Amirarsalan Rajabi

According to our database, Amirarsalan Rajabi authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Özlem Özmen Garibay

CoRR, 2024

2023

Through a Fair Looking-Glass: Mitigating Bias in Image Datasets.

Amirarsalan Rajabi, Mehdi Yazdani-Jahromi, Özlem Özmen Garibay, Gita Sukthankar

Proceedings of the Artificial Intelligence in HCI, 2023

Distance Correlation GAN: Fair Tabular Data Generation with Generative Adversarial Networks.

Amirarsalan Rajabi, Özlem Özmen Garibay

Proceedings of the Artificial Intelligence in HCI, 2023

2022

TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks.

Amirarsalan Rajabi, Özlem Özmen Garibay

Mach. Learn. Knowl. Extr., 2022

Distraction is All You Need for Fairness.

Mehdi Yazdani-Jahromi, Amirarsalan Rajabi, Aida Tayebi, Özlem Özmen Garibay

CoRR, 2022

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

Towards Fairness in AI: Addressing Bias in Data Using GANs.

Amirarsalan Rajabi, Ozlem O. Garibay

Proceedings of the HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence, 2021

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

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

CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter.

Ece Çigdem Mutlu, Amirarsalan Rajabi, Ivan Garibay

CoRR, 2020

Resistance of communities against disinformation.

Amirarsalan Rajabi, Seyyedmilad Talebzadehhosseini, Ivan Garibay

CoRR, 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

Proceedings of the Social, Cultural, and Behavioral Modeling, 2020

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

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020