Zobrazeno 41 - 50
of 9 820
pro vyhledávání: '"Rik, P."'
Autor:
Sophie E. Mastenbroek, Jacob W. Vogel, Lyduine E. Collij, Geidy E. Serrano, Cécilia Tremblay, Alexandra L. Young, Richard A. Arce, Holly A. Shill, Erika D. Driver-Dunckley, Shyamal H. Mehta, Christine M. Belden, Alireza Atri, Parichita Choudhury, Frederik Barkhof, Charles H. Adler, Rik Ossenkoppele, Thomas G. Beach, Oskar Hansson
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Lewy body (LB) diseases, characterized by the aggregation of misfolded α-synuclein proteins, exhibit notable clinical heterogeneity. This may be due to variations in accumulation patterns of LB neuropathology. Here we apply a data-driven di
Externí odkaz:
https://doaj.org/article/8ead8da20952462faeaafda287e2a07f
We tackle the task of automatically discriminating between human and machine translations. As opposed to most previous work, we perform experiments in a multilingual setting, considering multiple languages and multilingual pretrained language models.
Externí odkaz:
http://arxiv.org/abs/2305.19757
Recent studies show that sentence-level extractive QA, i.e., based on Answer Sentence Selection (AS2), is outperformed by Generation-based QA (GenQA) models, which generate answers using the top-k answer sentences ranked by AS2 models (a la retrieval
Externí odkaz:
http://arxiv.org/abs/2305.15344
The online knapsack problem is a classic problem in the field of online algorithms. Its canonical version asks how to pack items of different values and weights arriving online into a capacity-limited knapsack so as to maximize the total value of the
Externí odkaz:
http://arxiv.org/abs/2305.13293
Deep learning models have seen significant successes in numerous applications, but their inner workings remain elusive. The purpose of this work is to quantify the learning process of deep neural networks through the lens of a novel topological invar
Externí odkaz:
http://arxiv.org/abs/2305.05611
Autor:
Campbell-White, Justyn, Manara, Carlo F., Sicilia-Aguilar, Aurora, Frasca, Antonio, Nielsen, Louise D., Schneider, P. Christian, Nisini, Brunella, Bayo, Amelia, Ercolano, Barbara, Ábrahám, Péter, Claes, Rik, Fang, Min, Fedele, Davide, Gameiro, Jorge Filipe, Gangi, Manuele, Kóspál, Ágnes, Maucó, Karina, Petr-Gotzens, Monika G., Rigliaco, Elisabetta, Robinson, Connor, Siwak, Michal, Tychoniec, Lukasz, Venuti, Laura
Publikováno v:
A&A 673, A80 (2023)
Absorption features in stellar atmospheres are often used to calibrate photocentric velocities for kinematic analysis of further spectral lines. The Li feature at $\sim$ 6708 {\AA} is commonly used, especially in the case of young stellar objects for
Externí odkaz:
http://arxiv.org/abs/2303.03843
Alzheimer's disease (AD) is a progressive neurodegenerative disease most often associated with memory deficits and cognitive decline. With the aging population, there has been much interest in automated methods for cognitive impairment detection. One
Externí odkaz:
http://arxiv.org/abs/2303.03049
Precise markings for drilling and assembly are crucial, laborious construction tasks. Aerial robots with suitable end-effectors are capable of markings at the millimeter scale. However, so far, they have only been demonstrated under laboratory condit
Externí odkaz:
http://arxiv.org/abs/2303.01352
Autor:
Broek, Ronald C. van den, Litjens, Rik, Sagis, Tobias, Siecker, Luc, Verbeeke, Nina, Gajane, Pratik
Decision-making problems of sequential nature, where decisions made in the past may have an impact on the future, are used to model many practically important applications. In some real-world applications, feedback about a decision is delayed and may
Externí odkaz:
http://arxiv.org/abs/2303.00620
Autor:
Martínez, Gonzalo, Watson, Lauren, Reviriego, Pedro, Hernández, José Alberto, Juarez, Marc, Sarkar, Rik
In the span of a few months, generative Artificial Intelligence (AI) tools that can generate realistic images or text have taken the Internet by storm, making them one of the technologies with fastest adoption ever. Some of these generative AI tools
Externí odkaz:
http://arxiv.org/abs/2303.01255