Nowcasting significant wave height by hierarchical machine learning classification

Forecasting of Significant Wave Height Based on Gated Recurrent Unit Network in the Taiwan Strait and Its Adjacent Waters

(2021) Jichao Wang et al.   Water

Coastal zone significant wave height prediction by supervised machine learning classification algorithms

(2021) Demetris Demetriou et al.   OCEAN ENGINEERING

Cost-sensitive hierarchical classification for imbalance classes

(2020) Weijie Zheng et al.   APPLIED INTELLIGENCE

AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning

(2020) Aboozar Taherkhani et al.   NEUROCOMPUTING

A GA based hierarchical feature selection approach for handwritten word recognition

(2019) Samir Malakar et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of short-term wind and wave conditions for marine operations using a multi-step-ahead decomposition-ANFIS model and quantification of its uncertainty

(2019) Mengning Wu et al.   OCEAN ENGINEERING

Ocean wave height prediction using ensemble of Extreme Learning Machine

(2018) N. Krishna Kumar et al.   NEUROCOMPUTING

A systematic study of the class imbalance problem in convolutional neural networks

(2018) Mateusz Buda et al.   NEURAL NETWORKS

Performance evaluation of Wavewatch III in the Mediterranean Sea

(2015) Lorenzo Mentaschi et al.   OCEAN MODELLING

Classifying imbalanced data sets using similarity based hierarchical decomposition

(2015) Cigdem Beyan et al.   PATTERN RECOGNITION

A survey of hierarchical classification across different application domains

(2010) Carlos N. Silla et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Hierarchical classification of G-Protein-Coupled Receptors with data-driven selection of attributes and classifiers

(2010) A. Secker et al.   International Journal of Data Mining and Bioinformatics

Computation of wind-wave spectra in coastal waters with SWAN on unstructured grids

(2009) M. Zijlema   COASTAL ENGINEERING

Prediction of significant wave height using regressive support vector machines

(2009) J. Mahjoobi et al.   OCEAN ENGINEERING

Hindcasting of wave parameters using different soft computing methods

(2008) J. Mahjoobi et al.   APPLIED OCEAN RESEARCH

SVMs Modeling for Highly Imbalanced Classification

(2008) Yuchun Tang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

The estimation of monthly mean significant wave heights by using artificial neural network and regression methods

(2008) Kemal Günaydın   OCEAN ENGINEERING