Daniel D. Leeds

According to our database, Daniel D. Leeds authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Introduction to the Minitrack on Educational Data Mining for Decision Making.

Yi Ding, Daniel D. Leeds, Yijun Zhao, Gary Weiss

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

The Construction and Analysis of Course Grades Across Public Universities.

Hyun Jeong, Gary M. Weiss, Audrey Leung, Daniel D. Leeds

Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023

An Analysis of Grading Patterns in Undergraduate University Courses.

Gary M. Weiss, Luisa A. L. Rosa, Hyun Jeong, Daniel D. Leeds

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022

Generalized Sequential Pattern Mining of Undergraduate Courses.

Daniel D. Leeds, Cody Chen, Yijun Zhao, Fiza Metla, James Guest, Gary Weiss

Proceedings of the 15th International Conference on Educational Data Mining, 2022

The Impact of Semester Gaps on Student Grades.

Gary Weiss, Joseph Denham, Daniel D. Leeds

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Assessing Instructor Effectiveness Based on Future Student Performance.

Gary Weiss, Erik Brown, Michael Riad-Zaky, Ruby Iannone, Daniel D. Leeds

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments: Extended Version.

Gary M. Weiss, Nam Nguyen, Karla Dominguez, Daniel D. Leeds

CoRR, 2021

Mining Course Groupings based on Academic Performance.

Daniel D. Leeds, Tianyi Zhang, Gary Weiss

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Measuring the Academic Impact of Course Sequencing using Student Grade Data.

Tess Gutenbrunner, Daniel D. Leeds, Spencer Ross, Michael Riad-Zaky, Gary Weiss

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments.

Gary Weiss, Nam Nguyen, Karla Dominguez, Daniel D. Leeds

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Identifying local cognitive representations in the brain across age spans through voxel searchlights and representational similarity analysis.

Laura G. Reno, Christian G. Habeck, Yaakov Stern, Daniel D. Leeds

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

A College Major Recommendation System.

Samuel Alexander Stein, Gary M. Weiss, Yiwen Chen, Daniel D. Leeds

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2016

A method for real-time visual stimulus selection in the study of cortical object perception.

Daniel D. Leeds, Michael J. Tarr

NeuroImage, 2016

Landmark detection with surprise saliency using convolutional neural networks.

Feng Tang, Damian M. Lyons, Daniel D. Leeds

Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

Single-kernel models of single-voxel visual selectivities in convolution neural networks.

Daniel D. Leeds, Ivan Iotzov

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2014

Exploration of complex visual feature spaces for object perception.

Daniel D. Leeds, John A. Pyles, Michael J. Tarr

Frontiers Comput. Neurosci., 2014