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2020 – today
- 2024
[i7]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
- [c5]Amirarsalan Rajabi, Özlem Özmen Garibay:
Distance Correlation GAN: Fair Tabular Data Generation with Generative Adversarial Networks. HCI (40) 2023: 431-445 - [c4]Amirarsalan Rajabi, Mehdi Yazdani-Jahromi, Özlem Özmen Garibay, Gita Sukthankar:
Through a Fair Looking-Glass: Mitigating Bias in Image Datasets. HCI (40) 2023: 446-459 - 2022
- [j3]Amirarsalan Rajabi
, Özlem Özmen Garibay:
TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks. Mach. Learn. Knowl. Extr. 4(2): 488-501 (2022) - [i6]Mehdi Yazdani-Jahromi, Amirarsalan Rajabi, Aida Tayebi, Özlem Özmen Garibay:
Distraction is All You Need for Fairness. CoRR abs/2203.07593 (2022) - [i5]Amirarsalan Rajabi, Mehdi Yazdani-Jahromi, Özlem Özmen Garibay, Gita Sukthankar:
Through a fair looking-glass: mitigating bias in image datasets. CoRR abs/2209.08648 (2022) - 2021
- [j2]Amirarsalan Rajabi, Alexander V. Mantzaris, Kuldip Singh Atwal, Ivan Garibay:
Exploring the disparity of influence between users in the discussion of Brexit on Twitter: Twitter influence disparity in Brexit If so, write it here. J. Comput. Soc. Sci. 4(2): 903-917 (2021) - [c3]Amirarsalan Rajabi, Ozlem O. Garibay:
Towards Fairness in AI: Addressing Bias in Data Using GANs. HCI (41) 2021: 509-518 - [i4]Amirarsalan Rajabi, Özlem Özmen Garibay:
TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks. CoRR abs/2109.00666 (2021) - 2020
- [j1]Ece C. Mutlu, Toktam A. Oghaz, Amirarsalan Rajabi, Ivan Garibay:
Review on Learning and Extracting Graph Features for Link Prediction. Mach. Learn. Knowl. Extr. 2(4): 672-704 (2020) - [c2]Amirarsalan Rajabi, Chathika Gunaratne, Alexander V. Mantzaris, Ivan Garibay:
Modeling Disinformation and the Effort to Counter It: A Cautionary Tale of When the Treatment Can Be Worse Than the Disease. AAMAS 2020: 1975-1977 - [c1]Amirarsalan Rajabi, Chathika Gunaratne, Alexander V. Mantzaris, Ivan Garibay:
On Countering Disinformation with Caution: Effective Inoculation Strategies and Others that Backfire into Community Hyper-Polarization. SBP-BRiMS 2020: 130-139 - [i3]Amirarsalan Rajabi, Seyyedmilad Talebzadehhosseini, Ivan Garibay:
Resistance of communities against disinformation. CoRR abs/2004.00379 (2020) - [i2]Ece Çigdem Mutlu, Amirarsalan Rajabi, Ivan Garibay:
CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter. CoRR abs/2008.12723 (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)
Coauthor Index
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