Brenda L. Flores-Rios

Explicit and tacit knowledge conversion effects, in software engineering undergraduate students

Felix F. Gonzalez-Navarro, Maria Angelica Astorga-Vargas, Brenda L. Flores-Rios, 2017 .

A Model for Enhancing Tacit Knowledge Flow in Non-functional Requirements Elicitation

Francisco J. Pino, Brenda L. Flores-Rios, Sandra L. Buitr�n, 2017, 2017 5th International Conference in Software Engineering Research and Innovation (CONISOFT).

Análisis de Flujos de Conocimiento en Proyectos de Mejora de Procesos Software bajo una perspectiva multi-enfoque

Francisco J. Pino, Oscar M. Rodríguez-Elias, Felix F. Gonzalez-Navarro, 2014 .

Processes Reference Model for Interoperability in Learning Object Environments

Brenda L. Flores-Rios, Araceli Celina Justo L�pez, Gabriel L�pez Morteo, 2017, 2017 5th International Conference in Software Engineering Research and Innovation (CONISOFT).

Design of Experiments Applied to a Software Engineering Project Based on Knowledge Processes

Félix Fernando González-Navarro, Brenda L. Flores-Rios, Margarita Gil Samaniego, 2018, 2018 6th International Conference in Software Engineering Research and Innovation (CONISOFT).

Collaborative Working Spheres for Global Software Development Education During the COVID-19 Pandemic: An International Experience

Maria Angelica Astorga-Vargas, Brenda L. Flores-Rios, I. García, 2023, IEEE Access.

Process Mining Model Integrated with Control Flow, Case, Organizational and Time Perspectives in a Software Development Project

Maria Angelica Astorga-Vargas, Brenda L. Flores-Rios, F. F. González-Navarro, 2022, 2022 10th International Conference in Software Engineering Research and Innovation (CONISOFT).

Filling of Irregular Channels with Round Cross-Section: Modeling Aspects to Study the Properties of Porous Materials

Brenda L. Flores-Rios, Frank Werner, L. Burtseva, 2018, Materials.

Gene discovery for facioscapulohumeral muscular dystrophy by machine learning techniques.

Lluís A. Belanche-Muñoz, Brenda L. Flores-Rios, F. F. González-Navarro, 2015, Genes & genetic systems.

Flexible Planning Model for a High Tech Company with High Volume – High Mixture

Brenda L. Flores-Rios, Frank Werner, B. Flores-Ríos, 2016 .

BReML: A Breathing Rate Estimator Using Wi-Fi Channel State Information and Machine Learning

Brenda L. Flores-Rios, F. F. González-Navarro, J. E. Ibarra-Esquer, 2021, Mexican International Conference on Computer Science.