Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation

PM 10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study

(2018) P.J. García Nieto et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron

(2018) E. Chianese et al.   Ecological Informatics

Intrinsic dimension estimation: Advances and open problems

(2016) Francesco Camastra et al.   INFORMATION SCIENCES

Linear SVM-based recognition of elementary juggling movements using correlation dimension of Euler Angles of a single arm

(2016) Francesco Camastra et al.   NEURAL COMPUTING & APPLICATIONS

Imputation of missing data in time series for air pollutants

(2015) W.L. Junger et al.   ATMOSPHERIC ENVIRONMENT

Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations

(2015) Brian D. Gerber et al.   JOURNAL OF ANIMAL ECOLOGY

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Ozone concentration forecast method based on genetic algorithm optimized back propagation neural networks and support vector machine data classification

(2011) Yu Feng et al.   ATMOSPHERIC ENVIRONMENT

How to fit nonlinear plant growth models and calculate growth rates: an update for ecologists

(2011) C. E. Timothy Paine et al.   Methods in Ecology and Evolution

A comparative evaluation of nonlinear dynamics methods for time series prediction

(2009) Francesco Camastra et al.   NEURAL COMPUTING & APPLICATIONS