• Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martinez-Corral, Óscar Mata-Carballeira, and Inés del Campo  On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving JOURNAL OF SYSTEM ARCHITECTURE.,  2023;  139,  102878 - 102900 -  1383-7621
• O. Mata-Carballeira, I. del Campo, E. Asua  An eco-driving approach for ride comfort improvement IET INTELLIGENT TRANSPORT SYSTEMS,  2022;  16(2),  186 - 205
• E. Asua, J. Gutierrez-Zaballa, O. Mata-Carballeira, J.A. Ruiz, I. del Campo  Analysis of the Motion Sickness and the Lack of Comfort in Car Passengers APPLIED SCIENCES-BASEL,  2022;  12(8)
• J. Echanobe; K. Basterretxea; I. del Campo; V. Martínez; N. Vidal  Multi-Objective Genetic Algorithm for Optimizing an ELM-Based Driver Distraction Detection System IEEE Transactions on Intelligent Transportation Systems,  2022;  (Early Access Article),  11946 - 11959 -  1524-9050
• I. del Campo, M.V. Martínez, J. Echanobe, E. Asua, R. Finker, and K. Basterretxea  A versatile hardware/software platform for personalized driver assistance based on online sequential extreme learning machines Neural Computing & Applications,  2019;  31,  8871 - 8886
• S. Seijo; I. del Campo; J. Echanobe; J. García-Sedano  Modeling and multi-objective optimization of a complex CHP Process Applied Energy,  2016;  161,  309 - 319
• S. Seijo; I. del Campo; J. Echanobe; J. García-Sedano  Modeling and multi-objective optimization of a complex CHP Process Applied Energy,  2016;  161,  309 - 319
• K. Basterretxea, I. del Campo, M.V. Martínez, and J. Echanobe.  A fault Tolerant Single-Chip Intelligent Agent with Feature Extraction Capability Applied Soft Computing (Elsevier),  2014;  22,  358 - 371
• J. Echanobe; I. del Campo; K. Basterretxea; M.V. Martínez; F. Doctor  An FPGA-based multiprocessor-architecture for intelligent environments Microprocessors and Microsystems,  2014;  38,  730 - 740
• G Bosque; I. del Campo; J. Echanobe  Fuzzy systems, neural networks and neuro-fuzzy systems: A vision on their hardware implementation and platforms over two decades Engineering Applications of Artificial Intelligence,  2014;  32,  283 - 331
• G. Bosque; I. del Campo; J. Echanobe  Modelizing a non-linear system: a computational efficient adaptive neuro-fuzzy system tool based on matlab Journal of Advanced Computer Science and Technology,  2014;  3,  61 - 89
• I. del Campo, R. Finker, J. Echanobe, and K. Basterretxea  Controlled accuracy approximation of the sigmoid function for efficient FPGA-based implementation of artificial neurons Electronics Letters,  2013
• I. del Campo, K. Basterretxea, J. Echanobe, G. Bosque, F. Doctor  A System-on-Chip Development of a Neuro-Fuzzy Embedded Agent for Ambient-Intelligence Environments IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,  2012;  42,  501 - 512
• I. del Campo, J. Echanobe, K. Basterretxea, G. Bosque  Scalable Architecture for High-Speed Multidimensional Fuzzy Inference Systems JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS,  2011;  20, no.3,  375 - 400
• K. Basterretxea, and I. del Campo  Electronic Hardware for Fuzzy Computation Electronic Hardware for Fuzzy Computation. Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design, A. Laurent, M-J Lesot, eds. IGI Global , USA,  2009
• J. Echanobe, I. del Campo, G. Bosque  An adaptive neuro-fuzzy system for efficient implementations INFORMATION SCIENCES,  2008;  178 no. 9,  2150 - 2162
• P. Echevarría, M.V. Martínez, J. Echanobe, I. del Campo, and J.M. Tarela  Digital hardware implementation of high dimensional fuzzy systems. Applications of Fuzzy Sets Theory, Lecture Notes in Computer Science Springer, Berlín / Heidelberg,  2008;  4578
• I. del Campo, J. Echanobe, G. Bosque, J. M. Tarela  Efficient hardware/software implementation of an adaptive neuro-fuzzy system IEEE TRANSACTIONS ON FUZZY SYSTEMS,  2008;  16 no. 3,  761 - 778
• G. Bosque, J. Echanobe, I. del Campo, J.M. Tarela  Modelling and Synthesis of Computational efficient adaptive neuro-fuzzy systems based on Matlab. Lecture Notes in Computer Science, Kurkova, V, Neruda, R, Koutnik J. Eds. Springer, Berlin-Heidelberg,  2008
• K. Basterretxea, J. M. Tarela, I. del Campo, G. Bosque  An Experimental Study on Nonlinear Function Computation for Neural/Fuzzy Hardware Design IEEE TRANSACTIONS ON NEURAL NETWORKS,  2007;  18,  266 - 283
• K. Basterretxea, J. M. Tarela, I. del Campo  Digital gaussian membership function circuit for neuro-fuzzy hardware ELECTRONIC LETTERS,  2006;  42,  44 - 46
