MENU
MOSI-AGIL-CM. Modelado Social de Inteligencia Ambiental Aplicado a Grandes Instalaciones
Status
Finished
Proposed start date
2014-10-01
Proposed end date
2017-03-31
Project leaders
Description
This project has been partially supported by the Autonomous Region of Madrid through programme MOSI-AGIL-CM (grant P2013/ICE-3019, co-funded by EU Structural Funds FSE and FEDER)
Publications View all
-
Applying Recurrent Neural Networks to Sentiment Analysis of Spanish Tweets
Oscar Araque, Rodrigo Barbado, J. Fernando Sánchez-Rada & Carlos A. Iglesias (2017). Applying Recurrent Neural Networks to Sentiment Analysis of Spanish Tweets. In Ceur WS (editor). -
Design and Implementation of an Agent-based Crowd Simulation Model for Evacuation of University Buildings Using Python
Guillermo Fernández. (2017). Design and Implementation of an Agent-based Crowd Simulation Model for Evacuation of University Buildings Using Python. Final Career Project (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Design and implementation of an Agent-based Social Simulation Model of Energy Related Occupant Behaviour in Buildings
Eduardo Merino. (2017). Design and implementation of an Agent-based Social Simulation Model of Energy Related Occupant Behaviour in Buildings. Final Career Project (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Design and Development of an Agent-based Social Simulation Visualization Tool for Indoor Crowd Analytics based on the library Three.js
Pablo Aznar. (2017). Design and Development of an Agent-based Social Simulation Visualization Tool for Indoor Crowd Analytics based on the library Three.js. Final Career Project (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Modeling Social Influence in Social Networks with SOIL, a Python Agent-Based Social Simulator
Eduardo Merino, Jesús M. Sánchez, David García Martín, J. Fernando Sánchez-Rada & Carlos A. Iglesias (2017). Modeling Social Influence in Social Networks with SOIL, a Python Agent-Based Social Simulator, chapter Advances i, pages 337-341. Springer-Verlag. -
Sematch: Semantic Similarity Framework for Knowledge Graphs
Ganggao Zhu & Carlos A. Iglesias. (2017). Sematch: Semantic Similarity Framework for Knowledge Graphs. Knowledge-Based Systems. -
Soil: An Agent-Based Social Simulator in Python for Modelling and Simulation of Social Networks
Jesús M. Sánchez, Carlos A. Iglesias & J. Fernando Sánchez-Rada (2017). Soil: An Agent-Based Social Simulator in Python for Modelling and Simulation of Social Networks, chapter Advances i, pages 234-245. Springer Verlag. -
A modular architecture for intelligent agents in the evented web
J. Fernando Sánchez-Rada, Carlos A. Iglesias & Miguel Coronado. (2017). A modular architecture for intelligent agents in the evented web. Web Intelligence, 15 (1), 19-33. -
Enhancing Deep Learning Sentiment Analysis with Ensemble Techniques in Social Applications
Oscar Araque, Ignacio Corcuera-Platas, J. Fernando Sánchez-Rada & Carlos A. Iglesias. (2017). Enhancing Deep Learning Sentiment Analysis with Ensemble Techniques in Social Applications. Expert Systems with Applications. -
Computing Semantic Similarity of Concepts in Knowledge Graphs
Ganggao Zhu & Carlos A. Iglesias. (2017). Computing Semantic Similarity of Concepts in Knowledge Graphs. Transactions on Knowledge and Data Engineering, 29 (1), 72-85. -
SmartSim: Improving visualization on social simulation for an emergency evacuation scenario
Antonio M. Díaz-Dominguez, Ganggao Zhu, Álvaro Carrera Barroso, Carlos A. Iglesias & Oscar Araque (2016). SmartSim: Improving visualization on social simulation for an emergency evacuation scenario. In Rubén Fuentes-Fernández & Marin Lujak (editors), Proceedings of 1st International Workshop on Ambient Intelligence for Large Premises (AmILP 2016) co-located with ECAI 2016. -
Smart Office Automation based on Semantic Event-Driven Rules
Sergio Muñoz López, Antonio Fernández, Miguel Coronado & Carlos A. Iglesias (2016). Smart Office Automation based on Semantic Event-Driven Rules, pages 33-42. IOS Press. -
A Participatory Agent-Based Simulation for Indoor Evacuation supported by Google Glass
Jesús M. Sánchez, Álvaro Carrera Barroso, Carlos A. Iglesias & Emilio Serrano. (2016). A Participatory Agent-Based Simulation for Indoor Evacuation supported by Google Glass. Sensors, 16 (9), 1360. -
Senpy: A Pragmatic Linked Sentiment Analysis Framework
J. Fernando Sánchez-Rada, Carlos A. Iglesias, Ignacio Corcuera-Platas & Oscar Araque (2016). Senpy: A Pragmatic Linked Sentiment Analysis Framework. In Proceedings DSAA 2016 Special Track on Emotion and Sentiment in Intelligent Systems and Big Social Data Analysis (SentISData), pages 735-742. Montreal, Canada : IEEE. -
Validating viral marketing strategies in Twitter via agent-based social simulation
Emilio Serrano & Carlos A. Iglesias. (2016). Validating viral marketing strategies in Twitter via agent-based social simulation. Expert Systems with Applications, 50, 40-50.