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of 3 669
pro vyhledávání: '"Wiechmann, A."'
This paper presents our system employed for the Social Media Mining for Health 2023 Shared Task 4: Binary classification of English Reddit posts self-reporting a social anxiety disorder diagnosis. We systematically investigate and contrast the effica
Externí odkaz:
http://arxiv.org/abs/2312.09451
Autor:
Rautenberg, Frederik, Kuhlmann, Michael, Wiechmann, Jana, Seebauer, Fritz, Wagner, Petra, Haeb-Umbach, Reinhold
Unsupervised speech disentanglement aims at separating fast varying from slowly varying components of a speech signal. In this contribution, we take a closer look at the embedding vector representing the slowly varying signal components, commonly nam
Externí odkaz:
http://arxiv.org/abs/2310.12599
Autor:
Lea C. Thiem, Per Rank, Jonas Q. Schmid, Yann Janssens, Lara Bettenhäuser-Hartung, Dirk Wiechmann
Publikováno v:
Head & Face Medicine, Vol 20, Iss 1, Pp 1-13 (2024)
Abstract Background The aim of the investigation was to evaluate if the inclination of the lower anterior teeth can be controlled reliably after lower premolar extraction for Class III camouflage treatment with completely customized lingual appliance
Externí odkaz:
https://doaj.org/article/722d8ac044b34b43b563657781a6855e
In this paper we present our contribution to the TSAR-2022 Shared Task on Lexical Simplification of the EMNLP 2022 Workshop on Text Simplification, Accessibility, and Readability. Our approach builds on and extends the unsupervised lexical simplifica
Externí odkaz:
http://arxiv.org/abs/2212.09855
State-of-the-art text simplification (TS) systems adopt end-to-end neural network models to directly generate the simplified version of the input text, and usually function as a blackbox. Moreover, TS is usually treated as an all-purpose generic task
Externí odkaz:
http://arxiv.org/abs/2212.09848
In recent years, there has been a surge of interest in research on automatic mental health detection (MHD) from social media data leveraging advances in natural language processing and machine learning techniques. While significant progress has been
Externí odkaz:
http://arxiv.org/abs/2212.09839
In recent years, there has been increased interest in building predictive models that harness natural language processing and machine learning techniques to detect emotions from various text sources, including social media posts, micro-blogs or news
Externí odkaz:
http://arxiv.org/abs/2212.09465
Autor:
Jonathan Yi-Shin Yau, Soheil Saadat, Edmund Hsu, Linda Suk-Ling Murphy, Jennifer S Roh, Jeffrey Suchard, Antonio Tapia, Warren Wiechmann, Mark I Langdorf
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e60291 (2024)
BackgroundRecent surveys indicate that 48% of consumers actively use generative artificial intelligence (AI) for health-related inquiries. Despite widespread adoption and the potential to improve health care access, scant research examines the perfor
Externí odkaz:
https://doaj.org/article/460291db9839488aaa01b04ca6ca3048
Autor:
Livia Souza Primo, Natasha Caroline C. de Moraes Sanches, Jessica Camila Fizinus, Susana Lilian Wiechmann, Zuleica Naomi Tano, Priscila Audibert Nader, Philipe Quagliato Bellinati
Publikováno v:
Brazilian Journal of Infectious Diseases, Vol 28, Iss , Pp 103965- (2024)
Introdução: Mesmo com o advento do uso da terapia antirretroviral para tratamento dos pacientes portadores do vírus HIV e com o maior conhecimento que se tem da Aids, ela continua sendo endêmica em várias regiões do mundo, com novos casos diagn
Externí odkaz:
https://doaj.org/article/8d92ab4559b249cf8e186d70c1bf8206
Autor:
Livia Souza Primo, Natasha Caroline C. de Moraes Sanches, Jessica Camila Fizinus, Zuleina Naomi Tano, Susana Lilian Wiechmann, Priscila Audibert Nader, Philipe Quagliato Bellinati
Publikováno v:
Brazilian Journal of Infectious Diseases, Vol 28, Iss , Pp 103964- (2024)
Introdução: Em pacientes infectados com HIV, a investigação de doenças oportunistas é imprescindível por serem responsáveis pela elevada morbimortalidade da doença, sendo pneumopatias as principais manifestações dessas afecções. Formas g
Externí odkaz:
https://doaj.org/article/e3ed899e52614242946518f1ae1139d0