Zobrazeno 1 - 10
of 2 228
pro vyhledávání: '"Gencer P"'
Autor:
Clasen, Kai Norman, Hackel, Leonard, Burgert, Tom, Sumbul, Gencer, Demir, Begüm, Markl, Volker
This paper presents refined BigEarthNet (reBEN) that is a large-scale, multi-modal remote sensing dataset constructed to support deep learning (DL) studies for remote sensing image analysis. The reBEN dataset consists of 549,488 pairs of Sentinel-1 a
Externí odkaz:
http://arxiv.org/abs/2407.03653
Deep metric learning (DML) has shown to be effective for content-based image retrieval (CBIR) in remote sensing (RS). Most of DML methods for CBIR rely on a high number of annotated images to accurately learn model parameters of deep neural networks
Externí odkaz:
http://arxiv.org/abs/2406.10107
We investigate intuitionistic modal logics with locally interpreted $\square$ and $\lozenge$. The basic logic LIK is stronger than constructive modal logic WK and incomparable with intuitionistic modal logic IK. We propose an axiomatization of LIK an
Externí odkaz:
http://arxiv.org/abs/2403.06772
Self-supervised learning through masked autoencoders (MAEs) has recently attracted great attention for remote sensing (RS) image representation learning, and thus embodies a significant potential for content-based image retrieval (CBIR) from ever-gro
Externí odkaz:
http://arxiv.org/abs/2401.07782
Federated learning (FL) enables the collaboration of multiple deep learning models to learn from decentralized data archives (i.e., clients) without accessing data on clients. Although FL offers ample opportunities in knowledge discovery from distrib
Externí odkaz:
http://arxiv.org/abs/2311.06141
Reading right books contributes to children's imagination and brain development, enhances their language and emotional comprehension abilities, and strengthens their relationships with others. Building upon the critical role of reading books in indiv
Externí odkaz:
http://arxiv.org/abs/2311.07591
Autor:
Cédric Follonier, Gabriel Rabassa, Mattia Branca, David Carballo, Konstantinos Koskinas, Dik Heg, David Nanchen, Lorenz Räber, Roland Klingenberg, Moa Lina Haller, Sebastian Carballo, Stephan Windecker, Christian M. Matter, Nicolas Rodondi, François Mach, Baris Gencer
Publikováno v:
Atherosclerosis Plus, Vol 58, Iss , Pp 1-8 (2024)
Background and aims: The 2019 European Society of Cardiology guidelines for the management of dyslipidemia consider the use of high-dose marine omega-3 fatty acid (FA) eicosapentaenoic acid (EPA) supplementation (icosapent ethyl 2 × 2g/day) to lower
Externí odkaz:
https://doaj.org/article/fc611e269de74927acf1cd1210834d22
Publikováno v:
ZooKeys, Vol 1214, Iss , Pp 265-279 (2024)
As part of our detailed study of the Caucasian mayfly fauna, we describe Epeorus (Caucasiron) abditus sp. nov., a new species of the genus Epeorus Eaton, 1881, subgenus Caucasiron Kluge, 1997, based on larvae collected in Türkiye, Georgia, and Russi
Externí odkaz:
https://doaj.org/article/c4eb542a7e5640fe8d635072a1af8e0b
We introduce FIK, a natural intuitionistic modal logic specified by Kripke models satisfying the condition of forward confluence. We give a complete Hilbert-style axiomatization of this logic and propose a bi-nested calculus for it. The calculus prov
Externí odkaz:
http://arxiv.org/abs/2309.06309
Deep metric learning (DML) based methods have been found very effective for content-based image retrieval (CBIR) in remote sensing (RS). For accurately learning the model parameters of deep neural networks, most of the DML methods require a high numb
Externí odkaz:
http://arxiv.org/abs/2306.11605