Rojas, I., Joya, G., Catala, A. & ), (., editors. (2019). Advances in Computational Intelligence Part II: 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, LNCS, Heidelberg, Germany, Springer.[More][Bibtex]
Atencia Ruiz, M., Stoean, C., Stoean, R., Rodríguez Labrada, R. & Joya Caparrós, G. (2019). Dynamic clustering of time series with Echo State Networks, Gran Canarias, Islas Canarias (Spain),.[More][Bibtex]
Casilari Pérez, E., Lora Rivera, R. & García Lagos, F. (2019). Evaluation of a Fall Alerting System based on a Convolutional Deep Neural Networks, París, Francia, IEEE.[More][Bibtex]
Casilari, E., Lora-Rivera, R. & García Lagos, F. (2019). A wearable fall detection system using deep learning, Graz, Austria.[More][Bibtex]
Fernández Carmona, M., Parekh, T. & Hanheide, M. (2019). Making the case for human-aware navigation in warehouses, LNCS, LNAI, London; United Kingdom.[More][Bibtex]
Rojas, I., Joya, G., Catala, A. & ), (., editors. (2019). Advances in Computational Intelligence Part I: 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, LNCS, Heidelberg, Germany, Springer.[More][Bibtex]
Leon, M., Ballesteros Gómez, J., Tidare, J., Xiong, N. & Astrand, E. (2019). Feature Selection of EEG Oscillatory Activity Related to Motor Imagery Using a Hierarchical Genetic Algorithm, Wellington, New Zealand.[More][Bibtex]
Stoean, C., Stoean, R., Becerra García, R. A., García Bermúdez, R., Atencia Ruiz, M., García Lagos, F. et al. (2019). Unsupervised learning as a complement to convolutional neural network classification in the analysis of saccadic eye movement in spino-cerebellar ataxia type 2, Gran Canarias, Islas Canarias (Spain).[More][Bibtex]
Stoean, R., Stoean, C., Samide, A. & Joya Caparrós, G. (2019). Convolutional neural network learning versus traditional segmentation for the approximation of the degree of defective surface in titanium for implantable medical devices, Gran Canarias, Islas Canarias (Spain).[More][Bibtex]
Valdés, L., Allende Alonso, S. M., Ariza Quintana, A. & Joya Caparrós, G. (2019). Searching the shortest pair of edge-disjoint paths in a Communication Network. A Fuzzy approach, Gran Canarias, Islas Canarias (Spain).[More][Bibtex]
Rocha, A. & Guarda, T., editors. (2018). Smartphone-Based Vehicle Emission Estimation, Advances in Intelligent Systems and Computing (AISC), Cham, Springer, Universidad Estatal Península de Santa Elena.[More][Bibtex]
Faria Pinto, M., Coelho, F., De Souza, J. P., Marcato, A. & Urdiales García, C. (2018). EKF Design for Online Trajectory Prediction of a Moving Object Detected Onboard of a UAV, Ponta Delgada, Azores (Portugal).[More][Bibtex]
Martínez, J., Romero Garcés, J. A., Suárez, C., Marfil Robles, R., Hing Ting, K. L., Iglesias, A. et al. (2018). Towards a robust robotic assistant for Comprehensive Geriatric Assessment procedures: updating the CLARC system.[More][Bibtex]
Fernández Carmona, M., Coppola, C., Cosar, S. & Bellotto, N. (2017). Entropy-based abnormal activity detection fusing RGB-D and domotic sensors.[More][Bibtex]
H. Ting, K. L., Voilmy, D., Iglesias, A., C. Pulido, A. J., Garcia, J., Romero Garcés, J. A. et al. (2017). Integrating the users in the design of a robot for making Comprehensive Geriatric Assessments (CGA) to elderly people in care centers.[More][Bibtex]