Results 121 to 130 of about 6,098 (213)

AutoML in The Wild: Obstacles, Workarounds, and Expectations

Automated machine learning (AutoML) is envisioned to make ML techniques accessible to ordinary users. Recent work has investigated the role of humans in enhancing AutoML functionality throughout a standard ML workflow.
Sun, Yuan, Ma, Fenglong, Wang, Ting, Gui, Xinning, Song, Qiurong   +4 more
core   +1 more source

Aplicación de sistema de recomendación en pasarela de pagos nacional

Serie Científica de la Universidad de las Ciencias Informáticas
El auge de los pagos electrónicos y su desarrollo a través de las pasarelas nacionales suponen un reto para la toma de decisiones encaminadas a potenciar los pagos de servicios.
Lesdaniel Herrera Reyes
doaj  

Centrifugal pump and electrical motor fault detection with motor current signature analysis and automated machine learning

Записки Горного института
Centrifugal pumps, as key components of hydraulic systems, play a fundamental role in ensuring the reliable operation of numerous industrial processes in sectors such as energy, chemical production, and oil refining, where uninterrupted equipment ...
Roman R. Khalikov, Mikhail Yu. Chernetskiy, Ilia E. Revin, Vadim A. Potemkin   +3 more
doaj  

Automated machine learning to foster AI development processes: an explorative study. [PDF]

Front Artif Intell
Polzer AK, Thalmann S.
europepmc   +1 more source

Code-Free Automated Machine-Learning (AutoML) Classification of Curated MRI Images Labeled for Rare Neurological Diseases: An Image-Level Proof-of-Concept Study. [PDF]

Cureus
Bachir MA, Nawathey N, Bachir A, Reddy AJ, Cheema JK, Patel R.   +5 more
europepmc   +1 more source

AutoML: A Tertiary Study of Phases, Methods, Tools, and Frameworks

bstract. Automated Machine Learning (AutoML) plays a pivotal role in making machine learning more accessible by automating key steps in the model development process.
Keerthiga Rajenthiram, Patricia Lago, Pauline Delporte   +2 more
core  

Early malaria risk screening in Nigerian minors using AutoML and cluster-based analysis of non-clinical survey data. [PDF]

PLOS Digit Health
Khan AR, Mahbub N, Aziz RA, Siddique MH, Sayeem ZI.   +4 more
europepmc   +1 more source

Prediction of moderate-to-severe postoperative thirst in general anesthesia patients based on automated machine learning and clinical nursing translation. [PDF]

Front Med (Lausanne)
Zhan Y, Yang S, Wang H.
europepmc   +1 more source

Construction of a predictive model for the efficacy of enhanced external counterpulsation therapy in patients with heart failure with preserved ejection fraction based on automated machine learning and echocardiography. [PDF]

Front Cardiovasc Med
Zhang X, Zeng F, Liu J, Zeng M, Zhou L, Wang X.   +5 more
europepmc   +1 more source

A blockchain-empowered AutoML reputation system for anonymous customer service in SMEs. [PDF]

Front Artif Intell
Annamalai S, Ravi L.
europepmc   +1 more source