Breaking with trends in pre-processing?

Jasper Engel, Jan Gerretzen, Ewa Szymańska, +4

TrAC Trends in Analytical Chemistry

Business IntelligencePrescriptive AnalyticsManagementHuman-computer InteractionInformation Management +3

Convolutional neural networks for vibrational spectroscopic data analysis

Jacopo Acquarelli, Twan van Laarhoven, Jan Gerretzen, +3

Analytica Chimica Acta

PhysicsNatural SciencesSpectroscopyConvolutional Neural NetworksDeep Learning +2

Simple and Effective Way for Data Preprocessing Selection Based on Design of Experiments

Jan Gerretzen, Ewa Szymańska, Jeroen J. Jansen, +4

Analytical Chemistry

EngineeringChemical AnalysisData PreparationFeature SelectionChemistry +26

Chemometrics and qualitative analysis have a vibrant relationship

Ewa Szymańska, Jan Gerretzen, Jasper Engel, +3

TrAC Trends in Analytical Chemistry

Chemometric MethodChemometricsHealth StudiesQualitative Analysis

Warping methods for spectroscopic and chromatographic signal alignment: A tutorial

Tom G. Bloemberg, Jan Gerretzen, Anton Lunshof, +2

Analytica Chimica Acta

Spectroscopic MethodAnalytical InstrumentationBiochemistryGas ChromatographyChromatographic Signal Alignment +9

Improved parametric time warping for proteomics

Tom G. Bloemberg, Jan Gerretzen, Hans Wouters, +7

Chemometrics and Intelligent Laboratory Systems

Proteomic TechnologyEngineeringParametric TimeMedicineComputational Biology +5

Boosting model performance and interpretation by entangling preprocessing selection and variable selection

Jan Gerretzen, Ewa Szymańska, Jacob Bart, +5

Analytica Chimica Acta

EngineeringMachine LearningFeature SelectionOptimal Experimental DesignVariable Selection +22

The white of the 20th century: an explorative survey into Dutch modern art collections

B.A. van Driel, Klaas Jan van den Berg, Jan Gerretzen, +1

Heritage Science

Weight randomization test for the selection of the number of components in PLS models

Thanh Tran, Ewa Szymańska, Jan Gerretzen, +3

Journal of Chemometrics

EngineeringRandomization TestsData ScienceHigh-dimensional MethodPls Models +9

Understanding chemical production processes by using PLS path model parameters as soft sensors

Geert van Kollenburg, Jacoline van Es, Jan Gerretzen, +7

Computers & Chemical Engineering

Chemical KineticsEngineeringIndustrial EngineeringChemical ProcessProcess Safety +19