37 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Darmstadt University of Applied SciencesDE4 papers
- Norwegian University of Science and TechnologyNO2 papers
- Simulation Technologies (United States)US2 papers
- University of StuttgartDE2 papers
- University of WürzburgDE2 papers
- AO FoundationCH1 paper
- Aschaffenburg University of Applied SciencesDE1 paper
- BundeskriminalamtDE1 paper
- EURECOMFR1 paper
- University of BolognaIT1 paper
- University of TwenteNL1 paper
- X-Fab (Germany)DE1 paper
12 papers
Towards Automated EEG-Based Epilepsy Detection Using Deep Convolutional Autoencoders
Annika Stiehl, Nicolas Weeger, Christian Uhl +3
Epilepsy is one of the most common neurological disorders. This disease requires reliable and efficient seizure detection methods. Electroencephalography (EEG) is the gold standard…
Towards practicable Machine Learning development using AI Engineering Blueprints
Nicolas Weeger, Annika Stiehl, Jóakim vom Kistowski +2
The implementation of artificial intelligence (AI) in business applications holds considerable promise for significant improvements. The development of AI systems is becoming incre…
Modelling Material Injection Into Porous Structures Under Non-isothermal Conditions
Jan-Sören L. Völter, Zubin Trivedi, Andreas Boger +2
In this work, the Theory of Porous Media (TPM) is employed to model percutaneous vertebroplasty, a medical procedure in which acrylic cement is injected into cancellous vertebral b…
Rheological Analysis and Evaluation of Measurement Techniques for the Curing Polymethylmethacrylate Bone Cement in Vertebroplasty
Zubin Trivedi, Jacek K. Wychowaniec, Dominic Gehweiler +6
Vertebroplasty is a minimally invasive surgical procedure used to treat vertebral fractures, which conventionally involves injecting polymethylmethacrylate (PMMA) bone cement into…
Differential Anomaly Detection for Facial Images
Mathias Ibsen, Lázaro J. González-Soler, Christian Rathgeb +3
Due to their convenience and high accuracy, face recognition systems are widely employed in governmental and personal security applications to automatically recognise individuals.…
Texture-based Presentation Attack Detection for Automatic Speaker Verification
Lazaro J. Gonzalez-Soler, Jose Patino, Marta Gomez-Barrero +3
Biometric systems are nowadays employed across a broad range of applications. They provide high security and efficiency and, in many cases, are user friendly. Despite these and oth…
Anomaly Detection with Convolutional Autoencoders for Fingerprint Presentation Attack Detection
Jascha Kolberg, Marcel Grimmer, Marta Gomez-Barrero +1
In recent years, the popularity of fingerprint-based biometric authentication systems significantly increased. However, together with many advantages, biometric systems are still v…
Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking
Kiran Raja, Matteo Ferrara, Annalisa Franco +18
Morphing attacks have posed a severe threat to Face Recognition System (FRS). Despite the number of advancements reported in recent works, we note serious open issues such as indep…
Dynamical Component Analysis (DyCA) and its application on epileptic EEG
Katharina Korn, Bastian Seifert, Christian Uhl
Dynamical Component Analysis (DyCA) is a recently-proposed method to detect projection vectors to reduce the dimensionality of multi-variate deterministic datasets. It is based on…
FFT and orthogonal discrete transform on weight lattices of semi-simple Lie groups
Bastian Seifert
We give two algebro-geometric inspired approaches to fast algorithms for Fourier transforms in algebraic signal processing theory based on polynomial algebras in several variables.…
Fast cosine transform for FCC lattices
Bastian Seifert, Knut Hüper, Christian Uhl
Voxel representation and processing is an important issue in a broad spectrum of applications. E.g., 3D imaging in biomedical engineering applications, video game development and v…
Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series
Bastian Seifert, Katharina Korn, Steffen Hartmann +1
Multivariate signal processing is often based on dimensionality reduction techniques. We propose a new method, Dynamical Component Analysis (DyCA), leading to a classification of t…