Driving Style Recognition based on Ride Comfort Using a Hybrid Machine Learning Algorithm. - Inés del Campo; Estibaliz Asua; M. Victoria Martínez; Óscar Mata-Carballeira; Javier Echanobe (ITSC, 2018)

Deep Extreme Learning Machines with Auto Encoder for Speed Limit Signs Recognition. - Óscar Mata-Carballeira; Inés del Campo; M. Victoria Martínez; Javier Echanobe (ITSC, 2018)

A Hardware/Software Extreme Learning Machine Solution for Improved Ride Comfort in Automobiles. - Óscar Mata-Carballeira; Inés del Campo; M. Victoria Martínez; Javier Echanobe (IJCNN, 2019)

Reduced Kernel Extreme Learning Machine for Traffic Sign Recognition. - E. Sanz-Madoz; Javier Echanobe; Óscar Mata-Carballeira; Inés del Campo; M. Victoria Martínez (ITSC, 2019)

An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance. - Óscar Mata-Carballeira; Jon Gutiérrez-Zaballa; Inés del Campo; Victoria Martínez (Sensors, 2019)

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving. - Jon Gutiérrez-Zaballa; Koldo Basterretxea; Javier Echanobe; Óscar Mata-Carballeira; M. Victoria Martínez (ICECS, 2023)

On-chip hyperspectral image segmentation with fully convolutional networks for scene understanding in autonomous driving. - Jon Gutiérrez-Zaballa; Koldo Basterretxea; Javier Echanobe; M. Victoria Martínez; Unai Martinez-Corral; Óscar Mata-Carballeira; Inés del Campo (J. Syst. Archit., 2023)

An eco-driving approach for ride comfort improvement. - Óscar Mata-Carballeira; Inés del Campo; Estibaliz Asua (CoRR, 2025)

Analysis of the Motion Sickness and the Lack of Comfort in Car Passengers. - Estibaliz Asua; Jon Gutiérrez-Zaballa; Óscar Mata-Carballeira; Jon Ander Ruiz; Inés del Campo (CoRR, 2025)

An Intelligent System-on-a-Chip for a Real-Time Assessment of Fuel Consumption to Promote Eco-Driving. - Óscar Mata-Carballeira; Mikel Díaz-Rodríguez; Inés del Campo; Victoria Martínez (CoRR, 2025)