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Juan Luis Crespo Mariño
Juan Luis Crespo Mariño
Professor of Mechatronics Engineering. Tecnológico de Costa Rica
Zweryfikowany adres z tec.ac.cr
Tytuł
Cytowane przez
Cytowane przez
Rok
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
372003
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
322001
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
192009
Training higher order Gaussian synapses
RJ Duro, JL Crespo, J Santos
International Work-Conference on Artificial Neural Networks, 537-545, 1999
161999
An adaptive detection/attention mechanism for real time robot operation
JL Crespo, A Faiña, RJ Duro
Neurocomputing 72 (4-6), 850-860, 2009
122009
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
102018
Comparison of complexity measures for DNA sequence analysis
RE Monge, JL Crespo
3rd IEEE international work-conference on bioinspired intelligence, 71-75, 2014
102014
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
82009
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
72008
Analysis of data complexity in human dna for gene-containing zone prediction
RE Monge, JL Crespo
Entropy 17 (4), 1673-1689, 2015
52015
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
42017
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
42010
Una arquitectura de atención distribuida para agentes con sensorización multimodal
JLC Mariño
Universidade da Coruña, 2007
32007
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
22021
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
22004
Gaussian synapse networks for hyperspectral image segmentation
JL Crespo, RJ Duro, F López-Peña
Advances in Artificial Intelligence—IBERAMIA 2002: 8th Ibero-American …, 2002
22002
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
22000
Bioinspired intelligence II
JL Crespo-Mariño, A Segura-Castillo
Biomimetics 7 (2), 76, 2022
12022
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
12018
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