Global sensitivity analysis for a real-time electricity market forecast by a machine learning approach: A case study of Mexico

2022 ◽  
Vol 135 ◽  
pp. 107505
Author(s):  
E. Cruz May ◽  
A. Bassam ◽  
Luis J. Ricalde ◽  
M.A. Escalante Soberanis ◽  
O. Oubram ◽  
...  
Keyword(s):  
Machine Learning ◽  
Sensitivity Analysis ◽  
Real Time ◽  
Electricity Market ◽  
Global Sensitivity Analysis ◽  
Learning Approach ◽  
Global Sensitivity ◽  
Machine Learning Approach ◽  
Market Forecast

HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study

2021 ◽  
Vol 131 ◽  
pp. 104255
Author(s):  
Zeyu Liu ◽  
Anahita Khojandi ◽  
Akram Mohammed ◽  
Xueping Li ◽  
Lokesh K. Chinthala ◽  
...  
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
False Alarms ◽  
Learning Approach ◽  
Machine Learning Approach

A Machine Learning Approach for Predicting Real-time Risk of Intraoperative Hypotension in Traumatic Brain Injury

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Shara I. Feld ◽  
Daniel S. Hippe ◽  
Ljubomir Miljacic ◽  
Nayak L. Polissar ◽  
Shu-Fang Newman ◽  
...  
Keyword(s):  
Machine Learning ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Real Time ◽  
Learning Approach ◽  
Intraoperative Hypotension ◽  
Machine Learning Approach

scholarly journals Efficient machine learning approach for volunteer eye-blink detection in real-time using webcam

2021 ◽  
pp. 116073
Author(s):  
Paulo Augusto de Lima Medeiros ◽  
Gabriel Vinícius Souza da Silva ◽  
Felipe Ricardo dos Santos Fernandes ◽  
Ignacio Sánchez-Gendriz ◽  
Hertz Wilton Castro Lins ◽  
...  
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Learning Approach ◽  
Eye Blink ◽  
Machine Learning Approach ◽  
Blink Detection ◽  
Efficient Machine

A Machine Learning Approach to Risk Factors: A Case Study Using the Fama–French–Carhart Model

2019 ◽  
Vol 1 (1) ◽  
pp. 32-44
Author(s):  
Joseph Simonian ◽  
Chenwei Wu ◽  
Daniel Itano ◽  
Vyshaal Narayanam
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Learning Approach ◽  
Machine Learning Approach

scholarly journals Gene shaving using a sensitivity analysis of kernel based machine learning approach, with applications to cancer data

PLoS ONE ◽  
2019 ◽  
Vol 14 (5) ◽  
pp. e0217027
Author(s):  
Md. Ashad Alam ◽  
Mohammd Shahjaman ◽  
Md. Ferdush Rahman ◽  
Fokhrul Hossain ◽  
Hong-Wen Deng
Keyword(s):  
Machine Learning ◽  
Sensitivity Analysis ◽  
Learning Approach ◽  
Cancer Data ◽  
Machine Learning Approach ◽  
Gene Shaving
Sign in / Sign up

Export Citation Format

Share Document