Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

Reddit社区有一个名为r/place的像素作画活动，上百万人共同画一幅画，每个人在某个时间段内只能改变一个像素。人们在这个游戏里协作、对抗、突然“翻盘”。1月2日PNAS ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

The five-year, $584,034 project — “CAREER: Opening the Black Box: Advancing Interpretable Machine Learning for Computer Vision” — aims to bring greater transparency and accountability to AI-powered ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical challenges in steelmaking processes.