Observatorio de I+D+i UPM
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INVESTIGADORES
ESTRUCTURAS DE I+D+I
ACTIVIDAD INVESTIGADORA
INNOVACIÓN
Investigador
Juan Fernando Sanchez Rada
Categoría Investigador
L.D. PRF.CONTR.DOCT.
Escuela UPM
E.T.S. DE INGENIEROS DE TELECOMUNICACION
Departamento:
INGENIERÍA DE SISTEMAS TELEMÁTICOS
Area Conocimiento
INGENIERIA TELEMATICA
Grupo de Investigación:
Grupo de Sistemas Inteligentes
Email (Directorio UPM)
jf.sanchez
upm.es
Datos de Memorias relacionados
Proyectos de I+D+i y generación de recursos
13 Proyectos de I+D+i
1: (2016)
SMART OPEN DATA - SUPROYECTO DEL E130925439
2: (2017)
EMOSPACES
3: (2017)
GSI. MOdelado Social de Inteligencia Ambiental aplicado a Grandes Instalaciones.
4: (2017)
TRIVALENT- TERRORISM PREVENTION VIA RADICALISATION COUNTER-NARRATIVE
5: (2018)
Aplicación de técnicas de diagnóstico Bayesiano en redes SDN
6: (2018)
CITISIM-A Smart City y 3D Simulation and Monotoring Platform
7: (2018)
EmoSpaces
8: (2018)
SECUREGRID: Seguridad, detección de fraude y codificación para redes inteligentes basadas en inteligencia artificial
9: (2018)
Social Media and Digital Interaction Intelligence (SOMEDI)
10: (2018)
Social Media and Digital Interaction Intelligence (SOMEDI)
11: (2018)
Trivalent
12: (2019)
CATEDRA CABIFY
13: (2019)
Social Media and Digital Interaction Intelligence (SOMEDI)
Difusión de Resultados de Investigación
9 Artículos en revistas
1: (2015)
Onyx: A Linked Data approach to emotion representation
2: (2016)
Enhancing deep learning sentiment analysis with ensemble techniques in social applications
3: (2016)
Onyx: A Linked Data approach to emotion representation
4: (2017)
A modular architecture for intelligent agents in the evented web
5: (2018)
An Emotion Aware Task Automation Architecture Based on Semantic Technologies for Smart Offices
6: (2018)
MixedEmotions: An Open-Source Toolbox for Multi-Modal Emotion Analysis
7: (2018)
Teaching Big Data With Pen, Paper and Scissors
8: (2019)
Social context in sentiment analysis: Formal definition, overview of current trends and framework for comparison
9: (2019)
Senpy: A framework for semantic sentiment and emotion analysis services
1 Capítulos de libros
1: (2019)
Analyzing Radicalism Spread Using Agent-Based Social Simulation
16 Ponencia en Congresos
1: (2013)
Linguistic Linked Data for Sentiment Analysis
2: (2013)
Onyx: Describing Emotions on the Web of Data
3: (2014)
A Linked Data Approach to Sentiment and Emotion Analysis of Twitter in the Financial Domain
4: (2014)
EuroLoveMap: Confronting feelings from News
5: (2014)
EUROSENTIMENT: Linked Data Sentiment Analysis
6: (2014)
EUROSENTIMENT: Linked Data Sentiment Analysis
7: (2014)
Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources
8: (2014)
MAIA: An Event-based Modular Architecture for Intelligent Agents
9: (2016)
Senpy: A Pragmatic Linked Sentiment Analysis Framework
10: (2017)
Applying Recurrent Neural Networks to Sentiment Analysis of Spanish Tweets
11: (2017)
Modeling Social Influence in Social Networks with SOIL, a Python Agent-Based Social Simulator
12: (2017)
Modeling Social Influence in Social Networks with SOIL, a Python Agent-Based Social Simulator
13: (2017)
Multimodal Multimodel Emotion Analysis as Linked Data
14: (2017)
Soil: An Agent-Based Social Simulator in Python for Modelling and Simulation of Social Networks
15: (2018)
A Model of Radicalization Growth using Agent-based Social Simulation
16: (2018)
A Big Linked Data Toolkit for Social Media Analysis and Visualization based on W3C Web Components
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S2i 2023 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
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