ARTÍCULO
TITULO

Ensemble Learning or Deep Learning? Application to Default Risk Analysis

Shigeyuki Hamori    
Minami Kawai    
Takahiro Kume    
Yuji Murakami and Chikara Watanabe    

Resumen

No disponible

 Artículos similares

       
 
El houssin Ouassou and Hafsa Taya    
Tourism is one of the main sources of wealth for the Moroccan regions, since, in 2019, it contributed 7.1% to the total GDP. However, it is considered to be one of the sectors most vulnerable to exogenous shocks (political and social stability, currency ... ver más
Revista: Forecasting

 
Alireza Rezazadeh, Yasamin Jafarian and Ali Kord    
Image classification is widely used to build predictive models for breast cancer diagnosis. Most existing approaches overwhelmingly rely on deep convolutional networks to build such diagnosis pipelines. These model architectures, although remarkable in p... ver más
Revista: Forecasting

 
Emmanuel Senyo Fianu    
Because of the non-linearity inherent in energy commodity prices, traditional mono-scale smoothing methodologies cannot accommodate their unique properties. From this viewpoint, we propose an extended mode decomposition method useful for the time-frequen... ver más
Revista: Forecasting

 
Sajjad Khan, Shahzad Aslam, Iqra Mustafa and Sheraz Aslam    
Day-ahead electricity price forecasting plays a critical role in balancing energy consumption and generation, optimizing the decisions of electricity market participants, formulating energy trading strategies, and dispatching independent system operators... ver más
Revista: Forecasting

 
Alireza Rezazadeh    
Predicting the outcome of sales opportunities is a core part of successful business management. Conventionally, undertaking this prediction has relied mostly on subjective human evaluations in the process of sales decision-making. In this paper, we addre... ver más
Revista: Forecasting