research
∙
01/22/2023
Explainable Quantum Machine Learning
Methods of artificial intelligence (AI) and especially machine learning ...
share
research
∙
01/19/2023
Shapley Values with Uncertain Value Functions
We propose a novel definition of Shapley values with uncertain value fun...
research
∙
09/05/2022
Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning
The concept of Label Distribution Learning (LDL) is a technique to stabi...
research
∙
06/01/2022
On Quantum Circuits for Discrete Graphical Models
Graphical models are useful tools for describing structured high-dimensi...
research
∙
05/23/2022
Informed Pre-Training on Prior Knowledge
When training data is scarce, the incorporation of additional prior know...
research
∙
04/23/2022
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning
Given is a set of images, where all images show views of the same area a...
research
∙
03/24/2022
Quantum Feature Selection
In machine learning, fewer features reduce model complexity. Carefully a...
research
∙
03/15/2022
QUBOs for Sorting Lists and Building Trees
We show that the fundamental tasks of sorting lists and building search ...
research
∙
12/20/2021
Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention
In order to avoid disadvantages of monocropping for soil and environment...
research
∙
12/08/2021
Estimating Divergences in High Dimensions
The problem of estimating the divergence between 2 high dimensional dist...
research
∙
08/30/2021
On the effects of biased quantum random numbers on the initialization of artificial neural networks
Recent advances in practical quantum computing have led to a variety of ...
research
∙
06/01/2021
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning
Machine learning applications have become ubiquitous. This has led to an...
research
∙
05/21/2021
Yes We Care! – Certification for Machine Learning Methods through the Care Label Framework
Machine learning applications have become ubiquitous. Their applications...
research
∙
04/15/2021
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving
Artificial intelligence for autonomous driving must meet strict requirem...
research
∙
09/25/2020
Resource-Constrained On-Device Learning by Dynamic Averaging
The communication between data-generating devices is partially responsib...
research
∙
01/28/2020
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations
Exploiting big data knowledge on small devices will pave the way for bui...
research
∙
07/01/2019
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization
Boolean matrix factorization (BMF) is a popular and powerful technique f...
research
∙
06/17/2019
The PRIMPing Routine -- Tiling through Proximal Alternating Linearized Minimization
Mining and exploring databases should provide users with knowledge and n...
research
∙
04/23/2019
Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction
The exploitation of vehicles as mobile sensors acts as a catalyst for no...
research
∙
07/02/2018
Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting
Upcoming Intelligent Transportation Systems (ITSs) will transform roads ...
research
∙
06/18/2018
