Zobrazeno 1 - 10
of 1 546
pro vyhledávání: '"Roik, A."'
To obtain reliable results of expertise, which usually use individual and group expert pairwise comparisons, it is important to summarize (aggregate) expert estimates provided that they are sufficiently consistent. There are several ways to determine
Externí odkaz:
http://arxiv.org/abs/2410.03012
Autor:
Trávníček, Vojtěch, Roik, Jan, Bartkiewicz, Karol, Černoch, Antonín, Horodecki, Paweł, Lemr, Karel
In this paper, we present a supervised learning technique that utilizes artificial neural networks to design new collective entanglement witnesses for two-qubit and qubit-qutrit systems. Machine-designed collective entanglement witnesses allow for co
Externí odkaz:
http://arxiv.org/abs/2307.08293
Autor:
Roik, Nadiia V., Belyakova, Lyudmila O., Ischenko, Mykola V., Švec, Peter, Roik, Oleksandr S.
Publikováno v:
In Microporous and Mesoporous Materials August 2024 376
Autor:
Andrzej Łabyk, Marcin Krakowian, Łukasz Mysiorski, Barbara Lichodziejewska, Olga Dzikowska-Diduch, Aisha Ou-Pokrzewińska, Dariusz Zieliński, Marek Gołębiowski, Piotr Pruszczyk, Marek Roik
Publikováno v:
Advances in Interventional Cardiology, Vol 20, Iss 1, Pp 84-88 (2024)
Externí odkaz:
https://doaj.org/article/a128a2eb3c3240198bf267b75ce21836
In this paper, we investigate how to reduce the number of measurement configurations needed for sufficiently precise entanglement quantification. Instead of analytical formulae, we employ artificial neural networks to predict the amount of entangleme
Externí odkaz:
http://arxiv.org/abs/2203.01607
Autor:
Roik, Anna, Wall, Marlene, Dobelmann, Melina, Nietzer, Samuel, Brefeld, David, Fiesinger, Anna, Reverter, Miriam, Schupp, Peter J., Jackson, Matthew, Rutsch, Marie, Strahl, Julia
Publikováno v:
In Science of the Total Environment 1 November 2024 949
Autor:
Yakovenko, Olexiy, Sokolskii, Volodymyr, Švec, Peter, Janotová, Irena, Švec Sr., Peter, Kulik, Tadeusz, Cieslak, Grzegorz, Roik, Oleksandr
Publikováno v:
In Journal of Alloys and Compounds 15 October 2024 1002
Publikováno v:
Sci. Rep. 13, 12893 (2023)
We introduce a new approach towards generative quantum machine learning significantly reducing the number of hyperparameters and report on a proof-of-principle experiment demonstrating our approach. Our proposal depends on collaboration between the g
Externí odkaz:
http://arxiv.org/abs/2112.13255
Autor:
Marijn Muurling, Casper de Boer, Chris Hinds, Alankar Atreya, Aiden Doherty, Vasilis Alepopoulos, Jelena Curcic, Anna-Katharine Brem, Pauline Conde, Sajini Kuruppu, Xavier Morató, Valentina Saletti, Samantha Galluzzi, Estefania Vilarino Luis, Sandra Cardoso, Tina Stukelj, Milica Gregorič Kramberger, Dora Roik, Ivan Koychev, Ann-Cecilie Hopøy, Emilia Schwertner, Mara Gkioka, Dag Aarsland, Pieter Jelle Visser
Publikováno v:
Digital Health, Vol 10 (2024)
Introduction Remote monitoring technologies (RMTs) can measure cognitive and functional decline objectively at-home, and offer opportunities to measure passively and continuously, possibly improving sensitivity and reducing participant burden in clin
Externí odkaz:
https://doaj.org/article/8f9d109ddcd94a5bb7f99894759bc08c
Autor:
Garcias-Bonet, Neus, Roik, Anna, Tierney, Braden, García, Francisca C., Villela, Helena D.M., Dungan, Ashley M., Quigley, Kate M., Sweet, Michael, Berg, Gabriele, Gram, Lone, Bourne, David G., Ushijima, Blake, Sogin, Maggie, Hoj, Lone, Duarte, Gustavo, Hirt, Heribert, Smalla, Kornelia, Rosado, Alexandre S., Carvalho, Susana, Thurber, Rebecca Vega, Ziegler, Maren, Mason, Christopher E., van Oppen, Madeleine J.H., Voolstra, Christian R., Peixoto, Raquel S.
Publikováno v:
In Trends in Microbiology March 2024 32(3):252-269