| Review of the Complexity of Managing Big Data of the Internet of Things. | 0 | 0.34 | 2019 |
| Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems. | 1 | 0.41 | 2019 |
| Collaborative Working Architecture for IoT-Based Applications. | 2 | 0.35 | 2018 |
| Hierarchical Self-organizing Maps System for Action Classification. | 1 | 0.36 | 2017 |
| First and second order dynamics in a hierarchical SOM system for action recognition. | 2 | 0.39 | 2017 |
| Action Recognition Online with Hierarchical Self-Organizing Maps | 0 | 0.34 | 2016 |
| Hierarchies of Self-Organizing Maps for Action Recognition | 4 | 0.43 | 2016 |
| Discriminating and simulating actions with the associative self-organising map | 3 | 0.42 | 2015 |
| SARASOM: a supervised architecture based on the recurrent associative SOM | 0 | 0.34 | 2015 |
| Action Recognition based on Hierarchical Self-Organizing Maps. | 0 | 0.34 | 2014 |
| Simulating Actions with the Associative Self-Organizing Map. | 2 | 0.44 | 2013 |
| Architecture to Serve Disabled and Elderly. | 0 | 0.34 | 2012 |
| Using GNG to improve 3D feature extraction - Application to 6DoF egomotion. | 7 | 0.48 | 2012 |
| Predicting seminal quality with artificial intelligence methods | 11 | 0.56 | 2012 |
| Internal Simulation of an Agent's Intentions. | 0 | 0.34 | 2012 |
| Modelling of urological dysfunctions with neurological etiology by means of their centres involved | 2 | 0.45 | 2011 |
| Internal Simulation in a Bimodal System. | 5 | 0.61 | 2011 |
| Using support vector machines in diagnoses of urological dysfunctions | 1 | 0.36 | 2010 |
| Decision Support System for the Diagnosis of Urological Dysfunctions Based on Fuzzy Logic. | 1 | 0.36 | 2010 |
| Ikaros: Building cognitive models for robots | 16 | 1.16 | 2010 |
| Haptic Perception With Self-Organizing Anns And An Anthropomorphic Robot Hand | 4 | 0.44 | 2010 |
| Application of artificial neural networks in the diagnosis of urological dysfunctions | 1 | 0.40 | 2009 |
| Neural Network Architecture for Crossmodal Activation and Perceptual Sequences. | 2 | 0.39 | 2009 |
| Artificial Neural Networks For Diagnoses Of Dysfunctions In Urology | 1 | 0.36 | 2008 |
| Recognizing texture and hardness by touch | 5 | 0.52 | 2008 |
| Neural network models of haptic shape perception | 18 | 1.19 | 2007 |
| Experiments with artificial haptic perception in a robotic hand | 4 | 0.61 | 2006 |
| A haptic system for the lucs haptic hand I | 6 | 0.79 | 2005 |
