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A bibliometric analysis and benchmark of machine learning and automl in crash severity prediction: The case study of three colombian cities
Traffic accidents are of worldwide concern, as they are one of the leading causes of death
globally. One policy designed to cope with them is the design and deployment of road safety …
globally. One policy designed to cope with them is the design and deployment of road safety …
[HTML][HTML] AutoML insights: Gaining confidence to Operationalize Predictive models
Automated machine learning (AutoML) tools empower organizations to unlock valuable new
business insights, integrate advanced AI capabilities into applications, and enable both data …
business insights, integrate advanced AI capabilities into applications, and enable both data …
Towards efficient and explainable automated machine learning pipelines design: Application to industry 4.0 data
M Garouani - 2022 - theses.hal.science
Machine learning (ML) has penetrated all aspects of the modern life, and brought more
convenience and satisfaction for variables of interest. However, building such solutions is a …
convenience and satisfaction for variables of interest. However, building such solutions is a …
Accident Severity Prediction in Big Data Using Auto-Machine Learning
Estimating the severity of a traffic accident is a problem in motor vehicle traffic because it
affects saving human life. If the severity value can be predicted before the accident occurs …
affects saving human life. If the severity value can be predicted before the accident occurs …
[PDF][PDF] SML-AutoML: A Smart Meta-Learning Automated Machine Learning Framework. Advances in Artificial Intelligence and Machine Learning. 2024; 4 (4): 176
I Gomaa - diabetes, 2024 - oajaiml.com
Abstract In recent years, Machine Learning (ML) and Automated Machine Learning (Auto-
ML) have attracted significant attention. The ML pipeline involves repetitive tasks such as …
ML) have attracted significant attention. The ML pipeline involves repetitive tasks such as …
Meme kanseri tahmininde makine öğrenmesi algoritmaları ve AutoML
A Karakaya - 2024 - gcris.pau.edu.tr
Makine öğrenmesi tıp dahil olmak üzere birçok alanda önemli rol oynamaktadır. Özellikle
sağlık alanında makine öğrenmesi çeşitli hastalıkların teşhis ve tedavisine yardımcı olan …
sağlık alanında makine öğrenmesi çeşitli hastalıkların teşhis ve tedavisine yardımcı olan …
SML-AutoML: A Smart Meta-Learning Automated Machine Learning Framework
Abstract Machine Learning (ML) and Automated Machine Learning (Auto-ML) had attracted
more attention and interest in industrial applications in recent years. Machine learning …
more attention and interest in industrial applications in recent years. Machine learning …
A Bibliometric Analysis and Benchmark of Machine Learning and AutoML in Crash Severity Prediction: The Case Study of Three Colombian Cities
GP Maestre Góngora, JS Angarita… - Sensors, 2021 - repository.ucc.edu.co
Traffic accidents are of worldwide concern, as they are one of the leading causes of death
globally. One policy designed to cope with them is the design and deployment of road safety …
globally. One policy designed to cope with them is the design and deployment of road safety …