An Efficient Approach for Selecting Initial Centroid and Outlier Detection of Data Clustering. - Md. Mostafizer Rahman; Yutaka Watanobe (SoMeT, 2019)

Evaluation of Source Codes Using Bidirectional LSTM Neural Network. - Md. Mostafizer Rahman; Yutaka Watanobe; Keita Nakamura (ICKII, 2020)

A Neural Network Based Intelligent Support Model for Program Code Completion. - Md. Mostafizer Rahman; Yutaka Watanobe; Keita Nakamura (Sci. Program., 2020)

A Model for Identifying Frequent Errors in Incorrect Solutions. - Shunsuke Kawabayashi; Md. Mostafizer Rahman; Yutaka Watanobe (ICEIT, 2021)

A Novel Rule-Based Online Judge Recommender System to Promote Computer Programming Education. - Md. Mostafizer Rahman; Yutaka Watanobe; Rage Uday Kiran; Keita Nakamura (IEA/AIE (2), 2021)

Online Automatic Assessment System for Program Code: Architecture and Experiences. - Yutaka Watanobe; Md. Mostafizer Rahman; Rage Uday Kiran; Penugonda Ravikumar (IEA/AIE (2), 2021)

A Framework and Its User Interface to Learn Machine Learning Models. - Atsushi Takamiya; Md. Mostafizer Rahman; Yutaka Watanobe (MCSoC, 2021)

A Stacked Bidirectional LSTM Model for Classifying Source Codes Built in MPLs. - Md. Mostafizer Rahman; Yutaka Watanobe; Rage Uday Kiran; Raihan Kabir (PKDD/ECML Workshops (2), 2021)

Challenges and Exit Strategies for Adapting Interactive Online Education Amid the Pandemic and its Aftermath. - Md. Mostafizer Rahman; Yutaka Watanobe; Rage Uday Kiran; Truong Cong Thang; Incheon Paik (TALE, 2021)

Adaptive User Interface for Smart Programming Exercise. - Yutaka Watanobe; Md. Mostafizer Rahman; Alexander Vazhenin; Jun Suzuki 001 (TALE, 2021)

Impact of Practical Skills on Academic Performance: A Data-Driven Analysis. - Md. Mostafizer Rahman; Yutaka Watanobe; Rage Uday Kiran; Truong Cong Thang; Incheon Paik (IEEE Access, 2021)

A Bidirectional LSTM Language Model for Code Evaluation and Repair. - Md. Mostafizer Rahman; Yutaka Watanobe; Keita Nakamura (Symmetry, 2021)

Impact of Programming Language Skills in Programming Learning. - Md. Faizul Ibne Amin; Md. Mostafizer Rahman; Yutaka Watanobe; Muepu Mukendi Daniel (MCSoC, 2022)

Watchtower Selection in Off-Blockchain PCN Using Peterson Leader-Election Algorithm. - Md. Faizul Ibne Amin; Yutaka Watanobe; Md. Mostafizer Rahman; Raihan Kabir (SoMeT, 2022)

Educational Data Mining to Support Programming Learning Using Problem-Solving Data. - Md. Mostafizer Rahman; Yutaka Watanobe; Taku Matsumoto; Rage Uday Kiran; Keita Nakamura (IEEE Access, 2022)

Online Judge System: Requirements, Architecture, and Experiences. - Yutaka Watanobe; Md. Mostafizer Rahman; Taku Matsumoto; Rage Uday Kiran; Penugonda Ravikumar (Int. J. Softw. Eng. Knowl. Eng., 2022)

Unknown Object Detection Using a One-Class Support Vector Machine for a Cloud-Robot System. - Raihan Kabir; Yutaka Watanobe; Md. Rashedul Islam; Keitaro Naruse; Md. Mostafizer Rahman (Sensors, 2022)

Analysis of the Programming Languages Preferred by Novice Programmers for Solving Programming Problem. - Md. Faizul Ibne Amin; Md. Mostafizer Rahman; Atsushi Shirafuji; Yutaka Watanobe (ASSE, 2023)

LSA: A Novel State-Of-The-Art Sorting Algorithm for Efficient Arrangement of Large Data. - Ariful Islam Shiplu; Md. Mostafizer Rahman; Yutaka Watanobe (ASSE, 2023)

A Robust Ensemble Machine Learning Model with Advanced Voting Techniques for Comment Classification. - Ariful Islam Shiplu; Md. Mostafizer Rahman; Yutaka Watanobe (BDA (Astronomy, Science, and Engineering), 2023)

Program Repair with Minimal Edits Using CodeT5. - Atsushi Shirafuji; Md. Mostafizer Rahman; Md. Faizul Ibne Amin; Yutaka Watanobe (iCAST, 2023)

Code Semantics Learning with Deep Neural Networks: An AI-Based Approach for Programming Education. - Md. Mostafizer Rahman; Yutaka Watanobe; Pawel Szmeja; Piotr Sowinski; Marcin Paprzycki; Maria Ganzha (ICCS (5), 2023)

Collaborative Filtering Based on Non-Negative Matrix Factorization for Programming Problem Recommendation. - Muepu Mukendi Daniel; Yutaka Watanobe; Md. Mostafizer Rahman (IEA/AIE (1), 2023)

A Survey on Automated Code Evaluation Systems and Their Resources for Code Analysis. - Md. Mostafizer Rahman; Yutaka Watanobe; Mohamed Hamada 001 (IEA/AIE (2), 2023)

Exploring Automated Code Evaluation Systems and Resources for Code Analysis: A Comprehensive Survey. - Md. Mostafizer Rahman; Yutaka Watanobe; Atsushi Shirafuji; Mohamed Hamada 001 (CoRR, 2023)

Identifying algorithm in program code based on structural features using CNN classification model. - Yutaka Watanobe; Md. Mostafizer Rahman; Md. Faizul Ibne Amin; Raihan Kabir (Appl. Intell., 2023)

Multi-Label Code Error Classification Using CodeT5 and ML-KNN. - Md. Faizul Ibne Amin; Atsushi Shirafuji; Md. Mostafizer Rahman; Yutaka Watanobe (IEEE Access, 2024)

Big Coding Data: Analysis, Insights, and Applications. - Md. Mostafizer Rahman; Atsushi Shirafuji; Yutaka Watanobe (IEEE Access, 2024)

RoBERTa-BiLSTM: A Context-Aware Hybrid Model for Sentiment Analysis. - Md. Mostafizer Rahman; Ariful Islam Shiplu; Yutaka Watanobe; Md. Ashad Alam (CoRR, 2024)

Multilingual Program Code Classification Using $n$-Layered Bi-LSTM Model With Optimized Hyperparameters. - Md. Mostafizer Rahman; Yutaka Watanobe (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

CommentClass: A Robust Ensemble Machine Learning Model for Comment Classification. - Md. Mostafizer Rahman; Ariful Islam Shiplu; Yutaka Watanobe (Int. J. Comput. Intell. Syst., 2024)

Source Code Error Understanding Using BERT for Multi-Label Classification. - Md. Faizul Ibne Amin; Yutaka Watanobe; Md. Mostafizer Rahman; Atsushi Shirafuji (IEEE Access, 2025)