Multimodal Video Analysis for Crowd Anomaly Detection Using Open Access Tourism Cameras

Autor: Alejandro Dionis-Ros, Joan Vila-Francés, Rafael Magdalena-Benedito, Fernando Mateo, Antonio J. Serrano-López

Publikováno v: Applied Sciences, Vol 14, Iss 23, p 11075 (2024)

In this article, we propose the detection of crowd anomalies through the extraction of information in the form of time series in video format using a multimodal approach. Through pattern recognition algorithms and segmentation, informative measures o

Externí odkaz: https://doaj.org/article/4fa55f54245c4d7fbd8504e199562a51

P504: CLINICAL MUTATIONAL ANALYSIS BY NEXT-GENERATION SEQUENCING AND REAL-LIFE VALIDATION OF THE REVISED 2017 EUROPEAN LEUKEMIANET GENETIC RISK STRATIFICATION IN AML PATIENTS

Autor: C. Aparicio Pérez, F. Salas Hernandez, A. C. Gonzalez Teomiro, F. Jimenez Najar, I. Fernandez Camacho, C. Martin Calvo, J. Sánchez García, J. Serrano López

Publikováno v: HemaSphere, Vol 6, Pp 403-404 (2022)

Externí odkaz: https://doaj.org/article/01b2dd7493db41d5955143c69f2d6279

Approaching sales forecasting using recurrent neural networks and transformers

Autor: Iván Vallés-Pérez, Emilio Soria-Olivas, Marcelino Martínez-Sober, Antonio J. Serrano-López, Juan Gómez-Sanchís, Fernando Mateo

Publikováno v: Vallés-Pérez, I., Soria-Olivas, E., Martínez-Sober, M., Serrano-López, A. J., Gómez-Sanchís, J., & Mateo, F. (2022). Approaching sales forecasting using recurrent neural networks and transformers. Expert Systems with Applications, 201, 116993.

Accurate and fast demand forecast is one of the hot topics in supply chain for enabling the precise execution of the corresponding downstream processes (inbound and outbound planning, inventory placement, network planning, etc). We develop three alte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::432d97b8cb76554fbe46c6bcfd255e64
https://hdl.handle.net/10550/88380

Analysis of computer user behavior, security incidents and fraud using Self-Organizing Maps

Autor: Joan Vila-Francés, Antonio J. Serrano-López, Alberto Urueña López, José M. Martínez-Martínez, Fernando Mateo, Julio Navío-Marco, Juan Gómez-Sanchis

Publikováno v: Computers & Security. 83:38-51

This paper addresses several topics of great interest in computer security in recent years: computer users’ behavior, security incidents and fraud exposure on the Internet, due to their high economic and social cost. Traditional research has been b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bde9866cde25ade7218b8ea05ce46c4f
https://doi.org/10.1016/j.cose.2019.01.009

Machine learning for mortality analysis in patients with COVID-19

Autor: Pablo Rodríguez-Belenguer, Antonio J. Serrano-López, Emilio Soria-Olivas, Yasser Alakhdar-Mohmara, Manuel A. Sánchez-Montañés

Publikováno v: Biblos-e Archivo. Repositorio Institucional de la UAM
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International Journal of Environmental Research and Public Health, Vol 17, Iss 8386, p 8386 (2020)
International Journal of Environmental Research and Public Health
Volume 17
Issue 22

This paper analyzes a sample of patients hospitalized with COVID-19 in the region of Madrid (Spain). Survival analysis, logistic regression, and machine learning techniques (both supervised and unsupervised) are applied to carry out the analysis wher

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3f7dfc1b213b965cb2123c88f734549
http://hdl.handle.net/10486/697804