M. Victoria Martínez

According to our database, M. Victoria Martínez authored at least 23 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

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

Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

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

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

Proceedings of the Design and Architecture for Signal and Image Processing, 2022

2021

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

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

2019

An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance.

Óscar Mata-Carballeira, Jon Gutiérrez-Zaballa, Inés del Campo, Victoria Martínez

Sensors, 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

Reduced Kernel Extreme Learning Machine for Traffic Sign Recognition.

E. Sanz-Madoz, Javier Echanobe, Óscar Mata-Carballeira, Inés del Campo, M. Victoria Martínez

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

A Hardware/Software Extreme Learning Machine Solution for Improved Ride Comfort in Automobiles.

Óscar Mata-Carballeira, Inés del Campo, M. Victoria Martínez, Javier Echanobe

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Deep Extreme Learning Machines with Auto Encoder for Speed Limit Signs Recognition.

Óscar Mata-Carballeira, Inés del Campo, M. Victoria Martínez, Javier Echanobe

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

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

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

Genetic algorithm-based optimization of ELM for on-line hyperspectral image classification.

Javier Echanobe, Inés del Campo, M. Victoria Martínez, Koldo Basterretxea

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

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

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

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

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Driving Behavior Signals and Machine Learning: A Personalized Driver Assistance System.

María Victoria Martínez, Inés del Campo, Javier Echanobe, Koldo Basterretxea

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014

An FPGA-based multiprocessor-architecture for intelligent environments.

Javier Echanobe, Inés del Campo, Koldo Basterretxea, M. Victoria Martínez, Faiyaz Doctor

Microprocess. Microsystems, 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

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

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An intelligent embedded system for real-time adaptive extreme learning machine.

Raul Finker, Inés del Campo, Javier Echanobe, M. Victoria Martínez

Proceedings of the IEEE Symposium on Intelligent Embedded Systems, 2014

2013

Dynamic significant feature extraction for embedded intelligent agent implementations.

Koldo Basterretxea, Inés del Campo, M. Victoria Martínez, Javier Echanobe

Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013

2012

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

Proceedings of the FUZZ-IEEE 2012, 2012

2007

Digital Hardware Implementation of High Dimensional Fuzzy Systems.

Pablo Echevarria, M. Victoria Martínez, Javier Echanobe, Inés del Campo, José Manuel Tarela

Proceedings of the Applications of Fuzzy Sets Theory, 2007