Analysis of energy efficiency in non-residential buildings using metaheuristic and artificial intelligence techniques
Automatic detection of diabetic retinopathy using neuroevolution algorithmse
Automatic diagnosis of chorioretinitis due to toxoplasmosis in children using artificial intelligence techniques
Fusion of deep learning models for temporal data to obtain more effective and efficient models to be applied in real time
Design of efficient and explainable models in deep learning, transfer learning and online learning
Algorithms and applications of machine learning for high frequency time series and temporal data streams
Development of models and technologies for the management, pre-processing and analysis of real-time data.
Development of machine learning models using images collected by drones.
Machine learning techniques for earthquakes and environmental pollution time series forecasting.
Development of machine learning models for massive and time-indexed data analysis.