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)

Predictive model for the identification of activities of daily living (ADL) in indoor environments using classification techniques based on Machine Learning. - Johanna-Karinna García-Restrepo; Paola Patricia Ariza-Colpas; Alvaro Agustín Oñate-Bowen; Eydy del Carmen Suarez-Brieva; Miguel Urina-Triana; Emiro De la Hoz-Franco; Jorge Luis Díaz Martinez; Shariq Aziz Butt; Diego Molina-Estren (FNC/MobiSPC, 2021)

Correlation Analysis of Different Measurement Places of Galvanic Skin Response in Test Groups Facing Pleasant and Unpleasant Stimuli. - Andres Gabriel Sanchez Comas; Kåre Synnes; Diego Molina-Estren; Alexander Troncoso-Palacio; Zhoe Comas-Gonzalez (Sensors, 2021)

Semi-supervised Adaptive Method for Human Activities Recognition (HAR). - Fabio Mendoza Palechor; Enrico Vicario; Fulvio Patara; Alexis De la Hoz Manotas; Diego Molina-Estren (CISIM, 2022)

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)