| Automatic visual inspection: An approach with multi-instance learning C Mera, M Orozco-Alzate, J Branch, D Mery Computers in Industry 83, 46-54, 2016 | 40 | 2016 |
| Un método para la evaluación de la accesibilidad y la usabilidad en aplicaciones móviles A Paniagua, D Bedoya, C Mera TecnoLógicas 23 (48), 99-117, 2020 | 33 | 2020 |
| Incremental learning of concept drift in Multiple Instance Learning for industrial visual inspection C Mera, M Orozco-Alzate, J Branch Computers in Industry 109, 153-164, 2019 | 22 | 2019 |
| A Survey on Class Imbalance Learning on Automatic Visual Inspection C Mera, J Branch IEEE Latin America Transactions 12 (4), 657-667, 2014 | 14 | 2014 |
| Improving representation of the positive class in imbalanced multiple-instance learning C Mera, M Orozco-Alzate, J Branch Image Analysis and Recognition: 11th International Conference, ICIAR 2014 …, 2014 | 13 | 2014 |
| Porosity estimation and pore structure characterization of foamed cement paste using non-specialized image digital processing L Chica, C Mera, LM Sepúlveda-Cano, A Alzate Materials and Structures 55 (7), 1-13, 2022 | 9 | 2022 |
| A bag oversampling approach for class imbalance in multiple instance learning C Mera, J Arrieta, M Orozco-Alzate, J Branch Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2015 | 9 | 2015 |
| Adaptive classification using incremental learning for seismic-volcanic signals with concept drift P Castro-Cabrera, G Castellanos-Dominguez, C Mera, L Franco-Marín, ... Journal of Volcanology and Geothermal Research 413, 107211, 2021 | 7 | 2021 |
| ViRe-YouTube: Visualizando los resultados de búsquedas en YouTube C Mera, R Therón Avances en Sistemas e Informática 6 (1), 135-143, 2009 | 7 | 2009 |
| Synthetic antimicrobial peptides generation using recurrent neural networks A Vélez, C Mera, S Orduz, JW Branch Revista DYNA 88 (216), 210-219, 2021 | 6* | 2021 |
| A method for assessing the accessibility and usability in mobile applications A Paniagua L, D Bedoya R, C Mera TecnoLógicas 23 (48), 98-116, 2020 | 5 | 2020 |
| Antimicrobial peptides designed by computational analysis of proteomes D Monsalve, A Mesa, LM Mira, C Mera, S Orduz, JW Branch-Bedoya Antonie van Leeuwenhoek 117 (1), 55, 2024 | 4 | 2024 |
| Quality Enhancement of Breast DCE-MRI Images Via Convolutional Autoencoders P Campáz-Usuga, RD Fonnegra, C Mera 2021 IEEE 2nd International Congress of Biomedical Engineering and …, 2021 | 4 | 2021 |
| Evaluation of Weakly Supervised Learning Paradigms on Automatic Visual Inspection C Mera, J Arrieta, A Espinosa IEEE Latin America Transactions 18 (6), 1017-1025, 2020 | 4 | 2020 |
| Visualización de conjuntos de datos de múltiples instancias JE Valencia-Duque, C Mera, LM Sepúlveda RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação, 84-99, 2020 | 2 | 2020 |
| Assessment of segmentation methods for pore detection in cellular concrete images JF Gaviria-Hdz, LJ Medina, C Mera, L Chica, LM Sepúlveda-Cano 2019 XXII Symposium on Image, Signal Processing and Artificial Vision …, 2019 | 2 | 2019 |
| Using Dispersion Measures for Determining Block-Size in Motion Estimation C Mera, M Trujillo Dyna 171, 97-104, 2012 | 2 | 2012 |
| LA-Breast: A Latin American multiparametric breast DCE-MRI dataset with benign and malignant annotations RD Fonnegra, C Mera, GM Díaz, L Hernández Data in Brief 57, 110995, 2024 | | 2024 |
| AmpClass: an Antimicrobial Peptide Predictor Based on Supervised Machine Learning C MERA-BANGUERO, S ORDUZ, P CARDONA, A ORREGO, ... Anais da Academia Brasileira de Ciências 96, e20230756, 2024 | | 2024 |
| Postcontrast Medical Image Synthesis in Breast DCE-MRI Using Deep Learning S Cañaveral, C Mera-Banguero, RD Fonnegra TecnoLógicas 27 (60), 2024 | | 2024 |
John W. BranchUniversidad Nacional de ColombiaGeverifieerd e-mailadres voor unal.edu.co