• J. Echanobe, I. del Campo, J. M. Tarela  Issues concerning the analysis and implementation of a class of fuzzy controllers FUZZY SETS AND SYSTEMS,  2005;  155 no. 2,  252 - 271
• K. Basterretxea, J. M. Tarela, I. del Campo  Approximation of Sigmoid Function and the Derivative for Hardware Implementation of Artificial Neuron IEE- DEVICES, CIRCUITS AND SYSTEMS,  2004;  151, no. 1,  18 - 24
• J. R. Garitagoitia, J. R. Glez. de Mendívil, J. Echanobe, J. J. Astrain, F. Fariña  Deformed Fuzzy Automata for Correcting Imperfect Strings of Fuzzy Symbols IEEE TRANSACTIONS ON FUZZY SYSTEMS,  2003;  11 no. 3,  299 - 310
• I. del Campo, J. Echanobe, and J.M. Tarela  Design and Synthesis of Piecewise-linear Fuzzy Systems Applications and Science in Soft Computing. Springer, London (UK),  2003;  24,  111 - 118
• K. Basterretxea, J.M. Tarela, and I. del Campo  Gaussian Function Approximation in Neuro-Fuzzy Systems Systems. Applications and Science in Soft Computing. Springer, London (UK),  2003;  24,  163 - 170
• K. Basterretxea, J. M. Tarela, I. del Campo  Digital Design of Sigmoid Approximators for Artificial Neural Networks ELECTRONIC LETTERS,  2002;  38,  35 - 37
• J. M. Tarela, K. Basterretxea, I. del Campo, M.V. Martínez, E. Alonso  Optimised PWL Recursive Approximation ans its Application to Neuro-fuzzy Systems MATHEMATICAL AND COMPUTER MODELLING,  2002;  35,  867 - 883
• K. Basterretxea, J.M. Tarela, and I. del Campo  Approximation of Sigmoid Function and the Derivative for Artificial Neurons, in "Advances in Neural Networks and Applications World Scientific. USA,  2001;  960-8052-26-2
• I. del Campo, J.M. Tarela, and K. Basterretxea  Quantization Errors in Digital Implementations of Fuzzy Controllers Digital Controller Implementation Ans Fragility: A Modern Perspective, Springer Verlag. London,  2001;  1-85233-390-1
• I. del Campo, J.M. Tarela  Consequences of the Digitization on the Performance of a Fuzzy Logic Controller IEEE TRANSACTIONS ON FUZZY SYSTEMS,  1999;  7,  85 - 92
• K. Basterretxea, E. Alonso, J.M. Tarela, and I. del Campo  PWL Approximation of Non-linear Functions for the Implementation of Neuro-Fuzzy Systems, in "Computational Intelligence and Applications" World Scientific. USA,  1999;  960-8052-05-X
• I. del Campo, R. Callao, and J. M. Tarela  Automatic Implementation of Different Inference Architectures for Fuzzy Control on PLDs COMPUTERS AND ELECTRICAL ENGINEERING,  1998;  24,  113 - 121
• J. Echanobe, J.R. Glez. de Mendívil, J. R. Garitagoitia, C. Alastruey  Deformed Systems for Contextual Postproccesing FUZZY SETS AND SYSTEMS,  1998;  96,  335 - 341
• I. del Campo, J. Echanobe, J. M. Tarela  Implementation of intelligent controllers on digital signal processors CYBERNETICS AND SYSTEMS,  1998;  29 no. 3,  283 - 301
• J. Echanobe, J.R. G. de Mendivil, J.R. Garitagoitia  A text recognition system based on a Neural Network and on a Deformed System. From Natural to Artificial Neural Computation, Lecture Notes in Computer Science. Mira, J, Sandoval, F Eds. Springer,  1995
• I. del Campo, J.R. González de Mendívil, J.M. Tarela  Development of a Fuzzy Logic Controller on a Digital Signal Processor MICROPROCESSING AND MICROPROGRAMMING,  1993;  39,  277 - 280
• J.M. Tarela, E. Alonso, R. Lezcano, I. del Campo, J.R. Garitagoitia, and J.R. González de Mendívil  Diseño Digital de una Neurona para Síntesis de Funciones no Lineales Homenaje a Vicente Aleixandre. Universidad de Valladolid,  1993;  84-7762-410-0
• J.R. Garitagoitia, I. del Campo, J.M. Tarela, and E. Alonso  Aplicación de la Lógica Borrosa al Control de Procesos Nuevas Tendencias en Inteligencia Artificial. Universidad de Deusto,  1992;  84-7485-257-9
• M.A. Braun, S. Seijo, J. Echanobe, P.K. Shukla, I. del Campo, J. Garcia-Sedano, H. Schmeck  A neuro-genetic approach for modeling and optimizing a complex cogeneration process Applied Soft Computing,  2017;  48,  347 - 358
• Inés del Campo, Victoria Martínez, Javier Echanobe, Estibalitz Asua, Raúl Finker, Koldo Basterretxea  A versatile hardware/software platform for personalized driver assistance based on online sequential extreme learning machines Neural Computing & Applications,  2019
• Óscar Mata-Carballeira, Jon Gutiérrez-Zaballa, Inés del Campo, Victoria Martínez  An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance Sensors IF: 3.031 (Q1),  2019;  19(18)
• Óscar Mata-Carballeira, Mikel Díaz-Rodríguez, Inés del Campo, Victoria Martínez  An Intelligent System-on-a-Chip for a Real-Time Assessment of Fuel Consumption to Promote Eco-Driving Applied Sciences IF: 2.474 (Q2),  2020;  10(18)