Nicholas Josselyn

According to our database, Nicholas Josselyn authored at least 6 papers between 2021 and 2023.

Collaborative distances:

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

2023

DeepSC-Edge: Scientific Corrosion Segmentation with Edge-Guided and Class-Balanced Losses.

Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner

Proceedings of the International Conference on Machine Learning and Applications, 2023

AlloyGAN: Domain-Promptable Generative Adversarial Network for Generating Aluminum Alloy Microstructures.

Biao Yin, Yangyang Fan, Nicholas Josselyn, Elke A. Rundensteiner

Proceedings of the International Conference on Machine Learning and Applications, 2023

MOSS: AI Platform for Discovery of Corrosion-Resistant Materials.

Biao Yin, Nicholas Josselyn, Ziming Zhang, Elke A. Rundensteiner, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation.

Nicholas Josselyn, Biao Yin, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations?

Nicholas Josselyn, Biao Yin, Ziming Zhang, Elke A. Rundensteiner

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Corrosion Image Data Set for Automating Scientific Assessment of Materials.

Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner

Proceedings of the 32nd British Machine Vision Conference 2021, 2021