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Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions


Jan 03, 2022
Marwan Omar, Soohyeon Choi, DaeHun Nyang, David Mohaisen

* Survey; 2 figures, 4 tables 

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Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning


Sep 22, 2021
Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu

* SIGSPATIAL 2021 

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ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation


Aug 30, 2021
Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, RhongHo Jang, Daehun Nyang, David Mohaisen

* 11 pages 

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Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube


Mar 03, 2021
Sultan Alshamrani, Ahmed Abusnaina, Mohammed Abuhamad, Daehun Nyang, David Mohaisen


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On the Performance of Generative Adversarial Network (GAN) Variants: A Clinical Data Study


Sep 21, 2020
Jaesung Yoo, Jeman Park, An Wang, David Mohaisen, Joongheon Kim


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Generating Adversarial Examples with an Optimized Quality


Jun 30, 2020
Aminollah Khormali, DaeHun Nyang, David Mohaisen


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Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Survey


Jan 23, 2020
Mohammed Abuhamad, Ahmed Abusnaina, DaeHun Nyang, David Mohaisen

* 17 pages 

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Computer Systems Have 99 Problems, Let's Not Make Machine Learning Another One


Nov 28, 2019
David Mohaisen, Songqing Chen

* 5 pages; 0 figures; 0 tables. To appear in IEEE TPS 2019 (vision track) 

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