Between-Sample Relationship in Learning Tabular Data Using Graph and Attention Networks. - Shourav B. Rabbani; Manar D. Samad (CoRR, 2023)

Attention-Based Imputation of Missing Values in Electronic Health Records Tabular Data. - Ibna Kowsar; Shourav B. Rabbani; Manar D. Samad (ICHI, 2024)

Attention versus Contrastive Learning of Tabular Data - A Data-centric Benchmarking. - Shourav B. Rabbani; Ivan V. Medri; Manar D. Samad (CoRR, 2024)

Deep clustering of tabular data by weighted Gaussian distribution learning. - Shourav B. Rabbani; Ivan V. Medri; Manar D. Samad (Neurocomputing, 2025)

DeepIFSAC: Deep imputation of missing values using feature and sample attention within contrastive framework. - Ibna Kowsar; Shourav B. Rabbani; Yina Hou; Manar D. Samad (Knowl. Based Syst., 2025)

Transfer Learning of Tabular Data by Finetuning Large Language Models. - Shourav B. Rabbani; Ibna Kowsar; Manar D. Samad (CoRR, 2025)

DeepIFSA: Deep Imputation of Missing Values Using Feature and Sample Attention. - Ibna Kowsar; Shourav B. Rabbani; Yina Hou; Manar D. Samad (CoRR, 2025)

No Imputation of Missing Values In Tabular Data Classification Using Incremental Learning. - Manar D. Samad; Kazi Fuad Bin Akhter; Shourav B. Rabbani; Ibna Kowsar (CoRR, 2025)

Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records. - Yina Hou; Shourav B. Rabbani; Liang Hong; Norou Diawara; Manar D. Samad (CoRR, 2025)