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Published in 2021 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.0c01307
Abstract: Combinatorial fusion analysis (CFA) is an approach for combining multiple scoring systems using the rank-score characteristic function and cognitive diversity measure. One example is to combine diverse machine learning models to achieve better prediction quality.…
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Keywords:
fusion;
quality;
prediction quality;
high throughput ... See more keywords
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Published in 2021 at "Journal of animal science"
DOI: 10.1093/jas/skab206
Abstract: Wearable sensors have been explored as an alternative for real-time monitoring of cattle feeding behavior in grazing systems. To evaluate the performance of predictive models such as machine learning (ML) techniques, data cross-validation (CV) approaches…
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Keywords:
machine learning;
validation;
cross validation;
prediction quality ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3485185
Abstract: Artificial intelligence (AI) systems, based on neural networks are becoming ubiquitous. However, in many cases, their application is constrained by the lack of interpretability. One of the ways of overcoming this limitation is neuro-symbolic approaches,…
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Keywords:
neuro symbolic;
ontology;
prediction quality;
ontology based ... See more keywords
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Published in 2017 at "Frontiers in Psychiatry"
DOI: 10.3389/fpsyt.2017.00198
Abstract: Background There has been a shift in mental health services from an emphasis on treatment focused on reducing symptoms to a more holistic approach involving quality of life (QOL) and overall well-being. Many psychosocial variables…
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Keywords:
patients schizophrenia;
asian patients;
study;
quality life ... See more keywords