Tabnet: Attentive interpretable tabular learning
We propose a novel high-performance and interpretable canonical deep tabular data
learning architecture, TabNet. TabNet uses sequential attention to choose which features to …
learning architecture, TabNet. TabNet uses sequential attention to choose which features to …
On the study of deep learning active vision systems
PA Ozimek - 2022 - theses.gla.ac.uk
This thesis presents a series of investigations into various active vision algorithms. An
experimental method for evaluating active vision memory is proposed and used to …
experimental method for evaluating active vision memory is proposed and used to …
Detection of Lung Adenocarcinoma Cancer based on RNA-seq gene expression data using LIMMA and TabNet
FB Rahman, F Anjum, MHF Khan - 2022 - 103.82.172.44
Lung cancer is one of the deadliest diseases of the world to this date with the highest
mortality rate amidst all other forms of cancer. Detection of cancer in early stages is crucial …
mortality rate amidst all other forms of cancer. Detection of cancer in early stages is crucial …