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Araceli Sanchis

Showing results (1-10 of 8) with videos related to

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Advances in Experimental Medicine and Biology|July 12, 2011
Simulating visual qualia in the CERA-CRANIUM cognitive architectureRaúl Arrabales, Agapito Ledezma, Araceli Sanchis
Sensors (Basel, Switzerland)|April 26, 2013
Activity recognition using hybrid generative/discriminative models on home environments using binary sensorsFco Javier Ordóñez, Paula de Toledo, Araceli Sanchis
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
Predicting Protein Relationships to Human Pathways through a Relational Learning Approach Based on Simple Sequence FeaturesBeatriz García-Jiménez, Tirso Pons, Araceli Sanchis, et al.
International Journal of Neural Systems|December 19, 2015
A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog SystemsDavid Griol, José Antonio Iglesias, Agapito Ledezma, et al.
International Journal of Neural Systems|October 15, 2010
Human activity recognition based on Evolving Fuzzy SystemsJose Antonio Iglesias, Plamen Angelov, Agapito Ledezma, et al.
Sensors (Basel, Switzerland)|January 21, 2023
Stress Detection Using Frequency Spectrum Analysis of Wrist-Measured Electrodermal ActivityŽiga Stržinar, Araceli Sanchis, Agapito Ledezma, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learningPaula de Toledo, Rodrigo Perez-Rodriguez, Pablo de Miguel, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|April 17, 2009
Predicting the outcome of patients with subarachnoid hemorrhage using machine learning techniquesPaula de Toledo, Pablo M Rios, Agapito Ledezma, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Advances in Experimental Medicine and Biology|July 12, 2011
Simulating visual qualia in the CERA-CRANIUM cognitive architectureRaúl Arrabales, Agapito Ledezma, Araceli Sanchis
Sensors (Basel, Switzerland)|April 26, 2013
Activity recognition using hybrid generative/discriminative models on home environments using binary sensorsFco Javier Ordóñez, Paula de Toledo, Araceli Sanchis
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
Predicting Protein Relationships to Human Pathways through a Relational Learning Approach Based on Simple Sequence FeaturesBeatriz García-Jiménez, Tirso Pons, Araceli Sanchis, et al.
International Journal of Neural Systems|December 19, 2015
A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog SystemsDavid Griol, José Antonio Iglesias, Agapito Ledezma, et al.
International Journal of Neural Systems|October 15, 2010
Human activity recognition based on Evolving Fuzzy SystemsJose Antonio Iglesias, Plamen Angelov, Agapito Ledezma, et al.
Sensors (Basel, Switzerland)|January 21, 2023
Stress Detection Using Frequency Spectrum Analysis of Wrist-Measured Electrodermal ActivityŽiga Stržinar, Araceli Sanchis, Agapito Ledezma, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learningPaula de Toledo, Rodrigo Perez-Rodriguez, Pablo de Miguel, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|April 17, 2009
Predicting the outcome of patients with subarachnoid hemorrhage using machine learning techniquesPaula de Toledo, Pablo M Rios, Agapito Ledezma, et al.
Pageof 1