14 citations · 14 across the 3 of their papers we have counts for
3 papers
M-DEW: Extending Dynamic Ensemble Weighting to Handle Missing Values
Adam Catto, Nan Jia, Ansaf Salleb-Aouissi +1
Missing value imputation is a crucial preprocessing step for many machine learning problems. However, it is often considered as a separate subtask from downstream applications such…
Towards Safe Automated Refactoring of Imperative Deep Learning Programs to Graph Execution
Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh +2
Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execut…
Using Kernel Methods and Model Selection for Prediction of Preterm Birth
Ilia Vovsha, Ansaf Salleb-Aouissi, Anita Raja +8
We describe an application of machine learning to the problem of predicting preterm birth. We conduct a secondary analysis on a clinical trial dataset collected by the National In-…