| Retrotransposons in plant genomes: structure, identification, and classification through bioinformatics and machine learning S Orozco-Arias, G Isaza, R Guyot International journal of molecular sciences 20 (15), 3837, 2019 | 105 | 2019 |
| 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 | 99 | 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 | 99 | 2021 |
| A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data R Tabares-Soto, S Orozco-Arias, V Romero-Cano, VS Bucheli, ... PeerJ Computer Science 6, e270, 2020 | 91 | 2020 |
| Measuring performance metrics of machine learning algorithms for detecting and classifying transposable elements S Orozco-Arias, JS Piña, R Tabares-Soto, LF Castillo-Ossa, R Guyot, ... Processes 8 (6), 638, 2020 | 65 | 2020 |
| The absence of the caffeine synthase gene is involved in the naturally decaffeinated status of Coffea humblotiana, a wild species from Comoro archipelago N Raharimalala, S Rombauts, A McCarthy, A Garavito, S Orozco-Arias, ... Scientific reports 11 (1), 8119, 2021 | 39 | 2021 |
| A systematic review of the application of machine learning in the detection and classification of transposable elements S Orozco-Arias, G Isaza, R Guyot, R Tabares-Soto PeerJ 7, e8311, 2019 | 38 | 2019 |
| Optimized Convolutional Neural Network Models for Skin Lesion Classification JP Villa-Pulgarin, AA Ruales-Torres, D Arias-Garzón, MA Bravo-Ortiz, ... Computers, Materials \& Continua 70 (2), 2131--2148, 2021 | 36 | 2021 |
| The genome and population genomics of allopolyploid Coffea arabica reveal the diversification history of modern coffee cultivars J Salojärvi, A Rambani, Z Yu, R Guyot, S Strickler, M Lepelley, C Wang, ... Nature genetics 56 (4), 721-731, 2024 | 32 | 2024 |
| Inpactor, integrated and parallel analyzer and classifier of LTR retrotransposons and its application for pineapple LTR retrotransposons diversity and dynamics S Orozco-Arias, J Liu, R Tabares-Soto, D Ceballos, D Silva Domingues, ... Biology 7 (2), 32, 2018 | 32 | 2018 |
| Structure and Distribution of Centromeric Retrotransposons at Diploid and Allotetraploid Coffea Centromeric and Pericentromeric Regions R de Castro Nunes, S Orozco-Arias, D Crouzillat, LA Mueller, SR Strickler, ... Frontiers in plant science 9, 175, 2018 | 32 | 2018 |
| Digital media steganalysis R Tabares-Soto, R Ramos-Pollán, G Isaza, S Orozco-Arias, MAB Ortíz, ... Digital Media Steganography, 259-293, 2020 | 28 | 2020 |
| 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 | 26 | 2022 |
| Machine learning applications to predict two-phase flow patterns HB Arteaga-Arteaga, A Mora-Rubio, F Florez, N Murcia-Orjuela, ... PeerJ Computer Science 7, e798, 2021 | 23 | 2021 |
| 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 | 23 | 2021 |
| K-mer-based machine learning method to classify LTR-retrotransposons in plant genomes S Orozco-Arias, MS Candamil-Cortés, PA Jaimes, JS Piña, ... PeerJ 9, e11456, 2021 | 22 | 2021 |
| Cervical cancer classification using convolutional neural networks, transfer learning and data augmentation MA BRAVO-ORTÍZ, HB ARTEAGA-ARTEAGA, KLR TABARES-SOTO, ... Revista EIA 18 (35), 100-111, 2021 | 20* | 2021 |
| InpactorDB: a classified lineage-level plant LTR retrotransposon reference library for free-alignment methods based on machine learning S Orozco-Arias, PA Jaimes, MS Candamil, CF Jiménez-Varón, ... Genes 12 (2), 190, 2021 | 20 | 2021 |
| Application of Data Mining Algorithms to Classify Biological Data: The Coffea canephora Genome Case J Arango-López, S Orozco-Arias, JA Salazar, R Guyot Advances in Computing: 12th Colombian Conference, CCC 2017, Cali, Colombia …, 2017 | 20 | 2017 |
| 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 |
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