Chemometrics and Intelligent Laboratory Systems

Article	Citations
A review on autoencoder based representation learning for fault detection and diagnosis in industrial processes	76
Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks	71
A tutorial on automatic hyperparameter tuning of deep spectral modelling for regression and classification tasks	69
A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in mango fruit	69
Comparison of zero replacement strategies for compositional data with large numbers of zeros	66
A hybrid ensemble-filter wrapper feature selection approach for medical data classification	62
A novel Covid-19 and pneumonia classification method based on F-transform	57
Efficacy of Transfer Learning-based ResNet models in Chest X-ray image classification for detecting COVID-19 Pneumonia	53
iAFPs-EnC-GA: Identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach	52
A novel approach for water quality classification based on the integration of deep learning and feature extraction techniques	47
Comparison of augmentation and pre-processing for deep learning and chemometric classification of infrared spectra	46
Quantitative predictions from chemical read-across and their confidence measures	43
Comparison of chemometrics and AOCS official methods for predicting the shelf life of edible oil	43
Prediction of f-CaO content in cement clinker: A novel prediction method based on LightGBM and Bayesian optimization	42
Partial least trimmed squares regression	41
QSAR study of unsymmetrical aromatic disulfides as potent avian SARS-CoV main protease inhibitors using quantum chemical descriptors and statistical methods	41
Realizing transfer learning for updating deep learning models of spectral data to be used in new scenarios	41
Investigation of transfer learning for image classification and impact on training sample size	41
Improving grasshopper optimization algorithm for hyperparameters estimation and feature selection in support vector regression	40
Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits	40
Quantum chemical descriptors in quantitative structure–activity relationship models and their applications	39
StackACPred: Prediction of anticancer peptides by integrating optimized multiple feature descriptors with stacked ensemble approach	38
ACP-2DCNN: Deep learning-based model for improving prediction of anticancer peptides using two-dimensional convolutional neural network	36
Incorporating convolutional neural networks and sequence graph transform for identifying multilabel protein Lysine PTM sites	35
Efficient tools for principal component analysis of complex data— a tutorial	35

2-hydr_Ensemble: Lysine 2-hydroxyisobutyrylation identification with ensemble method	35
Online detection of soluble solids content and maturity of tomatoes using Vis/NIR full transmittance spectra	34
Feature selection based on a crow search algorithm for big data classification	33
Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different maturation stages	31
Detection and classification of lung cancer computed tomography images using a novel improved deep belief network with Gabor filters	31
DeepMal: Accurate prediction of protein malonylation sites by deep neural networks	29
Data fusion of laser induced breakdown spectroscopy (LIBS) and infrared spectroscopy (IR) coupled with random forest (RF) for the classification and discrimination of compound salvia miltiorrhiza	29
Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques with X-ray images	29
Prediction of Antiviral peptides using transform evolutionary & SHAP analysis based descriptors by incorporation with ensemble learning strategy	28
A MATLAB toolbox for multivariate regression coupled with variable selection	27
An automated deep learning pipeline based on advanced optimisations for leveraging spectral classification modelling	26
Estimation of nitrogen content in cucumber plant (Cucumis sativus L.) leaves using hyperspectral imaging data with neural network and partial least squares regressions	26
Chemometrics in food science and technology: A bibliometric study	25
Near-infrared spectroscopy with chemometrics for identification and quantification of adulteration in high-quality stingless bee honey	25
Machine-learning-based similarity meets traditional QSAR: “q-RASAR” for the enhancement of the external predictivity and detection of prediction confidence outliers in an hERG toxicity dataset	24
Knowledge-based genetic algorithm for resolving the near-infrared spectrum and understanding the water structures in aqueous solution	24
Parallel pre-processing through orthogonalization (PORTO) and its application to near-infrared spectroscopy	23
Gene selection with Game Shapley Harris hawks optimizer for cancer classification	23
Efficient lipophilicity prediction of molecules employing deep-learning models	23
