Grupo de Investigación Ingeniería de Software

2020

Orozco-Arias, S.; Piña, J.S.; Tabares-Soto, R.; Castillo-Ossa, L.F.; Guyot, R.; Isaza, G. Measuring Performance Metrics of Machine Learning Algorithms for Detecting and Classifying Transposable Elements. Processes 2020, 8, 638. Link: https://www.mdpi.com/2227-9717/8/6/638

Tabares-Soto, R., Orozco-Arias, S., Romero-Cano, V., Bucheli, V. S., Rodríguez-Sotelo, J. L., & Jiménez-Varón, C. F. (2020). A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data. PeerJ Computer Science, 6, e270. Link: https://peerj.com/articles/cs-270/

2019

Orozco-Arias, S., Isaza, G., & Guyot, R. (2019). Retrotransposons in plant genomes: Structure, identification, and classification through bioinformatics and machine learning. International journal of molecular sciences, 20(15), 3837. Link: https://www.mdpi.com/1422-0067/20/15/3837

Ceballos, D., López-Álvarez, D., Isaza, G., Tabares-Soto, R., Orozco-Arias, S., & Ferrin, C. D. (2019). A machine learning-based pipeline for the classification of CTX-M in metagenomics samples. Processes, 7(4), 235. Link: https://www.mdpi.com/2227-9717/7/4/235

Nelly, F., Montagut, L. B., Narváez, C. M., Calle, J. D. J. A., & Muñiz, J. L. (2019). La evolución conceptual en el aprendizaje de conceptos físicos mediada por unidades didácticas. Revista Educación en Ingeniería, 14(27), 1-8. Link: https://educacioneningenieria.org/index.php/edi/article/view/926

Orozco-Arias, S., Isaza, G., Guyot, R., & Tabares-Soto, R. (2019). A systematic review of the application of machine learning in the detection and classification of transposable elements. PeerJ, 7, e8311. Link: https://peerj.com/articles/8311/

Orozco-Arias, S., Núñez-Rincón, A. M., Tabares-Soto, R., & López-Álvarez, D. (2019). Worldwide co-occurrence analysis of 17 species of the genus Brachypodium using data mining. PeerJ, 6, e6193. Link: https://peerj.com/articles/6193/

2018

de Castro Nunes, R., Orozco-Arias, S., Crouzillat, D., Mueller, L. A., Strickler, S. R., Descombes, P., ... & Vanzela, A. L. (2018). Structure and distribution of centromeric retrotransposons at diploid and allotetraploid Coffea centromeric and pericentromeric regions. Frontiers in plant science, 9, 175. Link: https://www.frontiersin.org/articles/10.3389/fpls.2018.00175/full

Arias, C. G. C., Henao, C. A. A., & Vega, O. A. (2018). Plataforma Web para Colecciones Biológicas: Caso Herbario Universidad del Quindío. Scientia et Technica, 23(2), 249-257. Link: https://dialnet.unirioja.es/servlet/articulo?codigo=6643341

Flórez, J. C., Rendón, S. M., de Mejía, F. R., Giraldo, B. S., & Alzheimer’s Disease Neuroimaging Initiative. (2018, September). Intelligent Hybrid Approach for Computer-Aided Diagnosis of Mild Cognitive Impairment. In Colombian Conference on Computing (pp. 498-511). Springer, Cham.

Calderón-Mantilla, G., Gaitan-Bustamante, A., & Castillo-Ossa, L. F. (2018). A pipeline architecture for inferring and visualizing gene networks from cDNA microarray expression data in crop plants. Current Bioinformatics, 13(6), 566-572. Link: https://link.springer.com/chapter/10.1007/978-3-319-98998-3_38

Orozco-Arias, S., Liu, J., Tabares-Soto, R., Ceballos, D., Silva Domingues, D., Garavito, A., ... & Guyot, R. (2018). Inpactor, integrated and parallel analyzer and classifier of LTR retrotransposons and its application for pineapple LTR retrotransposons diversity and dynamics. Biology, 7(2), 32. Link: https://www.mdpi.com/2079-7737/7/2/32

