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1
Multiple linear regression and artificial neural networks based on principal components to predict ozone concentrations
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Multiple linear regression and artificial neural networks based on principal components to predict ozone concentrations

Sousa, S.I.V. ; Martins, F.G. ; Alvim-Ferraz, M.C.M. ; Pereira, M.C.

Environmental modelling & software : with environment data news, 2007, Vol.22 (1), p.97-103 [Periódico revisado por pares]

Elsevier Ltd

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Selection and validation of parameters in multiple linear and principal component regressions
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Selection and validation of parameters in multiple linear and principal component regressions

Pires, J.C.M. ; Martins, F.G. ; Sousa, S.I.V. ; Alvim-Ferraz, M.C.M. ; Pereira, M.C.

Environmental modelling & software : with environment data news, 2008, Vol.23 (1), p.50-55 [Periódico revisado por pares]

Elsevier Ltd

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3
drtsans: The data reduction toolkit for small-angle neutron scattering at Oak Ridge National Laboratory
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drtsans: The data reduction toolkit for small-angle neutron scattering at Oak Ridge National Laboratory

Heller, William T. ; Hetrick, John ; Bilheux, Jean ; Calvo, Jose M. Borreguero ; Chen, Wei-Ren ; DeBeer-Schmitt, Lisa ; Do, Changwoo ; Doucet, Mathieu ; Fitzsimmons, Michael R. ; Godoy, William F. ; Granroth, Garrett E. ; Hahn, Steven ; He, Lilin ; Islam, Fahima ; Lin, Jiao ; Littrell, Kenneth C. ; McDonnell, Marshall ; McGaha, Jesse ; Peterson, Peter F. ; Pingali, Sai Venkatesh ; Qian, Shuo ; Savici, Andrei T. ; Shang, Yingrui ; Stanley, Christopher B. ; Urban, Volker S. ; Whitfield, Ross E. ; Zhang, Chen ; Zhou, Wenduo ; Billings, Jay Jay ; Cuneo, Matthew J. ; Leal, Ricardo M. Ferraz ; Wang, Tianhao ; Wu, Bin

SoftwareX, 2022-07, Vol.19 (C), p.101101, Article 101101 [Periódico revisado por pares]

United States: Elsevier B.V

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4
Prediction of tropospheric ozone concentrations: Application of a methodology based on the Darwin’s Theory of Evolution
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Prediction of tropospheric ozone concentrations: Application of a methodology based on the Darwin’s Theory of Evolution

Pires, J.C.M. ; Alvim-Ferraz, M.C.M. ; Pereira, M.C. ; Martins, F.G.

Expert systems with applications, 2011-03, Vol.38 (3), p.1903-1908 [Periódico revisado por pares]

Elsevier Ltd

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5
Web interface for reflectivity fitting
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Web interface for reflectivity fitting

Doucet, M. ; Ferraz Leal, R.M. ; Hobson, T.C.

SoftwareX, 2018-01, Vol.7 (C), p.287-293 [Periódico revisado por pares]

United States: Elsevier B.V

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6
Comparison of several linear statistical models to predict tropospheric ozone concentrations
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Comparison of several linear statistical models to predict tropospheric ozone concentrations

Pires, J. C.M. ; Alvim-Ferraz, M. C.M. ; Pereira, M. C. ; Martins, F. G.

Journal of statistical computation and simulation, 2012-02, Vol.82 (2), p.183-192 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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7
Explainable Supervised Machine Learning Model To Predict Solvation Gibbs Energy
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Explainable Supervised Machine Learning Model To Predict Solvation Gibbs Energy

Ferraz-Caetano, José ; Teixeira, Filipe ; Cordeiro, M. Natália D. S.

Journal of chemical information and modeling, 2024-04, Vol.64 (7), p.2250-2262 [Periódico revisado por pares]

United States: American Chemical Society

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8
Modelling how social network algorithms can influence opinion polarization
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Modelling how social network algorithms can influence opinion polarization

Ferraz de Arruda, Henrique ; Maciel Cardoso, Felipe ; Ferraz de Arruda, Guilherme ; R. Hernández, Alexis ; da Fontoura Costa, Luciano ; Moreno, Yamir

Information sciences, 2022-04, Vol.588, p.265-278 [Periódico revisado por pares]

Elsevier Inc

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9
Temporal evaluation of evapotranspiration for sugar cane, planted forest and native forest using landsat 8 images and a two-source energy balance
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Temporal evaluation of evapotranspiration for sugar cane, planted forest and native forest using landsat 8 images and a two-source energy balance

Bosquilia, Raoni W.D. ; Neale, Christopher M.U. ; Duarte, Sergio N. ; Longhi, Solon J. ; Ferraz, Silvio F. de B. ; Muller-Karger, Frank E. ; McCarthy, Matthew J.

Computers and electronics in agriculture, 2018-08, Vol.151, p.70-76 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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10
Recursive formulation and parallel implementation of multiscale mixed methods
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Recursive formulation and parallel implementation of multiscale mixed methods

Abreu, E. ; Ferraz, P. ; Espírito Santo, A.M. ; Pereira, F. ; Santos, L.G.C. ; Sousa, F.S.

Journal of computational physics, 2023-01, Vol.473, p.111681, Article 111681 [Periódico revisado por pares]

Elsevier Inc

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