An explainable machine learning model reliably predicts two-month treatment responses in melanoma brain metastases treated ...
Phytochemicals are bioactive compounds derived from plants, such as flavonoids, alkaloids and ginsenosides. They are key ...
In this paper, explainable artificial intelligence (XAI) based prediction is used for gate all around (GAA) MOSFET to predict its electrical behaviour. The data set is produced using TCAD simulations ...
Lung cancer (LC) is a leading cause of cancer-related mortality in the United States. Accurate prediction of LC mortality rates is crucial for guiding targeted interventions and addressing health ...
This retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest ...
Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights—including a model-estimated probability score for ...
Contribute to Praveshika2k/Graph-based-cryptocurrency-fraud-detection-with-explainable-machine-learning development by creating an account on GitHub.
This course explores the field of Explainable AI (XAI), focusing on techniques to make complex machine learning models more transparent and interpretable. Students will learn about the need for XAI, ...
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