Artificial vision techniques to optimize Strawberry's industrial classification P Constante, A Gordon, O Chang, E Pruna, F Acuna, I Escobar IEEE Latin America Transactions 14 (6), 2576-2581, 2016 | 55 | 2016 |
A novel deep neural network that uses space-time features for tracking and recognizing a moving object O Chang, P Constante, A Gordon, M Singana Journal of Artificial Intelligence and Soft Computing Research 7 (2), 125-136, 2017 | 46 | 2017 |
Synthesis of multiple beam linear antenna arrays using genetic algorithms D Marcano, F Duran, O Chang IEEE Antennas and Propagation Society International Symposium. 1995 Digest 2 …, 1995 | 43 | 1995 |
Synthesis of linear array using Schelkunoff's method and genetic algorithms D Marcano, M Jiminez, O Chang IEEE Antennas and Propagation Society International Symposium. 1996 Digest 2 …, 1996 | 38 | 1996 |
Evolving cooperative neural agents for controlling vision guided mobile robots O Chang 2010 IEEE 9th International Conference on Cyberntic Intelligent Systems, 1-6, 2010 | 16 | 2010 |
Building a training module for modern control E Pruna, O Chang, D Jiménez, A Pérez, G Ávila, I Escobar, P Constante, ... 2015 CHILEAN Conference on Electrical, Electronics Engineering, Information …, 2015 | 12 | 2015 |
Dynamically programmable logic circuits R Suarez, O Chang, V Adam US Patent 4,292,548, 1981 | 12 | 1981 |
A deep learning algorithm to forecast sales of pharmaceutical products O Chang, I Naranjo, C Guerron, D Criollo, J Guerron, G Mosquera no. August, 2017 | 10 | 2017 |
Reliable object recognition by using cooperative neural agents O Chang 2014 International Joint Conference on Neural Networks (IJCNN), 2571-2578, 2014 | 10 | 2014 |
Single-channel speech enhancement using learnable loss mixup O Chang, DN Tran, K Koishida arXiv preprint arXiv:2312.17255, 2023 | 9 | 2023 |
Q-Credit Card Fraud Detector for Imbalanced Classification using Reinforcement Learning. L Zhinin-Vera, O Chang, R Valencia-Ramos, R Velastegui, GE Pilliza, ... ICAART (1), 279-286, 2020 | 8 | 2020 |
Time series prediction by using convolutional neural networks R Velastegui, L Zhinin-Vera, GE Pilliza, O Chang Proceedings of the Future Technologies Conference, 499-511, 2020 | 7 | 2020 |
Neural networks for optic nerve detection in digital optic fundus images P Constante, A Gordon, O Chang, E Pruna, I Escobar 2016 IEEE International Conference on Automatica (ICA-ACCA), 1-5, 2016 | 7 | 2016 |
A protein folding robot driven by a self-taught agent O Chang, FA Gonzales-Zubiate, L Zhinin-Vera, R Valencia-Ramos, ... Biosystems 201, 104315, 2021 | 6 | 2021 |
A wise up visual robot driven by a self-taught neural agent O Chang, L Zhinin-Vera Proceedings of the Future Technologies Conference, 606-617, 2020 | 6 | 2020 |
A deep architecture for visually analyze Pap cells O Chang, P Constante, A Gordon, M Singania, F Acuna 2015 IEEE 2nd Colombian Conference on Automatic Control (CCAC), 1-6, 2015 | 6 | 2015 |
Self-programming robots boosted by neural agents O Chang International Conference on Brain Informatics, 448-457, 2018 | 5 | 2018 |
Implementation of a WirelessHART training system for upgrading industrial I Escobar, E Pruna, O Chang, A Navas, J Zambrano, G Avila IEEE Latin America Transactions 14 (6), 2663-2668, 2016 | 5 | 2016 |
A bio-inspired robot with visual perception of affordances O Chang Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015 | 5 | 2015 |
Recognizing a moving object by using neural nets and ocular micro tremor O Chang Jornadas de Investigación Facultad de Ingeniería 2012. Proceedings, 2012 | 5 | 2012 |