Zobrazeno 1 - 10
of 1 833
pro vyhledávání: '"A. Klaes"'
Autor:
Ali, Omair, Saif-ur-Rehman, Muhammad, Metzler, Marita, Glasmachers, Tobias, Iossifidis, Ioannis, Klaes, Christian
Generating continuous electroencephalography (EEG) signals through advanced artificial neural networks presents a novel opportunity to enhance brain-computer interface (BCI) technology. This capability has the potential to significantly enhance appli
Externí odkaz:
http://arxiv.org/abs/2406.03115
Autor:
Vurpillot, François, Hatzoglou, Constantinos, Klaes, Benjamin, Rousseau, Loic, Maillet, Jean-Baptiste, Blum, Ivan, Gault, Baptiste, Cerezo, Alfred
Atom probe tomography data is composed of a list of coordinates of the reconstructed atoms in the probed volume. The elemental identity of each atom is derived from time-of-flight mass spectrometry, with no local energetic or chemical information rea
Externí odkaz:
http://arxiv.org/abs/2404.02557
Autor:
Jöckel, Lisa, Kläs, Michael, Groß, Janek, Gerber, Pascal, Scholz, Markus, Eberle, Jonathan, Teschner, Marc, Seifert, Daniel, Hawkins, Richard, Molloy, John, Ottnad, Jens
Assurance Cases (ACs) are an established approach in safety engineering to argue quality claims in a structured way. In the context of quality assurance for Machine Learning (ML)-based software components, ACs are also being discussed and appear prom
Externí odkaz:
http://arxiv.org/abs/2312.04917
When systems use data-based models that are based on machine learning (ML), errors in their results cannot be ruled out. This is particularly critical if it remains unclear to the user how these models arrived at their decisions and if errors can hav
Externí odkaz:
http://arxiv.org/abs/2311.05245
Generating context specific data quality deficits is necessary to experimentally assess data quality of data-driven (artificial intelligence (AI) or machine learning (ML)) applications. In this paper we present badgers, an extensible open-source Pyth
Externí odkaz:
http://arxiv.org/abs/2307.04468
As the use of Artificial Intelligence (AI) components in cyber-physical systems is becoming more common, the need for reliable system architectures arises. While data-driven models excel at perception tasks, model outcomes are usually not dependable
Externí odkaz:
http://arxiv.org/abs/2305.14872
Objective. Research on brain-computer interfaces (BCIs) is advancing towards rehabilitating severely disabled patients in the real world. Two key factors for successful decoding of user intentions are the size of implanted microelectrode arrays and a
Externí odkaz:
http://arxiv.org/abs/2304.01355
Autor:
Adler, Rasmus, Klaes, Michael
The European Machinery Directive and related harmonized standards do consider that software is used to generate safety-relevant behavior of the machinery but do not consider all kinds of software. In particular, software based on machine learning (ML
Externí odkaz:
http://arxiv.org/abs/2208.08198
Autor:
Artur Pilacinski, Lukas Christ, Marius Boshoff, Ioannis Iossifidis, Patrick Adler, Michael Miro, Bernd Kuhlenkötter, Christian Klaes
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
Human activity recognition (HAR) and brain-machine interface (BMI) are two emerging technologies that can enhance human-robot collaboration (HRC) in domains such as industry or healthcare. HAR uses sensors or cameras to capture and analyze the moveme
Externí odkaz:
https://doaj.org/article/9322ebaca1d844cc8c17a91d8de4113d
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
Error-related potentials (ErrPs) are brain signals known to be generated as a reaction to erroneous events. Several works have shown that not only self-made errors but also mistakes generated by external agents can elicit such event-related potential
Externí odkaz:
https://doaj.org/article/5c5fa94a029844a1ac73ca0851b7331a