High-dimensional QSAR/QSPR classification modeling based on improving pigeon optimization algorithm	23
On the eccentricity matrix of graphs and its applications to the boiling point of hydrocarbons	23
RADIC:A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics	22
iEnhancer-RF: Identifying enhancers and their strength by enhanced feature representation using random forest	22
Authentication of edible oils using Fourier transform infrared spectroscopy and pattern recognition methods	21
Probabilistic machine learning based soft-sensors for product quality prediction in batch processes	21
PLS for classification	21
Correntropy long short term memory soft sensor for quality prediction in industrial polyethylene process	20
Detection and severity identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks	20
Optimization of ultrasound-assisted extraction of phenolic-saponin content from Carthamus caeruleus L. rhizome and predictive model based on support vector regression optimized by dragonfly algorithm	19
Multimodal process monitoring based on variational Bayesian PCA and Kullback-Leibler divergence between mixture models	19
MSroi: A pre-processing tool for mass spectrometry-based studies	19
Modeling data-driven sensor with a novel deep echo state network	19
Explainable predictive modeling for limited spectral data	19
Adversarial nets for baseline correction in spectra processing	19
Pep-CNN: An improved convolutional neural network for predicting therapeutic peptides	18
Deep learning-based protocols to enhance infrared imaging systems	18
Estimation of asphaltene adsorption on MgO nanoparticles using ensemble learning	18
QSRR modelling for the investigation of gas chromatography retention indices of flavour and fragrance compounds on Carbowax 20 ​M glass capillary column with the index of ideality of correlation and t	18
MVC1_GUI: A MATLAB graphical user interface for first-order multivariate calibration. An upgrade including artificial neural networks modelling	18
Quantitative analysis of soybean protein content by terahertz spectroscopy and chemometrics	18
Spider diagram and Analytical GREEnness metric approach for assessing the greenness of quantitative 1H-NMR determination of lamotrigine: Taguchi method based optimization	18
Deep reinforced neural network model for cyto-spectroscopic analysis of epigenetic markers for automated oral cancer risk prediction	18
A new hybrid feature selection based on Improved Equilibrium Optimization	17
Cage of covariance in calibration modeling: Regressing multiple and strongly correlated response variables onto a low rank subspace of explanatory variables	17
Adaptive design of experiments based on Gaussian mixture regression	17
Classifying COVID-19 based on amino acids encoding with machine learning algorithms	17
Discrimination and source correspondence of black gel inks using Raman spectroscopy and chemometric analysis with UMAP and PLS-DA	17
DMLDA-LocLIFT: Identification of multi-label protein subcellular localization using DMLDA dimensionality reduction and LIFT classifier	16
Anti-COVID-19 activity of some benzofused 1,2,3-triazolesulfonamide hybrids using in silico and in vitro analyses	16
kDeepBind: Prediction of RNA-Proteins binding sites using convolution neural network and k-gram features	16

Mixture robust semi-supervised probabilistic principal component regression with missing input data	16
DBP-DeepCNN: Prediction of DNA-binding proteins using wavelet-based denoising and deep learning	16
PLS regression algorithms in the presence of nonlinearity	16
Adaptive LASSO logistic regression based on particle swarm optimization for Alzheimer's disease early diagnosis	16
Pre-processing ensembles with response oriented sequential alternation calibration (PROSAC): A step towards ending the pre-processing search and optimization quest for near-infrared spectral modelling	15
Spectroscopic fingerprinting and chemometrics for the discrimination of Italian Emmer landraces	15
Detection of insect damaged rice grains using visible and near infrared hyperspectral imaging technique	15
Semi-supervised deep learning framework for milk analysis using NIR spectrometers	15
ATR-FTIR spectroscopy for the routine quality control of exosome isolations	15
Prediction of antibacterial activity in ionic liquids through FTIR spectroscopy with selection of wavenumber by PLS	14
Albatross R package to study PARAFAC components of DOM fluorescence from mixing zones of arctic shelf seas	14
Probing impact of molecular structure on bulk modulus and impact sensitivity of energetic materials by machine learning methods	14
Bayesian I-optimal designs for choice experiments with mixtures	14
Quantitative analysis of soil cadmium content based on the fusion of XRF and Vis-NIR data	14
Fabrication of a novel molecularly imprinted biosensor assisted by multi-way calibration for simultaneous determination of cholesterol and cholestanol in serum samples	14
