Results 101 to 110 of about 970,726 (170)

NOTE: non-parametric oversampling technique for explainable credit scoring. [PDF]

Sci Rep
Han S, Jung H, Yoo PD, Provetti A, Cali A.   +4 more
europepmc   +1 more source

Efficient non-parametric estimation of variable productivity Hawkes processes. [PDF]

J Appl Stat
Phillips S, Schoenberg F.
europepmc   +1 more source

Non parametric differential network analysis: a tool for unveiling specific molecular signatures. [PDF]

BMC Bioinformatics
Guzzi PH, Roy A, Milano M, Veltri P.
europepmc   +1 more source

Adaptive non-parametric kernel density estimation for under-frequency load shedding with electric vehicles and renewable power uncertainty. [PDF]

Sci Rep
Renhai F, Khan W, Tariq A, Abbas M, Yousaf MZ, Aziz A, Bajaj M, Abdullah M, Tuka M.   +8 more
europepmc   +1 more source

Spatial non-parametric Bayesian clustered coefficients. [PDF]

Sci Rep
Areed WD, Price A, Thompson H, Malseed R, Mengersen K.   +4 more
europepmc   +1 more source

Non-parametric spatiotemporal trends in fire: An approach to identify fire regimes variations and predict seasonal effects of fire in Iran. [PDF]

PLoS One
Karami P, Tavakoli S.
europepmc   +1 more source

Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment. [PDF]

Med Biol Eng Comput
Levital MF, Khawaled S, Kennedy JA, Freiman M.   +3 more
europepmc   +1 more source

Short-term forecasting of solar irradiance using decision tree-based models and non-parametric quantile regression. [PDF]

PLoS One
Masache A, Mdlongwa P, Maposa D, Sigauke C.   +3 more
europepmc   +1 more source

Effects of Transcutaneous Electroacupuncture Stimulation (TEAS) on Eyeblink, EEG, and Heart Rate Variability (HRV): A Non-Parametric Statistical Study Investigating the Potential of TEAS to Modulate Physiological Markers. [PDF]

Sensors (Basel)
Mayor D, Steffert T, Steinfath P, Watson T, Spencer N, Banks D.   +5 more
europepmc   +1 more source