Portal de Transparencia

Actividad investigadora:

• Artículos en revistas
  • [2019] A Multi-agent Architecture for Mobile Sensing Systems
  • [2019] An Intelligent and Autoadaptive System of Virtual Identities Based on Deep Learning for the Analysis of Online Advertising Networks
  • [2019] Automatic Music Generation by Deep Learning
  • [2019] Prediction and Decision-Making in Intelligent Environments Supported by Knowledge Graphs, A Systematic Review
  • [2019] Prediction and decision-making in intelligent environments supported by knowledge graphs. A systematic review
  • [2019] Social Services Diagnosis by Deep Learning
  • [2019] Toward proactive social inclusion powered by machine learning
  • [2018] Toward proactive social inclusion powered by machine learning
  • [2016] A Survey of Twitter Rumor Spreading Simulations
  • [2016] Designing emergency management services by ontology driven social simulation
  • [2016] Modelling Rules for Automating the Evented Web by Semantic Technologies
  • [2016] Modelling rules for automating the Evented WEb by semantic technologies
  • [2016] Una introducción a la simulación social como método de aprendizaje
  • [2015] A Novel Agent-Based Rumor Spreading Model in Twitter
  • [2015] Designing emergency management services by ontology driven social simulation
  • [2015] Generation of human computational models with machine learning
  • [2015] Modelling Rules for Automating the Evented Web by Semantic Technologies
  • [2014] Generation of Human Computational Models with Knowledge Engineering
  • [2014] Generation of human computational models with machine learning
  • [2014] Evaluating social choice techniques into intelligent environments by agent based social simulation
  • [2014] Strategies for avoiding preference profiling in agent-based e-commerce environments
  • [2014] Strategies for avoiding preference profiling in agent-based e-commerce environments
  • [2014] Towards a holistic framework for the evaluation of emergency plans in indoor environments.
  • [2013] Robust design of multi-agent system interactions: a testing approach based on pattern matching
  • [2013] Strategies for avoiding preference profiling in agent-based e-commerce environments
  • [2013] Testing Context-Aware Services based on Smartphones by Agent Based Social Simulation
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• Capítulos de libros
  • [2014] Ambient Intelligence Services Personalization via Social Choice Theory
• Conferencias invitadas en congresos
  • [2015] Desarrollo y evaluación de sistemas de inteligencia ambiental con UbikSim
• Estancias y sabáticos recogidos en programas oficiales
  • [2019] estancia en NII (National Institute of Informatics) Principles of Informatics Research Division
  • [2019] estancia en Universidade da Coruña
  • [2018] Department of Computer Science at the University of Oxford
  • [2017] Universidad de Oxford, grupo de Machine Learning
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• Libros
  • [2017] Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017
• Ponencia en Congresos
  • [2019] An Agent-Based Model for exploring pension law and social security policies
  • [2019] An Intelligent and Autoadaptive System of Virtual Identities Based on Deep Learning for the Analysis of Online Advertising Networks
  • [2019] An Ontology-Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities
  • [2018] Aprendizaje experiencial en ciencia de datos: satisfacción de los estudiantes para tres modelos de enseñanza y aprendizaje
  • [2018] Creating and Improving Educational Materials: An Approach based on Crowdsourcing
  • [2017] A Multi-agent Architecture for Labeling -Data and Generating Prediction Models in the Field of Social Services
  • [2017] Aprendizaje experiencial en ciencia de datos: satisfacción de los estudiantes para tres modelos de enseñanza y aprendizaje
  • [2017] Estimación del riesgo de no superar una asignatura de evaluación continua mediante aprendizaje automático
  • [2017] Experiential learning in Data Science: from the dataset repository to the platform of experiences
  • [2017] Multi-agent Architecture for Labeling Data and Generating Prediction Models in the Field of Social Services
  • [2017] Métodos, experiencias y herramientas para el aprendizaje experiencial de la Ciencia de Datos.
  • [2017] Predicting the risk of suffering chronic social exclusion with machine learning
  • [2017] Predicting the risk of suffering chronic social exclusion with machine learning
  • [2017] Towards Social Care Prediction Services Aided by Multi-agent Systems
  • [2016] A Novel Agent-Based Rumor Spreading Model in Twitter,
  • [2015] A Novel Agent-Based Rumor Spreading Model in Twitter
  • [2015] A Novel Agent-Based Rumor Spreading Model in Twitter,
  • [2015] An integrated framework for enabling end-user configuration of AmI simulations for open wide locations
  • [2014] Ambient Intelligence Services Personalization via Social Choice Theory
  • [2014] Creating and validating emergency management services by social simulation and semantic web technologies
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• Ponencias en congresos de innovación educativa
  • [2019] A Moderate Experiential Learning Approach Applied on Data Science
• Proyectos de I+D+i
  • [2019] UN SISTEMA INTELIGENTE Y AUTO-AADAPTATIVO DE IDENTIDADES VIRTUALES PARA EL ANÁLISIS DE REDES DE PUBLICIDAD ONLINE (DEEPAD)
  • [2017] ELABORACIÓN DE MODELOS MATEMÁTICOS PARA REALIZAR UNA SEGMENTACIÓN POBLACIONAL DE LAS PERSONAS USUARIAS DE LOS SERVICIOS SOCIALES DE CASTILLA Y LEÓN Y LA PREDICCIÓN DE RIESGOS PERSONALES DE CRONIFICACIÓN DE LA EXCLUSIÓN SOCIAL
  • [2016] ELABORACIÓN DE MODELOS MATEMÁTICOS PARA REALIZAR UNA SEGMENTACIÓN POBLACIONAL DE LAS PERSONAS USUARIAS DE LOS SERVICIOS SOCIALES DE CASTILLA Y LEÓN Y LA PREDICCIÓN DE RIESGOS PERSONALES DE CRONIFICACIÓN DE LA EXCLUSIÓN SOCIAL
  • [2014] BIG-MARKET - Plataforma Big Data para simular y evaluar técnicas de marketing en entornos realistas
  • [2013] SmartOpenData: Linked Open Data for environment protection in Smart Regions
  • [2013] TECNOLOGÍAS DEL HOTEL DEL FUTURO
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• Registros de Software
  • [2018] JupyterDS: Una herramienta para el aprendizaje experiencial en Ciencia de Datos
  • [2018] JupyterDS: Una herramienta para el aprendizaje experiencial en Ciencia de Datos
  • [2017] JupyterDS
  • [2016] Big Market. Twitter information diffusion model based on Big Data technologies
  • [2016] Big Market. Twitter information diffusion model based on Big Data technologies
  • [2016] BigTweet - Simulacion social basada en agentes de modelos de propagación de rumores en Twitter con soporte para tecnologías BigData.
  • [2016] BigTweet - Simulacion social basada en agentes de modelos de propagación de rumores en Twitter con soporte para tecnologías BigData.
  • [2015] Big Market. Twitter information diffusion model based on Big Data technologies
  • [2015] BigTweet - Simulacion social basada en agentes de modelos de propagación de rumores en Twitter con soporte para tecnologías BigData.
  • [2014] BigMarket. Simulación social de redes sociales con soporte para el análisis de redes sociales y las tecnologías big data mediante interfaz web dinámica.
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• Responsabilidades
  • [2016] 14th International Conference on Practical Applications of Agents and Multi-Agent Systems. PAAM16
  • [2016] FUTURE COMPUTING 2016
  • [2016] International Conference on Agents and Artificial Intelligence ICAART 2016
  • [2016] International Conference on Agents and Artificial Intelligence ¿ ICAART 2017
  • [2016] TPMC 2016. Theory and Practice in Modern Computing
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