COVID-19 detection in X-ray images using convolutional neural networks D Arias-Garzón, JA Alzate-Grisales, S Orozco-Arias, HB Arteaga-Arteaga, ... Machine Learning with Applications 6, 100138, 2021 | 91 | 2021 |
GBRAS-Net: a convolutional neural network architecture for spatial image steganalysis TS Reinel, AAH Brayan, BOM Alejandro, MR Alejandro, AG Daniel, ... IEEE Access 9, 14340-14350, 2021 | 87 | 2021 |
Optimized convolutional neural network models for skin lesion classification. JP Villa-Pulgarin, AA Ruales-Torres, D Arias-Garzon, MA Bravo-Ortiz, ... Computers, Materials & Continua 70 (2), 2022 | 30 | 2022 |
Digital media steganalysis R Tabares-Soto, R Ramos-Pollán, G Isaza, S Orozco-Arias, MAB Ortíz, ... Digital Media Steganography, 259-293, 2020 | 25 | 2020 |
Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain R Tabares-Soto, HB Arteaga-Arteaga, A Mora-Rubio, MA Bravo-Ortíz, ... PeerJ Computer Science 7, e451, 2021 | 21 | 2021 |
Coffee maturity classification using convolutional neural networks and transfer learning MA Tamayo-Monsalve, E Mercado-Ruiz, JP Villa-Pulgarin, ... IEEE Access 10, 42971-42982, 2022 | 18 | 2022 |
Sensitivity of deep learning applied to spatial image steganalysis R Tabares-Soto, HB Arteaga-Arteaga, A Mora-Rubio, MA Bravo-Ortíz, ... PeerJ Computer Science 7, e616, 2021 | 16 | 2021 |
Multi-subject identification of hand movements using machine learning A Mora-Rubio, JA Alzate-Grisales, D Arias-Garzón, JIP Buriticá, ... Sustainable Smart Cities and Territories, 117-128, 2022 | 5 | 2022 |
Identification of hand movements from electromyographic signals using Machine Learning AM Rubio, JAA Grisales, R Tabares-Soto, S Orozco-Arias, CFJ Varón, ... Preprints, 2020 | 4 | 2020 |
SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model JA Alzate-Grisales, A Mora-Rubio, F García-García, R Tabares-Soto, ... IEEE Access 11, 118217-118228, 2023 | 3 | 2023 |
Machine learning techniques to the prediction of variables of the urban solid waste collection process MAV Díaz, JAA Grisales, AMR Franco, AR Delgado, CFJ Varón, SO Arias, ... 2022 IEEE Colombian Conference on Applications of Computational Intelligence …, 2022 | 3 | 2022 |
Deep learning applied to COVID-19 detection in X-ray images HB Arteaga-Arteaga, A Mora-Rubio, MA Bravo-Ortíz, JA Alzate-Grisales, ... AI Applications for Disease Diagnosis and Treatment, 202-247, 2022 | 3 | 2022 |
Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia JA Alzate-Grisales, A Mora-Rubio, HB Arteaga-Arteaga, MA Bravo-Ortiz, ... Scientific Data 9 (1), 757, 2022 | 2 | 2022 |
Methodology for Modeling Multiple Non-Homogeneous Thermal Zones Using Lumped Parameters Technique and Graph Theory F Florez, JA Alzate-Grisales, P Fernández de Córdoba, ... Energies 16 (6), 2693, 2023 | 1 | 2023 |
Using machine learning techniques to predict a list of prescription medications in the obstetrics and gynecology service AM Rubio, JAA Grisales, AYM Barrera, AR Delgado, ODA Ospina, ... 2022 IEEE Colombian Conference on Applications of Computational Intelligence …, 2022 | 1 | 2022 |
Machine learning approaches for covid-19 detection from chest x-ray imaging: a systematic review HB Arteaga-Arteaga, M delaPava, A Mora-Rubio, MA Bravo-Ortíz, ... arXiv preprint arXiv:2206.05615, 2022 | 1 | 2022 |
A simulation-based optimization model for quality control in solid waste collection process JP Morán-Zabala, JA Alzate-Grisales, MA Bravo-Ortiz, MA Valencia-Diaz, ... Production 34, e20240021, 2024 | | 2024 |
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review H Brayan Arteaga-Arteaga, M delaPava, A Mora-Rubio, MA Bravo-Ortíz, ... arXiv e-prints, arXiv: 2206.05615, 2022 | | 2022 |
Machine Learning with Applications D Arias-Garzón, JA Alzate-Grisales, S Orozco-Arias, HB Arteaga-Arteaga, ... | | |
Identificación de movimientos de la mano a partir de señales electromiográficas usando Machine Learning y Deep Learning JAA Grisales, AM Rubio, RT Soto, JIP Buriticá, SO Arias INVESTIGACIONES PARA, 97, 0 | | |