Embedded Emotion Recognition within Cyber-Physical Systems using Physiological Signals. - Jose Angel Miranda Calero; Rodrigo Marino; José Manuel Lanza-Gutiérrez; Teresa Riesgo; Mario García-Valderas; Celia López-Ongil (DCIS, 2018)

Design Space Exploration for PCA Implementation of Embedded Learning in FPGAs. - Rodrigo Marino; José Manuel Lanza-Gutiérrez; Teresa Riesgo; Miguel Holgado (ISCAS, 2018)

Hardware Accelerator for Ethanol Detection in Water Media based on Machine Learning Techniques. - Rodrigo Marino; Sergio Quintero; José Manuel Lanza-Gutiérrez; Teresa Riesgo; Miguel Holgado; Jorge Portilla; Eduardo de la Torre (DCIS, 2019)

A Novel Data Processing Technique for Expert Resonant Nano-Pillars Transducers: A Case Study Measuring Ethanol in Water and Wine Liquid Matrices. - Sergio Quintero; Rodrigo Marino; José Manuel Lanza-Gutiérrez; Francisco Javier Sanza; Teresa Riesgo; Miguel Holgado (IEEE Access, 2019)

Towards an Machine Learning-Based Edge Computing Oriented Monitoring System for the Desert Border Surveillance Use Case. - Khalifa M. Bellazi; Rodrigo Marino; José Manuel Lanza-Gutiérrez; Teresa Riesgo (IEEE Access, 2020)

A Machine-Learning-Based Distributed System for Fault Diagnosis With Scalable Detection Quality in Industrial IoT. - Rodrigo Marino; Cristian Wisultschew; Andrés Otero; José Manuel Lanza-Gutiérrez; Jorge Portilla; Eduardo de la Torre (IEEE Internet Things J., 2021)

MBioTracker: Multimodal Self-Aware Bio-Monitoring Wearable System for Online Workload Detection. - Fabio Dell'Agnola; Una Pale; Rodrigo Marino; Adriana Arza 001; David Atienza (IEEE Trans. Biomed. Circuits Syst., 2021)