| [J13]: |
“Efficient thermal comfort estimation employing the C-Mantec constructive neural network model”; F. Ortega-Zamorano, J. M. Jerez, J. Rodríguez-Alabarce, K. Goreishi, L. Franco ;
Soft Computing;
2025; DOI: 10.1007/s00500-025-10676-y.
JCR: Impact Factor: 2.5; Q3 (116/204) in Computer Science, Artificial Intelligence.
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| [J12]: |
“A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization”; J.D. Fernández-Rodríguez, E. J. Palomo, J. Benito-Picazo, E. Domínguez, E. López-Rubio, F. Ortega-Zamorano;
Neurocomputing;
vol. 544, no. 126288; 2023; DOI: 10.1016/j.neucom.2023.126288.
JCR: Impact Factor: 6.5; Q1 (42/197) in Computer Science, Artificial Intelligence.
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| [J11]: |
“Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical”; E. J. Palomo, E. López-Rubio, F. Ortega-Zamorano, R. Benítez-Rochel;
Neural Processing Letters;
vol. 52, no. 3, pp. 2537–2563; 2020; DOI: 10.1007/s11063-020-10360-2.
JCR: Impact Factor: 2.908; Q2 (63/139) in Computer Science, Artificial Intelligence.
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| [J10]: |
“Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm”; I. Gómez, H. Mesa, F. Ortega-Zamorano, J. M. Jerez and L. Franco;
Neural Computing and Applications;
vol. 32, no. 13, pp. 8955–8963; 2020; DOI: 10.1007/s00521-019-04388-2.
JCR: Impact Factor: 5.606; Q1 (31/139) in Computer Science, Artificial Intelligence.
|
| [J9]: |
“Piecewise polynomial activation functions for feed forward neural networks”; E. López-Rubio, F. Ortega-Zamorano, E. Domínguez and J. Muñoz-Pérez;
Neural processing letters;
vol. 50, no. 1, pp. 121–147; 2019; DOI: 10.1007/s11063-018-09974-4.
JCR: Impact Factor: 2.891; Q2 (54/137) in Computer Science, Artificial Intelligence.
|
| [J8]: |
“Unsupervised Learning by Cluster Quality Optimization”; E. López-Rubio, E. J. Palomo, F. Ortega-Zamorano;
Information Sciences;
vol. 436–437, pp. 31–55; 2018; DOI:10.1016/j.ins.2018.01.007.
JCR: Impact Factor: 5.524; Q1 (9/156) in Computer Science, Information Systems.
|
| [J7]: |
“FPGA implementation of neurocomputational models: comparison between standard Back-Propagation and C-Mantec constructive algorithm”;
F. Ortega-Zamorano, J. M. Jerez, G. E. Juárez and L. Franco;
Neural Processing Letters;
vol. 46, no. 3, pp 899–914; 2017 ; DOI: 10.1007/s1106.
JCR: Impact Factor: 1.787; Q2 (63/132) in Computer Science, Artificial Intelligence.
|
| [J6]: |
“Layer Multiplexing FPGA Implementation for Deep Back-Propagation Learning”;
F. Ortega-Zamorano, J.M. jerez, Iván Gómez and L. Franco;
Integrated Computer-Aided;
vol. 24, no. 2, pp. 171–185; 2017; DOI:10.3233/ICA-170538.
JCR: Impact Factor: 3.667; Q1 (21/132) in Computer Science, Artificial Intelligence. Q1 (7/86) in Engineering, Multidisciplinary.
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| [J5]: |
“Smart motion detection sensor based on video processing using self-organizing maps”;
F. Ortega-Zamorano, M.A. Molina-Cabello, E. López-Rubio and E. Palomo Ferrer;
Expert Systems with Applications;
vol. 64; no. 0; pp. 476–489; 2016; DOI:10.1016/j.eswa.2016.08.010.
JCR: Impact Factor: 3.928; Q1 (18/133) in Computer Science, Artificial Intelligence; Q1 (37/262) in Engineering, Electrical & Electronic.
|
| [J4]: |
“FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model”;
F. Ortega-Zamorano, Marcelo A. Montemurro, Sergio A. Cannas, J.M. jerez, and L. Franco;
IEEE Transactions on Parallel and Distributed Systems;
vol. 27, no. 9, pp. 2618–2627; 2016; DOI: 10.1109/ TPDS.2015.2505725.
