TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks von Rajabi, Amirarsalan, Garibay, Ozlem Ozmen

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Review on Learning and Extracting Graph Features for Link Prediction von Mutlu, Ece C., Oghaz, Toktam, Rajabi, Amirarsalan, Garibay, Ivan

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A stance data set on polarized conversations on Twitter about the efficacy of hydroxychloroquine as a treatment for COVID-19 von Mutlu, Ece C., Oghaz, Toktam, Jasser, Jasser, Tutunculer, Ege, Rajabi, Amirarsalan, Tayebi, Aida, Ozmen, Ozlem, Garibay, Ivan

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Investigating Dynamics of COVID-19 Spread and Containment with Agent-Based Modeling von Rajabi, Amirarsalan, Mantzaris, Alexander, Mutlu, Ece C., Garibay, Ozlem O.

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Polarization in social media assists influencers to become more influential: analysis and two inoculation strategies von Garibay, Ivan, Mantzaris, Alexander V., Rajabi, Amirarsalan, Taylor, Cameron E.

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Distance Correlation GAN: Fair Tabular Data Generation with Generative Adversarial Networks von Rajabi, Amirarsalan, Garibay, Ozlem Ozmen

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Towards Fairness in AI: Addressing Bias in Data Using GANs von Rajabi, Amirarsalan, Garibay, Ozlem O.

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Exploring the disparity of influence between users in the discussion of Brexit on Twitter: Twitter influence disparity in Brexit If so, write it here von Rajabi, Amirarsalan, Mantzaris, Alexander V., Atwal, Kuldip Singh, Garibay, Ivan

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CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter von Mutlu, Ece Çiğdem, Rajabi, Amirarsalan, Garibay, Ivan

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Resistance of Communities Against Disinformation von Rajabi, Amirarsalan, Talebzadehhosseini, Seyyedmilad, Garibay, Ivan

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Through a Fair Looking-Glass: Mitigating Bias in Image Datasets von Rajabi, Amirarsalan, Yazdani-Jahromi, Mehdi, Garibay, Ozlem Ozmen, Sukthankar, Gita

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On Countering Disinformation with Caution: Effective Inoculation Strategies and Others that Backfire into Community Hyper-Polarization von Rajabi, Amirarsalan, Gunaratne, Chathika, Mantzaris, Alexander V., Garibay, Ivan

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A Preliminary Study on Use of LiDAR Data to Characterize Sinkholes in Central Florida von Kim, YongSeong, Nam, Boo Hyun, Rajabi, Amirarsalan, Kim, Sung-Hee, Kim, BumJoo, Kim, YongJe

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TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks von Rajabi, Amirarsalan, Garibay, Ozlem Ozmen

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Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium von Yazdani-Jahromi, Mehdi, Yalabadi, Ali Khodabandeh, Rajabi, AmirArsalan, Tayebi, Aida, Garibay, Ivan, Garibay, Ozlem Ozmen

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Through a fair looking-glass: mitigating bias in image datasets von Rajabi, Amirarsalan, Yazdani-Jahromi, Mehdi, Garibay, Ozlem Ozmen, Sukthankar, Gita

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CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter von Mutlu, Ece Çiğdem, Rajabi, Amirarsalan, Garibay, Ivan

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Resistance of communities against disinformation von Rajabi, Amirarsalan, Talebzadehhosseini, Seyyedmilad, Garibay, Ivan

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Review on Learning and Extracting Graph Features for Link Prediction von Mutlu, Ece C, Oghaz, Toktam A, Rajabi, Amirarsalan, Garibay, Ivan

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TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks von Rajabi, Amirarsalan, Garibay, Ozlem Ozmen

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