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Amirarsalan Rajabi
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Year
Tabfairgan: Fair tabular data generation with generative adversarial networks
A Rajabi, OO Garibay
Machine Learning and Knowledge Extraction 4 (2), 488-501, 2022
1162022
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
652019
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
642020
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
302021
Towards fairness in ai: Addressing bias in data using gans
A Rajabi, OO Garibay
International Conference on Human-Computer Interaction, 509-518, 2021
182021
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
142021
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
132020
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
122023
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
112020
Sinkhole Detection and Quantification Using LiDAR Data
A Rajabi
82018
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
62024
Distraction is all you need for fairness
M Yazdani-Jahromi, AA Rajabi, AK Yalabadi, A Tayebi, OO Garibay
arXiv preprint arXiv:2203.07593, 2022
52022
Distance correlation gan: Fair tabular data generation with generative adversarial networks
A Rajabi, OO Garibay
International Conference on Human-Computer Interaction, 431-445, 2023
42023
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
42022
Resistance of communities against disinformation
A Rajabi, S Talebzadehhosseini, I Garibay
Conference of the Computational Social Science Society of the Americas, 29-37, 2020
32020
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
22019
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
12022
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Articles 1–19