Search Results - "López Bernal, Sergio"
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Minimum data set harmonization in the management of cross-border Multi Casualty Incidents. Modified Delphi (VALKYRIES-H2020 project)
Published in PloS one (18-07-2024)“…There is a need to develop harmonized procedures and a Minimum Data Set (MDS) for cross-border Multi Casualty Incidents (MCI) in medical emergency scenarios to…”
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BEHACOM - a dataset modelling users’ behaviour in computers
Published in Data in brief (01-08-2020)“…This paper details the methodology and approach conducted to monitor the behaviour of twelve users interacting with their computers for fifty-five consecutive…”
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Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Published in IEEE Communications surveys and tutorials (2023)“…In recent years, Federated Learning (FL) has gained relevance in training collaborative models without sharing sensitive data. Since its birth, Centralized FL…”
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Fedstellar: A Platform for Decentralized Federated Learning
Published in Expert systems with applications (15-05-2024)“…In 2016, Google proposed Federated Learning (FL) as a novel paradigm to train Machine Learning (ML) models across the participants of a federation while…”
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Opportunities for standardization in emergency scenarios in the European Union
Published in International journal of medical informatics (Shannon, Ireland) (01-11-2023)“…Despite current standardization actions towards the unification between European Union (EU) countries, there is still much work to do. In this context, this…”
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Mitigating communications threats in decentralized federated learning through moving target defense
Published in Wireless networks (28-01-2024)“…Abstract The rise of Decentralized Federated Learning (DFL) has enabled the training of machine learning models across federated participants, fostering…”
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Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges
Published in Information fusion (01-05-2024)“…The primary goal of any company is to increase its profits by improving both the quality of its products and how they are advertised. In this context,…”
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Spotting Political Social Bots in Twitter: A Use Case of the 2019 Spanish General Election
Published in IEEE eTransactions on network and service management (01-12-2020)“…While social media has been proved as an exceptionally useful tool to interact with other people and massively and quickly spread helpful information, its…”
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SENIOR: An Intelligent Web-Based Ecosystem to Predict High Blood Pressure Adverse Events Using Biomarkers and Environmental Data
Published in Applied sciences (01-03-2021)“…Web platforms are gaining relevance in eHealth, where they ease the interaction between patients and clinician. However, some clinical fields, such as the…”
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Twitter social bots: The 2019 Spanish general election data
Published in Data in brief (01-10-2020)“…The term social bots refer to software-controlled accounts that actively participate in the social platforms to influence public opinion toward desired…”
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SAFECAR: A Brain–Computer Interface and intelligent framework to detect drivers’ distractions
Published in Expert systems with applications (01-10-2022)“…As recently reported by the World Health Organization (WHO), the high use of intelligent devices such as smartphones, multimedia systems, or billboards causes…”
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Impact of neural cyberattacks on a realistic neuronal topology from the primary visual cortex of mice
Published in Wireless networks (25-01-2024)“…Abstract Brain-computer interfaces (BCIs) are widely used in medical scenarios to treat neurological conditions, such as Parkinson’s disease or epilepsy, when…”
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Neuronal Jamming cyberattack over invasive BCIs affecting the resolution of tasks requiring visual capabilities
Published in Computers & security (01-01-2022)“…Invasive Brain-Computer Interfaces (BCIs) are extensively used in medical application scenarios to record, stimulate, or inhibit neural activity with different…”
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Towards the mitigation of distributed denial-of-service cyberbioattacks in bacteria-based biosensing systems
Published in Digital signal processing (01-11-2021)“…In recent years, bacterial populations have been engineered to act as biological sensors able to improve human health by developing novel therapeutics and…”
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Studying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography
Published in Cognitive computation (01-05-2024)“…Driver drowsiness is a significant concern and one of the leading causes of traffic accidents. Advances in cognitive neuroscience and computer science have…”
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Analyzing the impact of Driving tasks when detecting emotions through brain–computer interfaces
Published in Neural computing & applications (01-04-2023)“…Traffic accidents are the leading cause of death among young people, a problem that today costs an enormous number of victims. Several technologies have been…”
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Fedstellar: A Platform for Decentralized Federated Learning
Published 08-04-2024“…In 2016, Google proposed Federated Learning (FL) as a novel paradigm to train Machine Learning (ML) models across the participants of a federation while…”
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Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Published 13-09-2023“…In recent years, Federated Learning (FL) has gained relevance in training collaborative models without sharing sensitive data. Since its birth, Centralized FL…”
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Noise-based cyberattacks generating fake P300 waves in brain–computer interfaces
Published in Cluster computing (01-02-2022)“…Most of the current Brain–Computer Interfaces (BCIs) application scenarios use electroencephalographic signals (EEG) containing the subject’s information. It…”
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Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling
Published in IEEE access (01-01-2020)“…Brain-Computer Interfaces (BCI) arose as systems that merge computing systems with the human brain to facilitate recording, stimulation, and inhibition of…”
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