M. Castellano Quero, M. Castillo-Lopez, J.A. Fernandez-Madrigal, V. Arevalo-Espejo, H. Voos, A. Garcia-Cerezo,

A Multidimensional Bayesian Architecture for Real-Time Anomaly Detection and Recovery in Mobile Robot Sensory Systems

Engineering Applications of Artificial Intelligence, vol. 125, pp. 106673, 2023, (Q1, T1).

M. Castellano Quero, J.A. Fernandez-Madrigal, A. Garcia-Cerezo,

Improving Bayesian inference efficiency for sensory anomaly detection and recovery in mobile robots

Expert Systems With Applications, vol. 163, 2021, (Q1, T1).

M. Castellano Quero, J.A. Fernandez-Madrigal, A. Garcia-Cerezo,

Statistical Study of the Performance of Recursive Bayesian Filters with Abnormal Observations from Range Sensors

MDPI Sensors, vol. 20, no. 15, pp. 4159, 2020, (Q1, T1).

M. Castellano Quero, J.A. Fernandez-Madrigal, A. Garcia-Cerezo,

Integrating Multiple Sources of Knowledge for the Intelligent Detection of Anomalous Sensory Data in a Mobile Robot

ROBOT'2019: Fourth Iberian Robotics Conference, Porto (Portugal), School of Engineering, Porto Polytechnic, ISEP, 2019.

M. Castellano Quero, J.A. Fernandez-Madrigal, A. Garcia-Cerezo,

Hacia la diagnosis y recuperación de sensores robóticos a bajo nivel mediante inferencia bayesiana (in Spanish)

XXXIX Jornadas de Automática, Badajoz (Spain), 2018.

M. Castellano Quero, J.A. Fernandez-Madrigal, A. Garcia-Cerezo,

Interactive Construction of Bayesian Inference Networks for Robust Robot Sensorics

XIV Simposio CEA de Control Inteligente (SCI 2018), Málaga (Spain), 2018.

M. Castellano Quero, I. Fernandez Vega, J.A. Fernandez-Madrigal, A. Cruz-Martin,

Métodos de inferencia bayesiana empotrados para el diagnóstico y mejora sensoriales de un robot móvil (in spanish)

II Jornadas de Computación Empotrada y Reconfigurable (JCER2017), Málaga (Spain), 2017.