Morgan R. Alexander

According to our database, Morgan R. Alexander authored at least 5 papers between 2019 and 2026.

Collaborative distances:

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

2026

DF-ACBlurGAN: Structure-Aware Conditional Generation of Internally Repeated Patterns for Biomaterial Microtopography Design.

Rongjun Dong, Xin Chen, Morgan R. Alexander, Karthikeyan Sivakumar, Reza Omdivar, David A. Winkler, Grazziela Patrocinio Figueredo

CoRR, March, 2026

Helix 1.0: An open-source framework for reproducible and interpretable machine learning on tabular scientific data.

Eduardo Aguilar-Bejarano, Daniel Lea, Karthikeyan Sivakumar, Jimiama Mafeni Mase, Reza Omidvar, Ruizhe Li, Troy Kettle, James Mitchell-White, Morgan R. Alexander, David A. Winkler, Grazziela Patrocinio Figueredo

Patterns, 2026

2025

Computer Vision for Substrate Detection in High-Throughput Biomaterial Screens Using Bright-Field Microscopy.

Robert Owen, Aishah Nasir, Mahetab Amer, Chenxue Nie, Xuan Xue, Laurence Burroughs, Chris Denning, Ricky Wildman, Faraz A. Khan, Morgan R. Alexander, Felicity R. A. J. Rose

Adv. Intell. Syst., 2025

2022

Feature importance in machine learning models: A fuzzy information fusion approach.

Divish Rengasamy, Jimiama Mafeni Mase, Aayush Kumar, Benjamin Rothwell, Mercedes Torres Torres, Morgan R. Alexander, David A. Winkler, Grazziela P. Figueredo

Neurocomputing, 2022

2019

Toward Interpretable Machine Learning Models for Materials Discovery.

Paulius Mikulskis, Morgan R. Alexander, David A. Winkler

Adv. Intell. Syst., 2019