Zobrazeno 1 - 10
of 38 561
pro vyhledávání: '"A. Auer"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 4099-4126 (2024)
Uncertainty estimates are fundamental to assess the reliability of predictive models in hydrology. We use the framework of conformal prediction to investigate the impact of temporal and spatial information on uncertainty estimates within hydrological
Externí odkaz:
https://doaj.org/article/d52b2f4ae3a246aaa6ab9bfc7da9822b
Prevalence and significance of a canine bocavirus-2 outbreak in a cohort of military dogs in Austria
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
IntroductionBocaviruses are single-stranded DNA viruses from the Parvoviridae family, which have been minimally discussed in veterinary literature and are considered potentially pathogenic. Due to the recurring illness among young dogs in a closed co
Externí odkaz:
https://doaj.org/article/abb1dc16d06b4ff7a0bcd07b670cb515
While the power of quantum computers is commonly acknowledged to rise exponentially, it is often overlooked that the complexity of quantum noise mechanisms generally grows much faster. In particular, quantifying whether the instructions on a quantum
Externí odkaz:
http://arxiv.org/abs/2409.02110
Autor:
Auer, Max
The celebrated Birkhoff Ergodic Theorem asserts that, for an ergodic map, orbits of almost every point equidistributes when sampled at integer times. This result was generalized by Bourgain to many natural sparse subsets of the integers. On the other
Externí odkaz:
http://arxiv.org/abs/2408.15238
Autor:
Auer, Christoph, Lysak, Maksym, Nassar, Ahmed, Dolfi, Michele, Livathinos, Nikolaos, Vagenas, Panos, Ramis, Cesar Berrospi, Omenetti, Matteo, Lindlbauer, Fabian, Dinkla, Kasper, Mishra, Lokesh, Kim, Yusik, Gupta, Shubham, de Lima, Rafael Teixeira, Weber, Valery, Morin, Lucas, Meijer, Ingmar, Kuropiatnyk, Viktor, Staar, Peter W. J.
This technical report introduces Docling, an easy to use, self-contained, MIT-licensed open-source package for PDF document conversion. It is powered by state-of-the-art specialized AI models for layout analysis (DocLayNet) and table structure recogn
Externí odkaz:
http://arxiv.org/abs/2408.09869
Autor:
Auer, Martin, Voit, Michael
After some normalization, the logarithms of the ordered singular values of Brownian motions on $GL(N,\mathbb F)$ with $\mathbb F=\mathbb R, \mathbb C$ form Weyl-group invariant Heckman-Opdam processes on $\mathbb R^N$ of type $A_{N-1}$. We use classi
Externí odkaz:
http://arxiv.org/abs/2408.00535
Authoring survey or review articles still requires significant tedious manual effort, despite many advancements in research knowledge management having the potential to improve efficiency, reproducibility, and reuse. However, these advancements bring
Externí odkaz:
http://arxiv.org/abs/2407.18657
Our study explores how well the state-of-the-art Large Language Models (LLMs), like GPT-4 and Mistral, can assess the quality of scientific summaries or, more fittingly, scientific syntheses, comparing their evaluations to those of human annotators.
Externí odkaz:
http://arxiv.org/abs/2407.02977
Autor:
Giglou, Hamed Babaei, Taffa, Tilahun Abedissa, Abdullah, Rana, Usmanova, Aida, Usbeck, Ricardo, D'Souza, Jennifer, Auer, Sören
This paper introduces a scholarly Question Answering (QA) system on top of the NFDI4DataScience Gateway, employing a Retrieval Augmented Generation-based (RAG) approach. The NFDI4DS Gateway, as a foundational framework, offers a unified and intuitive
Externí odkaz:
http://arxiv.org/abs/2406.07257
This paper explores the impact of context selection on the efficiency of Large Language Models (LLMs) in generating Artificial Intelligence (AI) research leaderboards, a task defined as the extraction of (Task, Dataset, Metric, Score) quadruples from
Externí odkaz:
http://arxiv.org/abs/2407.02409