An Unsupervised Machine Learning Approach to Assess the ZIP Code Level Impact of COVID-19 in NYC. - Fadoua Khmaissia; Pegah Sagheb Haghighi; Aarthe Jayaprakash; Zhenwei Wu; Sokratis Papadopoulos; Yuan Lai; Freddy T. Nguyen (CoRR, 2020)

Confidence-Guided Data Augmentation for Deep Semi-Supervised Training. - Fadoua Khmaissia; Hichem Frigui (CoRR, 2022)

Improving Automatic Target Recognition in Low Data Regime using Semi-Supervised Learning and Generative Data Augmentation. - Fadoua Khmaissia; Hichem Frigui (CVPR Workshops, 2023)

Can Large Language Models Learn Formal Logic? A Data-Driven Training and Evaluation Framework. - Yuan Xia; Akanksha Atrey; Fadoua Khmaissia; Kedar S. Namjoshi (CoRR, 2025)