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Zeng, X. X., Adorna H., Martínez-del-Amor M. A., & Pan L. (2010).  When Matrices Meet Brains. Eighth Brainstorming Week on Membrane Computing. 255-266.
U
Arazo-Sánchez, M., Barroso-Mancha M., De-la-Torre-Pérez Ó., Moreno-Valero L., Ribes-Metidieri A., Ribes-Metidieri P., et al. (2016).  Uranium-238 decay chain. Fourteenth Brainstorming Week on Membrane Computing (BWMC2016). 113-130.
Niu, Y., Paun G., & Pérez-Jiménez M. J. (2011).  A Uniform Solution to Common Algorithmic Problem by Tissue P Systems with Cell Division. (R. Abdullah, A.T. Khader, I. Venkat, Li-Pei Wong, K. G. Subramanian, Ed.).Sixth International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2011. 302-326. Abstract
Alhazov, A., & Pérez-Jiménez M. J. (2007).  Uniform Solution of QSAT using polarizationless active membranes. Lecture Notes in Computer Science. 4664, 122-133. Abstract
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Alhazov, A., Pan L., & Paun G. (2004).  Trading polarizations for labels in P systems with active membranes . Acta Informatica. 41(2-3), 111-144. Abstract
Alonso-Jiménez, J. A., Borrego-Díaz J., Chávez-González A. M., & Gutiérrez-Naranjo M. A. (2002).  Towards a Practical Argumentative Reasoning with QSD. I Taller Iberoamericano sobre Deducción Automática e Inteligencia Artificial.
Andreu-Guzmán, J. A., & Valencia-Cabrera L. (2018).  Towards a General Framework for Membrane Algorithms. Bulletin of the International Membrane Computing Society. 5, 91-96.
Amos, M., Paun G., Rozenberg G., & Salomaa A. (2002).  Topics in the theory of DNA computing. Theoretical Computer Science. 287(1), 3 - 38 . Abstract
Amos, M., Paun G., Rozenberg G., & Salomaa A. (2002).  Topics in the theory of DNA computing. Theoretical Computer Science. 287(1), 3 - 38 . Abstract
S
Ardelean, I., Díaz-Pernil D., Gutiérrez-Naranjo M. A., Peña-Cantillana F., & Sarchizian I. (2013).  Studying the Chlorophyll Fluorescence in Cyanobacteria with Membrane Computing Techniques. Eleventh Brainstorming Week on Membrane Computing (11BWMC). 9-24. Abstract
Arazo-Sánchez, M., Barroso-Mancha M., De-la-Torre-Pérez Ó., Moreno-Valero L., Ribes-Metidieri A., Ribes-Metidieri P., et al. (2016).  Stern-Gerlach Experiment. Fourteenth Brainstorming Week on Membrane Computing (BWMC2016). 101-112.
Cabarle, F. G. C., Adorna H. N., Pérez-Jiménez M. J., & Song T. (2015).  Spiking neural P systems with structural plasticity. Neural Computing and Applications. 26(8), 1905-1917. Abstract
Cabarle, F., Adorna H., & Martínez-del-Amor M. A. (2011).  Spiking neural P system without delay simulator implementation using GPGPUs. Eleventh Philippine Computing Science Congress. 35-43.
Cabarle, F., Adorna H., & Martínez-del-Amor M. A. (2011).  A Spiking Neural P system simulator based on CUDA. 12th International Conference on Membrane Computing (CMC12). 77-92. Abstract
Cabarle, F., Adorna H., & Martínez-del-Amor M. A. (2012).  A Spiking Neural P System Simulator Based on CUDA. Lecture Notes in Computer Science. 7184(12th International Conference, CMC 2011), 87-103. Abstract
Cabarle, F., Adorna H., Martínez-del-Amor M. A., & Pérez-Jiménez M. J. (2011).  Spiking Neural P System Simulations on a High Performance GPU Platform. (Yang Xiang, Alfredo Cuzzocrea, Michael Hobbs, Wanlei Zhou, Ed.).Lecture Notes in Computer Science. 7017, 99-108. Abstract
Martínez-del-Amor, M. A., Orellana-Martín D., Cabarle F. G. C., Pérez-Jiménez M. J., & Adorna H. N. (2017).  Sparse-matrix Representation of Spiking Neural P Systems for GPU. Fifteenth Brainstorming Week on Membrane Computing (BWMC2017). 161-170.
Martínez-del-Amor, M. A., Orellana-Martín D., Pérez-Hurtado I., Cabarle F. G. C., & Adorna H. N. (2021).  Simulation of Spiking Neural P Systems with Sparse Matrix-Vector Operations. Processes. 9(4),  Abstract
Cabarle, F., Adorna H., & Martínez-del-Amor M. A. (2011).  Simulating Spiking Neural P Systems Without Delays Using GPUs. Ninth Brainstorming Week on Membrane Computing. 23-42. Abstract
Cabarle, F., Adorna H., & Martínez-del-Amor M. A. (2011).  Simulating Spiking Neural P Systems Without Delays Using GPUs. International Journal of Natural Computing Research. 2(2), 19-31. Abstract
Cabarle, F. G. C., Adorna H. N., & Pérez-Jiménez M. J. (2015).  Sequential spiking neural P systems with structural plasticity based on max/min spike number. Neural Computing and Applications. 1-11. Abstract
Cabarle, F. G. C., Adorna H. N., & Pérez-Jiménez M. J. (2016).  Sequential spiking neural P systems with structural plasticity based on max/min spike number. Neural Computing and Applications. 27(5), 1337-1347. Abstract
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Pérez-Jiménez, M. J., Riscos-Núñez A., Rius-Font M., & Valencia-Cabrera L. (2013).  The relevance of the environment on the efficiency of tissue P systems. (Artiom Alhazov, S. Cojocaru, Marian Gheorghe, Yurii Rogozhin, Ed.).14th International Conference on Membrane Computing. 283-295.
Q
Gutiérrez-Naranjo, M. A., Alonso-Jiménez J. A., & Borrego-Díaz J. (2002).  A Quasi-Metric for Machine Learning. Lecture Notes in Computer Science. 2527, 193-203. Abstract
P
Orellana-Martín, D., Ramírez-de-Arellano A., Andreu-Guzmán J. A., Romero-Jiménez Á., & Pérez-Jiménez M. J. (2023).  A Protocol for Solutions to DP-Complete Problems through Tissue Membrane Systems. Mathematics. 11, 2797. Abstract

Statistics

  • Books (11)
  • Edited Books (28)
  • Contributions to Book Chapters (42)
  • Journal Papers (421)
  • Papers in Collective Volumes (0)
  • Technical Reports (3)
  • Conference Contributions (289)
  • Conference Proceedings (38)