Fahmid M. Fahid

According to our database, Fahmid M. Fahid authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning to bid and rank together in recommendation systems.

Geng Ji, Wentao Jiang, Jiang Li, Fahmid Morshed Fahid, Zhengxing Chen, Yinghua Li, Jun Xiao, Chongxi Bao, Zheqing Zhu

Mach. Learn., May, 2024

Correction to: Learning to bid and rank together in recommendation systems.

Geng Ji, Wentao Jiang, Jiang Li, Fahmid Morshed Fahid, Zhengxing Chen, Yinghua Li, Jun Xiao, Chongxi Bao, Zheqing Zhu

Mach. Learn., 2024

Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments.

Fahmid Morshed Fahid, Jonathan P. Rowe, Yeojin Kim, Shashank Srivastava, James C. Lester

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Effects of Modalities in Detecting Behavioral Engagement in Collaborative Game-Based Learning.

Fahmid Morshed Fahid, Seung Y. Lee, Bradford W. Mott, Jessica Vandenberg, Halim Acosta, Thomas A. Brush, Krista D. Glazewski, Cindy E. Hmelo-Silver, James C. Lester

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

2022

Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach.

Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies

IEEE Trans. Software Eng., 2022

Robust Adaptive Scaffolding with Inverse Reinforcement Learning-Based Reward Design.

Fahmid Morshed Fahid, Jonathan P. Rowe, Randall D. Spain, Benjamin S. Goldberg, Robert Pokorny, James C. Lester

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Multimodal Behavioral Disengagement Detection for Collaborative Game-Based Learning.

Fahmid Morshed Fahid, Halim Acosta, Seung Y. Lee, Dan Carpenter, Bradford W. Mott, Haesol Bae, Asmalina Saleh, Thomas A. Brush, Krista D. Glazewski, Cindy E. Hmelo-Silver, James C. Lester

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021

Assessing practitioner beliefs about software engineering.

N. C. Shrikanth, William Nichols, Fahmid Morshed Fahid, Tim Menzies

Empir. Softw. Eng., 2021

Progression Trajectory-Based Student Modeling for Novice Block-Based Programming.

Fahmid Morshed Fahid, Xiaoyi Tian, Andrew Emerson, Joseph B. Wiggins, Dolly Bounajim, Andy Smith, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

Exploring Novice Programmers' Hint Requests in an Intelligent Block-Based Coding Environment.

Joseph B. Wiggins, Fahmid M. Fahid, Andrew Emerson, Madeline Hinckle, Andy Smith, Kristy Elizabeth Boyer, Bradford W. Mott, Eric N. Wiebe, James C. Lester

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science.

Xiaoyi Tian, Joseph B. Wiggins, Fahmid Morshed Fahid, Andrew Emerson, Dolly Bounajim, Andy Smith, Kristy Elizabeth Boyer, Eric N. Wiebe, Bradford W. Mott, James C. Lester

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Adaptively Scaffolding Cognitive Engagement with Batch Constrained Deep Q-Networks.

Fahmid Morshed Fahid, Jonathan P. Rowe, Randall D. Spain, Benjamin S. Goldberg, Robert Pokorny, James C. Lester

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2019

Better Technical Debt Detection via SURVEYing.

Fahmid M. Fahid, Zhe Yu, Tim Menzies

CoRR, 2019

Software Engineering for Fairness: A Case Study with Hyperparameter Optimization.

Joymallya Chakraborty, Tianpei Xia, Fahmid M. Fahid, Tim Menzies

CoRR, 2019

TERMINATOR: better automated UI test case prioritization.

Zhe Yu, Fahmid M. Fahid, Tim Menzies, Gregg Rothermel, Kyle Patrick, Snehit Cherian

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019