Sergio
Lopez Bernal
Investigador Doctor
University of Zurich
Zúrich, SuizaPublicaciones en colaboración con investigadores/as de University of Zurich (25)
2024
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Corrigendum to “Fedstellar: A platform for decentralized federated learning” [Expert Syst. Appl. 242 (2024) 122861] (S0957417423033638), (10.1016/j.eswa.2023.122861)
Expert Systems with Applications
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Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges
Information Fusion, Vol. 105
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Fedstellar: A Platform for Decentralized Federated Learning
Expert Systems with Applications, Vol. 242
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Impact of neural cyberattacks on a realistic neuronal topology from the primary visual cortex of mice
Wireless Networks
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Mitigating communications threats in decentralized federated learning through moving target defense
Wireless Networks
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NeuronLab: BCI framework for the study of biosignals
Neurocomputing, Vol. 598
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Privacy-preserving hierarchical federated learning with biosignals to detect drowsiness while driving
Neural Computing and Applications, Vol. 36, Núm. 32, pp. 20425-20437
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Studying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography
Cognitive Computation, Vol. 16, Núm. 3, pp. 1253-1267
2023
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Analyzing the impact of Driving tasks when detecting emotions through brain–computer interfaces
Neural Computing and Applications, Vol. 35, Núm. 12, pp. 8883-8901
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Avances en ciberseguridad en interfaces cerebro-máquina: evolución y trabajo futuro
Actas de las VIII Jornadas Nacionales de Investigación en Ciberseguridad: Vigo, 21 a 23 de junio de 2023
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Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
IEEE Communications Surveys and Tutorials, Vol. 25, Núm. 4, pp. 2983-3013
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Eight Reasons to Prioritize Brain-Computer Interface Cybersecurity
Communications of the ACM, Vol. 66, Núm. 4, pp. 68-78
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Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion
IJCAI International Joint Conference on Artificial Intelligence
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Framework seguro para entrenar modelos de inteligencia artificial federados y descentralizados
Actas de las VIII Jornadas Nacionales de Investigación en Ciberseguridad: Vigo, 21 a 23 de junio de 2023
2022
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A Review of Neuronal Jamming Cyberattack overInvasive BCIs Affecting the Resolution of TasksRequiring Visual Capabilities
Investigación en Ciberseguridad Actas de las VII Jornadas Nacionales (7º.2022.Bilbao) (Fundación Tecnalia Research and Innovation), pp. 281-282
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A Review of Noise-based Cyberattacks GeneratingFake P300 Waves in Brain-Computer Interfaces
Investigación en Ciberseguridad Actas de las VII Jornadas Nacionales (7º.2022.Bilbao) (Fundación Tecnalia Research and Innovation), pp. 273-274
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Neuronal Jamming cyberattack over invasive BCIs affecting the resolution of tasks requiring visual capabilities
Computers and Security, Vol. 112
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Noise-based cyberattacks generating fake P300 waves in brain–computer interfaces
Cluster Computing, Vol. 25, Núm. 1, pp. 33-48
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SAFECAR: A Brain–Computer Interface and intelligent framework to detect drivers’ distractions
Expert Systems with Applications, Vol. 203
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Study of P300 Detection Performance by Different P300 Speller Approaches Using Electroencephalography
International Symposium on Medical Information and Communication Technology, ISMICT