Tyler Clark

According to our database, Tyler Clark authored at least 9 papers between 2017 and 2026.

Collaborative distances:

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

2026

The Erosion of Statewide Data Access: Structural Barriers to Monitoring Equity in K-12 Computing.

Rebecca Zarch, Jayce R. Warner, Todd Hall, Tyler Clark, Jacqueline McCune, Joshua Childs

Proceedings of the 2026 Conference on Research on Equity and Sustained Participation in Engineering, 2026

Reckoning with Ten Years of 'CS for All': Was the Stand-Alone Course the Right Path to Equity?

Rebecca Zarch, Tyler Clark, Aman Yadav

Proceedings of the 2026 Conference on Research on Equity and Sustained Participation in Engineering, 2026

Beyond the Campus Gates: Toward a Distance-Inclusive Broadening Participation Agenda.

Tyler Clark, Rebecca Zarch

Proceedings of the 2026 Conference on Research on Equity and Sustained Participation in Engineering, 2026

2025

Recurrent Off-Policy Deep Reinforcement Learning Doesn't Have to be Slow.

Tyler Clark, Christine Evers, Jonathon Hare

CoRR, December, 2025

Black in the Cloud: Race, Retention, and Representation in Online Computing Programs.

Mika Hurd, Tyler Clark, Rebecca Zarch

Proceedings of the 2025 Conference on Research on Equitable and Sustained Participation in Engineering, 2025

Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC.

Tyler Clark, Mark Towers, Christine Evers, Jonathon Hare

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Uncovering the Impact of Online Programs in Broadening Participation in Computer Science: An Experience Report Studying Graduation Rates of Black Undergraduate Students.

Talia Goldwasser, Tyler Clark, Rebecca Zarch, Alan Peterfreund

Proceedings of the RESPECT Annual Conference, 2024

2020

Visualizing and Predicting Culex Tarsalis Trapcounts for West Nile Virus (WNV) Disease Incidence using Machine Learning Models.

Radhakrishnan Angamuthu Chinnathambi, Alex Marquette, Tyler Clark, Aaron Johnson, Daisy Flora Selvaraj, Jeff Vaughan, Todd Hanson, Scott Hanson, Prakash Ranganathan, Naima Kaabouch

Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020

2017

Fully Deep Convolutional Neural Networks for Segmentation of the Prostate Gland in Diffusion-Weighted MR Images.

Tyler Clark, Alexander Wong, Masoom A. Haider, Farzad Khalvati

Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017