121 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Continental (Germany)DE2 papers
- Martin Luther University Halle-WittenbergDE2 papers
- University of California, BerkeleyUS2 papers
- University of TwenteNL2 papers
- Art Institute of SeattleUS1 paper
- California College of the ArtsUS1 paper
- Chemnitz University of TechnologyDE1 paper
- Hochschule BielefeldDE1 paper
- Karlsruhe Institute of TechnologyDE1 paper
- Klinik und Poliklinik für Hals-, Nasen-, OhrenheilkundeDE1 paper
- Lancaster UniversityGB1 paper
- Lohmann (Germany)DE1 paper
13 papers
Smart, simple, sincere - Why and how we should rethink connected things in our smart homes
Albrecht Kurze, Andreas Bischof, Arne Berger
More and more smart connected things and services turn our homes into smart environments. They promise comfort, efficiency and security. These devices often integrate simple sensor…
A solution of the quantum time of arrival problem via mathematical probability theory
Maik Reddiger
Time of arrival refers to the time a particle takes after emission to impinge upon a suitably idealized detector surface. Within quantum theory, no generally accepted solution exis…
Development and evaluation of a deep learning algorithm for German word recognition from lip movements
Dinh Nam Pham, Torsten Rahne
When reading lips, many people benefit from additional visual information from the lip movements of the speaker, which is, however, very error prone. Algorithms for lip reading wit…
On the applicability of Kolmogorov's theory of probability to the description of quantum phenomena. Part I: foundations
Maik Reddiger
By formulating the axioms of quantum mechanics, von Neumann also laid the foundations of a "quantum probability theory". As such, it is regarded a generalization of the "classical…
Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature Spaces
Georgii Mikriukov, Gesina Schwalbe, Korinna Bade
Insights into the learned latent representations are imperative for verifying deep neural networks (DNNs) in critical computer vision (CV) tasks. Therefore, state-of-the-art superv…
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability
Georgii Mikriukov, Gesina Schwalbe, Christian Hellert +1
Analysis of how semantic concepts are represented within Convolutional Neural Networks (CNNs) is a widely used approach in Explainable Artificial Intelligence (XAI) for interpretin…
The Entoptic Field Camera as Metaphor-Driven Research-through-Design with AI Technologies
Jesse Josua Benjamin, Heidi Biggs, Arne Berger +5
Artificial intelligence (AI) technologies are widely deployed in smartphone photography; and prompt-based image synthesis models have rapidly become commonplace. In this paper, we…
A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling
Felix Grumbach, Nour Eldin Alaa Badr, Pascal Reusch +1
The following interdisciplinary article presents a memetic algorithm with applying deep reinforcement learning (DRL) for solving practically oriented dual resource constrained flex…
The effect of saturated thermal conduction on clouds in a hot plasma
Bastian Sander, Gerhard Hensler
We numerically investigate the internal evolution of multiphase clouds, which are at rest with respect to an ambient, highly ionized medium (HIM) representing the hot component of…
Intense sulphurization process can lead to superior heterojunction properties in Cu(In,Ga)(S,Se) thin-film solar cells
Oana Cojocaru-Miredin, Elaheh Ghorbani, Mohit Raghuwanshi +7
Sulphurization processes in Cu(In,Ga)Se thin-film solar cells has been intensively studied in the last decade as a viable alternative to the existing Ga-grading. The main advan…
Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry
Jesse Josua Benjamin, Arne Berger, Nick Merrill +1
Design research is important for understanding and interrogating how emerging technologies shape human experience. However, design research with Machine Learning (ML) is relatively…
Towards a Probabilistic Foundation of Relativistic Quantum Theory: The One-Body Born Rule in Curved Spacetime
Maik Reddiger, Bill Poirier
In this work we establish a novel approach to the foundations of relativistic quantum theory, which is based on generalizing the quantum-mechanical Born rule for determining partic…
A mathematical framework for predicting lifestyles of viral pathogens
Alexander Lange
Despite being similar in structure, functioning, and size viral pathogens enjoy very different mostly well-defined ways of life. They occupy their hosts for a few days (influenza),…