6 citations · 8 across the 4 of their papers we have counts for
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eess.SP2021
Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure
Ayse S. Cakmak, Samuel Densen, Gabriel Najarro +5
Objective: Worldwide, heart failure (HF) is a major cause of morbidity and mortality and one of the leading causes of hospitalization. Early detection of HF symptoms and pro-active…
eess.SP2018★ 6 cited
Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates
Justus T. C. Schwabedal, John C. Snyder, Ayse Cakmak +2
Randomizing the Fourier-transform (FT) phases of temporal-spatial data generates surrogates that approximate examples from the data-generating distribution. We propose such FT surr…