Are Deep Image Embedding Clustering Methods Effective for Heterogeneous Tabular Data? - Sakib Abrar; Manar D. Samad (CoRR, 2022)

Missing value estimation using clustering and deep learning within multiple imputation framework. - Manar D. Samad; Sakib Abrar; Norou Diawara (Knowl. Based Syst., 2022)

Perturbation of deep autoencoder weights for model compression and classification of tabular data. - Sakib Abrar; Manar D. Samad (Neural Networks, 2022)

Effectiveness of Deep Image Embedding Clustering Methods on Tabular Data. - Sakib Abrar; Ali Sekmen; Manar D. Samad (ICACI, 2023)

Deep Image Segmentation for Defect Detection in Photo-lithography Fabrication. - Omari Paul; Sakib Abrar; Richard Mu; Riadul Islam; Manar D. Samad (ISQED, 2023)

G-CEALS: Gaussian Cluster Embedding in Autoencoder Latent Space for Tabular Data Representation. - Manar D. Samad; Sakib Abrar; Mohammad Bataineh (CoRR, 2023)

Integrating AI-powered text mining from PubTator into the manual curation workflow at the Comparative Toxicogenomics Database. - Thomas C. Wiegers; Allan Peter Davis; Jolene Wiegers; Daniela Sciaky; Fern Barkalow; Brent Wyatt; Melissa Strong; Roy McMorran; Sakib Abrar; Carolyn J. Mattingly (Database J. Biol. Databases Curation, 2025)