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Deep ensemble multitask classification of emergency medical call incidents combining multimodal data improves emergency medical dispatch

Ferri-Borredà, Pablo; Sáez Silvestre, Carlos; Felix-De Castro, Antonio; Juan-Albarracín, Javier; Blanes-Selva, Vicent; Sánchez-Cuesta, Purificación; Garcia-Gomez, Juan M (Elsevier, 2021-07)

[EN] The objective of this work was to develop a predictive model to aid non-clinical dispatchers to classify emergency medical call incidents by their life-threatening level (yes/no), admissible response delay (undelayable, ...
Optimized Feature Subset Selection Using Genetic Algorithm for Preterm Labor Prediction Based on Electrohysterography

Nieto-del-Amor, Félix; Prats-Boluda, Gema; Martínez-de-Juan, José L.; Díaz-Martínez, María del Alba; Monfort-Ortiz, Rogelio; Diago-Almela, Vicente Jose; Ye Lin, Yiyao (MDPI AG, 2021-05)

[EN] Electrohysterography (EHG) has emerged as an alternative technique to predict preterm labor, which still remains a challenge for the scientific-technical community. Based on EHG parameters, complex classification ...
Suitability of various machine learning approaches for recognition of antisocial behaviour on social networks

Machová, Kristína; Tomčík, Tomáš (Editorial Universitat Politècnica de València, 2023-09-22)

[EN] Nowadays, social networks allow web users to express publicly agreement or disagreement with other people and express freely their opinions. This freedom is often abused and that is why we can see social networks that ...

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Listar por palabra clave "Ensemble learning"

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