15 citations · 33 across the 21 of their papers we have counts for
4 papers · 1 filter
Between-Sample Relationship in Learning Tabular Data Using Graph and Attention Networks
Shourav B. Rabbani, Manar D. Samad
Traditional machine learning assumes samples in tabular data to be independent and identically distributed (i.i.d). This assumption may miss useful information within and between s…
Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking
Maksims Kazijevs, Manar D. Samad
The imputation of missing values in multivariate time series (MTS) data is critical in ensuring data quality and producing reliable data-driven predictive models. Apart from many s…
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…
Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning
Shourav B. Rabbani, Ivan V. Medri, Manar D. Samad
Deep learning methods are primarily proposed for supervised learning of images or text with limited applications to clustering problems. In contrast, tabular data with heterogeneou…