Results 131 to 140 of about 447 (169)

Metaparameter optimized hybrid deep learning model for next generation cybersecurity in software defined networking environment. [PDF]

Sci Rep
Kumar CL, Betam S, Pustokhin D, Laxmi Lydia E, Bala K, Aluvalu R, Panigrahi BS.   +6 more
europepmc   +1 more source

NodeFlow: Towards End-to-End Flexible Probabilistic Regression on Tabular Data. [PDF]

Entropy (Basel)
Wielopolski P, Furman O, Zięba M.
europepmc   +1 more source

A stacked ensemble machine learning approach for the prediction of diabetes. [PDF]

J Diabetes Metab Disord
Oliullah K, Rasel MH, Islam MM, Islam MR, Wadud MAH, Whaiduzzaman M.   +5 more
europepmc   +1 more source

Beyond binary AKI classification: development and external validation of a distributional model predicting serum creatinine and urine output trajectories in ICU patients. [PDF]

Crit Care
Jonkers J, Rouzé A, Verhaeghe J, Van Biesen W, De Waele J, Duchateau L, Van Wallendael G, Hoste E, Van Hoecke S.   +8 more
europepmc   +1 more source

Passive determination of anisotropic compressive strength of 3D printed concrete using multiple neural networks enhanced with explainable machine learning (XML). [PDF]

Sci Rep
Iqbal I, Kasim T, Besklubova S, Mustafa A, Rahman M, Alabduljabbar H, Ahmad F.   +6 more
europepmc   +1 more source

Deciphering Immunometabolic Landscape in Rheumatoid Arthritis: Integrative Multiomics, Explainable Machine Learning and Experimental Validation. [PDF]

J Inflamm Res
Dong Q, Wu J, Zhang H, Chen X, Xu X, Chen J, Shi C, Luo L, Zhang D.   +8 more
europepmc   +1 more source

Predictive modelling and identification of key risk factors for stroke using machine learning.

Sci Rep
Hassan A, Gulzar Ahmad S, Ullah Munir E, Ali Khan I, Ramzan N.   +4 more
europepmc   +1 more source

Enhancing Mix Proportion Design of Low Carbon Concrete for Shield Segment Using a Combination of Bayesian Optimization-NGBoost and NSGA-III Algorithm [PDF]

Journal of Cleaner Production
The demand for segment concrete increases rapidly with the expansion of urban rail transit and underground space, which may lead to carbon emissions (CE). In the production of segment concrete, using supplement cementitious materials (SCM) can be used to
Jian Lei, Maxwell F. Antwi-Afari
exaly   +3 more sources

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NGBoost Interpretation Using LIME for Alcoholic EEG Signal Based on GLDM Feature Extraction

Advances in Intelligent Systems and Computing, 2020
NGBoost is a boosting algorithm that predicts probability distribution. In its application to alcoholic EEG signals which features have been extracted using GLDM, the resulting model is difficult to explain due to its black box. In this study, the NGBoost implementation and its interpretation of the alcoholic EEG dataset were investigated using LIME ...
Achmad Rizal, Dandi Trianta Barus
exaly   +2 more sources