Automata with Multiset Memory: A New Characterization of Chomsky Hierarchy. Fundam. Informaticae 138(1-2): 31-44 (2015) - [c4]Masanori Yamada
Preliminary Research on Self-Regulated Learning and Learning Logs in a Ubiquitus Learning Environment. ICALT 2015: 93-95 - [c3]Atsushi Shimada
Informal Learning Behavior Analysis Using Action Logs and Slide Features in E-Textbooks. ICALT 2015: 116-117 - 2014
- [j6]Fumiya Okubo:
Reaction automata working in sequential manner. RAIRO Theor. Informatics Appl. 48(1): 23-38 (2014) - [c2]Fumiya Okubo, Takashi Yokomori:
The Computational Capability of Chemical Reaction Automata. DNA 2014: 53-66 - 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) - [c1]Fumiya Okubo:
On the Computational Power of Reaction Automata Working in Sequential Manner. NCMA 2012: 149-163 - [i3]Fumiya Okubo, Satoshi Kobayashi, Takashi Yokomori:
On the Properties of Language Classes Defined by Bounded Reaction Automata. CoRR abs/1201.3082 (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) - [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)
2000 – 2009
- 2009
- [j1]Fumiya Okubo:
A note on the descriptional complexity of semi-conditional grammars. Inf. Process. Lett. 110(1): 36-40 (2009)
Coauthor Index
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last updated on 2024-10-30 21:33 CET by the dblp team
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