Explainable Artificial Intelligence (XAI) seeks to render the operation and decisions of complex machine learning systems transparent and interpretable to users, regulators and other stakeholders. As ...

Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To delineate the metastatic microenvironment,, researchers in China have ...

Machine learning accurately distinguished peanut allergy from peanut sensitisation, highlighting its potential to support ...

Across the UK, financial institutions are using machine learning models to make decisions that affect millions of people. These decisions include credit approvals, fraud alerts, investment ...

This study applied three models—random forest (RF), gradient boosting regression (GBR), and linear regression (LR)—to predict county-level LC mortality rates ...

First-in-human PET imaging of 68Ga-FC516, a novel ACP3-targeted radiotracer for prostate cancer. This is an ASCO Meeting Abstract from the 2026 ASCO Annual Meeting I. This abstract does not include a ...

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, ...

EDGE, the cashflow bureau helping lenders turn bank transaction data into explainable, machine learning-developed scores and ...

고신대학교(총장 이정기) 언어치료학과 이연우 교수 연구팀의 연구논문이 음성 및 음성장애 분야의 국제학술지인 Journal of Voice에 게재가 확정됐다. 이번에 게재가 확정된 논문의 제목은 ‘Explainable Machine Learning fo ...