2017

Viveros-Melo, D., Ortega-Adarme, M., Valencia, X. B., Castro-Ospina, A. E., Rendón, S. M., & Peluffo-Ordóñez, D. H. A multi-class extension for case-based reasoning applied to medical problems: A first approach. Link: https://www.researchgate.net/profile/Diego_Peluffo/publication/311680679_A_multi-class_extension_for_case-based_reasoning_applied_to_medical_problems_A_first_approach/links/5c5a6d8c92851c48a9bd7741/A-multi-class-extension-for-case-based-reasoning-applied-to-medical-problems-A-first-approach.pdf

Ángel-López, J. P., & Murillo-Rendón, S. (2017, June). Environment Mapping with Mobile Robot Guided by a Markers Vision System. In International Symposium on Ambient Intelligence (pp. 149-158). Springer, Cham. Link: https://link.springer.com/chapter/10.1007/978-3-319-61118-1_19

Viveros-Melo, D., Ortega-Adarme, M., Valencia, X. B., Castro-Ospina, A. E., Rendón, S. M., & Peluffo-Ordóñez, D. H. (2017). Case based reasoning applied to medical diagnosis using multi-class classifier: A preliminary study. ENFOQUE UTE, 8, 232-243. Link: http://ingenieria.ute.edu.ec/enfoqueute/public/journals/1/html_v8n1/art017.html

Orozco-Arias, S., Tabares-Soto, R., Ceballos, D., & Guyot, R. (2017, September). Parallel programming in biological sciences, taking advantage of supercomputing in genomics. In Colombian Conference on Computing (pp. 627-643). Springer, Cham. Link: https://link.springer.com/chapter/10.1007/978-3-319-66562-7_45

Rendón, S. M., Giraldo, B. S., & de Mejía, F. R. (2017, June). Design of an Intelligent Computational System for the Cognitive Training of People with Verbal Fluency Problems Associated to the Mild Cognitive Impairment. In International Conference on Practical Applications of Agents and Multi-Agent Systems (pp. 315-319). Springer, Cham. Link: https://link.springer.com/chapter/10.1007/978-3-319-61578-3_48

2016

Gil, L. J., Castillo, L. F., & Flórez, R. D. Reconocimiento de comandos de voz en español orientado al control de una silla de ruedas Spanish speech recognition oriented to a wheelchair control. Link: https://revistas.uis.edu.co/index.php/revistauisingenierias/article/download/35-48/7415?inline=1

Ll, M. S. H., Vélez, J. I., & Castillo, L. (2016). Distributed Denial of Service (DDoS) Attacks Detection Using Machine Learning Prototype. In Distributed Computing and Artificial Intelligence, 13th International Conference (pp. 33-41). Springer, Cham. Link: https://link.springer.com/chapter/10.1007/978-3-319-40162-1_4

2015

Gallego, J. A., Navarro, L. F., & Castillo, L. F. (2015). Aplicación de técnicas de minería de datos en atención primaria en salud (APS) para el análisis de riesgos en mujeres gestantes de la población Manizaleña atendida por assbasalud. Biosalud, 14(2), 71-78. Link: http://www.scielo.org.co/scielo.php?pid=S1657-95502015000200007&script=sci_abstract&tlng=en

Rendón, S. M., Narváez, C. M., & Giraldo, B. S. (2015). Impacto de IoT en la prevención, asistencia, detección y rehabilitación de pacientes con deterioro cognitivo: una revisión. Entre Ciencia e Ingenieria, 9(17), 25-32. Link: http://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/583

Castillo, L. F., González, M., Isaza, G., & Vélez, J. I. (2015). Hacia las arquitecturas cognitivas conscientes: aplicación en el dominio de los videojuegos. Ingeniare. Revista chilena de ingeniería, 23(4), 514-525. Link: https://scielo.conicyt.cl/scielo.php?pid=S0718-33052015000400004&script=sci_arttext