JCR: Impact Factor: 4.108; Q1 (8/104) in Computer Science, Theory & Methods; Q1 (30/262) in Engineering, Electrical & Electronic.
|
| [J3]: |
“Efficient implementation of the Backpropagation algorithm in FPGAs and microcontrollers”;
F. Ortega-Zamorano, J. M. Jerez, D. Urda, R. Luque-Baena, and L. Franco;
IEEE Transactions on Neural Networks and Learning Systems;
vol. 27, no. 9, pp. 1840–1850; 2016; DOI: 10.1109/ TNNLS.2015.2460991.
JCR: Impact Factor: 6.108; Q1 (3/52) in Computer Science, Hardware & Architecture; Q1 (15/262) in Engineering, Electrical & Electronic.
|
| [J2]: |
“Smart sensor/actuator node reprogramming in changing environments using a neural network model”;
F. Ortega-Zamorano, J.L. Subirats, J.M. Jerez, I. Molina and L. Franco;
Engineering Applications of Artificial Intelligence;
vol. 30, no. 0, pp. 179–188; 2014; DOI:10.1016/ j.engappai.2014.01.006.
JCR: Impact Factor: 2.207; Q1 (30/123) in Computer Science, Artificial Intelligence; Q1 (51/249) in Engineering, Electrical & Electronic.
|
| [J1]: |
“FPGA implementation of the C-Mantec Constructive Neural Network Algorithm”;
F. Ortega-Zamorano, J.M. Jerez, and L. Franco;
IEEE Transactions on Industrial Informatics;
vol. 10, no. 2, pp. 1154–1161; 2014; DOI: 10.1109/ TII.2013.2294137.
JCR: Impact Factor: 8.785; Q1 (1/102) in Computer Science, Interdisciplinary Applications; Q1 (1/43) in Engineering, Industrial.
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| CONFERENCE PROCEEDINGS, LECTURE NOTES, BOOK CHAPTERS & OTHER PUBLICATIONS: | |
| [C17]: |
“An Evaluation of General-Purpose Optical Character Recognizers and Digit Detectors for Race Bib Number Recognition”;
M. Castrillón Santana, D. Freire-Obregón, D. Hernández-Sosa, O. J. Santana, F. Ortega-Zamorano, J. Isern González, J. Lorenzo-Navarro;
ICPRAM 2024: 13th International Conference on Pattern Recognition Applications and Methods;
pp. 910-917; 2024; DOI:10.5220/0012562400003654.
|
| [C16]: |
“Hierarchical Color Quantization with a Neural Gas Model based on Bregman Divergences”;
Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio and F. Ortega-Zamorano;
SOCO 2021: 16th International Conference on Soft Computing Models in Industrial and Environmental Applications;
pp. 327-337; 2021; DOI:10.1007/978-3-030-87869-6_31.
|
| [C15]: |
“Digital cryptography implementation using neurocomputational model with autoencoder architecture”;
F.Q. Socasi, R. Velastegui, L. Zhinin-Vera, R. Valencia-Ramos, F. Ortega-Zamorano and O. Chang ;
ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence;
vol. 2, pp. 865-872; 2020; DOI:10.5220/0009154908650872.
|
| [C14]: |
“Learning Style Identification by CHAEA Junior Questionnaire and Artificial Neural Network Method: A Case Study”;
R. Torres-Molina, L. Guachi-Guachi, R. Guachi, P. Stefania, F. Ortega-Zamorano;
Advances in Intelligent Systems and Computing;
vol. 1067, pp. 326-336; 2020; DOI:10.1007/978-3-030-32033-1_30.
|
| [C13]: |
“Red-Black Tree based NeuroEvolution of Augmenting Topologies”;
W. R. Arellano, P. A. Silva, M. F. Molina, S. Ronquillo and F. Ortega-Zamorano;
Advances in Computational Intelligence;
pp. 678-686; 2019; DOI:10.1007/978-3-030-20518-8_56.
