15 citations · 33 across the 21 of their papers we have counts for
26 papers
Copula Adapted Directed Acyclic Graph for Cluster Representation of Biomedical Data
Heranga K. Rathnasekara, Norou Diawara, Manar D. Samad
Diagnostic errors and mislabeling are common in biomedicine, which compromise the reliability of predictive models and data-driven outcomes. Stratifying unlabeled biomedical data b…
Generalized Context in Cross Attention for Transfer Learning of Disjoint Tabular Data
Kazi F. Akhter, Ibna Kowsar, Manar D. Samad
Unlike images and text, applying transfer learning to tabular data is challenging due to heterogeneity in feature types, structures, and semantics across disparate domains. Existin…
Importance Scoring of Transformer Attention Heads in Learning Tabular Data
Ahmad Jad Allah, Kazi F. Akhter, Md. Kamrozzaman Bhuiyan +1
Computationally demanding and opaque deep learning models can be better understood and optimized by analyzing how they transform data. While deep transformers have been widely stud…
Ensemble of Unsupervised Deep Learning for Clustering Imbalanced Tabular Data
Pulock Das, Yina Hou, Md. Kamrozzaman Bhuiyan +1
Data imbalance poses a major challenge in supervised classification, where the majority-class bias contributes to false negatives and overestimates classification accuracy. Unsuper…
A Fair Benchmarking of Deep Relational Database Learning Models
Kazi F. Akhter, Bharath Ajendla, Manar D. Samad
Relational databases (RDBs) are the primary data infrastructure in many enterprises, yet recent deep learning methods designed for RDBs have been evaluated under inconsistent exper…
Vine Copulas for Analyzing Multivariate Conditional Dependencies in Electronic Health Records Data
Manar D. Samad, Yina Hou, Megan A. Witherow +1
Electronic health records (EHR) store hundreds of demographic and laboratory variables from large patient populations. Traditional statistical methods have limited capacity in proc…