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Non-destructive evaluation of quality and ammonia content in whole and fresh-cut lettuce by computer vision systemPACE, Bernardo; CEFOLA, Maria; DA PELO, Paolo et al.Food research international. 2014, Vol 64, pp 647-655, issn 0963-9969, 9 p.Article

Validation of Rosner―Colditz breast cancer incidence model using an independent data set, the California Teachers StudyROSNER, B. A; COLDITZ, G. A; HANKINSON, S. E et al.Breast cancer research and treatment. 2013, Vol 142, Num 1, pp 187-202, issn 0167-6806, 16 p.Article

Revisiting physico-chemical hazards of ionic liquidsDIALLO, Alpha O; LEN, Christophe; MORGAN, Alexander B et al.Separation and purification technology. 2012, Vol 97, pp 228-234, issn 1383-5866, 7 p.Conference Paper

Internal and external validation of predictive models: A simulation study of bias and precision in small samplesSTEYERBERG, Ewout W; BLEEKER, Sacha E; MOLL, Henriëtte A et al.Journal of clinical epidemiology. 2003, Vol 56, Num 5, pp 441-447, issn 0895-4356, 7 p.Article

Short-term experimental data of drying shrinkage of ground granulated blast-furnace slag cement concreteKATAOKA, L. T; MACHADO, M. A. S; BITTENCOURT, T. N et al.Materials and structures. 2011, Vol 44, Num 3, pp 671-679, issn 1359-5997, 9 p.Article

Exchangeable lead from prediction models relates to vetiver lead uptake in different soil typesANDRA, Syam S; SARKAR, Dibyendu; SAMINATHAN, Sumathi K. M et al.Environmental monitoring and assessment. 2011, Vol 183, Num 1-4, pp 571-579, issn 0167-6369, 9 p.Article

Urban daytime traffic noise prediction modelsCARVALHO DA PAZ, Elaine; TROMBETTA ZANNIN, Paulo Henrique.Environmental monitoring and assessment. 2010, Vol 163, Num 1-4, pp 515-529, issn 0167-6369, 15 p.Article

Prediction models for calculating bolted connections using data mining techniques and the finite element methodFERNANDEZ, J; PERNIA, A; MARTINEZ-DE-PISON, F. J et al.Engineering structures. 2010, Vol 32, Num 10, pp 3018-3027, issn 0141-0296, 10 p.Article

Avoiding economic losses by proper segregation of apples based on maturity indicators prior to storageDIN, G. Yom; ZUGMAN, Z; SAKS, Y et al.Computers and electronics in agriculture. 2003, Vol 39, Num 3, pp 193-208, issn 0168-1699, 16 p.Article

Combined effects of oestrogen receptor antagonists on in vitro vitellogenesisPETERSEN, Karina; ERIK TOLLEFSEN, Knut.Aquatic toxicology. 2012, Vol 112-113, pp 46-53, issn 0166-445X, 8 p.Article

Prediction of advanced oxidation performance in various pilot UV/H2O2 reactor systems with MP- and LP- and DBD-UV lampsHOFMAN-CARIS, Roberta C. H. M; HARMSEN, Danny J. H; BEERENDONK, Erwin F et al.Chemical engineering journal (1996). 2012, Vol 210, pp 520-528, issn 1385-8947, 9 p.Article

Predicting VO2max with an objectively measured physical activity in Japanese menCAO, Zhen-Bo; MIYATAKE, Nobuyuki; HIGUCHI, Mitsuru et al.European journal of applied physiology (Print). 2010, Vol 109, Num 3, pp 465-472, issn 1439-6319, 8 p.Article

The use of prediction models of spontaneous pregnancy in in vitro fertilization units reveals differences between the expected results of public and private clinics in SpainGABBANINI, Massimo; PRIVITERA, Laura; MONZO, Ana et al.Fertility and sterility. 2010, Vol 94, Num 6, pp 2376-2378, issn 0015-0282, 3 p.Article

Multivariate statistics as a tool for model-based prediction of floodplain vegetation and faunaHETTRICH, Anke; ROSENZWEIG, Stephan.Ecological modelling. 2003, Vol 169, Num 1, pp 73-87, issn 0304-3800, 15 p.Article

Discrimination ability of prediction models for ordinal outcomes: Relationships between existing measures and a new measureVAN CALSTER, Ben; VAN BELLE, Vanya; VERGOUWE, Yvonne et al.Biometrical journal. 2012, Vol 54, Num 5, pp 674-685, issn 0323-3847, 12 p.Article

Non-destructive analysis of aw, salt and water in dry-cured hams during drying process by means of computed tomographySANTOS-GARCES, Eva; GOU, Pere; GARCIA-GIL, Núria et al.Journal of food engineering. 2010, Vol 101, Num 2, pp 187-192, issn 0260-8774, 6 p.Article

Modelling text prediction systems in low- and high-inflected languages = Modélisation des systèmes de prédiction de texte dans les langues flexionnellesGARAY-VITORIA, Nestor; ABASCAL, Julio.Computer speech & language (Print). 2010, Vol 24, Num 2, pp 117-135, issn 0885-2308, 19 p.Article

An improved correlation model for sediment delivery ratio assessmentDIODATO, Nazzareno; GRAUSO, Sergio.Environmental earth sciences (Print). 2009, Vol 59, Num 1, pp 223-231, issn 1866-6280, 9 p.Article

A geometrical model to predict the wear evolution of coated surfacesRAMALHO, A.Wear. 2008, Vol 264, Num 9-10, pp 775-780, issn 0043-1648, 6 p.Conference Paper

The potential of novel biomarkers to improve risk prediction of type 2 diabetesHERDER, Christian; KOWALL, Bernd; TABAK, Adam G et al.Diabetologia (Berlin). 2014, Vol 57, Num 1, pp 16-29, issn 0012-186X, 14 p.Article

A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performanceMEADS, Catherine; AHMED, Ikhlaaq; RILEY, Richard D et al.Breast cancer research and treatment. 2012, Vol 132, Num 2, pp 365-377, issn 0167-6806, 13 p.Article

Prediction of salt and water content in dry-cured hams by computed tomographyFULLADOSA, E; SANTOS-GARCES, E; PICOUET, P et al.Journal of food engineering. 2010, Vol 96, Num 1, pp 80-85, issn 0260-8774, 6 p.Article

Prediction of beef meat emulsion quality with apparent light backscatter extinctionALVAREZ, D; CASTILLO, M; XIONG, Y. L et al.Food research international. 2010, Vol 43, Num 5, pp 1260-1266, issn 0963-9969, 7 p.Article

Robust prediction models for quality parameters in Japanese plums (Prunus salicina L.) using NIR spectroscopyLOUW, Esmé D; THERON, Karen I.Postharvest biology and technology. 2010, Vol 58, Num 3, pp 176-184, issn 0925-5214, 9 p.Article

Modeling churn using customer lifetime valueGLADY, Nicolas; BAESENS, Bart; CROUX, Christophe et al.European journal of operational research. 2009, Vol 197, Num 1, pp 402-411, issn 0377-2217, 10 p.Article

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