| Ensemble deep kernel learning with application to quality prediction in industrial polymerization processes |
42 |
| libPLS: An integrated library for partial least squares regression and linear discriminant analysis |
33 |
| Just-in-time semi-supervised soft sensor for quality prediction in industrial rubber mixers |
21 |
| Multivariate comparison of classification performance measures |
20 |
| LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion |
20 |
| Modeling of simultaneous adsorption of dye and metal ion by sawdust from aqueous solution using of ANN and ANFIS |
17 |
| Hybrid binary Coral Reefs Optimization algorithm with Simulated Annealing for Feature Selection in high-dimensional biomedical datasets |
17 |
| Application of response surface methodology for chromium removal by adsorption on low-cost biosorbent |
16 |
| Identification of hindered internal rotational mode for complex chemical species: A data mining approach with multivariate logistic regression model |
16 |
| Modern practical convolutional neural networks for multivariate regression: Applications to NIR calibration |
16 |
| On a partial least squares regression model for asymmetric data with a chemical application in mining |
16 |
| iN6-Methyl (5-step): Identifying RNA N6-methyladenosine sites using deep learning mode via Chou's 5-step rules and Chou's general PseKNC |
15 |
| iDNA6mA (5-step rule): Identification of DNA N6-methyladenine sites in the rice genome by intelligent computational model via Chou's 5-step rule |
15 |
| Birnbaum-Saunders spatial regression models: Diagnostics and application to chemical data |
15 |
| Data-driven monitoring of multimode continuous processes: A review |
14 |
| Designing of Run Rules t control charts for monitoring changes in the process mean |
13 |
| Detecting and classifying minor bruised potato based on hyperspectral imaging |
12 |
| Support vector machine with truncated pinball loss and its application in pattern recognition |
12 |
| Fault detection based on time series modeling and multivariate statistical process control |
12 |
| UbiSitePred: A novel method for improving the accuracy of ubiquitination sites prediction by using LASSO to select the optimal Chou's pseudo components |
12 |
| HYPER-Tools. A graphical user-friendly interface for hyperspectral image analysis |
11 |
| Developing a four-dimensional voltammetry as a powerful electroanalytical methodology for simultaneous determination of three colorants in the presence of an uncalibrated interference |
10 |
| Quantitative analysis modeling of infrared spectroscopy based on ensemble convolutional neural networks |
10 |
| Intelligent computational method for discrimination of anticancer peptides by incorporating sequential and evolutionary profiles information |
10 |
| A novel intelligent modeling framework integrating convolutional neural network with an adaptive time-series window and its application to industrial process operational optimization |
10 |
| Ensemble just-in-time learning framework through evolutionary multi-objective optimization for soft sensor development of nonlinear industrial processes |
10 |
| A selective review and comparison for interval variable selection in spectroscopic modeling |
10 |
| Neural component analysis for fault detection |
10 |
| Optimal design of the synthetic control chart for monitoring the multivariate coefficient of variation |
9 |
| Domain adaptation transfer learning soft sensor for product quality prediction |
9 |
| Feature selection using particle swarm optimization-based logistic regression model |
9 |
| DBPPred-PDSD: Machine learning approach for prediction of DNA-binding proteins using Discrete Wavelet Transform and optimized integrated features space |
9 |
| Nonlinear fault detection of batch processes based on functional kernel locality preserving projections |
9 |
| Deep-learning-based regression model and hyperspectral imaging for rapid detection of nitrogen concentration in oilseed rape (Brassica napus L.) leaf |
9 |
| Robust and sparse estimation methods for high-dimensional linear and logistic regression |
9 |
| Prediction of bacteriophage proteins located in the host cell using hybrid features |
8 |
| A new strategy of least absolute shrinkage and selection operator coupled with sampling error profile analysis for wavelength selection |
8 |
| simsMVA: A tool for multivariate analysis of ToF-SIMS datasets |
8 |
| Multi-class classification method using twin support vector machines with multi-information for steel surface defects |
8 |
| iSS-CNN: Identifying splicing sites using convolution neural network |
8 |
| Investigation of the photodegradation profile of tamoxifen using spectroscopic and chromatographic analysis and multivariate curve resolution |
7 |
| Hybrid independent component analysis (H-ICA) with simultaneous analysis of high-order and second-order statistics for industrial process monitoring |
7 |
| A two-stage gene selection method for biomarker discovery from microarray data for cancer classification |
7 |
| The Sequential Multi-block PLS algorithm (SMB-PLS): Comparison of performance and interpretability |
6 |
| A conceptual view to the area correlation constraint in multivariate curve resolution |
6 |
| iRSpot-SPI: Deep learning-based recombination spots prediction by incorporating secondary sequence information coupled with physio-chemical properties via Chou's 5-step rule and pseudo components |
6 |
| MVC3_GUI: A MATLAB graphical user interface for third-order multivariate calibration. An upgrade including new multi-way models |
6 |
| A combination strategy of random forest and back propagation network for variable selection in spectral calibration |
6 |
| A novel variable selection method based on stability and variable permutation for multivariate calibration |
6 |
| Estimation of 2D autocorrelation descriptors and 2D Monte Carlo descriptors as a tool to build up predictive models for acetylcholinesterase (AChE) inhibitory activity |
6 |
