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

collaborators

18 papers

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…

cs.LG2024

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…

eess.SP2024

The Effect of Acute Stress on the Interpretability and Generalization of Schizophrenia Predictive Machine Learning Models

Gideon Vos, Maryam Ebrahimpour, Liza van Eijk +2

Introduction Schizophrenia is a severe mental disorder, and early diagnosis is key to improving outcomes. Its complexity makes predicting onset and progression challenging. EEG has…

cs.HC2024★ 1 cited

Stress Monitoring Using Low-Cost Electroencephalogram Devices: A Systematic Literature Review

Gideon Vos, Maryam Ebrahimpour, Liza van Eijk +2

Introduction. Low-cost health monitoring devices are increasingly being used for mental health related studies including stress. While cortisol response magnitude remains the gold…

hep-th2024

Behind-the-horizon excitations from a single 2d CFT

Souvik Banerjee, Gideon Vos

In this work, we consider the atypical non-equilibrium state found in [1708.06328] which holographically represents a behind-the-horizon excitation in a blackhole spacetime. The sp…

hep-th2022★ 3 cited

Holography for bulk states in 3D quantum gravity

Joris Raeymaekers, Gideon Vos

In this work we discuss the holographic description of states in the Hilbert space of (2+1)-dimensional quantum gravity, living on a time slice in the bulk. We focus on pure gravit…

cs.LG2022★ 59 cited

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…

cs.AI2022★ 161 cited

Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review

Gideon Vos, Kelly Trinh, Zoltan Sarnyai +1

Introduction. The stress response has both subjective, psychological and objectively measurable, biological components. Both of them can be expressed differently from person to per…

hep-th2021★ 1 cited

Conformal Blocks and Bilocal Vertex Operator Transition Amplitudes

Gideon Vos

We revisit the construction of the 2d conformal blocks of primary operator four-point functions as bilocal vertex operator correlators. We find an additional interpretation as a pa…

hep-th2020★ 2 cited

The Large- Virasoro Identity Block is a Semi-Classical Liouville Correlator

Gideon Vos

It will be shown analytically that the light sector of the identity block of a mixed heavy-light correlator in the large central charge limit is given by a correlation function of…

hep-th2018★ 7 cited

Vacuum block thermalization in semi-classical 2d CFT

Gideon Vos

The universal nature of black hole collapse in asymptotically gravitational theories suggests that its holographic dual process, thermalization, should similarly be fixed b…

hep-th2018★ 9 cited

On the universality of late-time correlators in semi-classical 2d CFTs

Souvik Banerjee, Jan-Willem Brijan, Gideon Vos

In the framework of AdS/ CFT correspondence, we present a systematic analysis of the late time thermalization of a two dimensional CFT state created by insertion of small n…

hep-th2016★ 54 cited

Large-N correlation functions in superconformal QCD

Marco Baggio, Vasilis Niarchos, Kyriakos Papadodimas +1

We study extremal correlation functions of chiral primary operators in the large-N SU(N) superconformal QCD theory and present new results based on supersymmetric lo…

hep-th2014★ 45 cited

Generalized Additivity in Unitary Conformal Field Theories

Gideon Vos

It was demonstrated in recent work that unitary CFT's satisfy a special property: if a scalar operator with conformal dimension exists in the operator spectrum, then the…