activity
20142025
most citedGeneralizable machine learning for stress monitoring from wearable devices: A systematic literature review

161 citations · 343 across the 17 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

hep-th2025

Coarse-graining in time, emergent temperature in 2d CFT at large central charge

Gideon Vos

Using the monodromy method, a compact expression is obtained for the identity block contribution to the expectation value of two low-energy probe operators on a broad class of time…

cs.CL2025

Decoding Neural Emotion Patterns through Large Language Model Embeddings

Gideon Vos, Maryam Ebrahimpour, Liza van Eijk +2

Understanding how emotional expression in language relates to brain function is a challenge in computational neuroscience and affective computing. Traditional neuroimaging is costl…

cs.LG2025

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…

eess.SP2025

A Statistical Approach for Synthetic EEG Data Generation

Gideon Vos, Maryam Ebrahimpour, Liza van Eijk +2

Electroencephalogram (EEG) data is crucial for diagnosing mental health conditions but is costly and time-consuming to collect at scale. Synthetic data generation offers a promisin…

hep-th2025★ 1 cited

Signatures of Bulk Black Hole Merger from Semi-classical 2d CFT

Souvik Banerjee, Gideon Vos

We study the real-time bulk AdS two-into-two scattering amplitude of conical defects. This is done through means of a previously developed method of systematic approximation of…