Gaussian synapse ANNs in multi-and hyperspectral image data analysis JL Crespo, RJ Duro, FL Peña IEEE transactions on instrumentation and measurement 52 (3), 724-732, 2003 | 37 | 2003 |
Considerations in the application of evolution to the generation of robot controllers J Santos, RJ Duro, JA Becerra, JL Crespo, F Bellas Information Sciences 133 (3-4), 127-148, 2001 | 32 | 2001 |
Unmixing low-ratio endmembers in hyperspectral images through Gaussian synapse ANNs FL Peña, JL Crespo, RJ Duro IEEE Transactions on Instrumentation and Measurement 59 (7), 1834-1840, 2009 | 19 | 2009 |
Training higher order Gaussian synapses RJ Duro, JL Crespo, J Santos International Work-Conference on Artificial Neural Networks, 537-545, 1999 | 16 | 1999 |
An adaptive detection/attention mechanism for real time robot operation JL Crespo, A Faiña, RJ Duro Neurocomputing 72 (4-6), 850-860, 2009 | 12 | 2009 |
A hybrid mathematical modeling approach of the metabolic fate of a fluorescent sphingolipid analogue to predict cancer chemosensitivity JA Molina-Mora, M Kop-Montero, I Quirós-Fernández, S Quirós, ... Computers in biology and medicine 97, 8-20, 2018 | 10 | 2018 |
Comparison of complexity measures for DNA sequence analysis RE Monge, JL Crespo 3rd IEEE international work-conference on bioinspired intelligence, 71-75, 2014 | 10 | 2014 |
Modelling and simulation of a natural roofing slates manufacturing plant D del Rio Vilas, D Crespo Pereira, JL Crespo Mariño, A Garcia del Valle Proceedings of The International Workshop on Modelling and Applied …, 2009 | 8 | 2009 |
Modelos de Aula Invertida y Elección de Evaluación en un Curso Introductorio de Sistemas Digitales JL Crespo Mariño Javier Trejos Zelaya (ed.) “Contribuciones a la innovación docente en la …, 2014 | 7* | 2014 |
Using gaussian synapse anns for hyperspectral image segmentation and endmember extraction RJ Duro, F Lopez-Pena, JL Crespo Computational Intelligence for Remote Sensing, 341-362, 2008 | 7 | 2008 |
Analysis of data complexity in human dna for gene-containing zone prediction RE Monge, JL Crespo Entropy 17 (4), 1673-1689, 2015 | 5 | 2015 |
The definition of a measure of artificial neural network design quality based on a Statistical Index of Quality RE Monge, JL Crespo Neurocomputing 255, 71-76, 2017 | 4 | 2017 |
Creation of a Greater Caribbean Regional Engineering Accreditation System H Pirela, GC Quintana, JLC Marino, MJ Escala, MML Petrie, ZO Gephardt 2010 Annual Conference & Exposition, 15.334. 1-15.334. 14, 2010 | 4 | 2010 |
Una arquitectura de atención distribuida para agentes con sensorización multimodal JLC Mariño Universidade da Coruña, 2007 | 3 | 2007 |
OSCAR: A low-cost, open-source robotic platform design for cognitive research E Fallas-Hernández, RJL Baldares, JL Crespo 2021 IEEE 3rd International Conference on BioInspired Processing (BIP), 1-6, 2021 | 2 | 2021 |
Unmixing low ratio endmembers through gaussian synapse ANNs in hyperspectral images JL Crespo, R Duro, FL Peña 2004 IEEE International Conference onComputational Intelligence for …, 2004 | 2 | 2004 |
Gaussian synapse networks for hyperspectral image segmentation JL Crespo, RJ Duro, F López-Peña Advances in Artificial Intelligence—IBERAMIA 2002: 8th Ibero-American …, 2002 | 2 | 2002 |
Robust visual recognition with high-order Gaussian synapses networks JL Crespo, J Santos, RJ Duro Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 2 | 2000 |
Bioinspired intelligence II JL Crespo-Mariño, A Segura-Castillo Biomimetics 7 (2), 76, 2022 | 1 | 2022 |
Preliminary Design Methodology and Prototype of a Passive Magnetic Suspension System for a Blood Axial Flow Pump JD Zamora-Bolaños, M Vílchez-Monge, G Ortiz-León, JL Crespo-Mariño 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 1-9, 2018 | 1 | 2018 |