Embedded Systems and Artificial Intelligence (ESAI) Sistemas Empotrados e Inteligencia Artificial (ESAI)
Introducción
El grupo de Sistemas Empotrados e Inteligencia Artificial (ESAI) es un grupo multidisciplinar que desarrolla sus líneas de investigación en torno a la aplicación de técnicas de inteligencia artificial, minería de datos y otras técnicas avanzadas de estadística, al campo de los sistemas empotrados de tiempo real y dispositivos móviles, para el desarrollo de sistemas de inteligencia ambiental (ej. domótica), aprendizaje automático (ej. procesamiento del lenguaje natural), eficiencia energética y todas aquellas aplicaciones donde se requiera desarrollar sistemas inteligentes confiables para la toma de decisiones, que se nutren de grandes cantidades de datos.
The Embedded Systems and Artificial Intelligence Group (ESAI) is a multidisciplinary group that develops its research in the area of the application of artificial intelligence, data mining and other advanced statistical techniques to the field of real-time embedded systems and mobile devices, development of ambient intelligence systems (eg house automation), machine learning (eg, natural language processing), energy efficiency and all kind of applications requiring reliable intelligent systems for decision making using large amounts of data.
Investigador principal
Miembros del Grupo
Líneas de investigación
1 -Procesamiento automático de datos / Automated Data Processing
2 -Sistemas inteligentes / Intelligent Systems
3 -Dispositivos móviles / Mobile Devices
- F. Zamora-Martinez, P. Romeu, J. Pardo y D. Tormo.
Some Empirical Evaluations of a Temperature Forecasting Module based on Artificial Neural Networks for a Domotic Home Environment. KDIR Conference in IC3K (2012)
- F. Zamora-Martínez, S. España-Boquera, M.J. Castro-Bleda, Renato de-Mori. Cache Neural Network Language Models based on Long-Distance Dependencies for a Spoken Dialog System IEEE International Conference on Acoustic Speech, and Signal Processing (2012)
- S. Espana-Boquera, M.J. Castro-Bleda, J. Gorbe-Moya y F. Zamora-Martinez.Improving Offline Handwritten Text Recognition with Hybrid HMM/ANN Models IEEE Transactions on Pattern Analysis and Machine Intelligence(2011)
- M.J. Castro-Bleda, S. España-Boquera, D. Llorens, A Marzal, F. Prat, J.M. Vilar y F. Zamora-Martínez
Speech Interaction in a multimodal tool for handwritten text transcription Proceedings of the International Conferenece on Multimodal Interaction (2011)
-Salvador, España-Boquera, Jorge Gorbe-Moya, M.J. Castro-Bleda, Francisco Zamora-Martínez. Hybrid HMM/ANN models for bimodal online and offline cursive word recognition. Proceedings of the International Conference on Pattern Recognition (2010)
- F. Zamora-Martínez, M.J. Castro-Bleda. Traducción automática basada en Ngramas Conexionistas. Revista de la Sociedad Española para el Procesamiento del Lenguaje Natural (2010)
- F. Zamora-Martínez, M.J. Castro-Bleda y Holger Schwenk. N-gram-based Machine Translation enhanced with Neural Networks for the French-English Proceedings of the International Workshop on Spoken Language Translation (2010)
- F. Zamora-Martínez, M.J. Castro-Bleda, S. Espala-Boquera y J. Gorbe-Moya Unconstrained Offline Handwriting Recognition using Connectionist Character N-grams IEEE International Conference on Neural Networks (2010 )
- F. Zamora-Martínez, M.J. Castro-Bleda , S. Tortajada-Velert y S. España-Boquera. Moyading morphological information to a connectionist Part-Of-Speech tagger Conferencia de la Asociación Española para la Inteligencia Artificial (2009)
- F. Zamora-Martínez, M.J. Castro-Bleda, S. España-Boquera y J. Gorbe-Moya. Mejoras del reconocimiento de palabras manuscritas aisladas mediante un clasificador específico para palabras cortas. Conferencia de la Asociación Española para la Inteligencia Artificial (2009)
- F. Zamora-Martínez, M.J. Castro-Bleda y S. España-Boquera.
