Digital Hardware Implementation of High Dimensional Fuzzy Systems. - Pablo Echevarria; M. Victoria Martínez; Javier Echanobe; Inés del Campo; José Manuel Tarela (WILF, 2007)

A hardware/software embedded agent for real-time control of ambient-intelligence environments. - Inés del Campo; M. Victoria Martínez; Javier Echanobe; Koldo Basterretxea; Faiyaz Doctor (FUZZ-IEEE, 2012)

Dynamic significant feature extraction for embedded intelligent agent implementations. - Koldo Basterretxea; Inés del Campo; M. Victoria Martínez; Javier Echanobe (CIDUE, 2013)

An intelligent embedded system for real-time adaptive extreme learning machine. - Raul Finker; Inés del Campo; Javier Echanobe; M. Victoria Martínez (IES, 2014)

A real-time driver identification system based on artificial neural networks and cepstral analysis. - Inés del Campo; Raul Finker; M. Victoria Martínez; Javier Echanobe; Faiyaz Doctor (IJCNN, 2014)

A fault tolerant single-chip intelligent agent with feature extraction capability. - Koldo Basterretxea; María Victoria Martínez; Inés del Campo; Javier Echanobe (Appl. Soft Comput., 2014)

An FPGA-based multiprocessor-architecture for intelligent environments. - Javier Echanobe; Inés del Campo; Koldo Basterretxea; M. Victoria Martínez; Faiyaz Doctor (Microprocess. Microsystems, 2014)

Driving Behavior Signals and Machine Learning: A Personalized Driver Assistance System. - María Victoria Martínez; Inés del Campo; Javier Echanobe; Koldo Basterretxea (ITSC, 2015)

Design and optimization of a Neural Network-based driver recognition system by means of a multiobjective genetic algorithm. - Javier Echanobe; Inés del Campo; M. Victoria Martínez (IJCNN, 2016)

Piecewise multi-linear fuzzy extreme learning machine for the implementation of intelligent agents. - Inés del Campo; Victoria Martínez; Flavia Orosa; Javier Echanobe; Estibaliz Asua; Koldo Basterretxea (IJCNN, 2017)

Genetic algorithm-based optimization of ELM for on-line hyperspectral image classification. - Javier Echanobe; Inés del Campo; M. Victoria Martínez; Koldo Basterretxea (IJCNN, 2017)

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)

A versatile hardware/software platform for personalized driver assistance based on online sequential extreme learning machines. - Inés del Campo; Victoria Martínez; Javier Echanobe; Estibaliz Asua; Raul Finker; Koldo Basterretxea (Neural Comput. Appl., 2019)

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

HSI-Drive: A Dataset for the Research of Hyperspectral Image Processing Applied to Autonomous Driving Systems. - Koldo Basterretxea; Victoria Martínez; Javier Echanobe; Jon Gutiérrez-Zaballa; Inés del Campo (IV, 2021)

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems. - Jon Gutiérrez-Zaballa; Koldo Basterretxea; Javier Echanobe; M. Victoria Martínez; Inés del Campo (DASIP, 2022)

Multi-Objective Genetic Algorithm for Optimizing an ELM-Based Driver Distraction Detection System. - Javier Echanobe; Koldo Basterretxea; Inés del Campo; Victoria Martínez; Naiara Vidal (IEEE Trans. Intell. Transp. Syst., 2022)

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)

HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving. - Jon Gutiérrez-Zaballa; Koldo Basterretxea; Javier Echanobe; M. Victoria Martínez; Unai Martinez-Corral (SSCI, 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 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)