| Tabfairgan: Fair tabular data generation with generative adversarial networks A Rajabi, OO Garibay Machine Learning and Knowledge Extraction 4 (2), 488-501, 2022 | 116 | 2022 |
| Review on learning and extracting graph features for link prediction EC Mutlu, T Oghaz, A Rajabi, I Garibay Machine Learning and Knowledge Extraction 2 (4), 672-704, 2020 | 114* | 2020 |
| Polarization in social media assists influencers to become more influential: analysis and two inoculation strategies I Garibay, AV Mantzaris, A Rajabi, CE Taylor Scientific reports 9 (1), 18592, 2019 | 65 | 2019 |
| A stance data set on polarized conversations on Twitter about the efficacy of hydroxychloroquine as a treatment for COVID-19 EC Mutlu, T Oghaz, J Jasser, E Tutunculer, A Rajabi, A Tayebi, O Ozmen, ... Data in brief 33, 106401, 2020 | 64 | 2020 |
| Investigating dynamics of COVID-19 spread and containment with agent-based modeling A Rajabi, AV Mantzaris, EC Mutlu, OO Garibay Applied Sciences 11 (12), 5367, 2021 | 30 | 2021 |
| Towards fairness in ai: Addressing bias in data using gans A Rajabi, OO Garibay International Conference on Human-Computer Interaction, 509-518, 2021 | 18 | 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 A Rajabi, AV Mantzaris, KS Atwal, I Garibay Journal of Computational Social Science 4 (2), 903-917, 2021 | 14 | 2021 |
| Modeling Disinformation and the Effort to Counter It: A Cautionary Tale of When the Treatment Can Be Worse Than the Disease A Rajabi, C Gunaratne, AV Mantzaris, I Garibay 19th International Conference on Autonomous Agents and MultiAgent Systems …, 2020 | 13 | 2020 |
| Through a fair looking-glass: mitigating bias in image datasets A Rajabi, M Yazdani-Jahromi, OO Garibay, G Sukthankar International Conference on Human-Computer Interaction, 446-459, 2023 | 12 | 2023 |
| On countering disinformation with caution: Effective inoculation strategies and others that backfire into community hyper-polarization A Rajabi, C Gunaratne, AV Mantzaris, I Garibay International conference on social computing, behavioral-cultural modeling …, 2020 | 11 | 2020 |
| Sinkhole Detection and Quantification Using LiDAR Data A Rajabi | 8 | 2018 |
| Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium M Yazdani-Jahromi, AK Yalabadi, AA Rajabi, A Tayebi, I Garibay, ... The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 6 | 2024 |
| Distraction is all you need for fairness M Yazdani-Jahromi, AA Rajabi, AK Yalabadi, A Tayebi, OO Garibay arXiv preprint arXiv:2203.07593, 2022 | 5 | 2022 |
| Distance correlation gan: Fair tabular data generation with generative adversarial networks A Rajabi, OO Garibay International Conference on Human-Computer Interaction, 431-445, 2023 | 4 | 2023 |
| Cd-seiz: Cognition-driven seiz compartmental model for the prediction of information cascades on twitter EÇ Mutlu, A Rajabi, I Garibay Proceedings of the 2020 Conference of The Computational Social Science …, 2022 | 4 | 2022 |
| Resistance of communities against disinformation A Rajabi, S Talebzadehhosseini, I Garibay Conference of the Computational Social Science Society of the Americas, 29-37, 2020 | 3 | 2020 |
| Polarización en redes sociales ayuda a que los influencers tengan más influencia: Análisis y dos estrategias de inoculación AV Mantzaris, I Garibay Perfiles de ingeniería 15 (15), 53-67, 2019 | 2 | 2019 |
| A Preliminary Study on Use of LiDAR Data to Characterize Sinkholes in Central Florida A Rajabi, YJ Kim, SH Kim, YS Kim, BJ Kim, BH Nam IFCEE 2018, 23-31, 0 | 2* | |
| Addressing Human-centered Artificial Intelligence: Fair Data Generation and Classification and Analyzing Algorithmic Curation in Social Media A Rajabi | 1 | 2022 |