14 citations · 17 across the 5 of their papers we have counts for
5 papers
Segmentation-guided Domain Adaptation for Efficient Depth Completion
Fabian Märkert, Martin Sunkel, Anselm Haselhoff +1
Complete depth information and efficient estimators have become vital ingredients in scene understanding for automated driving tasks. A major problem for LiDAR-based depth completi…
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Julian Wörmann, Daniel Bogdoll, Christian Brunner +49
The availability of representative datasets is an essential prerequisite for many successful artificial intelligence and machine learning models. However, in real life applications…
On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes
Stefan Rudolph, Sven Tomforde, Jörg Hähner
Self-adaptation has been proposed as a mechanism to counter complexity in control problems of technical systems. A major driver behind self-adaptation is the idea to transfer tradi…
Modeling Risk Perception in Networks with Community Structure
Franco Bagnoli, Daniel Borkmann, Andrea Guazzini +2
We study the influence of global, local and community-level risk perception on the extinction probability of a disease in several models of social networks. In particular, we study…
A cognitive-inspired model for self-organizing networks
Daniel Borkmann, Andrea Guazzini, Emanuele Massaro +1
In this work we propose a computational scheme inspired by the workings of human cognition. We embed some fundamental aspects of the human cognitive system into this scheme in orde…