Fahmid Morshed Fahid

Ji, G., Jiang, W., Li, J., Fahid, F. M., Chen, Z., Li, Y., … Zhu, Z. (2024, January 4). Learning to bid and rank together in recommendation systems( nov , 2023 , 10.1007/s10994-023-06444-4). MACHINE LEARNING. https://doi.org/10.1007/s10994-023-06496-6

Ji, G., Jiang, W., Li, J., Fahid, F. M., Chen, Z., Li, Y., … Zhu, Z. (2023, November 29). Learning to bid and rank together in recommendation systems. MACHINE LEARNING. https://doi.org/10.1007/s10994-023-06444-4

Yu, Z., Fahid, F. M., Tu, H., & Menzies, T. (2022). Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 48(5), 1676–1691. https://doi.org/10.1109/TSE.2020.3031401

Fahid, F. M., Acosta, H., Lee, S., Carpenter, D., Mott, B., Bae, H., … Lester, J. (2022). Multimodal Behavioral Disengagement Detection for Collaborative Game-Based Learning. ARTIFICIAL INTELLIGENCE IN EDUCATION: POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS AND DOCTORAL CONSORTIUM, PT II, Vol. 13356, pp. 218–221. https://doi.org/10.1007/978-3-031-11647-6_38

Fahid, F. M., Rowe, J. P., Spain, R. D., Goldberg, B. S., Pokorny, R., & Lester, J. (2022). Robust Adaptive Scaffolding with Inverse Reinforcement Learning-Based Reward Design. ARTIFICIAL INTELLIGENCE IN EDUCATION: POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS AND DOCTORAL CONSORTIUM, PT II, Vol. 13356, pp. 204–207. https://doi.org/10.1007/978-3-031-11647-6_35

Fahid, F. M., Rowe, J. P., Spain, R. D., Goldberg, B. S., Pokorny, R., & Lester, J. (2021). Adaptively Scaffolding Cognitive Engagement with Batch Constrained Deep Q-Networks. ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT I, Vol. 12748, pp. 113–124. https://doi.org/10.1007/978-3-030-78292-4_10

Shrikanth, N. C., Nichols, W., Fahid, F. M., & Menzies, T. (2021). Assessing practitioner beliefs about software engineering. EMPIRICAL SOFTWARE ENGINEERING, 26(4). https://doi.org/10.1007/s10664-021-09957-5

Tian, X., Wiggins, J. B., Fahid, F. M., Emerson, A., Bounajim, D., Smith, A., … Lester, J. (2021). Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science. ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT II, Vol. 12749, pp. 355–360. https://doi.org/10.1007/978-3-030-78270-2_63

Yu, Z., Fahid, F., Menzies, T., Rothermel, G., Patrick, K., & Cherian, S. (2019). TERMINATOR: Better Automated UI Test Case Prioritization. ESEC/FSE'2019: PROCEEDINGS OF THE 2019 27TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, pp. 883–894. https://doi.org/10.1145/3338906.3340448