Robust Multi-Task Feature Selection with Counterfactual Explanation for Schizophrenia Identification using Functional Brain Networks
The data is not publicly available due to permission reasons. The data are available from the corresponding author on reasonable request.
The counterfactual interpretation based on the DiCE framework. For more details, please visit: https://github.com/interpretml/DiCE.
This project was implemented on Python 3.7.
Install this project using pip:
pip install dice-ml- [1]Paper
Mothilal, Ramaravind K., Amit Sharma, and Chenhao Tan. "Explaining machine learning classifiers through diverse counterfactual explanations." Proceedings of the 2020 conference on fairness, accountability, and transparency. 2020.
- [2]Paper
Ding, Weiping, et al. "Evolutionary multistage multitasking method for feature selection in imbalanced data." Swarm and Evolutionary Computation 92 (2025): 101821.
Since the paper has not been accepted yet, only part of the test code is uploaded, and it will be updated after acceptance.