Zobrazeno 1 - 10
of 905
pro vyhledávání: '"model interpretability"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract This study aimed to investigate the advantages and applications of machine learning models in predicting the risk of allergic rhinitis (AR) in children aged 2–8, compared to traditional logistic regression. The study analyzed questionnaire
Externí odkaz:
https://doaj.org/article/94e2c295ef3b44499a4fec3f2bdf7c0b
Autor:
Ahmet Metin, Turgay Tugay Bilgin
Publikováno v:
PeerJ Computer Science, Vol 10, p e2188 (2024)
The enhancement of fabric quality prediction in the textile manufacturing sector is achieved by utilizing information derived from sensors within the Internet of Things (IoT) and Enterprise Resource Planning (ERP) systems linked to sensors embedded i
Externí odkaz:
https://doaj.org/article/95ed98648a8f421b9b5bde3cb159f765
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
Protein-Protein Interactions (PPIs) involves in various biological processes, which are of significant importance in cancer diagnosis and drug development. Computational based PPI prediction methods are more preferred due to their low cost and high a
Externí odkaz:
https://doaj.org/article/1933ad610bb746fea5307eac2afbbba9
Autor:
Yapeng Zhang, Long Liu, Jian Wu, Shaoxiang Zeng, Jianquan Hu, Yuanqin Tao, Yong Huang, Xuetao Zhou, Xu Liang
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Total thrust and torque are two key indicators of shield movement performance. Most existing data-driven machine learning studies focus on developing more accurate models for predicting total thrust and torque but overlook the interpretability of the
Externí odkaz:
https://doaj.org/article/2990c8f5c1094d1ea39e5f218a90973e
Autor:
Huawei Wei, Xingshuai Huang, Yixuan Zhang, Guowei Jiang, Ruifeng Ding, Mengqiu Deng, Liangtian Wei, Hongbin Yuan
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
AimThe objective of this study is to develop accurate machine learning (ML) models for predicting the neurological status at hospital discharge of critically ill patients with hemorrhagic and ischemic stroke and identify the risk factors associated w
Externí odkaz:
https://doaj.org/article/3ed1a5818d65442ba171c1041b777dca
Publikováno v:
EClinicalMedicine, Vol 72, Iss , Pp 102617- (2024)
Summary: Background: Bone metastasis significantly impact the prognosis of non-small cell lung cancer (NSCLC) patients, reducing their quality of life and shortening their survival. Currently, there are no effective tools for the diagnosis and risk a
Externí odkaz:
https://doaj.org/article/2e18612f556e4c2ea09f06215b5e3179
Publikováno v:
Environmental Science and Ecotechnology, Vol 19, Iss , Pp 100321- (2024)
Cornstalks show promise as a raw material for polysaccharide production through xylanase. Rapid and accurate prediction of polysaccharide yield can facilitate process optimization, eliminating the need for extensive experimentation in actual producti
Externí odkaz:
https://doaj.org/article/a58b5160ab574288b2550d79c11081ae
Autor:
Ibrahim Shaer, Abdallah Shami
Publikováno v:
IEEE Access, Vol 12, Pp 128338-128348 (2024)
Finding the set of discriminatory features in a classification task is imperative for the interpretability of the “black box” deep learning (DL) models, especially in high-stakes industrial applications such as predictive maintenance and industri
Externí odkaz:
https://doaj.org/article/240887fc117e410b8724eda1fd941d4a
Autor:
Marek Pawlicki
Publikováno v:
IEEE Access, Vol 12, Pp 123561-123580 (2024)
This work proposes three novel Pre-Model Interpretability metrics: HaRIA, ARIA, and GeRIA. They aim to assess the potential utilization of features in machine learning models prior to the training phase, by quantifying the Relative Information Availa
Externí odkaz:
https://doaj.org/article/4f4d448de4be4afaa265cb3482a0c137
Autor:
Dongqi Yang, Binqing Xiao
Publikováno v:
IEEE Access, Vol 12, Pp 115124-115136 (2024)
Machine learning methods have gained widespread utilization in small and micro enterprise credit risk assessment. However, the practical application of these methods encounters a conundrum involving accuracy and interpretability. In this study, a mul
Externí odkaz:
https://doaj.org/article/37fdf091c2344b59af116107c29fd094