161 citations · 343 across the 17 of their papers we have counts for
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Synaptic Pruning: A Biological Inspiration for Deep Learning Regularization
Gideon Vos, Liza van Eijk, Zoltan Sarnyai +1
Synaptic pruning in biological brains removes weak connections to improve efficiency. In contrast, dropout regularization in artificial neural networks randomly deactivates neurons…
Stabilizing Machine Learning for Reproducible and Explainable Results: A Novel Validation Approach to Subject-Specific Insights
Gideon Vos, Liza van Eijk, Zoltan Sarnyai +1
Machine Learning is transforming medical research by improving diagnostic accuracy and personalizing treatments. General ML models trained on large datasets identify broad patterns…
Ensemble Machine Learning Model Trained on a New Synthesized Dataset Generalizes Well for Stress Prediction Using Wearable Devices
Gideon Vos, Kelly Trinh, Zoltan Sarnyai +1
Introduction. We investigate the generalization ability of models built on datasets containing a small number of subjects, recorded in single study protocols. Next, we propose and…