Naive Bayes classification model for isotopologue detection in LC-HRMS data	14
PredAoDP: Accurate identification of antioxidant proteins by fusing different descriptors based on evolutionary information with support vector machine	14
Comparing CalReg performance with other multivariate methods for estimating selected soil properties from Moroccan agricultural regions using NIR spectroscopy	14
Visualization of statistically processed LC-MS-based metabolomics data for identifying significant features in a multiple-group comparison	13
Correcting replicate variation in spectroscopic data by machine learning and model-based pre-processing	13
Clustering-based hybrid feature selection approach for high dimensional microarray data	13
Extension and significance testing of Variable Importance in Projection (VIP) indices in Partial Least Squares regression and Principal Components Analysis	13
Improved prediction of soil properties with multi-target stacked generalisation on EDXRF spectra	13
Feature selection and regularization of interpretable soft sensors using evolutionary multi-objective optimization design procedures	13
Rock lithological instance classification by hyperspectral images using dimensionality reduction and deep learning	13
The detonation heat prediction of nitrogen-containing compounds based on quantitative structure-activity relationship (QSAR) combined with random forest (RF)	13
PA-PseU: An incremental passive-aggressive based method for identifying RNA pseudouridine sites via Chou’s 5-steps rule	13
Efficient linear profile schemes for monitoring bivariate correlated processes with applications in the pharmaceutical industry	12
Improving calibration of forensic glass comparisons by considering uncertainty in feature-based elemental data	12
Chemometric-assisted cocrystallization: supervised pattern recognition for predicting the formation of new functional cocrystals	12
Identification of Food Compounds as inhibitors of SARS-CoV-2 main protease using molecular docking and molecular dynamics simulations	12
A novel, non-invasive, multi-purpose and comprehensive method to date inks in real handwritten documents based on the monitoring of the dye ageing processes	12
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor	12
Accelerating PARAFAC2 algorithms for non-negative complex tensor decomposition	12
iDBP-PBMD: A machine learning model for detection of DNA-binding proteins by extending compression techniques into evolutionary profile	12
Evaluation of a robust regression method (RoBoost-PLSR) to predict biochemical variables for agronomic applications: Case study of grape berry maturity monitoring	12
The development of nano-QSPR models for viscosity of nanofluids using the index of ideality of correlation and the correlation intensity index	11
Statistical analysis of randomized pseudo-first/second order kinetic models. Application to study the adsorption on cadmium ions onto tree fern	11
Evaluation of the potential of near infrared hyperspectral imaging for monitoring the invasive brown marmorated stink bug	11
A calibrant-free drift compensation method for gas sensor arrays	11
Deep-PCL: A deep learning model for prediction of cancerlectins and non cancerlectins using optimized integrated features	11
Dynamic Bayesian networks for temporal prediction of chemical radioisotope levels in nuclear power plant reactors	11
Dehydration as a Tool to improve predictability of sugarcane juice carbohydrates using near-infrared spectroscopy based PLS models	11
Skin lesion detection based on deep neural networks	11
DeepnsSNPs: Accurate prediction of non-synonymous single-nucleotide polymorphisms by combining multi-scale convolutional neural network and residue environment information	11
A generic workflow combining deep learning and chemometrics for processing close-range spectral images to detect drought stress in Arabidopsis thaliana to support digital phenotyping	11
A convolution neural network-based computational model to identify the occurrence sites of various RNA modifications by fusing varied features	11
Combining class-modelling and discriminant methods for improvement of products authentication	11
Federated auto-encoder and XGBoost schemes for multi-omics cancer detection in distributed fog computing paradigm	11
Deep neural networks in profiling of apple juice adulteration based on voltammetric signal of the iridium quadruple-disk electrode	11
A robust semantic lung segmentation study for CNN-based COVID-19 diagnosis	11
Application of artificial neural networks to the prediction of antifungal activity of imidazole derivatives against Candida albicans	11
PyES – An open-source software for the computation of solution and precipitation equilibria	11
