Modeling Disinformation and the Effort to Counter It: A Cautionary Tale of When the Treatment Can Be Worse Than the Disease. - Amirarsalan Rajabi; Chathika Gunaratne; Alexander V. Mantzaris; Ivan Garibay (AAMAS, 2020)

On Countering Disinformation with Caution: Effective Inoculation Strategies and Others that Backfire into Community Hyper-Polarization. - Amirarsalan Rajabi; Chathika Gunaratne; Alexander V. Mantzaris; Ivan Garibay (SBP-BRiMS, 2020)

Resistance of communities against disinformation. - Amirarsalan Rajabi; Seyyedmilad Talebzadehhosseini; Ivan Garibay (CoRR, 2020)

CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter. - Ece Çigdem Mutlu; Amirarsalan Rajabi; Ivan Garibay (CoRR, 2020)

A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19. - Ece Çigdem Mutlu; Toktam A. Oghaz; Jasser Jasser; Ege Tütüncüler; Amirarsalan Rajabi; Aida Tayebi; Özlem Özmen Garibay; Ivan Garibay (CoRR, 2020)

Review on Learning and Extracting Graph Features for Link Prediction. - Ece C. Mutlu; Toktam A. Oghaz; Amirarsalan Rajabi; Ivan Garibay (Mach. Learn. Knowl. Extr., 2020)

Towards Fairness in AI: Addressing Bias in Data Using GANs. - Amirarsalan Rajabi; Ozlem O. Garibay (HCI (41), 2021)

Exploring the disparity of influence between users in the discussion of Brexit on Twitter: Twitter influence disparity in Brexit If so, write it here. - Amirarsalan Rajabi; Alexander V. Mantzaris; Kuldip Singh Atwal; Ivan Garibay (J. Comput. Soc. Sci., 2021)

Distraction is All You Need for Fairness. - Mehdi Yazdani-Jahromi; Amirarsalan Rajabi; Aida Tayebi; Özlem Özmen Garibay (CoRR, 2022)

TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks. - Amirarsalan Rajabi; Özlem Özmen Garibay (Mach. Learn. Knowl. Extr., 2022)

Distance Correlation GAN: Fair Tabular Data Generation with Generative Adversarial Networks. - Amirarsalan Rajabi; Özlem Özmen Garibay (HCI (40), 2023)

Through a Fair Looking-Glass: Mitigating Bias in Image Datasets. - Amirarsalan Rajabi; Mehdi Yazdani-Jahromi; Özlem Özmen Garibay; Gita Sukthankar (HCI (40), 2023)

Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium. - Mehdi Yazdani-Jahromi; Ali Khodabandeh Yalabadi; Amirarsalan Rajabi; Aida Tayebi; Ivan Garibay; Ozlem O. Garibay (NeurIPS, 2024)