TERMINATOR: better automated UI test case prioritization Z Yu, F Fahid, T Menzies, G Rothermel, K Patrick, S Cherian Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019 | 48 | 2019 |
Identifying self-admitted technical debts with jitterbug: A two-step approach Z Yu, FM Fahid, H Tu, T Menzies IEEE Transactions on Software Engineering 48 (5), 1676-1691, 2020 | 42 | 2020 |
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization J Chakraborty, T Xia, FM Fahid, T Menzies arXiv preprint arXiv:1905.05786, 2019 | 41 | 2019 |
Exploring Novice Programmers' Hint Requests in an Intelligent Block-Based Coding Environment JB Wiggins, FM Fahid, A Emerson, M Hinckle, A Smith, KE Boyer, B Mott, ... Proceedings of the 52nd ACM Technical Symposium on Computer Science …, 2021 | 16 | 2021 |
Adaptively scaffolding cognitive engagement with batch constrained deep Q-networks FM Fahid, JP Rowe, RD Spain, BS Goldberg, R Pokorny, J Lester International conference on artificial intelligence in education, 113-124, 2021 | 15 | 2021 |
Assessing practitioner beliefs about software engineering NC Shrikanth, W Nichols, FM Fahid, T Menzies Empirical Software Engineering 26 (4), 73, 2021 | 13 | 2021 |
Progression trajectory-based student modeling for novice block-based programming F Morshed Fahid, X Tian, A Emerson, J B. Wiggins, D Bounajim, A Smith, ... Proceedings of the 29th ACM Conference on User Modeling, Adaptation and …, 2021 | 11 | 2021 |
Better Technical Debt Detection via SURVEYing FM Fahid, Z Yu, T Menzies arXiv preprint arXiv:1905.08297, 2019 | 7 | 2019 |
Applying Cognitive Load Theory to Examine STEM Undergraduate Students’ Experiences in An Adaptive Learning Environment: A Mixed-Methods Study D Bounajim, A Rachmatullah, M Hinckle, B Mott, J Lester, A Smith, ... Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65 (1 …, 2021 | 4 | 2021 |
Robust Adaptive Scaffolding with Inverse Reinforcement Learning-Based Reward Design FM Fahid, JP Rowe, RD Spain, BS Goldberg, R Pokorny, J Lester International Conference on Artificial Intelligence in Education, 204-207, 2022 | 3 | 2022 |
Effects of Modalities in Detecting Behavioral Engagement in Collaborative Game-Based Learning FM Fahid, S Lee, B Mott, J Vandenberg, H Acosta, T Brush, K Glazewski, ... LAK23: 13th International Learning Analytics and Knowledge Conference, 208-218, 2023 | 2 | 2023 |
Multimodal behavioral disengagement detection for collaborative game-based learning FM Fahid, H Acosta, S Lee, D Carpenter, B Mott, H Bae, A Saleh, T Brush, ... International Conference on Artificial Intelligence in Education, 218-221, 2022 | 1 | 2022 |
Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science X Tian, JB Wiggins, FM Fahid, A Emerson, D Bounajim, A Smith, KE Boyer, ... International Conference on Artificial Intelligence in Education, 355-360, 2021 | 1 | 2021 |
Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments FM Fahid, J Rowe, Y Kim, S Srivastava, J Lester Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23191 …, 2024 | | 2024 |
An Online Deep RL-Based Pedagogical Planning Framework for AI-Driven Learning Environments. FM Fahid | | 2024 |
Learning to bid and rank together in recommendation systems (nov, 2023, 10.1007/s10994-023-06444-4) G Ji, W Jiang, J Li, FM Fahid, Z Chen, Y Li, J Xiao, C Bao, Z Zhu MACHINE LEARNING, 2024 | | 2024 |
Correction to: Learning to bid and rank together in recommendation systems G Ji, W Jiang, J Li, FM Fahid, Z Chen, Y Li, J Xiao, C Bao, Z Zhu Machine Learning, 1-1, 2024 | | 2024 |
Learning to bid and rank together in recommendation systems G Ji, W Jiang, J Li, FM Fahid, Z Chen, Y Li, J Xiao, C Bao, Z Zhu Machine Learning, 1-15, 2023 | | 2023 |
LEARNER MODELING IN INTELLIGENT TUTORING SYSTEMS SWOTANALYSIS J Lester, A Gupta, FM Fahid, J Pande Design Recommendations for Intelligent Tutoring Systems, 43, 2023 | | 2023 |