GAN meets chemometrics: Segmenting spectral images with pixel2pixel image translation with conditional generative adversarial networks	11
Self-validated ensemble models for design of experiments	10
An uncertainty sampling strategy based model updating method for soluble solid content and firmness prediction of apples from different years	10
A geometric deep learning model for display and prediction of potential drug-virus interactions against SARS-CoV-2	10
Evaluation of a novel computer dye recipe prediction method based on the PSO-LSSVM models and single reactive dye database	10
A key review on graph data science: The power of graphs in scientific studies	10
Pollution parameters evaluation of wastewater collected at different treatment stages from wastewater treatment plant based on E-nose and E-tongue systems combined with chemometric techniques	10
An unsupervised gene selection method based on multivariate normalized mutual information of genes	10
Robust probabilistic principal component regression with switching mixture Gaussian noise for soft sensing	10
Quantitative NIR spectroscopy for determination of degree of polymerisation of historical paper	10
Engagement of chemometrics and analytical electrochemistry for clinical purposes: A review	10
Applying chemometric procedures for correlation the FTIR spectroscopy with the new thermometric evaluation of Total Acid Number and Total Basic Number in engine oils	10
A note on neighborhood first Zagreb energy and its significance as a molecular descriptor	10
Real-time discriminant analysis in the presence of label and measurement noise	10
Prediction of asphaltene stability in crude oils using machine learning algorithms	9
Bottom-up and top-down uncertainty quantification for measurements	9
A recursive ensemble-based feature selection for multi-output models to discover patterns among the soil nutrients	9
A new approach using the genetic algorithm for parameter estimation in multiple linear regression with long-tailed symmetric distributed error terms: An application to the Covid-19 data	9
Discrimination of the pollution grade of metal elements in atmospherically deposited particulate matter via laser-induced breakdown spectroscopy combined with machine learning method	9
Estimating the boundaries of the feasible profiles in the bilinear decomposition of multi-component data matrices	9
Classification of cow diet based on milk Mid Infrared Spectra: A data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2022”	9
A deep learning-based computational approach for discrimination of DNA N6-methyladenosine sites by fusing heterogeneous features	9
Quality-related fault monitoring for multi-phase batch process based on multiway weighted elastic network	9
Deep adversarial data augmentation for biomedical spectroscopy: Application to modelling Raman spectra of bone	9
Automatic neural network hyperparameter optimization for extrapolation: Lessons learned from visible and near-infrared spectroscopy of mango fruit	9
An upgrade of MVC2, a MATLAB graphical user interface for second-order multivariate calibration: Beyond trilinear models	9
MaskDNA-PGD: An innovative deep learning model for detecting DNA methylation by integrating mask sequences and adversarial PGD training as a data augmentation method	9

Mid infrared spectroscopy and milk quality traits: A data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2021”	9
Peak deconvolution with significant noise suppression and stability using a facile numerical approach in Fourier space	9
An intelligent approach based on hybrid of principal component analysis-fuzzy inference system-adaptive neuro-fuzzy inference system for the simultaneous spectrophotometric determination of sofosbuvir	9
Incipient fault detection benefited from voting fusion strategy on analysis of process variation	9
InterSSPP: Investigating patterns through interpretable deep neural networks for accurate splice signal prediction	9
Getting to the core of PARAFAC2, a nonnegative approach	9
Machine learning concepts and its applications for prediction of diseases based on drug behaviour: An extensive review	9
MpsLDA-ProSVM: Predicting multi-label protein subcellular localization by wMLDAe dimensionality reduction and ProSVM classifier	9
RKPCA-based approach for fault detection in large scale systems using variogram method	9
Characterization of uncertainties and model generalizability for convolutional neural network predictions of uranium ore concentrate morphology	9
GAMB-GNN: Graph Neural Networks learning from gene structure relations and Markov Blanket ranking for cancer classification in microarray data	9
Comparative analysis of the existing methods for prediction of antifreeze proteins	9
Just-in-time updating soft sensor model of endpoint carbon content and temperature in BOF steelmaking based on deep residual supervised autoencoder	8
