Zobrazeno 1 - 10
of 11 388
pro vyhledávání: '"A. Kreuter"'
Publikováno v:
Aerosol Research, Vol 2, Pp 153-159 (2024)
This study presents an extended analysis of aerosol optical depth (AOD) at 501 nm in the Alpine valley of Innsbruck, Austria, from 2007 to 2023, and offers a comparative analysis with the Alpine station of Davos, Switzerland. AOD is derived from grou
Externí odkaz:
https://doaj.org/article/278e62689e28472f9eb0bc0c37c66cd8
Autor:
P. G. Kosmopoulos, S. Kazadzis, A. W. Schmalwieser, P. I. Raptis, K. Papachristopoulou, I. Fountoulakis, A. Masoom, A. F. Bais, J. Bilbao, M. Blumthaler, A. Kreuter, A. M. Siani, K. Eleftheratos, C. Topaloglou, J. Gröbner, B. Johnsen, T. M. Svendby, J. M. Vilaplana, L. Doppler, A. R. Webb, M. Khazova, H. De Backer, A. Heikkilä, K. Lakkala, J. Jaroslawski, C. Meleti, H. Diémoz, G. Hülsen, B. Klotz, J. Rimmer, C. Kontoes
Publikováno v:
Atmospheric Measurement Techniques, Vol 14, Pp 5657-5699 (2021)
This study introduces an Earth observation (EO)-based system which is capable of operationally estimating and continuously monitoring the ultraviolet index (UVI) in Europe. UVIOS (i.e., UV-Index Operating System) exploits a synergy of radiative trans
Externí odkaz:
https://doaj.org/article/f80a9bc3de304fb69fc48ef980fbf811
Autor:
Dutta, Subhabrata, Kaufmann, Timo, Glavaš, Goran, Habernal, Ivan, Kersting, Kristian, Kreuter, Frauke, Mezini, Mira, Gurevych, Iryna, Hüllermeier, Eyke, Schuetze, Hinrich
While there is a widespread belief that artificial general intelligence (AGI) -- or even superhuman AI -- is imminent, complex problems in expert domains are far from being solved. We argue that such problems require human-AI cooperation and that the
Externí odkaz:
http://arxiv.org/abs/2408.07461
Automated decision-making (ADM) systems are being deployed across a diverse range of critical problem areas such as social welfare and healthcare. Recent work highlights the importance of causal ML models in ADM systems, but implementing them in comp
Externí odkaz:
http://arxiv.org/abs/2407.10779
Autor:
V. Schenzinger, A. Kreuter
Publikováno v:
Atmospheric Measurement Techniques, Vol 14, Pp 2787-2798 (2021)
We propose a new cloud screening method for sun photometry that is designed to effectively filter thin clouds. Our method is based on a k-nearest-neighbour algorithm instead of scanning time series of aerosol optical depth. Using 10 years of data fro
Externí odkaz:
https://doaj.org/article/b7e7f99e7cba47cfb94be0d454cc70bb
Autor:
Ma, Bolei, Wang, Xinpeng, Hu, Tiancheng, Haensch, Anna-Carolina, Hedderich, Michael A., Plank, Barbara, Kreuter, Frauke
Recent advances in Large Language Models (LLMs) have sparked wide interest in validating and comprehending the human-like cognitive-behavioral traits LLMs may have. These cognitive-behavioral traits include typically Attitudes, Opinions, Values (AOV)
Externí odkaz:
http://arxiv.org/abs/2406.11096
Conversational Large Language Models are trained to refuse to answer harmful questions. However, emergent jailbreaking techniques can still elicit unsafe outputs, presenting an ongoing challenge for model alignment. To better understand how different
Externí odkaz:
http://arxiv.org/abs/2406.09289
A study for the comprehensive information of current UV exposure for the area of Germany, based on the method for near real time calculation of UV Index maps used in the framework of the Austrian UV Monitoring Network, is presented. For the area of G
Externí odkaz:
http://arxiv.org/abs/2404.05749
Publikováno v:
Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12268-12283, 2024
Whether future AI models are fair, trustworthy, and aligned with the public's interests rests in part on our ability to collect accurate data about what we want the models to do. However, collecting high-quality data is difficult, and few AI/ML resea
Externí odkaz:
http://arxiv.org/abs/2403.01208
Autor:
Nie, Ercong, Yuan, Shuzhou, Ma, Bolei, Schmid, Helmut, Färber, Michael, Kreuter, Frauke, Schütze, Hinrich
Despite the predominance of English in their training data, English-centric Large Language Models (LLMs) like GPT-3 and LLaMA display a remarkable ability to perform multilingual tasks, raising questions about the depth and nature of their cross-ling
Externí odkaz:
http://arxiv.org/abs/2402.18397