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02/28/2023
Towards Measuring Ethicality of an Intelligent Assistive System
Artificial intelligence (AI) based assistive systems, so called intellig...
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09/23/2022
An artificial neural network-based system for detecting machine failures using tiny sound data: A case study
In an effort to advocate the research for a deep learning-based machine ...
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08/08/2022
Denoising Induction Motor Sounds Using an Autoencoder
Denoising is the process of removing noise from sound signals while impr...
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07/18/2022
Discovering Behavioral Predispositions in Data to Improve Human Activity Recognition
The automatic, sensor-based assessment of challenging behavior of person...
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02/01/2022
Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs
We study sensor-based human activity recognition in manual work processe...
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07/12/2021
SimDem A Multi-agent Simulation Environment to Model Persons with Dementia and their Assistance
Developing artificial intelligence based assistive systems to aid Person...
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12/18/2020
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease
Although convolutional neural networks (CNN) achieve high diagnostic acc...
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04/18/2018
State-Space Abstractions for Probabilistic Inference: A Systematic Review
Tasks such as social network analysis, human behavior recognition, or mo...
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01/31/2018
Lifted Filtering via Exchangeable Decomposition
We present a model for recursive Bayesian filtering based on lifted mult...
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11/10/2017
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
The study and understanding of human behaviour is relevant to computer s...
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07/20/2017
Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems
Bayesian Filtering for plan and activity recognition is challenging for ...
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11/10/2005
Dimensions of Neural-symbolic Integration - A Structured Survey
Research on integrated neural-symbolic systems has made significant prog...
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08/31/2004
