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14篇 您的检索式：作者名="Ulrici"

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		题名	作者	年代	出处	被引量
	1	Multi-target prediction of wheat flour quality parameters with near infrared spectroscopy显示文摘Near Infrared(NIR)spectroscopy is an analytical technology widely used for the nondestructive characterisation of organic samples,considering both qualitative and quantitative attributes.In the present study,the combination of Multi-target(MT)prediction approaches and Machine Learning algorithms has been evaluated as an effective strategy to improve prediction performances of NIR data from wheat flour samples.Three different Multi-target approaches have been tested:Multi-target Regressor Stacking(MTRS),Ensemble of Regressor Chains(ERC)and Deep Structure for Tracking Asynchronous Regressor Stack(DSTARS).Each one of these techniques has been tested with different regression methods:Support Vector Machine(SVM),Random Forest(RF)and Linear Regression(LR),on a dataset composed of NIR spectra of bread wheat flours for the prediction of qualityrelated parameters.By combining all MT techniques and predictors,we obtained an improvement up to 7%in predictive performance,compared with the corresponding Single-target(ST)approaches.The results support the potential advantage of MT techniques over ST techniques for analysing NIR spectra.	Sylvio Barbon Junior Saulo Martielo Mastelini Ana Paula ACBarbon Douglas Fernandes Barbin Rosalba Calvini Jessica Fernandes Lopes Alessandro Ulrici	2020	Information Processing in Agriculture2020，7，2：	2
	2	Application of a Wavelet-Based Algorithm on HS-SPME/GC Signals for the Classification of Balsamic Vinegars显示文摘	Marina Cocchi Caterina Durante Giorgia Foca Daniela Manzini Andrea Marchetti Alessandro Ulrici	2004	Chemometrics and Intelligent Laboratory Systems2004，71，：	1
	3	Handling large datasets of hyperspectral images: Reducing data size without loss of useful information显示文摘	Carlotta Ferrari Giorgia Foca Alessandro Ulrici	2013	Analytica Chimica Acta2013，，：	1
	4	Automated identification and visualization of food defects using RGB imaging:Application to the detection of red skin defect of raw hams显示文摘	Alessandro Ulrici Giorgia Foca Maria Cristina Ielo	2012	Innovative Food Science and Emerging Technologies2012，16，10：	1
	5	WPTER: Wavelet packet transform for efficient pattern recognition of signals 显示文摘	Cocchi M Seeber R Ulrici A	2001	Chemometrics and Intelligent Laboratory Systems2001，57，2：	1
	6	Automated identification and visualization of food defects using RGB imaging: application to the detection of red skin defect of raw hams显示文摘	Alessandro Ulrici Giorgia Foca Maria Cristina Ielo	2012	Innovative Food Science & Emerging Technologies2012，16，：	1
	7	Kinematic viscosities of binary liquid mixtures of 2-butanone with 1,2-propanediol 显示文摘	Manfredini M Marehetti A Sighinolfi S Tassi L Ulrici A Vignali M Zucchi C	2002	Journal of Solution Chemistry2002，31，3：	1
	8	Assessment of apical periodontitis by size comparison between MRI and CBCT显示文摘	Schreiber ES Bracher AK Ulrici J	2012	Proc Intl Soc Mag Reson Med2012，20，：	1
	9	Wavelet packet transform forefficient pattern recognition of signals显示文摘	Cocchi M Seeber R Ulrici A	2001	Chemometrics and Intel-ligent Laboratory Systems2001，57，10：	1
	10	Refractive indices of binary mixtures of(1,2-dichloroethane+2-chloroethanol)at various temperatures显示文摘	Andrea Marchetti Lorenzo Tassi Alessandro Ulrici	1999	J Cham Thermodynamics1999，31，：	1
	11	Wavelet packet transform for efficient pattem recognition of signals显示文摘	Cocchi M Seeber R Ulrici A	2001	Chemometrics and Inteeligent Laboratory Systems2001，57，23：	1
	12	Extraction and quan- tification of main pigments in pesto sauces 显示文摘	Masino F Ulrici A Antonelli A	2008	Euro- pean Food Research and Technology2008，226，：	1
	13	WPTER:wavelet packet transform for efficient pattern recognition of signals显示文摘	Cocchi M Seeber R Ulrici A	2001	Chemometrics and Intelligent Laboratory Systems2001，57，23：	1
	14	Extraction and quantification of main pigments in pesto sauces显示文摘	FRANCESCA MASINO ALESSANDRO ULRICI ANDREA ANTONELLI	2008	Eur Food Res Technol2008，226，：	1

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