Results 171 to 180 of about 66,762 (195)

Interpretable machine learning for accelerating the discovery of metal-organic frameworks for ethane/ethylene separation

Chemical Engineering Journal, 2022
Zihao Wang, Teng Zhou, Kai Sundmacher
exaly  

Evaluating the Effectiveness of Marketing Campaigns for Malls Using a Novel Interpretable Machine Learning Model

Information Systems Research, 2022
Tong Wang, Cheng He, Fujie Jin
exaly  

Interpretability in Machine Learning – Principles and Practice

2013
Theoretical advances in machine learning have been reflected in many research implementations including in safety-critical domains such as medicine. However this has not been reflected in a large number of practical applications used by domain experts.
openaire   +1 more source

Towards expert–machine collaborations for technology valuation: An interpretable machine learning approach

Technological Forecasting and Social Change, 2022
Juram Kim, Gyumin Lee, Changyong Lee
exaly  

New statistical learning perspective for design of a physically interpretable prototypical neural network for machine condition monitoring

Mechanical Systems and Signal Processing, 2023
Bingchang Hou, Tongtong Yan, Changqing Shen   +2 more
exaly  

Opening the Black Box: Interpretable Machine Learning for Geneticists

Trends in Genetics, 2020
Christina B Azodi, Jiliang Tang, Shin-Han Shiu   +2 more
exaly  

Exchange rates forecasting and trend analysis after the COVID-19 outbreak: new evidence from interpretable machine learning

Applied Economics Letters, 2023
You Wu
exaly  

Machine Learning Interpretation Tools

2020
openaire   +1 more source

Advancing Computational Toxicology by Interpretable Machine Learning

Environmental Science & Technology, 2023
Xuelian Jia, Tong Wang, Hao Zhu
exaly  

Modeling and optimization of the NOX generation characteristics of the coal-fired boiler based on interpretable machine learning algorithm

International Journal of Green Energy, 2022
Meirong Dong, Youcai Liang, Jidong Lu
exaly