nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A hybrid feature selection method for predicting lysine malonylation sites in proteins via machine learning
|
Rajabiun, Hananeh |
|
|
222 |
C |
p. |
artikel |
2 |
An alternative point of view on PLS
|
Stocchero, Matteo |
|
|
222 |
C |
p. |
artikel |
3 |
A note on neighborhood first Zagreb energy and its significance as a molecular descriptor
|
Mondal, Sourav |
|
|
222 |
C |
p. |
artikel |
4 |
An unsupervised gene selection method based on multivariate normalized mutual information of genes
|
Rahmanian, Mohsen |
|
|
222 |
C |
p. |
artikel |
5 |
Application of artificial neural networks to the prediction of antifungal activity of imidazole derivatives against Candida albicans
|
Badura, Anna |
|
|
222 |
C |
p. |
artikel |
6 |
Application of the LAD-LASSO as a dimensional reduction technique in the ANN-based QSAR study: Discovery of potent inhibitors using molecular docking simulation
|
Mozafari, Zeinab |
|
|
222 |
C |
p. |
artikel |
7 |
A rapid automatic spectroscopic identification method of environmental microplastics
|
Chen, Xi |
|
|
222 |
C |
p. |
artikel |
8 |
Chemometrics in food science and technology: A bibliometric study
|
Aleixandre-Tudo, J.L. |
|
|
222 |
C |
p. |
artikel |
9 |
Domain invariant covariate selection (Di-CovSel) for selecting generalized features across domains
|
Diaz, Valeria Fonseca |
|
|
222 |
C |
p. |
artikel |
10 |
Editorial Board
|
|
|
|
222 |
C |
p. |
artikel |
11 |
iAFPs-EnC-GA: Identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach
|
Ahmad, Ashfaq |
|
|
222 |
C |
p. |
artikel |
12 |
Improved understanding and prediction of pear fruit firmness with variation partitioning and sequential multi-block modelling
|
Mishra, Puneet |
|
|
222 |
C |
p. |
artikel |
13 |
Naive Bayes combined with partial least squares for classification of high dimensional microarray data
|
Mehmood, Tahir |
|
|
222 |
C |
p. |
artikel |
14 |
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
|
Moussa, Hamza |
|
|
222 |
C |
p. |
artikel |
15 |
Pattern recognition method from hydrochemical parameters to predict uranium concentrations in groundwater
|
Khurelbaatar, Luvsanbat |
|
|
222 |
C |
p. |
artikel |
16 |
Peak-aware guided filtering for spectrum signal denoising
|
Liu, Donghong |
|
|
222 |
C |
p. |
artikel |
17 |
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
|
Mishra, Puneet |
|
|
222 |
C |
p. |
artikel |
18 |
RoBoost-PLS2-R: An extension of RoBoost-PLSR method for multi-response
|
Metz, Maxime |
|
|
222 |
C |
p. |
artikel |
19 |
Robust probabilistic principal component regression with switching mixture Gaussian noise for soft sensing
|
Sadeghian, Anahita |
|
|
222 |
C |
p. |
artikel |
20 |
StackRAM: a cross-species method for identifying RNA N6-methyladenosine sites based on stacked ensemble
|
Zhang, Yaqun |
|
|
222 |
C |
p. |
artikel |
21 |
The development of nano-QSPR models for viscosity of nanofluids using the index of ideality of correlation and the correlation intensity index
|
Jafari, Kimia |
|
|
222 |
C |
p. |
artikel |