IEEE

A Meta-learning-based Method for Dynamic Selection of Combination Methods in Classifier Ensembles

Abstract: Several methods to enhance the efficiency of classifier ensembles have been proposed in the literature, applicable to both homogeneous and heterogeneous ensemble structures, mainly related ...
Scientific Research Publishing

Virtanen, P., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., et al. (2020) SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...
GitHub

A python package that includes many methods for decoding neural activity

The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...
ebm.bmj

Evaluating the performance of maternal risk factors in predicting gestational diabetes mellitus: a systematic review and meta-analysis

Objective To systematically consolidate the most consistently applicable risk factors and assess their predictive performance for gestational diabetes mellitus (GDM) prediction. Design Systematic ...
IEEE

A Detection Method for Weak Signal Defects in SWRs Based on the Combination of Optimal Coil Sensor Design and Weak Signal Processing

Abstract: Magnetic flux leakage (MFL) detection technology is often used for the inspection of steel wire ropes (SWRs). Due to the weak leakage magnetic field (LMF), weak signal defects are often ...