3 citations · 3 across the 1 of their papers we have counts for
3 papers
Automated Detection of Algorithm Debt in Deep Learning Frameworks: An Empirical Study
Emmanuel Iko-Ojo Simon, Chirath Hettiarachchi, Alex Potanin +2
Context: Previous studies demonstrate that Machine or Deep Learning (ML/DL) models can detect Technical Debt from source code comments called Self-Admitted Technical Debt (SATD). D…
Comparing Deep Learning Models for the Task of Volatility Prediction Using Multivariate Data
Wenbo Ge, Pooia Lalbakhsh, Leigh Isai +2
This study aims to compare multiple deep learning-based forecasters for the task of predicting volatility using multivariate data. The paper evaluates a range of models, starting f…
High Accuracy Protein Identification: Fusion of solid-state nanopore sensing and machine learning
Shankar Dutt, Hancheng Shao, Buddini Karawdeniya +4
Proteins are arguably the most important class of biomarkers for health diagnostic purposes. Label-free solid-state nanopore sensing is a versatile technique for sensing and analys…