Hyper-parameter optimization of deep learning model for prediction of Parkinson’s disease

Review on Methods to Fix Number of Hidden Neurons in Neural Networks

K. Gnana Sheela · Mathematical Problems in Engineering · 2013 · 946 citations · Full text

Computing, Computer Science, Artificial Intelligence +14

Stock prediction using deep learning

Ritika Singh, Shashi Srivastava · Multimedia Tools and Applications · 2016 · 341 citations

Computing, Computer Science, Finance +14

Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data

Alexios Koutsoukas, Keith J. Monaghan, Xiaoli Li et al. · Journal of Cheminformatics · 2017 · 319 citations · Full text

Computing, Computer Science, Toxicology +17

Variability in fundamental frequency during speech in prodromal and incipient Parkinson's disease: A longitudinal case study

Brian Harel, Michael S. Cannizzaro, Peter J. Snyder · Brain and Cognition · 2004 · 289 citations

Medicine, Neurology, Speech-language Pathology +14

Functional Analysis of Spontaneous Cell Movement under Different Physiological Conditions

Hiroaki Takagi, Masayuki Sato, Toshio Yanagida et al. · PLoS ONE · 2008 · 185 citations · Full text

Life Sciences, Cell Biology, Physiology +16