Sebastian Bader | DeepAI

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Featured Co-authors

Kristian Kersting
114 publications
Hoifung Poon
32 publications
Pascal Hitzler
27 publications
Artur d'Avila Garcez
22 publications
Daniel Lowd
18 publications
Thanh Tran
18 publications
Luis C. Lamb
15 publications
Pedro Domingos
15 publications
Stefan Lüdtke
13 publications
Thomas Kirste
9 publications
Howard Bowman
8 publications

∙ 02/28/2023

Towards Measuring Ethicality of an Intelligent Assistive System

Artificial intelligence (AI) based assistive systems, so called intellig...

0 M. Salman Shaukat, et al. ∙

∙ 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 ...

0 Thanh Tran, et al. ∙

∙ 08/08/2022

Denoising Induction Motor Sounds Using an Autoencoder

Denoising is the process of removing noise from sound signals while impr...

5 Thanh Tran, et al. ∙

∙ 07/18/2022

Discovering Behavioral Predispositions in Data to Improve Human Activity Recognition

The automatic, sensor-based assessment of challenging behavior of person...

0 Maximilian Popko, et al. ∙

∙ 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...

0 Timon Felske, et al. ∙

∙ 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...

0 Muhammad Salman Shaukat, et al. ∙

∙ 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...

0 Martin Dyrba, et al. ∙

∙ 04/18/2018

State-Space Abstractions for Probabilistic Inference: A Systematic Review

Tasks such as social network analysis, human behavior recognition, or mo...

0 Stefan Lüdtke, et al. ∙

∙ 01/31/2018

Lifted Filtering via Exchangeable Decomposition

We present a model for recursive Bayesian filtering based on lifted mult...

0 Stefan Lüdtke, et al. ∙

∙ 11/10/2017

Neural-Symbolic Learning and Reasoning: A Survey and Interpretation

The study and understanding of human behaviour is relevant to computer s...

0 Tarek R. Besold, et al. ∙

∙ 07/20/2017

Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems

Bayesian Filtering for plan and activity recognition is challenging for ...

0 Max Schröder, et al. ∙

∙ 11/10/2005

Dimensions of Neural-symbolic Integration - A Structured Survey

Research on integrated neural-symbolic systems has made significant prog...

0 Sebastian Bader, et al. ∙

∙ 08/31/2004

The Integration of Connectionism and First-Order Knowledge Representation and Reasoning as a Challenge for Artificial Intelligence

Intelligent systems based on first-order logic on the one hand, and on a...

0 Sebastian Bader, et al. ∙

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