A Multiagent Model for Intelligent Distributed Control Systems. - José Aguilar 001; Mariela Cerrada; Gloria Mousalli; Franklin Rivas; Francisco Hidrobo (KES (1), 2005)

Application of expert systems in medicine. - Francklin Rivas Echeverría; Carlos Rivas Echeverría (CCIA, 2006)

A Multi-Agent System for the Management of Abnormal Situations in an Artificially Gas-Lifted Well. - José Aguilar-Castro; Frank Prato; César Bravo; Francklin Rivas (Appl. Artif. Intell., 2009)

Capa Semántica para la Gerencia Integrada de Producción basada en Ontologías. - César Bravo; José Aguilar-Castro; Addison Ríos; Joseph Aguilar-Martin; Francklin Rivas (Rev. Colomb. de Computación, 2011)

Interpretative Ontology: Supervision and Diagnostic. - Taniana Rodriguez; José Aguilar 001; Addison Ríos; Francklin Rivas; Audine Subias (CLEI, 2013)

Design of a Recommender System for Intelligent Classrooms Based on Multiagent Systems. - Dulce Rivero-Albarrán; Francklin Rivas Echeverría; Laura Guerra; Brian Arellano; Stalin Arciniegas (ICITS, 2018)

Knowledge Based of an Expert System Using the Horizontal Analysis for Financial Statements of National, Private TV Companies in Ecuador. - Ana Cecilia Vaca-Tapia; Francisco Campos-Freire; Francklin Iván Rivas-Echeverría; Johnny Alejandro Aragón-Puetate (ICITS, 2018)

Heath Monitoring of Capacitors and Supercapacitors Using the Neo-Fuzzy Neural Approach. - Abdenour Soualhi; Maawad Makdessi; Ronan German; Francklin Rivas Echeverría; Hubert Razik; Ali Sari; Pascal Venet; Guy Clerc (IEEE Trans. Ind. Informatics, 2018)

Machine learning models for the prediction of the SEIRD variables for the COVID-19 pandemic based on a deep dependence analysis of variables. - Yullis Quintero; Douglas Ardila; Edgar Camargo; Francklin Rivas; José Aguilar 001 (Comput. Biol. Medicine, 2021)

Assessing the Effectiveness of YOLO Architectures for Smoke and Wildfire Detection. - Edmundo Casas; Leo Thomas Ramos; Eduardo Bendek; Francklin Rivas Echeverría (IEEE Access, 2023)

EngineFaultDB: A Novel Dataset for Automotive Engine Fault Classification and Baseline Results. - Mary Vergara; Leo Thomas Ramos; Néstor Diego Rivera-Campoverde; Francklin Rivas Echeverría (IEEE Access, 2023)

Development of a Wildfire Detection and Monitoring Solution Using Computer Vision. - Leo Thomas Ramos; Edmundo Casas; Eduardo Bendek; Cristian Romero; Francklin Rivas Echeverría; Dunetchka Cerpa; Pablo Hernández; Gonzalo Orellana; José Luis Ibarra; Carlos Rosas Albrecht; Natalia Cuevas; Juan Carlos Gallardo Hurtado (RTSI, 2024)

An End-to-End Platform for Managing Third-Party Risks in Oil Pipelines. - Edmundo Casas; Leo Thomas Ramos; Cristian Romero; Francklin Rivas Echeverría; Dunetchka Cerpa; Pablo Hernández; Gonzalo Orellana; José Luis Ibarra; Carlos Rosas Albrecht; Natalia Cuevas; Juan Carlos Gallardo Hurtado (IEEE Access, 2024)

A Study of ConvNeXt Architectures for Enhanced Image Captioning. - Leo Thomas Ramos; Edmundo Casas; Cristian Romero; Francklin Rivas Echeverría; Manuel Eugenio Morocho Cayamcela (IEEE Access, 2024)

A comparative study of YOLOv5 and YOLOv8 for corrosion segmentation tasks in metal surfaces. - Edmundo Casas; Leo Thomas Ramos; Cristian Romero; Francklin Rivas Echeverría (Array, 2024)

SustainMeter: A knowledge-based system for assessing sustainability of SMEs in the fashion industry. - Leo Thomas Ramos; Mike Bermeo; Andrés Quelal; Anthony Crespo; Gabriela Cajamarca; Francklin Rivas Echeverría (SoftwareX, 2024)

Computer vision for wildfire detection: a critical brief review. - Leo Thomas Ramos; Edmundo Casas; Eduardo Bendek; Cristian Romero; Francklin Rivas Echeverría (Multim. Tools Appl., 2024)

LegalBot-EC: An LLM-Based Chatbot for Legal Assistance in Ecuadorian Law. - Francklin Rivas Echeverría; Leo Thomas Ramos; José Luis Ibarra; Sonia Zerpa-Bonillo; Stalin Arciniegas; Marilena Asprino-Salas (IEEE Access, 2025)

Synthetic generated data for intelligent corrosion classification in oil and gas pipelines. - Leo Thomas Ramos; Edmundo Casas; Francklin Rivas Echeverría (Intell. Syst. Appl., 2025)

IoT device for detecting abnormal vibrations in motors using TinyML. - Stalin Arciniegas; Dulce Rivero; Jefferson Piñan; Elizabeth Diaz; Francklin Rivas (Discov. Internet Things, 2025)