nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A comparison between subset selection and L1 regularisation with an application in spectroscopy
|
Guo, Yi |
|
|
118 |
C |
p. 127-138 |
artikel |
2 |
A comprehensive classification of wood from thermogravimetric curves
|
Francisco-Fernández, Mario |
|
|
118 |
C |
p. 159-172 |
artikel |
3 |
Advanced chemometric algorithm coupled to subspace projection technique between original and pseudo samples: A snapshot of chemical rank estimation for high-order data
|
Nie, Jin-Fang |
|
|
118 |
C |
p. 211-218 |
artikel |
4 |
A graphical user interface for variable selection employing the Successive Projections Algorithm
|
Paiva, Henrique Mohallem |
|
|
118 |
C |
p. 260-266 |
artikel |
5 |
A MATLAB toolbox for Self Organizing Maps and supervised neural network learning strategies
|
Ballabio, Davide |
|
|
118 |
C |
p. 24-32 |
artikel |
6 |
An efficient method for signal improvement in near-infrared spectroscopy measurements during calibration and validation processes
|
Abookasis, David |
|
|
118 |
C |
p. 239-245 |
artikel |
7 |
A new approach to estimate variable contributions to Hotelling's statistic
|
Cedeño Viteri, Marco V. |
|
|
118 |
C |
p. 120-126 |
artikel |
8 |
A novel local neighborhood standardization strategy and its application in fault detection of multimode processes
|
Ma, Hehe |
|
|
118 |
C |
p. 287-300 |
artikel |
9 |
A review of variable selection methods in Partial Least Squares Regression
|
Mehmood, Tahir |
|
|
118 |
C |
p. 62-69 |
artikel |
10 |
Characterizing odorous emissions using new software for identifying peaks in chemometric models of gas chromatography–mass spectrometry datasets
|
Murphy, Kathleen R. |
|
|
118 |
C |
p. 41-50 |
artikel |
11 |
Chemometrics analysis of insulin aggregation induced by an antiretroviral drug (AZT)
|
Martí-Aluja, Idoia |
|
|
118 |
C |
p. 180-186 |
artikel |
12 |
Comments on Multiple Self Organising Maps (mSOMs) for simultaneous classification and prediction: Illustrated by spoilage in apples using volatile organic profiles by S.F. Sim and V. Sági-Kiss
|
Brereton, Richard G. |
|
|
118 |
C |
p. 308-310 |
artikel |
13 |
CORAL: Quantitative models for estimating bioconcentration factor of organic compounds
|
Toropova, Alla P. |
|
|
118 |
C |
p. 70-73 |
artikel |
14 |
Degrees of freedom estimation in Principal Component Analysis and Consensus Principal Component Analysis
|
Hassani, Sahar |
|
|
118 |
C |
p. 246-259 |
artikel |
15 |
Dynamical process monitoring using dynamical hierarchical kernel partial least squares
|
Zhang, Yingwei |
|
|
118 |
C |
p. 150-158 |
artikel |
16 |
Editorial Board
|
|
|
|
118 |
C |
p. IFC |
artikel |
17 |
Fatty acid metabolic profiles and biomarker discovery for type 2 diabetes mellitus using graphical index of separation combined with principal component analysis and partial least squares-discriminant analysis
|
Xu, Wenjuan |
|
|
118 |
C |
p. 173-179 |
artikel |
18 |
Input variable selection for PLS modeling using nearest correlation spectral clustering
|
Fujiwara, Koichi |
|
|
118 |
C |
p. 109-119 |
artikel |
19 |
In silico identification of human pregnane X receptor activators from molecular descriptors by machine learning approaches
|
Rao, Hanbing |
|
|
118 |
C |
p. 271-279 |
artikel |
20 |
Introduction of r m 2 (rank) metric incorporating rank-order predictions as an additional tool for validation of QSAR/QSPR models
|
Roy, Kunal |
|
|
118 |
C |
p. 200-210 |
artikel |
21 |
Linking GC-MS and PTR-TOF-MS fingerprints of food samples
|
Cappellin, Luca |
|
|
118 |
C |
p. 301-307 |
artikel |
22 |
Maximum Likelihood Principal Component Analysis as initial projection step in Multivariate Curve Resolution analysis of noisy data
|
Dadashi, Mahsa |
|
|
118 |
C |
p. 33-40 |
artikel |
23 |
Modeling physical and toxicity endpoints of alkyl (1-phenylsulfonyl) cycloalkane-carboxylates using the Ordered Predictors Selection (OPS) for variable selection and descriptors derived with SMILES
|
de Melo, Eduardo Borges |
|
|
118 |
C |
p. 79-87 |
artikel |
24 |
Multispectral data classification using similarity factors
|
Ottavian, Matteo |
|
|
118 |
C |
p. 13-23 |
artikel |
25 |
Multivariate curve resolution of nonlinear ion mobility spectra followed by multivariate nonlinear calibration for quantitative prediction
|
Pomareda, Víctor |
|
|
118 |
C |
p. 219-229 |
artikel |
26 |
Nonlinear visualisation and pixel-based alignment of 2D electrophoresis images
|
Nhek, S. |
|
|
118 |
C |
p. 97-108 |
artikel |
27 |
Non-negative principal component analysis for NMR-based metabolomic data analysis
|
Deng, Lingli |
|
|
118 |
C |
p. 51-61 |
artikel |
28 |
OnPLS path modelling
|
Löfstedt, Tommy |
|
|
118 |
C |
p. 139-149 |
artikel |
29 |
Optimization of preparation conditions for activated carbon from waste materials of agricultural origin for the removal of basic red 46
|
Boumaza, Salim |
|
|
118 |
C |
p. 311-316 |
artikel |
30 |
Prediction of glycerol removal from biodiesel using ammonium and phosphunium based deep eutectic solvents using artificial intelligence techniques
|
Shahbaz, Kaveh |
|
|
118 |
C |
p. 193-199 |
artikel |
31 |
QSAR model for chemical penetration enhancers containing long hydrocarbon chain
|
Kalhapure, Rahul S. |
|
|
118 |
C |
p. 267-270 |
artikel |
32 |
Simultaneous analysis of bifenthrin and tetramethrin using corona discharge ion mobility spectrometry and Tucker 3 model
|
Khayamian, T. |
|
|
118 |
C |
p. 88-96 |
artikel |
33 |
Spectrophotometric thermodynamic study of orientational isomers formed by inclusion of methyl orange into β-cyclodextrin nanocavity
|
Kompany-Zareh, Mohsen |
|
|
118 |
C |
p. 230-238 |
artikel |
34 |
Surface water quality assessment using self-organizing maps and Hasse diagram technique
|
Voyslavov, Tsvetomil |
|
|
118 |
C |
p. 280-286 |
artikel |
35 |
Systematic analysis revealed better performance of random forest algorithm coupled with complex network features in predicting microRNA precursors
|
Tang, Xiaojing |
|
|
118 |
C |
p. 317-323 |
artikel |
36 |
Technical details of the equation oriented system
|
Gan, Feng |
|
|
118 |
C |
p. 74-78 |
artikel |
37 |
Trends in laboratory information management system
|
Prasad, Poonam J. |
|
|
118 |
C |
p. 187-192 |
artikel |
38 |
Weak fault monitoring method for batch process based on multi-model SDKPCA
|
Wang, Ya-Jun |
|
|
118 |
C |
p. 1-12 |
artikel |