| Chromosome Gene Orientations Inversion Networks (GOINs) of Plasmodium proteome VF Quevedo-Tumailli, B Ortega-Tenezaca, H Gonzalez-Diaz Journal of Proteome Research, 2018 | 21 | 2018 |
| IFPTML mapping of nanoparticle antibacterial activity vs. pathogen metabolic networks B Ortega-Tenezaca, H González-Díaz Nanoscale 13 (2), 1318-1330, 2021 | 16 | 2021 |
| Determinacion del grado de influencia de los factores climáticos de vulnerabilidad del sector agropecuario con tecnicas neutrosóficas M Amat-Abreu, B Ortega-Tenezaca, Y Jorge Investigación Operacional 41 (5), 699-705, 2020 | 13 | 2020 |
| PTML Multi-Label Algorithms: Models, Software, and Applications B Ortega-Tenezaca, V Quevedo-Tumailli, H Bediaga, J Collados, ... Current topics in medicinal chemistry, 2020 | 10 | 2020 |
| INFLUENCE OF AGE AND CLIMATE IN THE PRODUCTION OF CENCHRUS PURPUREUS IN THE ECUADORIAN AMAZON REGION HA Uvidia-Cabadina, JL Ramirez-De-La-Rivera, MD Decker, B Torres, ... Tropical and Subtropical Agroecosystems 21 (1), 95-100, 2018 | 7 | 2018 |
| IFPTML mapping of drug graphs with protein and chromosome structural networks vs. Pre-clinical assay information for discovery of Antimalarial compounds V Quevedo-Tumailli, B Ortega-Tenezaca, H González-Díaz International Journal of Molecular Sciences 22 (23), 13066, 2021 | 5 | 2021 |
| Prediction of Antileishmanial compounds: general model, preparation, and evaluation of 2-acylpyrrole derivatives C Santiago, B Ortega-Tenezaca, I Barbolla, B Fundora-Ortiz, S Arrasate, ... Journal of Chemical Information and Modeling 62 (16), 3928-3940, 2022 | 4 | 2022 |
| Automatic Control System for Cane Honey Factories in Developing Country Conditions VC Mejía, GC Mejía, OG Rubio, IB Cortes, EG Yordi, BO Tenezaca, ... Processes 10 (5), 915, 2022 | 4 | 2022 |
| Remote monitoring of operational parameters for the cane honey production process. OE Guijarro Rubio, VR Cerda Mejía, I Benítez Cortés, GL Cerda Mejía, ... Lámpsakos, 2021 | 2 | 2021 |
| Web Application for Real Time Data Visualization of Heat Sensor B Ortega-Tenezaca, V Quevedo-Tumailli, VRC Mejía, OG Rubí, EG Yordi, ... Proceedings of MOL2NET, 5909, 2018 | 2 | 2018 |
| Innovative Integration of Perturbation Theory into Machine Learning Models for Advanced Prediction in Nanotoxicology and Nanomedicine VF Quevedo-Tumailli, B Ortega-Tenezaca MDPI, 2023 | | 2023 |
| Prediction of Antileishmanial Compounds: General Model, Preparation, and Evaluation of 2‑Acylpyrrole Derivatives C Santiago Alvarez, B Ortega-Tenezaca, I Barbolla Cuadrado, ... ACS, 2022 | | 2022 |
| Mapping Bacterial Metabolic Network topology vs. Nanoparticle antibacterial activity B Ortega-Tenezaca MDPI, 2021 | | 2021 |
| PTML in optimizing preclinical plasmodium assays VF Quevedo-Tumailli, B Ortega-Tenezaca MDPI, 2021 | | 2021 |
| Critical essay on predictive models for anti-sarcoma compounds B Ortega-Tenezaca MDPI, 2021 | | 2021 |
| Predictive Modeling with Machine Learning and Perturbation Theory B Ortega-Tenezaca, V Quevedo-Tumailli MDPI, 2021 | | 2021 |
| Big Data Database Information Fusion Problem in AI-guided Drug Discovery Full Product Life Cycle Analysis V Quevedo-Tumailli, B Ortega-Tenezaca, H González-Díaz MDPI, 2021 | | 2021 |
| Predictive models as a useful tool for preclinical assay optimization in antimalarial compounds. V Quevedo, B Ortega-Tenezaca MDPI, 2021 | | 2021 |
| Remote monitoring of operational parameters for the cane honey production process VRC Mejía, OEG Rubio, IB Cortés, GLC Mejía, EG Yordi, DBO Tenezaca, ... Lámpsakos (revista descontinuada), 2021 | | 2021 |
| Monitoreo remoto de los parámetros operacionales para el proceso de producción de miel de caña OEG Rubio, VRC Mejía, IB Cortés, GLC Mejía, EG Yordi, DBO Tenezaca, ... Lámpsakos, 3991, 2021 | | 2021 |
Viviana Fernanda Quevedo TumailliDocente de Informática, Universidad Estatal AmazónicaDirección de correo verificada de uea.edu.ec
