Simon Stock

According to our database, Simon Stock authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Bayesian Physics-informed Neural Networks for System Identification of Inverter-dominated Power Systems.

Simon Stock, Davood Babazadeh, Christian Becker, Spyros Chatzivasileiadis

CoRR, 2024

2023

Model-Driven Dementia Prevention and Intervention Platform.

Markus Schinle, Michael Dietrich, Simon Stock, Marius Gerdes, Wilhelm Stork

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Reinforcement Learning based Coordination of Virtual Inertia Provision from Inverter-dominated Distribution Grids.

Simon Stock, Davood Babazadeh, Philipp Hund, Christian Becker

Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

Towards EEG-based objective ADHD diagnosis support using convolutional neural networks.

Simon Stock, Jan Hausberg, Alexandre Armengol-Urpi, Tobias Kaufmann, Markus Schinle, Marius Gerdes, Wilhelm Stork

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2022

Objectivation of Visual Perception.

Simon Stock

PhD thesis, 2022

Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems.

Simon Stock, Jochen Stiasny, Davood Babazadeh, Christian Becker, Spyros Chatzivasileiadis

CoRR, 2022

Application of Physics-based Graph Convolutional Network in Real-time State Estimation of Under-determined Distribution Grids.

Simon Stock, Markus Dressel, Davood Babazadeh, Christian Becker

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022

Development of a self-learning automotive comfort function: an adaptive gesture control with few-shot-learning.

Marco Stang, Simon Stock, Simon Müller, Eric Sax, Wilhelm Stork

Proceedings of the International Conference on Connected Vehicle and Expo, 2022

End-to-End Deep Learning for Stress Recognition Using Remote Photoplethysmography.

Kai Zhou, Markus Schinle, Sascha Weimar, Marius Gerdes, Simon Stock, Wilhelm Stork

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Applications of Artificial Intelligence in Distribution Power System Operation.

Simon Stock, Davood Babazadeh, Christian Becker

IEEE Access, 2021

2020

Bumblebee Re-Identification Dataset.

Frederic Tausch, Simon Stock, Julian Fricke, Olaf Klein

Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2020

FEEDI - A Smart Wearable Foot-Band for Navigation and Guidance Using Haptic Feedback.

Simon Stock, Alain Bertemes, Marco Stang, Martin Böhme, Daniel Grimm, Wilhelm Stork

Proceedings of the Human Interaction, Emerging Technologies and Future Applications II - Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET, 2020

2019

DeepBees - Building and Scaling Convolutional Neuronal Nets For Fast and Large-Scale Visual Monitoring of Bee Hives.

Julian Marstaller, Frederic Tausch, Simon Stock

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Realistic simulation of progressive vision diseases in virtual reality.

Simon Stock, Christina Erler, Wilhelm Stork

Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, 2018