Results 201 to 210 of about 4,402 (251)
Beyond models: a paradigm shift toward human-centered AI system design. [PDF]
Abu Hussein NS +8 more
europepmc +1 more source
Localizing Knee Pain via Explainable Bayesian Generative Models and Counterfactual MRI: Data from the Osteoarthritis Initiative. [PDF]
Chuang TY, Lian PH, Kuo YC, Chang GH.
europepmc +1 more source
Application of Deep Learning in Virtual Power Plants—A Review
ABSTRACT The advancement of deep learning (DL) has substantially improved the power grid’s ability to model and optimise diverse and highly complex tasks. Although intelligent transformation is an inevitable trend, traditional approaches increasingly reveal limitations in computational efficiency, nonlinear nonconvex optimisation, and multi‐layer ...
Hongjie Zhu +7 more
wiley +1 more source
A comprehensive interpretable machine learning framework for mild cognitive impairment and Alzheimer's disease diagnosis. [PDF]
Vlontzou ME +5 more
europepmc +1 more source
The Earnings Premium to a Bachelor's Degree in Australia
ABSTRACT Introduction The income returns to a bachelor's degree in Australia declined in the period from 2001 to 2016. We attempt to uncover the drivers of this decline. Methods Our analysis investigates the income premium to a bachelor's degree through two lenses: (1) the effects of the demand for and supply of skill in the economy and (2) the effect ...
Michael Coelli, Jeff Borland
wiley +1 more source
The Consequences of Soil Organic Carbon for Crop Yield, Farm Productivity and Profit
ABSTRACT Crop choices affect soil organic carbon (SOC) stocks, allowing farmers to manipulate the amount of carbon sequestered in the soil over time. This paper examines the private and public benefits of crop rotations that sequester additional carbon across the province of Saskatchewan, Canada using a novel field‐level dataset from the Saskatchewan ...
Devin Allen Serfas
wiley +1 more source
Counterfactual Explanation-Based Cryptocurrency Price Prediction. [PDF]
Luo X, Yin W.
europepmc +1 more source
ABSTRACT The gender gap in risk preferences in rural farm households, with female farmers commonly viewed as more risk‐averse than their male counterparts, may have profound implications for addressing the gendered impacts of climate change. Understanding these gender differences and their drivers is essential for designing policies that enhance ...
Abebe Hailemariam +2 more
wiley +1 more source