Simultaneous class-modelling in chemometrics: A generalization of Partial Least Squares class modelling for more than two classes by using error correcting output code matrices	8
RoBoost-PLS2-R: An extension of RoBoost-PLSR method for multi-response	8
Can NMR spectroscopy discriminate between NPS amphetamines and cathinones? An evaluation by in silico studies and chemometrics	8
Optimal designs for Antoine Equation	8
Dynamic Non-Gaussian hybrid serial modeling for industrial process monitoring	8
Biofluid analysis and classification using IR and 2D-IR spectroscopy	8
A recursively updated Map-Reduce based PCA for monitoring the time-varying fluorochemical engineering processes with big data	8
Novel multivariate q-sigma rule focusing on process variation for incipient fault detection in dynamic processes	8
Designing bulk metallic glasses materials with higher reduced glass transition temperature via machine learning	8
A novel regression method: Partial least distance square regression methodology	8
Hyperspectral polarization-compressed imaging and reconstruction with sparse basis optimized by particle swarm optimization	8
Quantitative detection of azodicarbonamide in wheat flour by near-infrared spectroscopy based on two-step feature selection	8
Prediction of sulfur content in diesel fuel using fluorescence spectroscopy and a hybrid ant colony - Tabu Search algorithm with polynomial bases expansion	8
Structure features of peptide-type SARS-CoV main protease inhibitors: Quantitative structure activity relationship study	8
Bayesian predictive optimization of multiple and profile response systems in the process industry: A review and extensions	8
Smart spectrophotometric methods for enhancement spectral resolution and rapid simultaneous determination of dapoxetine and sildenafil in commercial tablets using fuzzy inference system and continuous	8
Resolution enhancement of angular plasmonic biochemical sensors via optimizing centroid algorithm	8
CT-GUI: A graphical user interface to perform calibration transfer for multivariate calibrations	8
A hybrid deep convolutional neural network-based electronic nose for pollution detection purposes	8
NMVI: A data-splitting based imputation technique for distinct types of missing data	8
PARAFAC2 and local minima	8
PLS and kernel SVM based hybrid classifier for discriminating FTIR spectrum data with limited sample size	8
Qualitative and quantitative analysis of terahertz gas-phase spectroscopy using independent component analysis	8
Alzheimer's disease prediction based on continuous feature representation using multi-omics data integration	8
Ridge regression coupled with a new uninformative variable elimination algorithm as a new descriptor screening method: Application of data reduction in QSAR study of some sulfonated derivatives as c-M	7
A novel triple templates molecularly imprinted biosensor assisted by second-order calibration methods based on generation of second-order hydrodynamic linear sweep voltammetric data for simultaneous b	7
Application of improved Stacking ensemble learning in NIR spectral modeling of corn seed germination rate	7
All sparse PCA models are wrong, but some are useful. Part II: Limitations and problems of deflation	7
Chemometric approach towards optimization on the radiolytic removal of micropollutants: Equation based modelling with canonical and ridge analysis	7
In silico prediction of fragrance retention grades for monomer flavors using QSPR models	7
Avoiding misleading predictions in fluorescence-based soft sensors using autoencoders	7
A conjunction of sn-2 fatty acids and overall fatty acid composition combined with chemometric techniques increase the effectiveness of lard detection in fish feed	7
Simultaneous variable selection for the classification of near infrared spectra	7
A combined classification modeling strategy for detection and identification of extra virgin olive oil adulteration using Raman spectroscopy	7
The trilinear constraint adapted to solve data with strong patterns of outlying observations or missing values	7
Pheomelanin subunit non-destructive quantification by Raman spectroscopy and multivariate curve resolution-alternating least squares (MCR-ALS)	7
MFRAG: Multi-Fitness RankAggreg Genetic Algorithm for biomarker selection from microarray data	7
Hierarchical method and hyperspectral images for classification of blood stains on colored and printed fabrics	7
A diagnosis model of soybean leaf diseases based on improved residual neural network	7
Application of iterative distance correlation and PLS for wavelength interval selection in near infrared spectroscopy	7
End-point determination of the extraction processes for Stevia rebaudiana Bertoni leaves by near-infrared spectroscopy	7
m7G-DLSTM: Intergrating directional Double-LSTM and fully connected network for RNA N7-methlguanosine sites prediction in human	7
