output
20172025
most citedSuspicious Behavior Detection on Shoplifting Cases for Crime Prevention by Using 3D Convolutional Neural Networks

75 citations

11 papers

cs.LG2025★ 23 cited

A method for outlier detection based on cluster analysis and visual expert criteria

Juan A. Lara, David Lizcano, Víctor Rampérez +1

Outlier detection is an important problem occurring in a wide range of areas. Outliers are the outcome of fraudulent behaviour, mechanical faults, human error, or simply natural de…

cs.LG2025★ 12 cited

A visual big data system for the prediction of weather-related variables: Jordan-Spain case study

Shadi Aljawarneh, Juan A. Lara, Muneer Bani Yassein

The Meteorology is a field where huge amounts of data are generated, mainly collected by sensors at weather stations, where different variables can be measured. Those data have som…

cs.DC2025★ 18 cited

From SLA to vendor-neutral metrics: An intelligent knowledge-based approach for multi-cloud SLA-based broker

Víctor Rampérez, Javier Soriano, David Lizcano +2

Cloud computing has been consolidated as a support for the vast majority of current and emerging technologies. However, there are some barriers that prevent the exploitation of the…

cs.MA2025★ 6 cited

Structures generated in a multiagent system performing information fusion in peer-to-peer resource-constrained networks

Horacio Paggi, Juan A. Lara, Javier Soriano

There has recently been a major advance with respect to how information fusion is performed. Information fusion has gone from being conceived as a purely hierarchical procedure, as…

cs.DC2025★ 34 cited

FLAS: a combination of proactive and reactive auto-scaling architecture for distributed services

Víctor Rampérez, Javier Soriano, David Lizcano +1

Cloud computing has established itself as the support for the vast majority of emerging technologies, mainly due to the characteristic of elasticity it offers. Auto-scalers are the…

cs.AI2024★ 20 cited

Improving the portability of predicting students performance models by using ontologies

Javier Lopez Zambrano, Juan A. Lara, Cristobal Romero

One of the main current challenges in Educational Data Mining and Learning Analytics is the portability or transferability of predictive models obtained for a particular course so…

cs.DC2024★ 3 cited

Leveraging knowledge-as-a-service (KaaS) for QoS-aware resource management in multi-user video transcoding

Luis Costero, Francisco D. Igual, Katzalin Olcoz +1

The coexistence of parallel applications in shared computing nodes, each one featuring different Quality of Service (QoS) requirements, carries out new challenges to improve resour…

cs.CV2020★ 75 cited

Suspicious Behavior Detection on Shoplifting Cases for Crime Prevention by Using 3D Convolutional Neural Networks

Guillermo A. Martínez-Mascorro, José R. Abreu-Pederzini, José C. Ortiz-Bayliss +1

Crime generates significant losses, both human and economic. Every year, billions of dollars are lost due to attacks, crimes, and scams. Surveillance video camera networks are gene…

q-bio.NC2018

Static Internal Representation Of Dynamic Situations Reveals Time Compaction In Human Cognition

Jose Antonio Villacorta-Atienza, Carlos Calvo-Tapia, Sergio Diez-Hermano +7

The time-changing nature of our world demands processing of huge amounts of information in fast and reliable way to generate successful behaviors. Therefore, significant brain reso…

math.AP2017★ 25 cited

Distance of attractors for thin domains

José M. Arrieta, Esperanza Santamaría

In this work we consider a dissipative reaction-diffusion equation in a -dimensional thin domain shrinking to a one dimensional segment and obtain good rates for the convergence…

math.AP2017

-Estimates on the distance of Inertial Manifolds

José M. Arrieta, Esperanza Santamaría

In this paper we obtain -estimates on the distance of inertial manifolds for dynamical systems generated by evolutionary parabolic type equations. We consider the situatio…