Drift detection on feature attributions for monitoring visual reinforcement learning models in maritime port surveillance [version 1; peer review: 3 approved]

Background Maritime activity is expanding globally, increasing the demand for robust port security systems capable of detecting illegal trafficking. Due to the growing sophistication of smuggling methods, law enforcement agencies require advanced surveillance and prevention technologies such as thos...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Adrián Carrizo-Pérez, Beatrice Azoubel, Ignacio Arganda-Carreras, Andrés Chica Linares, Luis Unzueta, Francisco Javier Iriarte
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	F1000 Research Ltd 2026-01-01
Saila:	Open Research Europe
Gaiak:	Visual Reinforcement Learning Drift Detection Explainable AI Continuous Model Monitoring Maritime Port Surveillance eng
Sarrera elektronikoa:	https://open-research-europe.ec.europa.eu/articles/6-2/v1
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!