Bayesian Classifiers in Intrusion Detection Systems. - Johan Mardini-Bovea; Emiro de la Hoz Franco; Diego Molina-Estren; Paola Ariza Colpas; Andrés Ortiz 001; Julio Ortega 001; César A. Cárdenas R.; Carlos Andrés Collazos Morales (MLN, 2019)

Neural Networks as Tool to Improve the Intrusion Detection System. - Ernesto Esmeral; Johan Mardini-Bovea; Dixon Salcedo Morillo; Emiro de la Hoz Franco; Inirida Avendaño Villa; Carlos Henriquez (CISIM, 2021)

Projections of IoT Applications in Colombia Using 5G Wireless Networks. - Alexis Barrios-Ulloa; Dora Cama-Pinto; Johan Mardini-Bovea; Jorge Díaz-Martínez; Alejandro Cama-Pinto (Sensors, 2021)

Predictive Model of Cardiovascular Diseases Implementing Artificial Neural Networks. - Carlos Henriquez; Johan Mardini; Dixon Salcedo Morillo; María Pulgar-Emiliani; Inirida Avendaño Villa; Luis Angulo; Joan Pinedo (CISIM, 2022)

Comparison of Supervised Techniques of Artificial Intelligence in the Prediction of Cardiovascular Diseases. - Zhoe Comas-Gonzalez; Johan Mardini-Bovea; Dixon Salcedo Morillo; Emiro de la Hoz Franco (HCI (53), 2023)

Sensors and Machine Learning Algorithms for Location and POSTURE Activity Recognition in Smart Environments. - Zhoe Comas-Gonzalez; Johan Mardini; Shariq Aziz Butt; Andres Gabriel Sanchez Comas; Kåre Synnes; Aurelian Joliet; Emiro De la Hoz-Franco; Diego Molina-Estren; Gabriel Piñeres-Espitia; Sumera Naz; Daniela Ospino-Balcázar (Autom. Control. Comput. Sci., 2024)