Zobrazeno 1 - 10
of 9 770
pro vyhledávání: '"Rauber, A."'
Large Generative AI (GAI) models have the unparalleled ability to generate text, images, audio, and other forms of media that are increasingly indistinguishable from human-generated content. As these models often train on publicly available data, inc
Externí odkaz:
http://arxiv.org/abs/2406.15386
Post-hoc explainability methods aim to clarify predictions of black-box machine learning models. However, it is still largely unclear how well users comprehend the provided explanations and whether these increase the users ability to predict the mode
Externí odkaz:
http://arxiv.org/abs/2309.11987
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 11653-11678 (2024)
Ice formation mechanisms in generating cells near stratiform cloud tops, where mixing and entrainment occurs in the presence of supercooled water droplets, remain poorly understood. Supercooled cloud droplet temperature and lifetime may impact hetero
Externí odkaz:
https://doaj.org/article/a8d5c6c54e3b4186a28d3f5ddca9d3fd
Autor:
Manon Cairat, Sahar Yammine, Thibault Fiolet, Agnès Fournier, Marie-Christine Boutron-Ruault, Nasser Laouali, Francesca Romana Mancini, Gianluca Severi, Fernanda Morales Berstein, Fernanda Rauber, Renata Bertazzi Levy, Guri Skeie, Kristin Benjaminsen Borch, Anne Tjønneland, Lene Mellemkjær, Yan Borné, Ann H. Rosendahl, Giovanna Masala, Maria Teresa Giraudo, Maria Santucci de Magistris, Verena Katzke, Rashmita Bajracharya, Carmen Santiuste, Pilar Amiano, Stina Bodén, Carlota Castro-Espin, Maria-Jose Sánchez, Mathilde Touvier, Mélanie Deschasaux-Tanguy, Bernard Srour, Matthias B. Schulze, Marcela Guevara, Nathalie Kliemann, Jessica Blanco Lopez, Aline Al Nahas, Kiara Chang, Eszter P. Vamos, Christopher Millett, Elio Riboli, Alicia K. Heath, Carine Biessy, Vivian Viallon, Corinne Casagrande, Genevieve Nicolas, Marc J. Gunter, Inge Huybrechts
Publikováno v:
Food Production, Processing and Nutrition, Vol 6, Iss 1, Pp 1-13 (2024)
Abstract Recent epidemiological studies have suggested a positive association between ultra-processed food consumption and breast cancer risk, although some studies also reported no association. Furthermore, the evidence regarding the associations be
Externí odkaz:
https://doaj.org/article/79c430b8d5784f9399c3eea1a414c522
In this paper, the authors present a Radio Access Network (RAN) concept for future mobile communication systems beyond 5G. The concept is based on knowledge of the environment. The three conceptual applications RAN authentication, beam steering, and
Externí odkaz:
http://arxiv.org/abs/2307.08301
The introduction of new types of frequency spectrum in 6G technology facilitates the convergence of conventional mobile communications and radar functions. Thus, the mobile network itself becomes a versatile sensor system. This enables mobile network
Externí odkaz:
http://arxiv.org/abs/2307.08296
Despite remarkable successes, deep reinforcement learning algorithms remain sample inefficient: they require an enormous amount of trial and error to find good policies. Model-based algorithms promise sample efficiency by building an environment mode
Externí odkaz:
http://arxiv.org/abs/2305.00477
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems, 2023
The commercial use of Machine Learning (ML) is spreading; at the same time, ML models are becoming more complex and more expensive to train, which makes Intellectual Property Protection (IPP) of trained models a pressing issue. Unlike other domains t
Externí odkaz:
http://arxiv.org/abs/2304.11285
Autor:
Marcelo Fernando Rauber, Christiane Gresse von Wangenheim, Pedro Alberto Barbetta, Adriano Ferreti Borgatto, Ramon Mayor Martins, Jean Carlo Rossa Hauck
Publikováno v:
Informatics in Education, Vol 23, Iss 2, Pp 409-437 (2024)
The insertion of Machine Learning (ML) in everyday life demonstrates the importance of popularizing an understanding of ML already in school. Accompanying this trend arises the need to assess the students’ learning. Yet, so far, few assessments hav
Externí odkaz:
https://doaj.org/article/5cc31f29fb6843ad8f2946e3efa3e719
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 5603-5623 (2024)
The poor representation of the macrophysical properties of shallow oceanic cumuli in climate models contributes to the large uncertainty in cloud feedback. These properties are also difficult to measure because it requires high-resolution satellite i
Externí odkaz:
https://doaj.org/article/1796c754ce9541a9800cf64b296ec3ef