Published in International Conference on Human-Computer Interaction, 2023
Recommended citation: Rajabi, A., Yazdani-Jahromi, M., Garibay, O. O., & Sukthankar, G. (2023, July). Through a fair looking-glass: mitigating bias in image datasets. In International Conference on Human-Computer Interaction (pp. 446-459). Cham: Springer Nature Switzerland.
Published in International Conference on Human-Computer Interaction, 2023
Recommended citation: Rajabi, A., & Garibay, O. O. (2023, July). Distance Correlation GAN: Fair Tabular Data Generation with Generative Adversarial Networks. In International Conference on Human-Computer Interaction (pp. 431-445). Cham: Springer Nature Switzerland.
Published in arXiv , 2022
Recommended citation: Yazdani-Jahromi, M., Rajabi, A., Tayebi, A., & Garibay, O. O. (2022). Distraction is all you need for fairness. arXiv preprint arXiv:2203.07593.
Published in Machine Learning and Knowledge Extraction, 2022
Recommended citation: Rajabi, A., & Garibay, O. O. (2022). Tabfairgan: Fair tabular data generation with generative adversarial networks. Machine Learning and Knowledge Extraction, 4(2), 488-501.
Published in Journal of Computational Social Science, 2021
Recommended citation: Rajabi, A., Mantzaris, A. V., Atwal, K. S., & Garibay, I. (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. Journal of Computational Social Science, 4, 903-917.
Published in Machine Learning and Knowledge Extraction, 2020
Recommended citation: Mutlu, E. C., Oghaz, T., Rajabi, A., & Garibay, I. (2020). Review on learning and extracting graph features for link prediction. Machine Learning and Knowledge Extraction, 2(4), 672-704.
Published in Nature Scientific Reports, 2019
Recommended citation: Garibay, I., Mantzaris, A. V., Rajabi, A., & Taylor, C. E. (2019). Polarization in social media assists influencers to become more influential: analysis and two inoculation strategies. Scientific reports, 9(1), 18592.