Zobrazeno 1 - 10
of 949
pro vyhledávání: '"P. Lisy"'
Autor:
Bosansky, Branislav, Hospodkova, Lada, Najman, Michal, Rigaki, Maria, Babayeva, Elnaz, Lisy, Viliam
The accuracy of deployed malware-detection classifiers degrades over time due to changes in data distributions and increasing discrepancies between training and testing data. This phenomenon is known as the concept drift. While the concept drift can
Externí odkaz:
http://arxiv.org/abs/2404.09352
Search in test time is often used to improve the performance of reinforcement learning algorithms. Performing theoretically sound search in fully adversarial two-player games with imperfect information is notoriously difficult and requires a complica
Externí odkaz:
http://arxiv.org/abs/2312.15220
Autor:
Lisy, Vladimir, Tothova, Jana
Recently, Lad, Patel, and Pratap (LP&P) [Phys. Rev. E 105, 064107 (2022)] revisited a microscopic theory of molecular motion in liquids, proposed by Glass and Rice [Phys. Rev. 176, 239 (1968)]. Coming from this theory, LP&P derived a new equation of
Externí odkaz:
http://arxiv.org/abs/2310.18746
Autor:
Caitlin Hemlock, Emanuela Galasso, Ann M. Weber, Tsirery Christian Randriamiarisoa, Mathilde Col, Maria Dieci, Lisy Ratsifandrihamanana, Lia C.H. Fernald
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Introduction In low-resource settings, introducing child health programs into community services may compete for caregiver time. We analyzed the impact of a new early childhood development (ECD) program in rural Madagascar on family attendan
Externí odkaz:
https://doaj.org/article/cbca8b07afe9447b9bc92f661e5d6237
Current frameworks for training offensive penetration testing agents with deep reinforcement learning struggle to produce agents that perform well in real-world scenarios, due to the reality gap in simulation-based frameworks and the lack of scalabil
Externí odkaz:
http://arxiv.org/abs/2305.17246
Autor:
Daniel Schartmüller, Marcus Lisy, Nikolaus Mahnert, Markus Schranz, Victor Danzinger, Luca Schwarzenbacher, Stefan Pieh, Claudette Abela-Formanek, Christina Leydolt, Rupert Menapace
Publikováno v:
Eye and Vision, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract Purpose To assess rotational stability and refractive outcomes of a new toric hydrophobic acrylic intraocular lens (IOL). Design Single-center, prospective, interventional clinical trial. Methods A total of 130 eyes of 82 patients with age-r
Externí odkaz:
https://doaj.org/article/1aec458a5ece4259a41f6ab5be56194d
Autor:
Rindrasoa Rajaonarimalala, Yevgeniya Korol, Aristide Andrianarimisa, Saskia Dröge, Thio Rosin Fulgence, Ingo Grass, Holger Kreft, Kristina Osen, Anjaharinony A.N.A. Rakotomalala, Bakolimalala Rakouth, Hery Lisy Tiana Ranarijaona, Romual Randriamanantena, Fanomezana Mihaja Ratsoavina, Lala Harivelo Raveloson Ravaomanarivo, Estelle Raveloaritiana, Dominik Schwab, Marie Rolande Soazafy, Teja Tscharntke, Annemarie Wurz, Dirk Hölscher, Dominic Andreas Martin
Publikováno v:
Global Ecology and Conservation, Vol 54, Iss , Pp e03154- (2024)
Transformation of forests into agricultural lands threatens biodiversity and ecosystem functions globally. In the biodiversity hotspot Madagascar, key ecosystem functions along with highly endemic flora and fauna are under threat. Comprehensive studi
Externí odkaz:
https://doaj.org/article/f285f675fddd439cb674f9c75c4039b4
Autor:
Bosansky, Branislav, Kouba, Dominik, Manhal, Ondrej, Sick, Thorsten, Lisy, Viliam, Kroustek, Jakub, Somol, Petr
There is a limited amount of publicly available data to support research in malware analysis technology. Particularly, there are virtually no publicly available datasets generated from rich sandboxes such as Cuckoo/CAPE. The benefit of using dynamic
Externí odkaz:
http://arxiv.org/abs/2209.03188
Autor:
Botovao Auguste Ramiandrisoa, Jean Jaossin Lucien, Rosinètte Luchat Razafitsara, Cyrille Maharombaka, Hery Lisy Tiana Ranarijaona, Maria S. Vorontsova
Publikováno v:
Plants, People, Planet, Vol 6, Iss 2, Pp 505-514 (2024)
Societal Impact Statement Madagascar's children are taught that their ancestors destroyed the vast ancient forest, giving rise to modern grasslands, a misleading myth that continues to undermine people's relationship with nature. Replacing this myth
Externí odkaz:
https://doaj.org/article/1e5d864f75024ca7bb2841ea86d06945
Learning from raw data input, thus limiting the need for feature engineering, is a component of many successful applications of machine learning methods in various domains. While many problems naturally translate into a vector representation directly
Externí odkaz:
http://arxiv.org/abs/2208.02694