Results 51 to 60 of about 6,098 (213)
Land Degradation &Development, EarlyView.ABSTRACT Soil organic matter (SOM) is a key indicator of land degradation and soil functioning. It plays an essential role in nutrient cycling, soil structure, and long‐term agroecosystem resilience. The variations of surface cover, soil moisture and soil texture heterogeneity will affect the accuracy of SOM remote sensing mapping. This study developed
Xuzhou Qu +8 more
wiley +1 more source
A knowledge-driven AutoML architecture
CoRR, 2023 This paper proposes a knowledge-driven AutoML architecture for pipeline and deep feature synthesis. The main goal is to render the AutoML process explainable and to leverage domain knowledge in the synthesis of pipelines and features. The architecture explores several novel ideas: first, the construction of pipelines and deep features is approached in ...
Corneliu Cofaru, Johan Loeckx
openaire +2 more sources
Optimizing Automated Machine Learning for Ensemble Performance and Overfitting Mitigation
Aptisi Transactions on TechnopreneurshipAutomated Machine Learning (AutoML) has revolutionized model development, but its impact on ensemble diversity and overfitting reduction remains underexplored.
Migunani Migunani +2 more
doaj +1 more source
Benchmarking AutoML for regression tasks on small tabular data in materials design
Scientific Reports, 2022 Machine Learning has become more important for materials engineering in the last decade. Globally, automated machine learning (AutoML) is growing in popularity with the increasing demand for data analysis solutions.
Felix Conrad +4 more
doaj +1 more source
Diagnosis of Portal Hypertension: Advancing Towards Non‐Invasive Solutions
Portal Hypertension &Cirrhosis, EarlyView.This review systematically summarizes a full spectrum of non‐invasive diagnostic approaches for portal hypertension (PH), including imaging modalities, elastography, serum biomarkers, composite scoring systems and endoscopic ultrasound‐guided portal pressure gradient (EUS‐PPG), and analyzes their performance across different liver disease etiologies ...
Lijia Yin, Huikuan Chu, Ling Yang
wiley +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Strategic Entrepreneurship Journal, EarlyView.Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Modeling effect of different automl algorithms.
, 2021 Modeling effect of different automl algorithms.
Fenfen Liu (11520229) +2 more
core +1 more source
AutoML for Climate Change: A Call to Action [PDF]
, 2022 The challenge that climate change poses to humanity has spurred a rapidly developing field of artificial intelligence research focused on climate change applications.
Prasad, Vishak +9 more
core +1 more source
Medicine AdvancesMachine learning (ML) has achieved substantial success in performing healthcare tasks in which the configuration of every part of the ML pipeline relies heavily on technical knowledge.
Han Yuan +4 more
doaj +1 more source
Automated machine learning with R: AutoML tools for beginners in clinical research
Journal of Minimally Invasive SurgeryRecently, interest in machine learning (ML) has increased as the application fields have expanded significantly. Although ML methods excel in many fields, establishing an ML pipeline requires considerable time and human resources.
Youngho Park
doaj +1 more source