Rethinking Cost-Sensitive Classification in Deep Learning via Adversarial Data Augmentation
- Qiyuan Chen ,
Qiyuan Chen
[email protected]https://orcid.org/0009-0006-4112-014X
Industrial & Operation Engineering, University of Michigan, Ann Arbor, Michigan 48109
- Raed Al Kontar ,
Corresponding Author
Raed Al Kontar
[email protected]https://orcid.org/0000-0002-4546-324X
Industrial & Operation Engineering, University of Michigan, Ann Arbor, Michigan 48109
- Maher Nouiehed ,
Maher Nouiehed
[email protected]https://orcid.org/0000-0001-8089-7011
Industrial Engineering, American University of Beirut, Beirut 1107 2020, Lebanon
- X. Jessie Yang ,
X. Jessie Yang
[email protected]https://orcid.org/0000-0001-6071-0387
Industrial & Operation Engineering, University of Michigan, Ann Arbor, Michigan 48109
- Corey Lester
Corey Lester
[email protected]https://orcid.org/0000-0001-8774-793X
College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109
Qiyuan Chen
[email protected]https://orcid.org/0009-0006-4112-014X
Industrial & Operation Engineering, University of Michigan, Ann Arbor, Michigan 48109
Corresponding Author
Raed Al Kontar
[email protected]https://orcid.org/0000-0002-4546-324X
Industrial & Operation Engineering, University of Michigan, Ann Arbor, Michigan 48109
Maher Nouiehed
[email protected]https://orcid.org/0000-0001-8089-7011
Industrial Engineering, American University of Beirut, Beirut 1107 2020, Lebanon
X. Jessie Yang
[email protected]https://orcid.org/0000-0001-6071-0387
Industrial & Operation Engineering, University of Michigan, Ann Arbor, Michigan 48109
Corey Lester
[email protected]https://orcid.org/0000-0001-8774-793X
College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109

