2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Effectiveness of Deep Image Embedding Clustering Methods on Tabular Data
Sakib Abrar, Ali Sekmen, Manar D. Samad
Deep learning methods in the literature are commonly benchmarked on image data sets, which may not be suitable or effective baselines for non-image tabular data. In this paper, we…
cs.LG2022
Perturbation of Deep Autoencoder Weights for Model Compression and Classification of Tabular Data
Manar Samad, Sakib Abrar
Fully connected deep neural networks (DNN) often include redundant weights leading to overfitting and high memory requirements. Additionally, the performance of DNN is often challe…
cs.LG2022★ 2 cited
Missing Value Estimation using Clustering and Deep Learning within Multiple Imputation Framework
Manar D Samad, Sakib Abrar, Norou Diawara
Missing values in tabular data restrict the use and performance of machine learning, requiring the imputation of missing values. The most popular imputation algorithm is arguably m…