Zobrazeno 1 - 10
of 17 820
pro vyhledávání: '"A Haar"'
Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning
Graph Neural Networks (GNN) can capture the geometric properties of neural representations in EEG data. Here we utilise those to study how reinforcement-based motor learning affects neural activity patterns during motor planning, leveraging the inher
Externí odkaz:
http://arxiv.org/abs/2410.23812
A crucial question in analyzing a concurrent system is to determine its long-run behaviour, and in particular, whether there are irreversible choices in its evolution, leading into parts of the reachability space from which there is no return to othe
Externí odkaz:
http://arxiv.org/abs/2409.01079
Although accuracy and other common metrics can provide a useful window into the performance of an object detection model, they lack a deeper view of the model's decision process. Regardless of the quality of the training data and process, the feature
Externí odkaz:
http://arxiv.org/abs/2401.10790
Autor:
Delattre, Victor, Cambronero, Sophie, Chen, Yao, Ter Haar, Gail, Rivens, Ian, Polton, Gerry, Lafon, Cyril, Melodelima, David
Publikováno v:
Ultrasonics, 2024, 138, pp.107239
A toroidal high-intensity focused ultrasound (HIFU) transducer was used to expose normal bladder wall tissues non-invasively in vivo in a porcine model in order to investigate the potential to treat bladder tumors. The transducer was divided into 32
Externí odkaz:
http://arxiv.org/abs/2401.10576
Publikováno v:
Fundamenta Informaticae, Volume 192, Issues 3-4: Petri Nets 2023 (November 10, 2024) fi:12578
Unfoldings are a well known partial-order semantics of P/T Petri nets that can be applied to various model checking or verification problems. For high-level Petri nets, the so-called symbolic unfolding generalizes this notion. A complete finite prefi
Externí odkaz:
http://arxiv.org/abs/2311.11443
Autor:
ter Haar, Beryl, author
Publikováno v:
Labour Law Utopias : Post-Growth & Post-Productive Work Approaches, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780198889755.003.0003
Publikováno v:
Labour Law Utopias : Post-Growth & Post-Productive Work Approaches, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780198889755.003.0001
Autor:
Haar, Jarrod, Kelly, Stephen James
Publikováno v:
International Journal of Manpower, 2024, Vol. 45, Issue 9, pp. 1772-1796.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJM-10-2023-0633
Autor:
Miriam Rabenow, Eduard Haar, Katharina Schmidt, Robert Hänsch, Ralf R. Mendel, Kevin D. Oliphant
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract In all domains of life, the biosynthesis of the pterin-based Molybdenum cofactor (Moco) is crucial. Molybdenum (Mo) becomes biologically active by integrating into a unique pyranopterin scaffold, forming Moco. The final two steps of Moco bio
Externí odkaz:
https://doaj.org/article/701bceec99d346f5bd0dd2bd5a7bd08f
Publikováno v:
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 32, Iss 1, Pp 1-9 (2024)
Abstract Aim of the study Artificial intelligence (AI) chatbots are established as tools for answering medical questions worldwide. Healthcare trainees are increasingly using this cutting-edge technology, although its reliability and accuracy in the
Externí odkaz:
https://doaj.org/article/21b28b724a11411e834bf1429d97adc2