Fast Evaluation of Connectionist Language Models. Lecture Notes in Computer Science, Computational and Ambient Intelligence (2009)
- M.J Castro-Bleda, S España-Boquera y F. Zamora-MartínezBehaviour-Based Clustering of Neural Networks. Encyclopedia of Artificial Intelligence (2008)
- F. Zamora-Martínez, S. España-Boquera y M.J. Castro-Bleda Behaviour-based Clustering of Neural Networks applied to Document Enhancement. Lecture Notes in Computer Science, Computational and Ambient Intelligence (2007)
- S. España-Boquera, F. Zamora-Martínez, M.J. Castro-Bleda y J. Gorbe-Moya. Efficient BP Algorithms for General Feedforward Neural Networks. Lecture Notes in Computer Science, Bio-inspired Modelling of Cognitive Tasks (2007)
- M.J. Castro, S. España, J. Gorbe-Moya, F. Zamora-Martínez, D. Llorens, A. Marzal, F. Prat y J.M. Vilar. Improving a DTW-based recognition engine for on-line handwritten characters by using MLPs. International Conference on Document Analysis and Recognition (2009
- Maxim Khalilov, J.A. R. Fonollosa and F. Zamora-Martínez, S. España-Boquera y M.J. Castro-BledaNeural Network Language Models for Translation with Limited Data. Proceedings of the IEEE International Conference on Tools with Artificial Intelligence (2008)
- JC. Campelo, A. Marti, J. Pardo, JJ. Serrano. Data acquisiton architecture for car simulators: application in driving adaptations for disabled.Experimental Techniques Volume 34, Issue 6, pages 3441, DOI: 10.1111/j.1747-1567.(2009)
- Juan Pardo, José Carlos Campelo, Juan Carlos Ruiz, Pedro Gil. 00561.x2010 Temporal Characterization of Embedded Systems Using Nexus. IEEE Computer Society EDCC06 (European Dependable Computing Conference) (2006)
- J.C. Campelo, A. Martí, J. Pardo, J.J. Serrano. A Real-Time Data Acquisition System for a Car Simulator to Study Disabled People Driving. SAE Technical Paper Series SAE International (2006)
- Juan Pardo, J.C.Campelo, J.J.Serrano. Society of Automotive Engineers (SAE) Global Mobility Database Non-intrusive tool for verifying COTS components in embedded systems. The 2009 International Conference on Embedded Systems and Applications. (2009)
- Juan Pardo, J.C.Campelo, J.J.Serrano. NEXUS capabilities for embedded software and hardware validation. The 2009 International Conference on Embedded Systems and Applications. (2009)
- Juan Pardo, D. de Andrés, J.C. Ruiz, and J.C.Campelo.
Technologies for the development of dependable and secure component-based embedded systems: TecnoSeC Project The 2009 International Conference on Embedded Systems and Applications.(2009)
- J.C.Campelo, J. Pardo, A. Molina, and J.J.Serrano.
WiSNetCoL: A Wireless Sensors Network based Architecture to Monitor and Control Residential Electrical Loads. The 2009 International Conference on Wireless Networks. (2009)
- Juan Pardo, Jose C. Campelo, Juan C. Ruiz, Pedro Gil.
Embedded software validation using on-chip debugging mechanisms. World Scientific Publishing Co. Pte. Ltd (2007)
-Estellés E, Pardo, J., Falcó, A., Sánchez, A modified agile methodology for an ERP academic Project development. F. I-Tech Education and Publishing KG (2009)
- A Martí, J.C. Campelo, J. Pardo, R. Ors, J.J. Serrano.
A distributed control system for citric fruits conservation and maturation based on CAN and Internet networks. ISIE 2007. 2
007 IEEE International Symposium on Industrial Electronics. (2007)
- Juan Carlos Ruiz, Juan Pardo, José Carlos Campelo, Pedro Gil.
On-chip Debugging-based Fault Emulation for Robustness Evaluation of Embedded Software Components. PRDC (2005)
-Juan Pardo, José Carlos Campelo, Pedro Gil.
IEEE 11th Pacific Rim International Symposium on Dependable Computing. (2006)
Non-Intrusive software fault injection methodology for RTOS robustness testing. Lecture Notes in Computer Science (LNCS) EDCC05 (European Dependable Computing Conference) (2006 )