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of 433
pro vyhledávání: '"Martin, Lukas"'
This paper proposes a novel, resource-efficient approach to Visual Speech Recognition (VSR) leveraging speech representations produced by any trained Automatic Speech Recognition (ASR) model. Moving away from the resource-intensive trends prevalent i
Externí odkaz:
http://arxiv.org/abs/2312.09727
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 8, p e19745 (2020)
BackgroundIn an effort to contain the effects of the coronavirus disease (COVID-19) pandemic, health care systems worldwide implemented telemedical solutions to overcome staffing, technical, and infrastructural limitations. In Germany, a multitude of
Externí odkaz:
https://doaj.org/article/dd354b83644149be8089eeee9b0b9320
Autor:
Benevento, Elisabetta, Pegoraro, Marco, Antoniazzi, Mattia, Beyel, Harry H., Peeva, Viki, Balfanz, Paul, van der Aalst, Wil M. P., Martin, Lukas, Marx, Gernot
The discipline of process mining has a solid track record of successful applications to the healthcare domain. Within such research space, we conducted a case study related to the Intensive Care Unit (ICU) ward of the Uniklinik Aachen hospital in Ger
Externí odkaz:
http://arxiv.org/abs/2209.10897
Autor:
Pegoraro, Marco, Narayana, Madhavi Bangalore Shankara, Benevento, Elisabetta, van der Aalst, Wil M. P., Martin, Lukas, Marx, Gernot
The recent increase in the availability of medical data, possible through automation and digitization of medical equipment, has enabled more accurate and complete analysis on patients' medical data through many branches of data science. In particular
Externí odkaz:
http://arxiv.org/abs/2202.04625
Publikováno v:
International Journal of Prosthodontics; 2024, Vol. 37 Issue 1, p16-26, 11p
Autor:
Hallawa, Ahmed, Born, Thorsten, Schmeink, Anke, Dartmann, Guido, Peine, Arne, Martin, Lukas, Iacca, Giovanni, Eiben, A. E., Ascheid, Gerd
In this work, we propose a novel approach for reinforcement learning driven by evolutionary computation. Our algorithm, dubbed as Evolutionary-Driven Reinforcement Learning (evo-RL), embeds the reinforcement learning algorithm in an evolutionary cycl
Externí odkaz:
http://arxiv.org/abs/2007.04725
Akademický článek
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Autor:
Franceschet, Massimo, Colavizza, Giovanni, Smith, Tai, Finucane, Blake, Ostachowski, Martin Lukas, Scalet, Sergio, Perkins, Jonathan, Morgan, James, Hernandez, Sebastian
This is a decentralized position paper on crypto art, which includes viewpoints from different actors of the system: artists, collectors, galleries, art scholars, data scientists. The writing process went as follows: a general definition of the topic
Externí odkaz:
http://arxiv.org/abs/1906.03263
Akademický článek
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