Michael Pazzani

According to our database, Michael Pazzani authored at least 4 papers between 2023 and 2024.

Collaborative distances:

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

2024

ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization.

Hong Nguyen, Hoang Nguyen, Melinda Chang, Hieu H. Pham, Shrikanth Narayanan, Michael Pazzani

CoRR, 2024

Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models.

Zhiwei Li, Carl Kesselman, Mike D'Arcy, Michael Pazzani, Benjamin Yizing Xu

Proceedings of the 20th IEEE International Conference on e-Science, 2024

ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization.

Hong Nguyen, Hoang Nguyen, Melinda Chang, Hieu Pham, Shrikanth Narayanan, Michael Pazzani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Explainable Severity ranking via pairwise n-hidden comparison: a case study of glaucoma.

Hong Nguyen, Cuong V. Nguyen, Shrikanth Narayanan, Benjamin Y. Xu, Michael Pazzani

CoRR, 2023