A new method of diesel fuel brands identification: SMOTE oversampling combined with XGBoost ensemble learning

Determination of physicochemical properties of petroleum derivatives and biodiesel using GC/MS and chemometric methods with uncertainty estimation

(2019) Werickson Fortunado de Carvalho Rocha et al.   FUEL

Identifying N6-methyladenosine sites using extreme gradient boosting system optimized by particle swarm optimizer

(2019) Xiaowei Zhao et al.   JOURNAL OF THEORETICAL BIOLOGY

Combining Principal Component Analysis, Discrete Wavelet Transform and XGBoost to trade in the financial markets

(2019) João Nobre et al.   EXPERT SYSTEMS WITH APPLICATIONS

Near infrared (NIR) spectroscopy-based classification for the authentication of Darjeeling black tea

(2019) Patrizia Firmani et al.   FOOD CONTROL

Cervical Cancer Identification with Synthetic Minority Oversampling Technique and PCA Analysis using Random Forest Classifier

(2019) R. Geetha et al.   JOURNAL OF MEDICAL SYSTEMS

The distinguishing intrinsic brain circuitry in treatment-naïve first-episode schizophrenia: Ensemble learning classification

(2019) Shaoqiang Han et al.   NEUROCOMPUTING

On-line vis-NIR spectroscopy prediction of soil organic carbon using machine learning

(2019) S. Nawar et al.   SOIL & TILLAGE RESEARCH

Multi-criteria comprehensive study on predictive algorithm of hourly heating energy consumption for residential buildings

(2019) Ran Wang et al.   Sustainable Cities and Society

A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market

(2019) Shangkun Deng et al.   APPLIED SOFT COMPUTING

Multivariate regression models obtained from near-infrared spectroscopy data for prediction of the physical properties of biodiesel and its blends

(2019) Camilla L. Cunha et al.   FUEL

Gasoline and diesel demand in the EU: Implications for the 2030 emission goal

(2019) Abenezer Zeleke Aklilu   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

(2018) Arno De Caigny et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Ensemble learning: A survey

(2018) Omer Sagi et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China

(2018) Junliang Fan et al.   AGRICULTURAL AND FOREST METEOROLOGY

Rapid determination of soil classes in soil profiles using vis-NIR spectroscopy and multiple objectives mixed support vector classification

(2018) S. Chen et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Prediction of weld bead geometry of MAG welding based on XGBoost algorithm

(2018) Kai Chen et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Online prediction of biomass moisture content in a fluidized bed dryer using electrostatic sensor arrays and the Random Forest method

(2018) Wenbiao Zhang et al.   FUEL

Polyoxymethylene dimethyl ethers as clean diesel additives: Fuel freezing and prediction

(2018) Dan Wang et al.   FUEL

Symptom severity classification with gradient tree boosting

(2017) Yang Liu et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Synthetic minority oversampling technique for multiclass imbalance problems

(2017) Tuanfei Zhu et al.   PATTERN RECOGNITION

Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach

(2017) Xiqun (Michael) Chen et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Towards a comprehensive understanding of the influence of fuel properties on the combustion characteristics of a RCCI (reactivity controlled compression ignition) engine

(2016) Yaopeng Li et al.   ENERGY

Experimental study on fuel economies and emissions of direct-injection premixed combustion engine fueled with gasoline/diesel blends

(2015) Jiakun Du et al.   ENERGY CONVERSION AND MANAGEMENT

Analytical Figures of Merit: From Univariate to Multiway Calibration

(2014) Alejandro C. Olivieri   CHEMICAL REVIEWS

Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks

(2013) Dewan Md. Farid et al.   EXPERT SYSTEMS WITH APPLICATIONS

Classification and individualization of used engine oils using elemental composition and discriminant analysis

(2013) Yuna Kim et al.   FORENSIC SCIENCE INTERNATIONAL

Application of linear/non-linear classification algorithms in discrimination of pork storage time using Fourier transform near infrared (FT-NIR) spectroscopy

(2011) Quansheng Chen et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Near-infrared (NIR) spectroscopy for motor oil classification: From discriminant analysis to support vector machines

(2010) Roman M. Balabin et al.   MICROCHEMICAL JOURNAL

Overview of High-Temperature Fischer−Tropsch Gasoline and Diesel Quality

(2009) Bukirwa Irene Kamara et al.   ENERGY & FUELS