Improving the sensitivity of statistical process monitoring of manifolds embedded in high-dimensional spaces: The truncated-Q statistic	7
Extended Gaussian mixture regression for forward and inverse analysis	7
A short note on achieving similar performance to deep learning with practical chemometrics	7
Machine learning-based q-RASAR approach for the in silico identification of novel multi-target inhibitors against Alzheimer's disease	7
A deep learning method combined with an electronic nose for gas information identification of soybean from different origins	6
Direct non-trilinear decomposition for analyzing high-dimensional data with imperfect trilinearity	6
Effective prediction of drug – target interaction on HIV using deep graph neural networks	6
A bidirectional dictionary LASSO regression method for online water quality detection in wastewater treatment plants	6
Toward automated machine learning in vibrational spectroscopy: Use and settings of genetic algorithms for pre-processing and regression optimization	6
Smart optimization with PPCR modeling in the presence of missing data, time delay and model-plant mismatch	6
Soft sensing of calcination zone temperature of lime rotary kiln based on principal component analysis and stochastic configuration networks	6
Improved understanding and prediction of pear fruit firmness with variation partitioning and sequential multi-block modelling	6
Development of a non-targeted approach using three handheld spectrometers combined with ensemble classifiers for authentication of bovine milk	6
Multi-target QSAR modeling for the identification of novel inhibitors against Alzheimer's disease	6
Selecting relevant wavelength intervals for PLS calibration based on absorbance interquartile ranges	6
Process abnormity identification by fuzzy logic rules and expert estimated thresholds derived certainty factor	6
Discrimination of molecular subtypes of breast cancer with ATR-FTIR spectroscopy in blood plasma coupled with partial least square-artificial neural network discriminant analysis (PLS-ANNDA)	6
Comparing data driven soft independent class analogy (DD-SIMCA) and one class partial least square (OC-PLS) to authenticate sacha inchi (Plukenetia volubilis L.) oil using portable NIR spectrometer	6
Deep Tutti Frutti: Exploring CNN architectures for dry matter prediction in fruit from multi-fruit near-infrared spectra	6
Simultaneous measurement of chemical oxygen demand and turbidity in water based on broad optical spectra using backpropagation neural network	6
Integration of near-infrared spectroscopy and aquaphotomics for discrimination of cultured cancerous cells using phenol red	6
Multimodal multisample spectroscopic imaging analysis of tumor tissues using multivariate curve resolution	6
EasyCID: Make component identification easy in Raman spectroscopy	6
A piecewise mirror extension local mean decomposition method for denoising of near-infrared spectra with uneven noise	6
Analysis and control of the paper moisture content variability by using fuzzy and traditional individual control charts	6
Intelligent and robust computational prediction model for DNA N4-methylcytosine sites via natural language processing	6
Artificial neural network and multivariate calibration methods assisted UV spectrophotometric technique for the simultaneous determination of metformin and Pioglitazone in anti-diabetic tablet dosage	6
Quantitative analysis of heavy metals in soil by X-ray fluorescence with improved variable selection strategy and bayesian optimized support vector regression	6
Multi-algorithm based machine learning and structural pattern studies for hERG ion channel blockers mediated cardiotoxicity prediction	6
Estimating the covariance matrix of the coefficient estimator in multivariate partial least squares regression with chemical applications	6
Bayesian global-local shrinkage methods for regularisation in the high dimension linear model	6
Chemometrics web app part 1: Data handling	6
Domain invariant covariate selection (Di-CovSel) for selecting generalized features across domains	6
Transductive transfer broad learning for cross-domain information exploration and multigrade soft sensor application	6
Nonlocal, local and global preserving stacked autoencoder based fault detection method for nonlinear process monitoring	6
Comparison of a novel PLS1-DA, traditional PLS2-DA and assigned PLS1-DA for classification by molecular spectroscopy	6
Improving Amphetamine-type Stimulants drug classification using chaotic-based time-varying binary whale optimization algorithm	6
One step calibration of industrial hyperspectral cameras	6
Supervised feature selection on gene expression microarray datasets using manifold learning	6
An intelligent feature selection method using binary teaching-learning based optimization algorithm and ANN	6