| ChatGPT for education and research: Opportunities, threats, and strategies MM Rahman, Y Watanobe Applied Sciences 13 (9), 5783, 2023 | 314 | 2023 |
| Improvement of K-means clustering algorithm with better initial centroids based on weighted average MS Mahmud, MM Rahman, MN Akhtar 2012 7th International Conference on Electrical and Computer Engineering …, 2012 | 93 | 2012 |
| A bidirectional LSTM language model for code evaluation and repair MM Rahman, Y Watanobe, K Nakamura Symmetry 13 (2), 247, 2021 | 74 | 2021 |
| Source code assessment and classification based on estimated error probability using attentive LSTM language model and its application in programming education MM Rahman, Y Watanobe, K Nakamura Applied Sciences 10 (8), 2973, 2020 | 58 | 2020 |
| Educational data mining to support programming learning using problem-solving data MM Rahman, Y Watanobe, T Matsumoto, RU Kiran, K Nakamura IEEE Access 10, 26186-26202, 2022 | 39 | 2022 |
| A neural network based intelligent support model for program code completion MM Rahman, Y Watanobe, K Nakamura Scientific Programming 2020, 1-18, 2020 | 37 | 2020 |
| Impact of Practical Skills on Academic Performance: A Data-Driven Analysis MM Rahman, Y Watanobe, RU Kiran, TC Thang, I Paik IEEE Access 9, 139975-139993, 2021 | 30 | 2021 |
| Online judge system: Requirements, architecture, and experiences Y Watanobe, MM Rahman, T Matsumoto, UK Rage, P Ravikumar International Journal of Software Engineering and Knowledge Engineering 32 …, 2022 | 24 | 2022 |
| Identifying algorithm in program code based on structural features using CNN classification model Y Watanobe, MM Rahman, MFI Amin, R Kabir Applied Intelligence 53 (10), 12210-12236, 2023 | 14 | 2023 |
| Unknown object detection using a one-class support vector machine for a cloud–robot system R Kabir, Y Watanobe, MR Islam, K Naruse, MM Rahman Sensors 22 (4), 1352, 2022 | 13 | 2022 |
| A novel rule-based online judge recommender system to promote computer programming education MM Rahman, Y Watanobe, UK Rage, K Nakamura Advances and Trends in Artificial Intelligence. From Theory to Practice …, 2021 | 11 | 2021 |
| An Efficient Approach for Selecting Initial Centroid and Outlier Detection of Data Clustering MM Rahman, Y Watanobe The 18th International Conference on Intelligent Software Methodologies …, 2019 | 9 | 2019 |
| Categorization of frequent errors in solution codes created by novice programmers MM Rahman, S Kawabayashi, Y Watanobe SHS Web of Conferences 102, 04014, 2021 | 8 | 2021 |
| A stacked bidirectional lstm model for classifying source codes built in mpls MM Rahman, Y Watanobe, RU Kiran, R Kabir Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 7 | 2021 |
| Evaluation of Source Codes Using Bidirectional LSTM Neural Network MM Rahman, Y Watanobe, K Nakamura 2020 3rd IEEE International Conference on Knowledge Innovation and Invention …, 2020 | 6 | 2020 |
| Online automatic assessment system for program code: Architecture and experiences Y Watanobe, MM Rahman, UK Rage, R Penugonda Advances and Trends in Artificial Intelligence. From Theory to Practice …, 2021 | 5 | 2021 |
| Adaptive user interface for smart programming exercise Y Watanobe, MM Rahman, A Vazhenin, J Suzuki 2021 IEEE International Conference on Engineering, Technology & Education …, 2021 | 4 | 2021 |
| Challenges and exit strategies for adapting interactive online education amid the pandemic and its aftermath MM Rahman, Y Watanobe, RU Kiran, TC Thang, I Paik 2021 IEEE International Conference on Engineering, Technology & Education …, 2021 | 4 | 2021 |
| Program Repair with Minimal Edits Using CodeT5 A Shirafuji, MM Rahman, MFI Amin, Y Watanobe | 2 | 2023 |
| Impact of programming language skills in programming learning MFI Amin, MM Rahman, Y Watanobe, MM Daniel 2022 IEEE 15th International Symposium on Embedded Multicore/Many-Core …, 2022 | 2 | 2022 |
Rage Uday KiranAssociate professor, The University of Aizu, Aizu Wakamatsu, Fukushima, JapanVerified email at u-aizu.ac.jp
