Machine learning approach for pavement performance prediction
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Eduardo Fortunato | Marta Castilho Gomes | Maria de Lurdes Antunes | Pedro Marcelino | E. Fortunato | M. Gomes | Maria de Lurdes Antunes | P. Marcelino
[1] Elie Bienenstock,et al. Neural Networks and the Bias/Variance Dilemma , 1992, Neural Computation.
[2] Timo Hartmann,et al. Analysing the accuracy of pavement performance models in the short and long terms: GMDH and ANFIS methods , 2016 .
[3] Halil Ceylan,et al. Neural Networks Applications in Pavement Engineering: A Recent Survey , 2014 .
[4] Donald Poskitt,et al. The selection and use of linear and bilinear time series models , 1986 .
[5] Thomas G. Dietterich. Multiple Classifier Systems , 2000, Lecture Notes in Computer Science.
[6] Isabelle Guyon,et al. An Introduction to Feature Extraction , 2006, Feature Extraction.
[7] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..
[8] B. Efron. Bootstrap Methods: Another Look at the Jackknife , 1979 .
[9] Sven F. Crone,et al. Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction , 2011 .
[10] Richard Simon,et al. Bias in error estimation when using cross-validation for model selection , 2006, BMC Bioinformatics.
[11] Timo Hartmann,et al. Prediction of IRI in short and long terms for flexible pavements: ANN and GMDH methods , 2016 .
[12] Michael I. Jordan,et al. Machine learning: Trends, perspectives, and prospects , 2015, Science.
[13] Victoria J. Hodge,et al. A Survey of Outlier Detection Methodologies , 2004, Artificial Intelligence Review.
[14] Guozhong An,et al. The Effects of Adding Noise During Backpropagation Training on a Generalization Performance , 1996, Neural Computation.
[15] Rob J Hyndman,et al. 25 years of time series forecasting , 2006 .
[16] Amir F. Atiya,et al. A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition , 2011, Expert Syst. Appl..
[17] Zhen Zhu,et al. Optimized Approximation Algorithm in Neural Networks Without Overfitting , 2008, IEEE Transactions on Neural Networks.
[18] Peter Bühlmann,et al. MissForest - non-parametric missing value imputation for mixed-type data , 2011, Bioinform..
[19] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[20] Michael P. Clements,et al. Forecasting economic and financial time-series with non-linear models , 2004 .
[21] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[22] J. Keith Ord,et al. Automatic neural network modeling for univariate time series , 2000 .
[23] Nasir G. Gharaibeh,et al. IRI Prediction Model for Use in Network-Level Pavement Management Systems , 2017 .
[24] N. Altman. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression , 1992 .
[25] Shelley M Stoffels,et al. Framework for Development and Comprehensive Comparison of Empirical Pavement Performance Models , 2015 .
[26] Dag Tjøstheim,et al. Estimation in nonlinear time series models , 1986 .
[27] A. Vannucci,et al. Using artificial neural networks to forecast chaotic time series , 2000 .
[28] Trevor Hastie,et al. An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.
[29] Paola Bandini,et al. Prediction of Pavement Performance through Neuro‐Fuzzy Reasoning , 2010, Comput. Aided Civ. Infrastructure Eng..
[30] Kyoung-jae Kim,et al. Financial time series forecasting using support vector machines , 2003, Neurocomputing.
[31] S. Travis Waller,et al. Prediction of Pavement Performance: Application of Support Vector Regression with Different Kernels , 2016 .
[32] Hojjat Adeli,et al. Neural Networks in Civil Engineering: 1989–2000 , 2001 .
[33] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[34] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[35] Shelley M Stoffels,et al. Network-Level Pavement Roughness Prediction Model for Rehabilitation Recommendations , 2010 .
[36] Mehran Mazari,et al. Prediction of pavement roughness using a hybrid gene expression programming-neural network technique , 2016 .
[37] Matthew Scotch,et al. Comparison of ARIMA and Random Forest time series models for prediction of avian influenza H5N1 outbreaks , 2014, BMC Bioinformatics.
[38] Pablo Luis Durango-Cohen,et al. A time series analysis framework for transportation infrastructure management , 2007 .
[39] Amir F. Atiya,et al. An Empirical Comparison of Machine Learning Models for Time Series Forecasting , 2010 .