Recent machine learning-driven investigations into high entropy alloys: a comprehensive review
Y Yan, X Hu, Y Liao, Y Zhou, W He, T Zhou - Journal of Alloys and …, 2024 - Elsevier
The exploration of high entropy alloys (HEAs) primarily relies on trial-and-error experiments
and multiscale modelling, which are time-consuming and resource-intensive. Recently …
and multiscale modelling, which are time-consuming and resource-intensive. Recently …
Spatio-temporal feature attribution of European summer wildfires with Explainable Artificial Intelligence (XAI)
Wildfires are among the most destructive natural disasters globally. Understanding the
drivers behind wildfires is a crucial aspect of preventing and managing them. Machine …
drivers behind wildfires is a crucial aspect of preventing and managing them. Machine …
The black box dilemma: Challenges in human-AI collaboration in ML-CDSS
R Jain, R Srirambhatla, J Kessler… - The American Journal of …, 2024 - Taylor & Francis
In “What Are Humans Doing in the Loop? Co-Reasoning and Practical Judgment When
Using Machine Learning-Driven Decision Aids,” Salloch and Eriksen (2024) address the …
Using Machine Learning-Driven Decision Aids,” Salloch and Eriksen (2024) address the …
Exploring Explainable AI for Enhanced Depression Prediction in Mental Health
Depression is a prevalent mental health condition affecting millions of individuals worldwide.
This paper presents a comprehensive analysis using machine learning to predict …
This paper presents a comprehensive analysis using machine learning to predict …