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of 3 662
pro vyhledávání: '"Engman, A."'
In this paper we present a method for line segment detection in images, based on a semi-supervised framework. Leveraging the use of a consistency loss based on differently augmented and perturbed unlabeled images with a small amount of labeled data,
Externí odkaz:
http://arxiv.org/abs/2411.04596
Sound event localization and detection (SELD) systems using audio recordings from a microphone array rely on spatial cues for determining the location of sound events. As a consequence, the localization performance of such systems is to a large exten
Externí odkaz:
http://arxiv.org/abs/2408.17166
Data quality assessment has become a prominent component in the successful execution of complex data-driven artificial intelligence (AI) software systems. In practice, real-world applications generate huge volumes of data at speeds. These data stream
Externí odkaz:
http://arxiv.org/abs/2303.15068
Today, machine learning (ML) is widely used in industry to provide the core functionality of production systems. However, it is practically always used in production systems as part of a larger end-to-end software system that is made up of several ot
Externí odkaz:
http://arxiv.org/abs/2211.12706
Publikováno v:
The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE22) 2022
Most industrial processes in real-world manufacturing applications are characterized by the scalability property, which requires an automated strategy to self-adapt machine learning (ML) software systems to the new conditions. In this paper, we inves
Externí odkaz:
http://arxiv.org/abs/2208.07037
Publikováno v:
30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022)
There is often a scarcity of training data for machine learning (ML) classification and regression models in industrial production, especially for time-consuming or sparsely run manufacturing processes. A majority of the limited ground-truth data is
Externí odkaz:
http://arxiv.org/abs/2208.04062
Autor:
Brennan J Wadsworth, Marina Leiwe, Eleanor A Minogue, Pedro P Cunha, Viktor Engman, Carolin Brombach, Christos Asvestis, Shiv K Sah-Teli, Emilia Marklund, Peppi Koivunen, Jorge L Ruas, Helene Rundqvist, Johanna T Lanner, Randall S Johnson
Publikováno v:
eLife, Vol 12 (2024)
Several metabolites have been shown to have independent and at times unexpected biological effects outside of their metabolic pathways. These include succinate, lactate, fumarate, and 2-hydroxyglutarate. 2-Hydroxybutyrate (2HB) is a byproduct of endo
Externí odkaz:
https://doaj.org/article/a2344de77b9c433ca84e766bf403fa6d
Autor:
Adombor, Emmanuel1 (AUTHOR) e.adombor@gmail.com, Engman, Gideon Mensah2 (AUTHOR), Alhassan, Abukari3 (AUTHOR)
Publikováno v:
Journal of Social & Economic Statistics. Jul2024, Vol. 13 Issue 1, p13-28. 16p.
Autor:
Gabriela Ulmo‐Diaz, Augustin Engman, William O. McLarney, Carlos A. Lasso Alcalá, Dean Hendrickson, Etienne Bezault, Eric Feunteun, Fernando L. Prats‐Léon, Jean Wiener, Robert Maxwell, Ryan S. Mohammed, Thomas J. Kwak, José Benchetrit, Bérénice Bougas, Charles Babin, Eric Normandeau, Haig H. V. Djambazian, Shu‐Huang Chen, Sarah J. Reiling, Jiannis Ragoussis, Louis Bernatchez
Publikováno v:
Evolutionary Applications, Vol 16, Iss 12, Pp 1872-1888 (2023)
Abstract The American eel (Anguilla rostrata) has long been regarded as a panmictic fish and has been confirmed as such in the northern part of its range. In this paper, we tested for the first time whether panmixia extends to the tropical range of t
Externí odkaz:
https://doaj.org/article/3058df059c524870bce7444f8d28b071
Publikováno v:
In Molecular Aspects of Medicine June 2024 97