Parra, A., Zubizarreta, A., Perez, J. A novel Torque Vectoring Algorithm with Regenerative Braking Capabilities, IEEE 45th Annual Conference of the Industrial Electronics Society, Lisboa, 2019. ISBN: 978-1-7281-4878-6. https://doi.org/10.1109/IECON.2019.8926644

Etxegarai, U., Portillo, E., Irazusta, J., Cabanes, I. An accessible lactate threshold assessment tool to support endurance athletes' trainings, 29th European Conference on Operational Research (EURO 2018), Valencia, 2018. https://www.euro-online.org/conf/euro29/treat_abstract?paperid=2068

Mancisidor, A., Zubizarreta, A., Cabanes, I., Brull, A., Rodriguez, A., Hyung, J. Pre-clinical validation of the UHP multifunctional upper-limb rehabilitation robot based , IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, España, 2018. ISBN: 978-1-5386-8093-3. CORE A. https://doi.org/10.1109/IROS.2018.8593527

Parra, A., Zubizarreta, A., Perez, J. An Intelligent Torque Vectoring performance evaluation comparison for electric vehicles, 15 th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018), Singapur, 2018. ISBN: 978-1-5386-9582-1. https://doi.org/10.1109/ICARCV.2018.8581190

Irazusta, J., Etxegarai, U., Insunza, A., Santos-Concejero, J., Portillo, E., Gil, S.M. Prediction of performance by heart rate-derived parameters in recreational runners, 22nd ECSS Congress, MetropolisRuhr, Alemania, 2017. http://wp1191596.server-he.de/DATA/CONGRESSES/METROPOLIS_2017/DOCUMENTS/METROPOLIS_BoA.pdf

Etxegarai, U., Portillo, E., Cabanes, I., Irazusta, J. Estimation of lactate threshold using machine learning techniques, 22nd ECSS Congress, MetropolisRuhr, Alemania, 2017. http://wp1191596.server-he.de/DATA/CONGRESSES/METROPOLIS_2017/DOCUMENTS/METROPOLIS_BoA.pdf

Mancisidor, A., Zubizarreta, A., Cabanes, I., Bengoa, P., Hyung, J. Interaction force and motion estimators facilitating impedance control of the upper limb rehabilitation robot, IEEE-RAS-EMBS International Conference on Rehabilitation Robotics (ICORR 2017), London, 2017. https://doi.org/10.1109/ICORR.2017.8009307