FAIRMI - Idiap Publications

Update cookies preferences

Name:

FAIRMI

Optimizing Fairness and Utility in Healthcare Machine Learning Models, Maira Fatoreto, Gökhan Özbulak, Lilian Berton and André Anjos, in: Applied Soft Computing, 181(113426), 2025

Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025, Matej Vitek, Darian Tomašević, Abhijit Das, Sabari Nathan, Gökhan Özbulak, Gözde Ayşe Tataroğlu Özbulak, Jean-Paul Calbimonte, André Anjos, Hariohm Hemant Bhatt, Dhruv Dhirendra Premani, Jay Chaudhari, Caiyong Wang, Jian Jiang, Chi Zhang, Qi Zhang, Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Divya Velayudan, Maregu Assefa, Naoufel Werghi, Zachary A Daniels, Leeon John, Ritesh Vyas, Jalil Nourmohammadi Khiarak, Taher Akbari Saeed, Mahsa Nasehi, Ali Kianfar, Mobina Pashazadeh Panahi, Geetanjali Sharma, Pushp Raj Panth, Raghavendra Ramachandra, Aditya Nigam, Umapada Pal, Helio Pedrini and Vitomir Struc, in: International Joint Conference on Biometrics, IEEE, 2025

Does Data-Efficient Generalization Exacerbate Bias in Foundation Models?, Dilermando Queiroz Neto, Anderson Carlos, Maíra Fatoretto, Luis Filipe Nakayama, André Anjos and Lilian Berton, in: Proceedings of the 18th European Conference on Computer Vision, 2024

attachment

Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data, Dilermando Queiroz Neto, André Anjos and Lilian Berton, in: Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention, 2024

attachment

[DOI]
[URL]

processing time: 0.0003 seconds.