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Zustandsüberwachung mit Regelfahrzeugen
Visualizing Convolutional Neural Networks with Virtual Reality
Visualisierung der internen Prozesse Künstlicher Neuronaler Netze in Virtual Reality
Using ultrasound images of the forearm to predict finger positions
Using Predictive Uncertainty for Cleaning Noisy Annotations
Using Object Affordances to Improve Object Recognition
Unobtrusive, natural support control of an adaptive industrial exoskeleton using force myography
Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry
Ultrasound image features of the wrist are linearly related to finger positions
Tutorial: Natural language processing with Python
Traffic Safety at German Roundabouts—A Replication Study
The Causality for Climate Challenge
Surface EMG for Force Control of Mechanical Hands
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
Speeding Up Optimization-based Motion Planning through Deep Learning
Scaling Our World View: How Monoamines Can Put Context Into Brain Circuitry
Reservoir Computing Based Cryptography and Exploration of the Limits of Multifunctionality in NG-RC
Representation Learning for Robot Keypoint Detection using Prior Kinematic Knowledge
Reinforcement Learning-based Traffic Control: Mitigating the Adverse Impacts of Control Transitions
Refining action segmentation with hierarchical video representations
Recognition and Reproduction of Force-based Robot Skills via Learning from Demonstration
P-satI-D Shape Regulation of Soft Robots
Progressive Bayesian Neural Networks
Preliminary evidence of dynamic muscular synergies in human grasping
Prediction of finger movements using ultrasound images
Prediction of fatigue failure in small-scale butt-welded joints with explainable machine learning
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Open Fusion Platform for Automated Driving Cars Based on Nvidia DPX2
On Policy Learning Robust to Irreversible Events: an Application to Robotic In-Hand Manipulation
Object Detection Based on Deep Learning and Context Information
Nachvollziehbarkeit und Begründbarkeit von Maschinellen Lernverfahren mithilfe von 3D-Visualisierung
Modelling and Simulation of Spacecraft Hardware based on Machine Learning Techniques
Modeling Driver Behavior at Roundabouts: Results from a Field Study.
Mini-Batched Online Incremental Learning Through Supervisory Teleoperation with Kinesthetic Coupling
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Main Entrance Tagging based on Intrinsic and Extrinsic Feature Extracted from OSM
Local anomaly detection in hybrid rocket combustion tests
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
Learning haptic exploration schemes for adaptive task execution
Learning Defects from Aircraft NDT data (Masterarbeit)
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey