48 citations · 62 across the 12 of their papers we have counts for
13 papers
Towards representation agnostic probabilistic programming
Ole Fenske, Maximilian Popko, Sebastian Bader +1
Current probabilistic programming languages and tools tightly couple model representations with specific inference algorithms, preventing experimentation with novel representations…
Towards Training-Free Underwater 3D Object Detection from Sonar Point Clouds: A Comparison of Traditional and Deep Learning Approaches
M. Salman Shaukat, Yannik Käckenmeister, Sebastian Bader +1
Underwater 3D object detection remains one of the most challenging frontiers in computer vision, where traditional approaches struggle with the harsh acoustic environment and scarc…
Neuro-Symbolic Artificial Intelligence for Patient Monitoring
Ole Fenske, Sebastian Bader, Thomas Kirste
In this paper we argue that Neuro-Symbolic AI (NeSy-AI) should be applied for patient monitoring. In this context, we introduce patient monitoring as a special case of Human Activi…
AI-Assisted Ethics? Considerations of AI Simulation for the Ethical Assessment and Design of Assistive Technologies
Silke Schicktanz, Johannes Welsch, Mark Schweda +3
Current ethical debates on the use of artificial intelligence (AI) in health care treat AI as a product of technology in three ways: First, by assessing risks and potential benefit…
Towards Measuring Ethicality of an Intelligent Assistive System
M. Salman Shaukat, J. -C. Põder, Sebastian Bader +1
Artificial intelligence (AI) based assistive systems, so called intelligent assistive technology (IAT) are becoming increasingly ubiquitous by each day. IAT helps people in improvi…
Discovering Behavioral Predispositions in Data to Improve Human Activity Recognition
Maximilian Popko, Sebastian Bader, Stefan Lüdtke +1
The automatic, sensor-based assessment of challenging behavior of persons with dementia is an important task to support the selection of interventions. However, predicting behavior…
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…
Human Activity Recognition using Attribute-Based Neural Networks and Context Information
Stefan Lüdtke, Fernando Moya Rueda, Waqas Ahmed +2
We consider human activity recognition (HAR) from wearable sensor data in manual-work processes, like warehouse order-picking. Such structured domains can often be partitioned into…
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…
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…
Gaussian graphical models reveal inter-modal and inter-regional conditional dependencies of brain alterations in Alzheimer's disease
Martin Dyrba, Reza Mohammadi, Michel J. Grothe +2
Alzheimer's disease (AD) is characterized by a sequence of pathological changes, which are commonly assessed in vivo using MRI and PET. Currently, the most approaches to analyze st…
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…
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…