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Machine-learning-based diagnostics of EEG pathology

NeuroImage (Orlando, Fla.), 2020-10, Vol.220, p.117021-117021, Article 117021

2020

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Information processing in echo state networks at the edge of chaos

Theory in biosciences = Theorie in den Biowissenschaften, 2012-09, Vol.131 (3), p.205-213

2012

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Personalized prediction of disease activity in patients with rheumatoid arthritis using an adaptive deep neural network

PloS one, 2021-06, Vol.16 (6), p.e0252289-e0252289

2021

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Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDs

PLoS computational biology, 2023-06, Vol.19 (6), p.e1011073-e1011073

2023

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Corrigendum: Optimizing trajectories for highway driving with offline reinforcement learning

Frontiers in future transportation, 2023-12, Vol.4

2023

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Optimizing trajectories for highway driving with offline reinforcement learning

Frontiers in future transportation, 2023-05, Vol.4

2023

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An extended clinical EEG dataset with 15,300 automatically labelled recordings for pathology decoding

NeuroImage clinical, 2023-01, Vol.39, p.103482-103482, Article 103482

2023

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Autonomous Optimization of Targeted Stimulation of Neuronal Networks

PLoS computational biology, 2016-08, Vol.12 (8), p.e1005054-e1005054

2016

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Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression

Frontiers in neurorobotics, 2019-10, Vol.13, p.76-76

2019

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Deep reinforcement learning with successor features for navigation across similar environments

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, p.2371-2378

2017

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Dynamic Input for Deep Reinforcement Learning in Autonomous Driving

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, p.7566-7573

2019

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VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control

IEEE robotics and automation letters, 2019-04, Vol.4 (2), p.1148-1155

2019

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Reaching the ceiling? Empirical scaling behaviour for deep EEG pathology classification

Computers in biology and medicine, 2024-08, Vol.178, p.108681, Article 108681

2024

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Internal world models in humans, animals, and AI

Neuron (Cambridge, Mass.), 2024-07, Vol.112 (14), p.2265-2268

2024

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Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning

IEEE robotics and automation letters, 2023-02, Vol.8 (2), p.624-631

2023

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Brain age revisited: Investigating the state vs. trait hypotheses of EEG-derived brain-age dynamics with deep learning

Imaging neuroscience (Cambridge, Mass.), 2024-07, Vol.2, p.1-22

2024

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Applied machine learning and artificial intelligence in rheumatology

Rheumatology advances in practice, 2020-01, Vol.4 (1), p.rkaa005-rkaa005

2020

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Correct Me If I am Wrong: Interactive Learning for Robotic Manipulation

IEEE robotics and automation letters, 2022-04, Vol.7 (2), p.3695-3702

2022

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Survey on LiDAR Perception in Adverse Weather Conditions

2023 IEEE Intelligent Vehicles Symposium (IV), 2023, p.1-8

2023

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Learning Human-Aware Robot Navigation from Physical Interaction via Inverse Reinforcement Learning

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, p.11025-11031

2020

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Adaptive long-term control of biological neural networks with Deep Reinforcement Learning

Neurocomputing (Amsterdam), 2019-05, Vol.342, p.66-74

2019

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Metronomic doses and drug schematic combination response tested within chambered coverslips for the treatment of breast cancer cells (JIMT-1)

PloS one, 2022-09, Vol.17 (9), p.e0274911-e0274911

2022

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The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation

IEEE robotics and automation letters, 2023-11, Vol.8 (11), p.6931-6938

2023

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Q-learning with Long-term Action-space Shaping to Model Complex Behavior for Autonomous Lane Changes

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, p.5641-5648

2021

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High-level Decision Making for Safe and Reasonable Autonomous Lane Changing using Reinforcement Learning

2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018, p.2156-2162

2018

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Machine-learning-based diagnostics of EEG pathology

Information processing in echo state networks at the edge of chaos

Personalized prediction of disease activity in patients with rheumatoid arthritis using an adaptive deep neural network

Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDs

Corrigendum: Optimizing trajectories for highway driving with offline reinforcement learning

Optimizing trajectories for highway driving with offline reinforcement learning

An extended clinical EEG dataset with 15,300 automatically labelled recordings for pathology decoding

Autonomous Optimization of Targeted Stimulation of Neuronal Networks

Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression

Deep reinforcement learning with successor features for navigation across similar environments

Dynamic Input for Deep Reinforcement Learning in Autonomous Driving

VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control

Reaching the ceiling? Empirical scaling behaviour for deep EEG pathology classification

Internal world models in humans, animals, and AI

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning

Brain age revisited: Investigating the state vs. trait hypotheses of EEG-derived brain-age dynamics with deep learning

Applied machine learning and artificial intelligence in rheumatology

Correct Me If I am Wrong: Interactive Learning for Robotic Manipulation

Survey on LiDAR Perception in Adverse Weather Conditions

Learning Human-Aware Robot Navigation from Physical Interaction via Inverse Reinforcement Learning

Adaptive long-term control of biological neural networks with Deep Reinforcement Learning

Metronomic doses and drug schematic combination response tested within chambered coverslips for the treatment of breast cancer cells (JIMT-1)

The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation

Q-learning with Long-term Action-space Shaping to Model Complex Behavior for Autonomous Lane Changes

High-level Decision Making for Safe and Reasonable Autonomous Lane Changing using Reinforcement Learning

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