Matthew P. Skerritt

According to our database, Matthew P. Skerritt authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

Noise-Robust Topology Estimation of 2D Image Data via Neural Networks and Persistent Homology.

Dylan Peek, Matthew P. Skerritt, Stephan K. Chalup

CoRR, September, 2025

Time Series Analysis of Spiking Neural Systems via Transfer Entropy and Directed Persistent Homology.

Dylan Peek, Siddharth Pritam, Matthew P. Skerritt, Stephan K. Chalup

CoRR, August, 2025

Diverging Assessment: A Student Perspective.

William Billingsley, Ljiljana Brankovic, Nan Li, David J. Paul, Amin Sakzad, Matthew P. Skerritt, Judithe Sheard

Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1, 2025

2024

Optimal Experimental Design for Partially Observable Pure Birth Processes.

Ali Eshragh, Matthew P. Skerritt, Bruno Salvy, Thomas McCallum

CoRR, 2024

Diverging assessments: What, Why, and Experiences.

Amin Sakzad, David J. Paul, Judithe Sheard, Ljiljana Brankovic, Matthew P. Skerritt, Nan Li, Sepehr Minagar, Simon, William Billingsley

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

2023

Manifesting Unobtainable Secrets: Threshold Elliptic Curve Key Generation using Nested Shamir Secret Sharing.

Joanne L. Hall, Yuval Hertzog, Michael Loewy, Matthew P. Skerritt, Dominique Valladolid, Geetika Verma

CoRR, 2023

Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data.

Dylan Peek, Matthew P. Skerritt, Stephan K. Chalup

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023