|
| [C12]: |
“Prediction of learning improvement in mathematics through a video game using neurocomputational models”;
R. Torres-Molina, A. Riofrío-Valdivieso, C. Bustamante-Orellana and F. Ortega-Zamorano;
Proceedings of the 11th International Conference on Agents and Artificial Intelligence (ICAART 2019);
pp 554-559; 2019; DOI: 10.5220/0007348605540559.
|
| [C11]: |
“Portable Expert System to Voice and Speech Recognition Using an Open Source Computer Hardware”;
H. E. Betancourt, D. A. Armijos, P. N. Martinez, A. E. Ponce and F. Ortega-Zamorano;
2nd European Conference on Electrical Engineering & Computer Science (EECS 2018);
pp 564-568; 2018; DOI: 10.1109/EECS.2018.00110.
|
| [C10]: |
“Risk analysis of the stock market by means self-organizing maps model”;
G. E. Pilliza, O. A. Román, W. J. Morejón, S. H. Hidalgo and F. Ortega-Zamorano.
IEEE Third Ecuador Technical Chapters Meeting (ETCM);
pp 1-6; 2018; DOI: 10.1109/ETCM.2018.8580320.
|
| [C9]: |
“Successive Adaptive Linear Neural Modeling for Equidistant Real Roots Finding”;
J. R. González, F. P. Zhapa, O. V. Guarnizo and F.Ortega-Zamorano;
IEEE Third Ecuador Technical Chapters Meeting (ETCM);
pp 1-6; 2018; DOI:10.1109/ETCM.2018.8580280.
|
| [C8]: |
“Solving Scheduling Problems with Genetic Algorithms using a Priority Encoding Scheme”;
J. Luis Subirats, H. Mesa, F. Ortega-Zamorano, G. Eduardo Juarez, J. M. Jerez, I. Turias and L. Franco.
Lecture Notes in Computer Science;
vol. 10305, pp. 52-61; 2017; DOI:10.1007/978-3-319-59153-7_5.
|
| [C7]: |
“Thermal comfort estimation using a neurocomputational model”;
J. Rodríguez-Alabarce, F. Ortega-Zamorano, J. M. Jerez, K. Ghoreishi and L. Franco.
2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI);
pp. 1-5; 2016; DOI:10.1109/LA-CCI.2016.7885703. “BEST PAPER AWARD”.
|
| [C6]: |
“Deep Neural Network Architecture implementation on FPGAs using a Layer Multiplexing Scheme”;
F. Ortega-Zamorano, J.M. Jerez, G. Juárez and L. Franco.
Advances in Intelligent Systems and Computing;
474, pp. 79-86, 2016; DOI: 10.1007/978-3-319-40162-1_9.
|
| [C5]: |
“FPGA implementation comparison between C-Mantec and Back-Propagation neural network algorithms”;
F. Ortega-Zamorano, J.M. Jerez, G. Juárez and L. Franco.
Lecture Notes in Computer Science; 9095;
pp. 197-208; 2015; DOI: 10.1007/ 978-3-319-19222-2_17.
|
| [C4]: |
“High Pecision FPGA Implementation of Neural Network Activation function”;
F. Ortega-Zamorano, J.M. Jerez, G. Juárez, J.O. Pérez and L. Franco;
Proceedings of the IEEE Symposium Series on Computatitional Intelligence (SSCI'2014);
pp. 55-60; 2014; ISBN: 978-1-4799-4486-6.
|
| [C3]: |
“Implementación en FPGA de dos algoritmos de aprendizaje de redes neuronales”;
F. Ortega-Zamorano, J.M. Jerez, G. Juárez and L. Franco; CASE (SASE);
pp. 27; 2014; ISBN: 978-987-45523-2-7.
|
| [C2]: |
“Committee C-Mantec: A Probabilistic Constructive Neural Network”;
J.L. Subirats, R.M. Luque, D. Urda, F. Ortega, J.M. Jerez and L. Franco;
Lecture Notes in Computer Science; 7902;
pp. 339-346; 2013; ISBN: 978-3-642-38678-7.
|
| [C1]: |
"Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller”;
F. Ortega-Zamorano, J. L. Subirats, J.M. Jerez, I. Molina and L. Franco;
Lecture Notes in Computer Science; 7902;
pp. 80-87; 2013; DOI: 10.1007/978-3-642-38679-4_6.
|
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