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pro vyhledávání: '"Härmä A"'
Large pretrained self-attention neural networks, or transformers, have been very successful in various tasks recently. The performance of a model on a given task depends on its ability to memorize and generalize the training data. Large transformer m
Externí odkaz:
http://arxiv.org/abs/2407.15425
Autor:
Härmä, Aki, Brinker, Bert den, Grossekathofer, Ulf, Ouweltjes, Okke, Nallanthighal, Srikanth, Abrol, Sidharth, Sharma, Vibhu
Recent years has witnessed an increase in technologies that use speech for the sensing of the health of the talker. This survey paper proposes a general taxonomy of the technologies and a broad overview of current progress and challenges. Vocal bioma
Externí odkaz:
http://arxiv.org/abs/2407.17505
Autor:
Liventsev, Vadim, Kumar, Vivek, Susaiyah, Allmin Pradhap Singh, Wu, Zixiu, Rodin, Ivan, Yaar, Asfand, Balloccu, Simone, Beraziuk, Marharyta, Battiato, Sebastiano, Farinella, Giovanni Maria, Härmä, Aki, Helaoui, Rim, Petkovic, Milan, Recupero, Diego Reforgiato, Reiter, Ehud, Riboni, Daniele, Sterling, Raymond
The use of machine learning in Healthcare has the potential to improve patient outcomes as well as broaden the reach and affordability of Healthcare. The history of other application areas indicates that strong benchmarks are essential for the develo
Externí odkaz:
http://arxiv.org/abs/2405.02770
In natural language generation (NLG), insight mining is seen as a data-to-text task, where data is mined for interesting patterns and verbalised into 'insight' statements. An 'over-generate and rank' paradigm is intuitively used to generate such insi
Externí odkaz:
http://arxiv.org/abs/2307.13176
We present a novel method for mining opinions from text collections using generative language models trained on data collected from different populations. We describe the basic definitions, methodology and a generic algorithm for opinion insight mini
Externí odkaz:
http://arxiv.org/abs/2307.13173
Respiratory chest belt sensor can be used to measure the respiratory rate and other respiratory health parameters. Virtual Respiratory Belt, VRB, algorithms estimate the belt sensor waveform from speech audio. In this paper we compare the detection o
Externí odkaz:
http://arxiv.org/abs/2305.11683
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Readmissions in psychiatric inpatient care may reflect problems in the provision of care, but the underlying factors are not well known. We examined the associations of patient characteristics (sociodemographic factors, diagnoses)
Externí odkaz:
https://doaj.org/article/931f038cfe7645fdb88af0f29122a912
Autor:
Maria Alhainen, Mikko Härmä, Jaana Pentti, Jenni Ervasti, Mika Kivimäki, Jussi Vahtera, Sari Stenholm
Publikováno v:
Scandinavian Journal of Work, Environment & Health, Vol 50, Iss 6, Pp 406-415 (2024)
OBJECTIVE: Leisure-time physical activity (PA) has been hypothesized to reduce the likelihood of occupational injuries, but it is unclear whether this association varies between workplace and commuting injuries. The aim of this study was to examine t
Externí odkaz:
https://doaj.org/article/cb38fd0945ec4495a6f18c5942e4215f
Current approaches to program synthesis with Large Language Models (LLMs) exhibit a "near miss syndrome": they tend to generate programs that semantically resemble the correct answer (as measured by text similarity metrics or human evaluation), but a
Externí odkaz:
http://arxiv.org/abs/2304.10423
Publikováno v:
Nursing Open, Vol 11, Iss 11, Pp n/a-n/a (2024)
ABSTRACT Aim To investigate concurrent changes in short shift intervals (
Externí odkaz:
https://doaj.org/article/b72a80119b374c15881404dc17b4f87d