Results 121 to 130 of about 744,531 (188)

Enhancing credit card fraud detection with a hybrid approach using machine and deep learning. [PDF]

Sci Rep
Gamal N, Younis EMG, Makram WM.
europepmc   +1 more source

Tree Height and the Asymptotic Mean of the Colijn-Plazzotta Rank of Unlabeled Binary Rooted Trees. [PDF]

Bull Math Biol
Devroye L, Doboli MR, Rosenberg NA, Wagner S.   +3 more
europepmc   +1 more source

Modeling mechanical properties of rubberized concrete using gene expression programming (GEP) and random forest: a comparative study. [PDF]

Sci Rep
Sheraz M, Talha M, Alam M, Farhan M, Ul Haq Z, Rashid M, Alabduljabbar H, Ahmad F.   +7 more
europepmc   +1 more source

Machine learning models enhance detection of arrhythmogenic right ventricular cardiomyopathy. [PDF]

Mach Learn Health
Quansah KK, Murphy SA, Kwon E, Anderson E, Tichnell C, Murray B, Gaines S, Gasperetti A, James CA, Calkins H, Carrick RT, Kwon C.   +11 more
europepmc   +1 more source

Data-driven combination of METAR observations and CAMS reanalysis aerosols to enhance satellite retrieval of surface solar irradiance. [PDF]

Sci Rep
Roy A, Heinemann D, Schroedter-Homscheidt M, Lezaca Galeano JE.   +3 more
europepmc   +1 more source

Health opportunity inequality in middle-aged and older adult cardiovascular and cerebrovascular patients. [PDF]

Front Public Health
Hu G, Zhao H, Yu Z, Liu X.
europepmc   +1 more source

A hybrid machine learning approach for predicting the flexural strength of concrete reinforced with waste aluminium fibres. [PDF]

Sci Rep
Boursas F, Boufarh R, Altowaijri Y, Bakri M, Abderrahmani S.   +4 more
europepmc   +1 more source

Machine learning for prompt estimation of macroseismic intensity from seismometric data in Italy. [PDF]

Sci Rep
Patelli L, Cameletti M, De Rubeis V, Pino NA, Piromallo C, Sbarra P, Tosi P.   +6 more
europepmc   +1 more source

Justifying model complexity: Evaluating transfer learning against classical models for intraoperative nociception monitoring under anesthesia. [PDF]

PLoS One
Lee C, Lee J, Vogt KA, Munshi M.
europepmc   +1 more source

Prediction of lymph node metastasis in T1 colorectal cancer based on machine learning. [PDF]

PeerJ
Shi S, Li X, Li L, Zhong H, Wang R, Zhang Z, Liao C, Mao Y, Yang M, Yang Y.   +9 more
europepmc   +1 more source