David
Fernández Barrero
Profesor/a Titular Universidad
Publicaciones (59) Publicaciones de David Fernández Barrero
2023
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Breaking CaptchaStar Using the BASECASS Methodology
ACM Transactions on Internet Technology, Vol. 23, Núm. 1
2021
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An Analysis of the Time Aggregation Influence on Patients Forecasting in Emergency Services
Proceedings - 2021 47th Latin American Computing Conference, CLEI 2021
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BASECASS: A methodology for CAPTCHAs security assurance
Journal of Information Security and Applications, Vol. 63
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Continuous energy consumption measure approach using a DMA double-buffering technique
Eurasip Journal on Wireless Communications and Networking, Vol. 2021, Núm. 1
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Patients Forecasting in Emergency Services by Using Machine Learning and Exogenous Variables
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Soprene: Assessment of the spanish armada’s predictive maintenance tool for naval assets
Applied Sciences (Switzerland), Vol. 11, Núm. 16
2020
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A simulator to support machine learning-based wearable fall detection systems
Electronics (Switzerland), Vol. 9, Núm. 11, pp. 1-15
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R2P2: un simulador robótico para la enseñanza de Inteligencia Artificial
Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 5, pp. 285-292
2019
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LARES: An AI-based teleassistance system for emergency home monitoring
Cognitive Systems Research, Vol. 56, pp. 213-222
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MoBAr: a Hierarchical Action-Oriented Autonomous Control Architecture
Journal of Intelligent and Robotic Systems: Theory and Applications, Vol. 94, Núm. 3-4, pp. 745-760
2017
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A low power consumption algorithm for efficient energy consumption in ZigBee motes
Sensors (Switzerland), Vol. 17, Núm. 10
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A virtual reality mission planner for mars rovers
Proceedings - 6th IEEE International Conference on Space Mission Challenges for Information Technology, SMC-IT 2017
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Evolutionary generation and degeneration of randomness to assess the indepedence of the Ent test battery
2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings
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Improving experimental methods on success rates in evolutionary computation
Journal of Experimental and Theoretical Artificial Intelligence, Vol. 29, Núm. 4, pp. 695-716
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Machine learning approach to detect falls on elderly people using sound
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Using machine learning to identify common flaws in CAPTCHA design: FunCAPTCHA case analysis
Computers and Security, Vol. 70, pp. 744-756
2016
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Machine learning and empathy: The Civil Rights CAPTCHA
Concurrency and Computation: Practice and Experience
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Triaxial accelerometer located on the wrist for elderly people’s fall detection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Unified framework for path-planning and task-planning for autonomous robots
Robotics and Autonomous Systems, Vol. 82, pp. 1-14
2015
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A machine learning attack against the civil rights CAPTCHA
Studies in Computational Intelligence, Vol. 570, pp. 239-248