| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A calibration transfer methodology for Standardization of Raman instruments with different spectral resolutions using Double Digital Projection Slit
|
Li, Qifeng
|
|
2019
|
191 |
C |
p. 143-147
|
artikel
|
| 2 |
A novel approach for FNLP with piecewise linear membership functions
|
Wen, Bo
|
|
2019
|
191 |
C |
p. 88-95
|
artikel
|
| 3 |
Application of hierarchical classification models and reliability estimation by bootstrapping, for authentication and discrimination of wine vinegars by UV–vis spectroscopy
|
Ríos-Reina, R.
|
|
2019
|
191 |
C |
p. 42-53
|
artikel
|
| 4 |
Collaboration patterns and network in chemometrics
|
Li, Chuan-Quan
|
|
2019
|
191 |
C |
p. 21-29
|
artikel
|
| 5 |
Complex chemical process operation evaluations using a novel analytic hierarchy process model integrating deep residual network with principal component analysis
|
Wang, Yongjian
|
|
2019
|
191 |
C |
p. 118-128
|
artikel
|
| 6 |
Computer-aided design of polymeric materials: Computational study for characterization of databases for prediction of mechanical properties under polydispersity
|
Cravero, Fiorella
|
|
2019
|
191 |
C |
p. 65-72
|
artikel
|
| 7 |
Deep Ranking Analysis by Power Eigenvectors (DRAPE): A wizard for ranking and multi-criteria decision making
|
Todeschini, Roberto
|
|
2019
|
191 |
C |
p. 129-137
|
artikel
|
| 8 |
Editorial Board
|
|
|
2019
|
191 |
C |
p. ii
|
artikel
|
| 9 |
Feature selection based convolutional neural network pruning and its application in calibration modeling for NIR spectroscopy
|
Chen, Yuan-yuan
|
|
2019
|
191 |
C |
p. 103-108
|
artikel
|
| 10 |
Identification of robust Gaussian Process Regression with noisy input using EM algorithm
|
Daemi, Atefeh
|
|
2019
|
191 |
C |
p. 1-11
|
artikel
|
| 11 |
iLys-Khib: Identify lysine 2-Hydroxyisobutyrylation sites using mRMR feature selection and fuzzy SVM algorithm
|
Ju, Zhe
|
|
2019
|
191 |
C |
p. 96-102
|
artikel
|
| 12 |
Improvement of predictive accuracy in semi-supervised regression analysis by selecting unlabeled chemical structures
|
Kanno, Yasuhiro
|
|
2019
|
191 |
C |
p. 82-87
|
artikel
|
| 13 |
LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion
|
Chen, Cheng
|
|
2019
|
191 |
C |
p. 54-64
|
artikel
|
| 14 |
MARS 2: A computational tool to resolve and extract features from large-scale GC-MS datasets
|
Ma, Pan
|
|
2019
|
191 |
C |
p. 12-20
|
artikel
|
| 15 |
Online learning based Fisher discriminant analysis and its application for fault classification in industrial processes
|
Liu, Jun
|
|
2019
|
191 |
C |
p. 30-41
|
artikel
|
| 16 |
Optical detection of contamination event in water distribution system using online Bayesian method with UV–Vis spectrometry
|
Wang, Ke
|
|
2019
|
191 |
C |
p. 168-174
|
artikel
|
| 17 |
Output relevant slow feature extraction using partial least squares
|
Chiplunkar, Ranjith
|
|
2019
|
191 |
C |
p. 148-157
|
artikel
|
| 18 |
Probabilistic neural network-based classifier of ToF-SIMS single-pixel spectra
|
Tuccitto, Nunzio
|
|
2019
|
191 |
C |
p. 138-142
|
artikel
|
| 19 |
Ridge regression with self - Paced learning algorithm in interpretation of voltammetric signals
|
Górski, Łukasz
|
|
2019
|
191 |
C |
p. 73-81
|
artikel
|
| 20 |
Variable selection by double competitive adaptive reweighted sampling for calibration transfer of near infrared spectra
|
Zheng, Kaiyi
|
|
2019
|
191 |
C |
p. 109-117
|
artikel
|
| 21 |
Window optimisation PMSC–PLS with applications to NIR spectroscopic analyses
|
Lei, Fenfen
|
|
2019
|
191 |
C |
p. 158-167
|
artikel
|
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