IFC/Editorial Board
Interpretable data science for decision making
Data engineering for fraud detection
LINDA-BN: An interpretable probabilistic approach for demystifying black-box predictive models
Autoencoders for strategic decision support
Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling
A new approximate belief rule base expert system for complex system modelling
Session stitching using sequence fingerprinting for web page visits
A probabilistic Bayesian inference model to investigate injury severity in automobile crashes
Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering
Telecom traffic pumping analytics via explainable data science
Uplift modeling with value-driven evaluation metrics