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ORCIDAida Tayebi
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2020 – today
- 2024
[c3]Aida Tayebi, Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Niloofar Yousefi, Özlem Özmen Garibay:
Learning Fair Representations: Mitigating Statistical Dependencies. HCI (52) 2024: 105-115- [c2]Ali Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi, Niloofar Yousefi, Aida Tayebi, Sina Abdidizaji, Özlem Özmen Garibay:
FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation. RECOMB 2024: 68-85 - [i4]Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Amirarsalan Rajabi, Aida Tayebi, Ivan Garibay, Özlem Özmen Garibay:
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium. CoRR abs/2410.16432 (2024) - 2023
- [j2]Niloofar Yousefi, Mehdi Yazdani-Jahromi
, Aida Tayebi, Elayaraja Kolanthai, Craig J. Neal, Tanumoy Banerjee, Agnivo Gosai, Ganesh Balasubramanian, Sudipta Seal, Özlem Özmen Garibay:
BindingSite-AugmentedDTA: enabling a next-generation pipeline for interpretable prediction models in drug repurposing. Briefings Bioinform. 24(3) (2023) - [c1]Aida Tayebi, Özlem Özmen Garibay:
Improving Fairness via Deep Ensemble Framework Using Preprocessing Interventions. HCI (40) 2023: 477-489 - [i3]Ali Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi, Niloofar Yousefi, Aida Tayebi, Sina Abdidizaji, Özlem Özmen Garibay:
FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation. CoRR abs/2311.02326 (2023) - 2022
- [j1]Mehdi Yazdani-Jahromi, Niloofar Yousefi, Aida Tayebi, Elayaraja Kolanthai, Craig J. Neal, Sudipta Seal, Özlem Özmen Garibay:
AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification. Briefings Bioinform. 23(4) (2022) - [i2]Mehdi Yazdani-Jahromi, Amirarsalan Rajabi, Aida Tayebi, Özlem Özmen Garibay:
Distraction is All You Need for Fairness. CoRR abs/2203.07593 (2022) - 2020
- [i1]Ece Çigdem Mutlu, Toktam A. Oghaz, Jasser Jasser, Ege Tütüncüler, Amirarsalan Rajabi, Aida Tayebi, Özlem Özmen Garibay, Ivan Garibay:
A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19. CoRR abs/2009.01188 (2020)
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