241 citations · 333 across the 8 of their papers we have counts for
9 papers
Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs
Timon Felske, Stefan Lüdtke, Sebastian Bader +1
We study sensor-based human activity recognition in manual work processes like assembly tasks. In such processes, the system states often have a rich structure, involving object pr…
SimDem A Multi-agent Simulation Environment to Model Persons with Dementia and their Assistance
Muhammad Salman Shaukat, Bjarne Christian Hiller, Sebastian Bader +1
Developing artificial intelligence based assistive systems to aid Persons with Dementia (PwD) requires large amounts of training data. However, data collection poses ethical, legal…
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease
Martin Dyrba, Moritz Hanzig, Slawek Altenstein +37
Background: Although convolutional neural networks (CNN) achieve high diagnostic accuracy for detecting Alzheimer's disease (AD) dementia based on magnetic resonance imaging (MRI)…
State-Space Abstractions for Probabilistic Inference: A Systematic Review
Stefan Lüdtke, Max Schröder, Frank Krüger +2
Tasks such as social network analysis, human behavior recognition, or modeling biochemical reactions, can be solved elegantly by using the probabilistic inference framework. Howeve…
Lifted Filtering via Exchangeable Decomposition
Stefan Lüdtke, Max Schröder, Sebastian Bader +2
We present a model for exact recursive Bayesian filtering based on lifted multiset states. Combining multisets with lifting makes it possible to simultaneously exploit multiple str…
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
Tarek R. Besold, Artur d'Avila Garcez, Sebastian Bader +11
The study and understanding of human behaviour is relevant to computer science, artificial intelligence, neural computation, cognitive science, philosophy, psychology, and several…
Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems
Max Schröder, Stefan Lüdtke, Sebastian Bader +2
Bayesian Filtering for plan and activity recognition is challenging for scenarios that contain many observation equivalent entities (i.e. entities that produce the same observation…
Dimensions of Neural-symbolic Integration - A Structured Survey
Sebastian Bader, Pascal Hitzler
Research on integrated neural-symbolic systems has made significant progress in the recent past. In particular the understanding of ways to deal with symbolic knowledge within conn…
The Integration of Connectionism and First-Order Knowledge Representation and Reasoning as a Challenge for Artificial Intelligence
Sebastian Bader, Pascal Hitzler, Steffen Hoelldobler
Intelligent systems based on first-order logic on the one hand, and on artificial neural networks (also called connectionist systems) on the other, differ substantially. It would b…