Inés del Campo

发表

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

Javier Echanobe, Óscar Mata-Carballeira, Inés del Campo, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

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

Javier Echanobe, Inés del Campo, M. Victoria Martínez, 2014, 2014 IEEE Symposium on Intelligent Embedded Systems (IES).

Hardware Implementation of a Neural-Network Recognition Module for Visual Servoing in a Mobile Robot

Iñaki Maurtua, Loreto Susperregi, Javier Echanobe, 2010, 2010 Workshops on Database and Expert Systems Applications.

Development of an embedded system for visual servoing in an industrial scenario

Iñaki Maurtua, Loreto Susperregi, Javier Echanobe, 2010, International Symposium on Industrial Embedded System (SIES).

Piecewise multi-linear fuzzy extreme learning machine for the implementation of intelligent agents

Javier Echanobe, Inés del Campo, Estibaliz Asua, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

An Experimental Study on Nonlinear Function Computation for Neural/Fuzzy Hardware Design

Inés del Campo, José Manuel Tarela, Koldo Basterretxea, 2007, IEEE Transactions on Neural Networks.

A wearable human activity recognition system on a chip

Javier Echanobe, Inés del Campo, Koldo Basterretxea, 2014, Proceedings of the 2014 Conference on Design and Architectures for Signal and Image Processing.

A fault tolerant single-chip intelligent agent with feature extraction capability

Javier Echanobe, Inés del Campo, M. Victoria Martínez, 2014, Appl. Soft Comput..

A divide-and-conquer strategie for FPGA implementations of large MLP-based classifiers

Javier Echanobe, Inés del Campo, Raul Finker, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A CAD tool to implement real-time fuzzy controllers on DSPs

Inés del Campo, José Manuel Tarela, 1995, Proceedings Seventh Euromicro Workshop on Real-Time Systems.

Modeling and Synthesis of Computational Efficient Adaptive Neuro-Fuzzy Systems Based on Matlab

Javier Echanobe, Inés del Campo, José Manuel Tarela, 2008, ICANN.

A Neuro-Fuzzy Embedded System for Intelligent Environments

Javier Echanobe, Inés del Campo, Guillermo Bosque, 2009, IJCCI.

Issues concerning the analysis and implementation of a class of fuzzy controllers

Javier Echanobe, Inés del Campo, J. M. Tarela, 2005, Fuzzy Sets Syst..

A semi-active suspension embedded controller in a FPGA

Javier Echanobe, Inés del Campo, Koldo Basterretxea, 2010, International Symposium on Industrial Embedded System (SIES).

A hardware/software embedded agent for real-time control of ambient-intelligence environments

Faiyaz Doctor, Javier Echanobe, Inés del Campo, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Controlled-Accuracy Approximation of Nonlinear Functions for Soft Computing Applications: A High Performance Co-proccessor for Intelligent Embedded Systems

Javier Echanobe, Inés del Campo, Raul Finker, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Scalable Architecture for High-Speed Multidimensional Fuzzy Inference Systems

Javier Echanobe, Inés del Campo, Koldo Basterretxea, 2011, J. Circuits Syst. Comput..

Multilevel adaptive neural network architecture for implementing single-chip intelligent agents on FPGAs

Faiyaz Doctor, Javier Echanobe, Inés del Campo, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Consequences of the digitization on the performance of a fuzzy logic controller

Inés del Campo, J. M. Tarela, José Manuel Tarela, 1999, IEEE Trans. Fuzzy Syst..

Digital Hardware Implementation of High Dimensional Fuzzy Systems

Javier Echanobe, Inés del Campo, M. Victoria Martínez, 2007, WILF.

A real-time driver identification system based on artificial neural networks and cepstral analysis

Faiyaz Doctor, Javier Echanobe, Inés del Campo, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

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

Javier Echanobe, Inés del Campo, M. Victoria Martínez, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Dynamic Partial Reconfiguration in Embedded Systems for Intelligent Environments

Javier Echanobe, Inés del Campo, Raul Finker, 2012, 2012 Eighth International Conference on Intelligent Environments.

A System-on-Chip Development of a Neuro–Fuzzy Embedded Agent for Ambient-Intelligence Environments

Faiyaz Doctor, Javier Echanobe, Inés del Campo, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

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, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A neuro-genetic approach for modeling and optimizing a complex cogeneration process

Hartmut Schmeck, Marlon Alexander Braun, Javier Echanobe, 2016, Appl. Soft Comput..

ELM-based hyperspectral imagery processor for onboard real-time classification

Inés del Campo, Raul Finker, Unai Martinez-Corral, 2016, 2016 Conference on Design and Architectures for Signal and Image Processing (DASIP).

Driver identification and impostor detection based on driving behavior signals

Javier Echanobe, Inés del Campo, M. Javier Martínez, 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

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

Óscar Mata-Carballeira, Inés del Campo, Victoria Martínez, 2019, Sensors.

Development of a fuzzy logic controller on a digital signal processor

José Ramón González de Mendívil, Inés del Campo, José Manuel Tarela, 1993, Microprocess. Microprogramming.

Fuzzy systems, neural networks and neuro-fuzzy systems: A vision on their hardware implementation and platforms over two decades

Javier Echanobe, Inés del Campo, Guillermo Bosque, 2014, Eng. Appl. Artif. Intell..

Driving Style Recognition based on Ride Comfort Using a Hybrid Machine Learning Algorithm*

Javier Echanobe, Óscar Mata-Carballeira, Inés del Campo, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

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

Javier Echanobe, Óscar Mata-Carballeira, Inés del Campo, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Integration of a Wireless Sensor-actuator Network and an FPGA for Intelligent Inhabited Environments

Javier Echanobe, Inés del Campo, Estibaliz Asua, 2014, SENSORNETS.

Efficient Hardware/Software Implementation of an Adaptive Neuro-Fuzzy System

Javier Echanobe, Inés del Campo, J. M. Tarela, 2008, IEEE Transactions on Fuzzy Systems.

Implementation of Intelligent Controllers on Digital Signal Processors

Javier Echanobe, Inés del Campo, José Manuel Tarela, 1998, Cybern. Syst..

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

Javier Echanobe, Inés del Campo, M. Victoria Martínez, 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

An adaptive neuro-fuzzy system for efficient implementations

Javier Echanobe, Inés del Campo, Guillermo Bosque, 2008, Inf. Sci..

Dynamic significant feature extraction for embedded intelligent agent implementations

Javier Echanobe, Inés del Campo, M. Victoria Martínez, 2013, 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE).

HSI-Drive: A Dataset for the Research of Hyperspectral Image Processing Applied to Autonomous Driving Systems

Javier Echanobe, Inés del Campo, Victoria Martínez, 2021, 2021 IEEE Intelligent Vehicles Symposium (IV).