| 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 | 79* | 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 | 53 | 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 | 51 | 2020 |
| Tabfairgan: Fair tabular data generation with generative adversarial networks A Rajabi, OO Garibay Machine Learning and Knowledge Extraction 4 (2), 488-501, 2022 | 41 | 2022 |
| 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 | 25 | 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, 903-917, 2021 | 8 | 2021 |
| 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 | 8 | 2020 |
| Sinkhole Detection and Quantification Using LiDAR Data A Rajabi | 8 | 2018 |
| 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 | 7 | 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 | 4 | 2023 |
| Towards fairness in ai: Addressing bias in data using gans A Rajabi, OO Garibay HCI International 2021-Late Breaking Papers: Multimodality, eXtended Reality …, 2021 | 4 | 2021 |
| Distraction is all you need for fairness M Yazdani-Jahromi, AA Rajabi, A Tayebi, OO Garibay arXiv preprint arXiv:2203.07593, 2022 | 3 | 2022 |
| 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 …, 2021 | 2 | 2021 |
| Resistance of communities against disinformation A Rajabi, S Talebzadehhosseini, I Garibay Proceedings of the 2019 International Conference of The Computational Social …, 2021 | 2 | 2021 |
| 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* | |
| Distance Correlation GAN: Fair Tabular Data Generation with Generative Adversarial Networks A Rajabi, OO Garibay International Conference on Human-Computer Interaction, 431-445, 2023 | | 2023 |
| Addressing Human-centered Artificial Intelligence: Fair Data Generation and Classification and Analyzing Algorithmic Curation in Social Media A Rajabi | | 2022 |
Ivan GaribayDirector & Associate Professor, University of Central FloridaVerifierad e-postadress på UCF.edu
