Zobrazeno 1 - 10
of 4 565
pro vyhledávání: '"Hessen, A"'
Autor:
Janko, Karel, Shain, Daniel H., Fontaneto, Diego, Doležálková, Marie Kaštánková, Buda, Jakub, Kašparová, Eva Štefková, Šabacká, Marie, Rosvold, Jørgen, Stefaniak, Jacek, Hessen, Dag Olav, Devetter, Miloslav, Jimenez/Santos, Marco Antonio, Horna, Patrik, Drdová, Edita Janková, Yde, Jacob Clement, Zawierucha, Krzysztof
Publikováno v:
Diversity and Distributions, 2024 Oct 01. 30(10), 1-18.
Externí odkaz:
https://www.jstor.org/stable/48789748
Autor:
Keita, Mamadou, Hamidouche, Wassim, Eutamene, Hessen Bougueffa, Taleb-Ahmed, Abdelmalik, Hadid, Abdenour
We introduce FIDAVL: Fake Image Detection and Attribution using a Vision-Language Model. FIDAVL is a novel and efficient mul-titask approach inspired by the synergies between vision and language processing. Leveraging the benefits of zero-shot learni
Externí odkaz:
http://arxiv.org/abs/2409.03109
Popular word embedding methods such as GloVe and Word2Vec are related to the factorization of the pointwise mutual information (PMI) matrix. In this paper, we link correspondence analysis (CA) to the factorization of the PMI matrix. CA is a dimension
Externí odkaz:
http://arxiv.org/abs/2405.20895
Oral history is about oral sources of witnesses and commentors on historical events. Speech technology is an important instrument to process such recordings in order to obtain transcription and further enhancements to structure the oral account In th
Externí odkaz:
http://arxiv.org/abs/2405.02333
Correspondence analysis (CA) is a popular technique to visualize the relationship between two categorical variables. CA uses the data from a two-way contingency table and is affected by the presence of outliers. The supplementary points method is a p
Externí odkaz:
http://arxiv.org/abs/2404.17380
Autor:
Keita, Mamadou, Hamidouche, Wassim, Eutamene, Hessen Bougueffa, Hadid, Abdenour, Taleb-Ahmed, Abdelmalik
Advancements in deep image synthesis techniques, such as generative adversarial networks (GANs) and diffusion models (DMs), have ushered in an era of generating highly realistic images. While this technological progress has captured significant inter
Externí odkaz:
http://arxiv.org/abs/2404.01959
Publikováno v:
Earth System Dynamics, Vol 15, Pp 969-985 (2024)
Climate tipping points are a topic of growing interest in climate research and a frequent communication tool in the media to warn of dangerous climate change. Despite indications that several climate tipping points may already be triggered within 1.5
Externí odkaz:
https://doaj.org/article/cf0d0a219e194b6d8572a79227172f86
Publikováno v:
Journal of Intelligent Information Systems 2023
Both latent semantic analysis (LSA) and correspondence analysis (CA) are dimensionality reduction techniques that use singular value decomposition (SVD) for information retrieval. Theoretically, the results of LSA display both the association between
Externí odkaz:
http://arxiv.org/abs/2303.08030
Autor:
D. O. Hessen, T. Andersen, D. Armstrong McKay, S. Kosten, M. Meerhoff, A. Pickard, B. M. Spears
Publikováno v:
Earth System Dynamics, Vol 15, Pp 653-669 (2024)
Lakes and ponds experience anthropogenically forced changes that may be non-linear and sometimes initiate ecosystem feedbacks leading to tipping points beyond which impacts become hard to reverse. In many cases climate change is a key driver, sometim
Externí odkaz:
https://doaj.org/article/ba5e03fdeaad4645835c5471ca278122
Autor:
Manjana Milkoreit, Emily Boyd, Sara M. Constantino, Vera Helene Hausner, Dag O. Hessen, Andreas Kääb, Duncan McLaren, Christina Nadeau, Karen O'Brien, Frans-Jan Parmentier, Ronny Rotbarth, Rolf Rødven, Désirée Treichler, Elana Wilson-Rowe, Yulia Yamineva
Publikováno v:
Earth System Governance, Vol 21, Iss , Pp 100216- (2024)
Tipping points in the Earth system could be passed within the Paris Agreement's temperature goal range (1.5°C–2°C). Tipping processes are a feature of complex Earth system dynamics that present major governance challenges not addressed by existin
Externí odkaz:
https://doaj.org/article/f85e56cd02ca42d982e6b2d36cceb244