| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Active learning algorithm can establish classifier of blueberry damage with very small training dataset using hyperspectral transmittance data
|
Hu, Meng-Han
|
|
2018
|
172 |
C |
p. 52-57
|
artikel
|
| 2 |
A model-based data mining approach for determining the domain of validity of approximated models
|
Quaglio, Marco
|
|
2018
|
172 |
C |
p. 58-67
|
artikel
|
| 3 |
A new active learning strategy for soft sensor modeling based on feature reconstruction and uncertainty evaluation
|
Tang, Qifeng
|
|
2018
|
172 |
C |
p. 43-51
|
artikel
|
| 4 |
A new reconstruction-based auto-associative neural network for fault diagnosis in nonlinear systems
|
Ren, Shaojun
|
|
2018
|
172 |
C |
p. 118-128
|
artikel
|
| 5 |
Artificially generated near-infrared spectral data for classification purposes
|
Sem, Vilma
|
|
2018
|
172 |
C |
p. 100-108
|
artikel
|
| 6 |
A selective review and comparison for interval variable selection in spectroscopic modeling
|
Wang, Li-Li
|
|
2018
|
172 |
C |
p. 229-240
|
artikel
|
| 7 |
A visualization approach for unknown fault diagnosis
|
He, Zhangming
|
|
2018
|
172 |
C |
p. 80-89
|
artikel
|
| 8 |
A weighted heteroscedastic Gaussian Process Modelling via particle swarm optimization
|
Hong, Xiaodan
|
|
2018
|
172 |
C |
p. 129-138
|
artikel
|
| 9 |
Combining gene essentiality with feature selection method to explore multi-cancer biomarkers
|
Huang, Ziyan
|
|
2018
|
172 |
C |
p. 241-247
|
artikel
|
| 10 |
Deep-learning-based regression model and hyperspectral imaging for rapid detection of nitrogen concentration in oilseed rape (Brassica napus L.) leaf
|
Yu, Xinjie
|
|
2018
|
172 |
C |
p. 188-193
|
artikel
|
| 11 |
Dynamic hypersphere based support vector data description for batch process monitoring
|
Wang, Jianlin
|
|
2018
|
172 |
C |
p. 17-32
|
artikel
|
| 12 |
Editorial Board
|
|
|
2018
|
172 |
C |
p. ii
|
artikel
|
| 13 |
Estimating nitrogen status of rice canopy using hyperspectral reflectance combined with BPSO-SVR in cold region
|
Tan, Kezhu
|
|
2018
|
172 |
C |
p. 68-79
|
artikel
|
| 14 |
Evaluation of diagnosis methods in PCA-based Multivariate Statistical Process Control
|
Fuentes-García, Marta
|
|
2018
|
172 |
C |
p. 194-210
|
artikel
|
| 15 |
Finding the optimal time resolution for batch-end quality prediction: MRQP – A framework for multi-resolution quality prediction
|
Gins, Geert
|
|
2018
|
172 |
C |
p. 150-158
|
artikel
|
| 16 |
HYPER-Tools. A graphical user-friendly interface for hyperspectral image analysis
|
Mobaraki, Nabiollah
|
|
2018
|
172 |
C |
p. 174-187
|
artikel
|
| 17 |
Identification of hindered internal rotational mode for complex chemical species: A data mining approach with multivariate logistic regression model
|
Le, Triet H.M.
|
|
2018
|
172 |
C |
p. 10-16
|
artikel
|
| 18 |
Identifying animal species in NIR hyperspectral images of processed animal proteins (PAPs): Comparison of multivariate techniques
|
Riccioli, Cecilia
|
|
2018
|
172 |
C |
p. 139-149
|
artikel
|
| 19 |
In-line Vis-NIR spectral analysis for the column chromatographic processes of Ginkgo biloba part I: End-point determination of the elution process
|
Li, Wenlong
|
|
2018
|
172 |
C |
p. 159-166
|
artikel
|
| 20 |
Model population analysis in model evaluation
|
Deng, Baichuan
|
|
2018
|
172 |
C |
p. 223-228
|
artikel
|
| 21 |
PRFFECT: A versatile tool for spectroscopists
|
Smith, Benjamin R.
|
|
2018
|
172 |
C |
p. 33-42
|
artikel
|
| 22 |
Robust analysis of spectra with strong background signals by First-Derivative Indirect Hard Modeling (FD-IHM)
|
Beumers, P.
|
|
2018
|
172 |
C |
p. 1-9
|
artikel
|
| 23 |
Robust and sparse estimation methods for high-dimensional linear and logistic regression
|
Kurnaz, Fatma Sevinç
|
|
2018
|
172 |
C |
p. 211-222
|
artikel
|
| 24 |
Steel surface defect classification using multiple hyper-spheres support vector machine with additional information
|
Gong, Rongfen
|
|
2018
|
172 |
C |
p. 109-117
|
artikel
|
| 25 |
Support vector regression coupled with wavelength selection as a robust analytical method
|
Soares, Felipe
|
|
2018
|
172 |
C |
p. 167-173
|
artikel
|
| 26 |
Using spectral and textural data extracted from hyperspectral near infrared spectroscopy imaging to discriminate between processed pork, poultry and fish proteins
|
Garrido-Novell, Cristóbal
|
|
2018
|
172 |
C |
p. 90-99
|
artikel
|
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