[HTML][HTML] Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease
diagnosis with their outstanding image classification performance. In spite of the outstanding …
diagnosis with their outstanding image classification performance. In spite of the outstanding …
Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey
W Ding, M Abdel-Basset, H Hawash, AM Ali - Information Sciences, 2022 - Elsevier
The continuous advancement of Artificial Intelligence (AI) has been revolutionizing the
strategy of decision-making in different life domains. Regardless of this achievement, AI …
strategy of decision-making in different life domains. Regardless of this achievement, AI …
Interpretable machine learning–a brief history, state-of-the-art and challenges
We present a brief history of the field of interpretable machine learning (IML), give an
overview of state-of-the-art interpretation methods and discuss challenges. Research in IML …
overview of state-of-the-art interpretation methods and discuss challenges. Research in IML …
Benchmarking and survey of explanation methods for black box models
The rise of sophisticated black-box machine learning models in Artificial Intelligence
systems has prompted the need for explanation methods that reveal how these models work …
systems has prompted the need for explanation methods that reveal how these models work …
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
F Di Martino, F Delmastro - Artificial Intelligence Review, 2023 - Springer
Abstract Nowadays Artificial Intelligence (AI) has become a fundamental component of
healthcare applications, both clinical and remote, but the best performing AI systems are …
healthcare applications, both clinical and remote, but the best performing AI systems are …
[HTML][HTML] Relation between prognostics predictor evaluation metrics and local interpretability SHAP values
Maintenance decisions in domains such as aeronautics are becoming increasingly
dependent on being able to predict the failure of components and systems. When data …
dependent on being able to predict the failure of components and systems. When data …
Sentiment analysis of customer reviews of food delivery services using deep learning and explainable artificial intelligence: Systematic review
During the COVID-19 crisis, customers' preference in having food delivered to their doorstep
instead of waiting in a restaurant has propelled the growth of food delivery services (FDSs) …
instead of waiting in a restaurant has propelled the growth of food delivery services (FDSs) …
[HTML][HTML] Interpretable machine learning for imbalanced credit scoring datasets
The class imbalance problem is common in the credit scoring domain, as the number of
defaulters is usually much less than the number of non-defaulters. To date, research on …
defaulters is usually much less than the number of non-defaulters. To date, research on …
Interpretable machine learning with an ensemble of gradient boosting machines
AV Konstantinov, LV Utkin - Knowledge-Based Systems, 2021 - Elsevier
A method for the local and global interpretation of a black-box model on the basis of the well-
known generalized additive models is proposed. It can be viewed as an extension or a …
known generalized additive models is proposed. It can be viewed as an extension or a …
Statistical stability indices for LIME: Obtaining reliable explanations for machine learning models
Nowadays we are witnessing a transformation of the business processes towards a more
computation driven approach. The ever increasing usage of Machine Learning techniques is …
computation driven approach. The ever increasing usage of Machine Learning techniques is …