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06/20/2023
Guideline for Trustworthy Artificial Intelligence – AI Assessment Catalog
Artificial Intelligence (AI) has made impressive progress in recent year...
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12/02/2022
Robustness in Fatigue Strength Estimation
Fatigue strength estimation is a costly manual material characterization...
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05/23/2022
Informed Pre-Training on Prior Knowledge
When training data is scarce, the incorporation of additional prior know...
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05/10/2022
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
The existence of representative datasets is a prerequisite of many succe...
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06/10/2021
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis
Many machine learning applications can benefit from simulated data for s...
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05/21/2021
Explainable Machine Learning with Prior Knowledge: An Overview
This survey presents an overview of integrating prior knowledge into mac...
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04/22/2021
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities
An important pillar for safe machine learning (ML) is the systematic mit...
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04/19/2021
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation
Data-driven sensor interpretation in autonomous driving can lead to high...
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07/10/2020
Characteristics of Monte Carlo Dropout in Wide Neural Networks
Monte Carlo (MC) dropout is one of the state-of-the-art approaches for u...
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11/13/2018
Team NimbRo at MBZIRC 2017: Fast Landing on a Moving Target and Treasure Hunting with a Team of MAVs
The Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2017 has...
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10/17/2018
Feature-based visual odometry prior for real-time semi-dense stereo SLAM
Robust and fast motion estimation and mapping is a key prerequisite for ...
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09/18/2018
