A survey on the explainability of supervised machine learning
N Burkart, MF Huber - Journal of Artificial Intelligence Research, 2021 - jair.org
Predictions obtained by, eg, artificial neural networks have a high accuracy but humans
often perceive the models as black boxes. Insights about the decision making are mostly …
often perceive the models as black boxes. Insights about the decision making are mostly …
A survey of methods for explaining black box models
In recent years, many accurate decision support systems have been constructed as black
boxes, that is as systems that hide their internal logic to the user. This lack of explanation …
boxes, that is as systems that hide their internal logic to the user. This lack of explanation …
[HTML][HTML] Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …
applications, but the outcomes of many AI models are challenging to comprehend and trust …
Explainable artificial intelligence: a systematic review
Explainable Artificial Intelligence (XAI) has experienced a significant growth over the last few
years. This is due to the widespread application of machine learning, particularly deep …
years. This is due to the widespread application of machine learning, particularly deep …
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees
Decision trees and logistic regression are two very popular algorithms in customer churn
prediction with strong predictive performance and good comprehensibility. Despite these …
prediction with strong predictive performance and good comprehensibility. Despite these …
Comprehensible classification models: a position paper
AA Freitas - ACM SIGKDD explorations newsletter, 2014 - dl.acm.org
The vast majority of the literature evaluates the performance of classification models using
only the criterion of predictive accuracy. This paper reviews the case for considering also the …
only the criterion of predictive accuracy. This paper reviews the case for considering also the …
A survey on XAI and natural language explanations
The field of explainable artificial intelligence (XAI) is gaining increasing importance in recent
years. As a consequence, several surveys have been published to explore the current state …
years. As a consequence, several surveys have been published to explore the current state …
A churn prediction model using random forest: analysis of machine learning techniques for churn prediction and factor identification in telecom sector
In the telecom sector, a huge volume of data is being generated on a daily basis due to a
vast client base. Decision makers and business analysts emphasized that attaining new …
vast client base. Decision makers and business analysts emphasized that attaining new …
[BOOK][B] Credit scoring and its applications
L Thomas, J Crook, D Edelman - 2017 - SIAM
Credit Scoring and Its Applications, Second Edition : Back Matter Page 1 Bibliography [1]
Acharya, VV, Bharath, ST, and Srinivasan, A. (2007) Does industry-wide distress affect …
Acharya, VV, Bharath, ST, and Srinivasan, A. (2007) Does industry-wide distress affect …
APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions
In the last decade, the ease of online payment has opened up many new opportunities for e-
commerce, lowering the geographical boundaries for retail. While e-commerce is still …
commerce, lowering the geographical boundaries for retail. While e-commerce is still …