A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications
Artificial Intelligence (AI) is becoming fundamental in almost all activity sectors in our society.
However, most of the modern AI techniques (eg, Machine Learning–ML) have a black box …
However, most of the modern AI techniques (eg, Machine Learning–ML) have a black box …
Other's shoes also fit well: AI technologies contribute to China's blue skies as well as carbon reduction
Artificial intelligence (AI) technology represents a disruptive innovation that has garnered
significant interest among researchers for its potential applications in ecological and …
significant interest among researchers for its potential applications in ecological and …
Consumers' Financial Distress: Prediction and Prescription Using Interpretable Machine Learning
This paper shows how transactional bank account data can be used to predict and to
prevent financial distress in consumers. Machine learning methods were used to identify the …
prevent financial distress in consumers. Machine learning methods were used to identify the …
Balancing energy consumption and thermal comfort in buildings: a multi-criteria framework
The present study proposes a multi-criteria framework that focuses on two conflicting
objectives typically encountered in building energy management systems: energy …
objectives typically encountered in building energy management systems: energy …