Observatorio de I+D+i UPM
• ESPAÑOL
• ENGLISH
INVESTIGADORES
ESTRUCTURAS DE I+D+I
ACTIVIDAD INVESTIGADORA
INNOVACIÓN
Investigador
Oscar Araque Iborra
Categoría Investigador
L.D. PRF.AYUD.DOCTOR
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)
o.araque
upm.es
Teléfono (Directorio UPM)
910672136
Datos de Memorias relacionados
Proyectos de I+D+i y generación de recursos
12 Proyectos de I+D+i
1: (2016)
EmoSpaces: Enhanced Affective Wellbeing based on Emotion Technologies for adaptin IoT spaces
2: (2018)
Aplicación de técnicas de diagnóstico Bayesiano en redes SDN
3: (2018)
CITISIM-A Smart City y 3D Simulation and Monotoring Platform
4: (2018)
EmoSpaces
5: (2018)
EmosPaces
6: (2018)
SECUREGRID: Seguridad, detección de fraude y codificación para redes inteligentes basadas en inteligencia artificial
7: (2018)
Social Media and Digital Interaction Intelligence (SOMEDI)
8: (2018)
Social Media and Digital Interaction Intelligence (SOMEDI)
9: (2018)
Trivalent
10: (2019)
CATEDRA CABIFY
11: (2019)
Social Media and Digital Interaction Intelligence (SOMEDI)
12: (2019)
TRIVALENT- TERRORISM PREVENTION VIA RADICALISATION COUNTER-NARRATIVE
Formación de Investigadores y Movilidad
2 Estancias y sabáticos recogidos en programas oficiales
1: (2017)
Estancia en Fondazione Bruno Kessler, Italia
2: (2019)
Estancia en Open University (OU), Reino Unido
Difusión de Resultados de Investigación
12 Artículos en revistas
1: (2016)
Enhancing deep learning sentiment analysis with ensemble techniques in social applications
2: (2016)
Mining the Opinionated Web: Classification and Detection of Aspect Contexts for Aspect Based Sentiment Analysis
3: (2017)
Enhancing deep learning sentiment analysis with ensemble techniques in social applications
4: (2017)
Neural Domain Adaptation of Sentiment Lexicons
5: (2018)
An Emotion Aware Task Automation Architecture Based on Semantic Technologies for Smart Offices
6: (2018)
An Emotion Aware Task Automation Architecture Based on Semantic Technologies for Smart Offices
7: (2018)
How well do Spaniards sleep? Analysis of Sleep Disorders based on Twitter mining
8: (2018)
Teaching Big Data With Pen, Paper and Scissors
9: (2019)
A framework for fake review detection in online consumer electronics retailers
10: (2019)
A semantic similarity-based perspective of affect lexicons for sentiment analysis
11: (2019)
Depechemood++: a bilingual emotion lexicon built through simple yet powerful techniques
12: (2019)
Senpy: A framework for semantic sentiment and emotion analysis services
1 Conferencias invitadas en congresos
1: (2018)
A Cognitive Agent for Mining Bugs Reports, Feature Suggestions and Sentiment in a Mobile Application Store
8 Ponencia en Congresos
1: (2016)
Mining the Opinionated Web: Classification and Detection of Aspect Contexts for Aspect Based Sentiment Analysis
2: (2016)
Senpy: A Pragmatic Linked Sentiment Analysis Framework
3: (2016)
SmartSim: Improving visualization on social simulation for an emergency evacuation scenario
4: (2017)
Applying Recurrent Neural Networks to Sentiment Analysis of Spanish Tweets
5: (2017)
Neural domain adaptation of sentiment lexicons
6: (2018)
How well do Spaniards sleep? Analysis of Sleep Disorders based on Twitter mining
7: (2018)
How well do Spaniards sleep? Analysis of Sleep Disorders based on Twitter mining
8: (2018)
How well do Spaniards sleep? Analysis of Sleep Disorders based on Twitter mining
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S2i 2023 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
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