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Machine learning

Performance improvement of machine learning techniques predicting the association of exacerbation of peak expiratory flow ratio with short term exposure level to indoor air quality using adult asthmatics clustered data

Wan D. Bae, Sungroul Kim, [ ... ], Jong Wook Lee

A novel cross-validation strategy for artificial neural networks using distributed-lag environmental factors

Chao-Yu Guo, Tse-Wei Liu, Yi-Hau Chen

Recurrent disease progression networks for modelling risk trajectory of heart failure

Xing Han Lu, Aihua Liu, [ ... ], Yue Li

Insights into mobile health application market via a content analysis of marketplace data with machine learning

Gokhan Aydin, Gokhan Silahtaroglu

Reverse annealing for nonnegative/binary matrix factorization

John Golden, Daniel O’Malley

Evidence of vascular endothelial dysfunction in Wooden Breast disorder in chickens: Insights through gene expression analysis, ultra-structural evaluation and supervised machine learning methods

Behnam Abasht, Michael B. Papah, Jing Qiu

Application of machine learning in the diagnosis of gastric cancer based on noninvasive characteristics

Shuang-Li Zhu, Jie Dong, [ ... ], Wensheng Pan

Rapid detection of fast innovation under the pressure of COVID-19

Nicola Melluso, Andrea Bonaccorsi, Filippo Chiarello, Gualtiero Fantoni

Predicting self-harm within six months after initial presentation to youth mental health services: A machine learning study

Frank Iorfino, Nicholas Ho, [ ... ], Ian B. Hickie

Validation of motion tracking as tool for observational toothbrushing studies

Carolina Ganss, Patrick Klein, Katja Giese-Kraft, Michael Meyners

EXSEQREG: Explaining sequence-based NLP tasks with regions with a case study using morphological features for named entity recognition

Onur Güngör, Tunga Güngör, Suzan Uskudarli

Using enriched semantic event chains to model human action prediction based on (minimal) spatial information

Fatemeh Ziaeetabar, Jennifer Pomp, [ ... ], Florentin Wörgötter

Directions in abusive language training data, a systematic review: Garbage in, garbage out

Bertie Vidgen, Leon Derczynski

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