Deep neural network for load forecasting centred on architecture evolution. - Santiago Gomez-Rosero; Miriam A. M. Capretz; Syed Mir (ICMLA, 2020)

Machine Learning for Health Conditions Prognostic of HVAC Systems. - Ruiqi Tian; Santiago Gomez-Rosero; Miriam A. M. Capretz (CASCON, 2023)

Multi-Factor Edge-Weighting with Reinforcement Learning for Load Balancing of Electric Vehicle Charging Stations. - Lucas Hartman; Santiago Gomez-Rosero; Patrick Adjei; Miriam A. M. Capretz (ICMLA, 2023)

Anomaly detection in time-series data using evolutionary neural architecture search with non-differentiable functions. - Santiago Gomez-Rosero; Miriam A. M. Capretz (Appl. Soft Comput., 2024)

Safe Reinforcement Learning for Arm Manipulation with Constrained Markov Decision Process. - Patrick Adjei; Norman L. Tasfi; Santiago Gomez-Rosero; Miriam A. M. Capretz (Robotics, 2024)

Robust Smartphone Screen Integration with Deep Learning for Virtual Reality Pass-through. - Lucas Hartman; Ethan Pigou; Nicholas Strzelczyk; Santiago Gomez-Rosero; Miriam A. M. Capretz (COMPSAC, 2025)

Synthetic Fouling Image Data Generation for Heat Exchanger Predictive Maintenance. - Nicholas Strzelczyk; Santiago Gomez-Rosero; Amanda O. Timotheo; Leonardo de M. Honório; Miriam A. M. Capretz (COMPSAC, 2025)

Prospect utility with hyperbolic tangent function. - Patrick Adjei; Santiago Gomez-Rosero; Miriam A. M. Capretz (Int. J. Approx. Reason., 2025)