Explainable artificial intelligence: a comprehensive review
Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …
Automated emotion recognition: Current trends and future perspectives
Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …
recognition has applications in multiple domains such as health care, e-learning …
The state of the art in enhancing trust in machine learning models with the use of visualizations
Abstract Machine learning (ML) models are nowadays used in complex applications in
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …
A visual analytics framework for explaining and diagnosing transfer learning processes
Many statistical learning models hold an assumption that the training data and the future
unlabeled data are drawn from the same distribution. However, this assumption is difficult to …
unlabeled data are drawn from the same distribution. However, this assumption is difficult to …
A survey of visual analytic pipelines
Visual analytics has been widely studied in the past decade. One key to make visual
analytics practical for both research and industrial applications is the appropriate definition …
analytics practical for both research and industrial applications is the appropriate definition …
Recent progress and trends in predictive visual analytics
A wide variety of predictive analytics techniques have been developed in statistics, machine
learning and data mining; however, many of these algorithms take a black-box approach in …
learning and data mining; however, many of these algorithms take a black-box approach in …
Data-driven analysis and prediction of stable phases for high-entropy alloy design
High-entropy alloys (HEAs) represent a promising class of materials with exceptional
structural and functional properties. However, their design and optimization pose challenges …
structural and functional properties. However, their design and optimization pose challenges …
Stock volatility prediction by hybrid neural network
Y Wang, H Liu, Q Guo, S Xie, X Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
Stock price volatility forecasting is a hot topic in time series prediction research, which plays
an important role in reducing investment risk. However, the trend of stock price not only …
an important role in reducing investment risk. However, the trend of stock price not only …
Hierarchical support vector machine for facial micro-expression recognition
H Pan, L Xie, Z Lv, J Li, Z Wang - Multimedia Tools and Applications, 2020 - Springer
The sample category distribution of spontaneous facial micro-expression datasets is
unbalanced, due to the experimental environment, collection equipment, and …
unbalanced, due to the experimental environment, collection equipment, and …
Explaining black box models by means of local rules
Many high performance machine learning methods produce black box models, which do not
disclose their internal logic yielding the prediction. However, in many application domains …
disclose their internal logic yielding the prediction. However, in many application domains …