Comparative Analysis of Rainfall Prediction Models Using Machine Learning in Islands with Complex Orography: Tenerife Island
暂无分享,去创建一个
Aguasca-Colomo | Castellanos-Nieves | Méndez | Dagoberto Castellanos-Nieves | Méndez | Ricardo Aguasca-Colomo | Máximo Méndez
[1] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[2] Ming Wu,et al. Weather Visibility Prediction Based on Multimodal Fusion , 2019, IEEE Access.
[3] Ponnuthurai N. Suganthan,et al. Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article] , 2016, IEEE Computational Intelligence Magazine.
[4] Jayanta Basak,et al. Weather Data Mining Using Independent Component Analysis , 2004, J. Mach. Learn. Res..
[5] Max Kuhn,et al. Building Predictive Models in R Using the caret Package , 2008 .
[6] J. Friedman. Regularized Discriminant Analysis , 1989 .
[7] Ricardo García-Herrera,et al. Precipitation trends in the Canary Islands , 2003 .
[8] Nathalie Japkowicz,et al. The class imbalance problem: A systematic study , 2002, Intell. Data Anal..
[9] Gang Wang,et al. Deep Learning-Based Classification of Hyperspectral Data , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[10] Philip J. Sallis,et al. A machine-learning algorithm for wind gust prediction , 2011, Comput. Geosci..
[11] J. Done,et al. The next generation of NWP: explicit forecasts of convection using the weather research and forecasting (WRF) model , 2004 .
[12] Gustavo Camps-Valls,et al. Semi-Supervised Graph-Based Hyperspectral Image Classification , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[13] Zhi-Hua Zhou,et al. Exploratory Under-Sampling for Class-Imbalance Learning , 2006, Sixth International Conference on Data Mining (ICDM'06).
[14] Hui Lin,et al. A data mining approach for heavy rainfall forecasting based on satellite image sequence analysis , 2007, Comput. Geosci..
[15] José G. Hernández-Travieso,et al. An Approach for Multiparameter Meteorological Forecasts , 2018, Applied Sciences.
[16] T. Cropper. The weather and climate of Macaronesia: past, present and future , 2013 .
[17] Alex Alves Freitas,et al. An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives , 2017, Expert Syst. Appl..
[18] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[19] D. Gallego,et al. North Atlantic oscillation influence and weather types associated with winter total and extreme precipitation events in Spain , 2009 .
[20] Duong Tran Anh,et al. Improved Rainfall Prediction Using Combined Pre-Processing Methods and Feed-Forward Neural Networks , 2019, J.
[21] Kevin E. Trenberth,et al. An Evaluation and Intercomparison of Global Analyses from the National Meteorological Center and the European Centre for Medium Range Weather Forecasts , 1988 .
[22] J. Friedman. Stochastic gradient boosting , 2002 .
[23] Francesca Bovolo,et al. Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[24] Shashidhar G. Koolagudi,et al. Prediction model for peninsular Indian summer monsoon rainfall using data mining and statistical approaches , 2017, Comput. Geosci..
[25] Richard L. Bankert,et al. Data Mining Numerical Model Output for Single-Station Cloud-Ceiling Forecast Algorithms , 2007 .
[26] Ladislav Hluchý,et al. Data mining and integration for predicting significant meteorological phenomena , 2010, ICCS.
[27] Xunlai Chen,et al. Notice of Retraction: Short-term and local rainfall probability prediction based on a dislocation support vector machine model using satellite and in-situ observational data , 2020 .
[28] Bernd Bischl,et al. mlr: Machine Learning in R , 2016, J. Mach. Learn. Res..
[29] Quoc Bao Pham,et al. Combing Random Forest and Least Square Support Vector Regression for Improving Extreme Rainfall Downscaling , 2019, Water.
[30] Ali Haidar,et al. Monthly Rainfall Forecasting Using One-Dimensional Deep Convolutional Neural Network , 2018, IEEE Access.
[31] Soteris A. Kalogirou,et al. Machine learning methods for solar radiation forecasting: A review , 2017 .
[32] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[33] Willem Bouten,et al. RNCEP: global weather and climate data at your fingertips , 2012 .
[34] Senén Barro,et al. Do we need hundreds of classifiers to solve real world classification problems? , 2014, J. Mach. Learn. Res..
[35] Yanghui Wu,et al. A XGBoost Model with Weather Similarity Analysis and Feature Engineering for Short-Term Wind Power Forecasting , 2019, Applied Sciences.
[36] Eibe Frank,et al. Logistic Model Trees , 2003, Machine Learning.
[37] Shashidhar G. Koolagudi,et al. Long-range prediction of Indian summer monsoon rainfall using data mining and statistical approaches , 2017, Theoretical and Applied Climatology.
[38] Javier Diez-Sierra,et al. A rainfall analysis and forecasting tool , 2017, Environ. Model. Softw..
[39] Vladimir M. Krasnopolsky,et al. Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction , 2006, Neural Networks.
[40] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[41] Zachary C. Lipton,et al. The mythos of model interpretability , 2018, Commun. ACM.
[42] S. Poornima,et al. Prediction of Rainfall Using Intensified LSTM Based Recurrent Neural Network with Weighted Linear Units , 2019, Atmosphere.
[43] R. Herrera,et al. Influence of the North Atlantic oscillation on the Canary Islands precipitation , 2001 .
[44] M. Alizadeh,et al. A new approach for simulating and forecasting the rainfall-runoff process within the next two months , 2017 .
[45] Francisco Herrera,et al. A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[46] Jun Li,et al. Estimating Summertime Precipitation from Himawari-8 and Global Forecast System Based on Machine Learning , 2019, IEEE Transactions on Geoscience and Remote Sensing.