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Detecting an Offset-Adjusted Similarity Score based on Duchenne Smiles
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
ACM
2023
Interpretable Classifiers based on Time-Series Motifs for Lane Change Prediction
IEEE Transactions on Intelligent Vehicles
2023
1-8
Evaluating Robust Perceptual Losses for Image Reconstruction
I Can't Believe It's Not Better Workshop: Understanding Deep Learning Through Empirical Falsification
NeurIPS 2022 Workshop
2022
Classification and Uncertainty Quantification of Corrupted Data Using Supervised Autoencoders
Physical Sciences Forum
2022
5
1
Encouraging Validatable Features in Machine Learning-based Highly Automated Driving Functions
IEEE Transactions on Intelligent Vehicles
2023
8
2
1837-1851
An Analysis of Distributional Shifts in Automated Driving Functions in Highway Scenarios
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
IEEE
2022
Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios
2021 IEEE International Intelligent Transportation Systems Conference (ITSC)
IEEE
2021
Interpretable Early Prediction of Lane Changes Using a Constrained Neural Network Architecture
2021 IEEE International Intelligent Transportation Systems Conference (ITSC)
IEEE
2021
Learning to Detect Adversarial Examples Based on Class Scores
KI 2021: Advances in Artificial Intelligence
Springer International Publishing
2021
Oliver De Candido; Maximilian Binder; Wolfgang Utschick
An Interpretable Lane Change Detector Algorithm based on Deep Autoencoder Anomaly Detection
The 32nd IEEE Intelligent Vehicles Symposium
2021