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2024
Xian, R., Xiong X., Peng H., Wang J., Ramírez-de-Arellano-Marrero A., & Yang Q. (2024).  Feature fusion method based on spiking neural convolutional network for edge detection. Pattern Recognition. 147, 110112. Abstract
2021
Casauay, L. J., Macababayao I. C., Cabarle F. G., de la Cruz R. T., Adorna H., Zeng X. X., et al. (2021).  A Framework for Evolving Spiking Neural P Systems. International Journal of Unconventional Computing. 16(2-3), 121-139.
2020
Valencia-Cabrera, L., Orellana-Martín D., Martínez-del-Amor M. A., Pérez-Hurtado I., & Pérez-Jiménez M. J. (2020).  From NP-Completeness to DP-Completeness: A Membrane Computing Perspective. Complexity. 2020, 10.
2019
Cámpora Pérez, D. H., Neufeld N., & Riscos-Núñez A. (2019).  A Fast Local Algorithm for Track Reconstruction on Parallel Architectures. 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Casauay, L. J., Macababayao I. C., Cabarle F. G., de la Cruz R. T., Adorna H. N., Zeng X., et al. (2019).  A Framework for Evolving Spiking Neural Systems. The 8th Asian Conference on Membrane Computing (ACMC2019).
Moredo, C. A., Supelana R. C., Cailipan D. P., Cabarle F. G., de la Cruz R. T., Adorna H. N., et al. (2019).  A Framework for Evolving Spiking Neural P Systems with Rules on Synapses. The 8th Asian Conference on Membrane Computing (ACMC2019).
2018
Orellana-Martín, D., Valencia-Cabrera L., & Pérez-Jiménez M. J. (2018).  The factorization problem: A new approach through membrane systems. Workshop on Membrane Computing, satellite workshop of 17th International Conference on Unconventional Computation and Natural Computation (UCNC 2018).
Peng, H., Wang J., Ming J., Shi P., Pérez-Jiménez M. J., Yu W., et al. (2018).  Fault diagnosis of power systems using intuitionistic fuzzy spiking neural P systems. IEEE Transactions on Smart Grid.
Valencia-Cabrera, L., Orellana-Martín D., Martínez-del-Amor M. A., Riscos-Núñez A., & Pérez-Jiménez M. J. (2018).  From distribution to replication in cooperative systems with active membranes: A frontier of the efficiency. Theoretical Computer Science. 736, 15-24.
2017
Valencia-Cabrera, L., Orellana-Martín D., Martínez-del-Amor M. A., & Pérez-Jiménez M. J. (2017).  From Super-cells to Robotic Swarms: Two Decades of Evolution in the Simulation of P Systems. Bulletin of the International Membrane Computing Society. 4, 65-88.
Wang, T., Wang J., Fan Z., Wei X., Zang T., Pérez-Jiménez M. J., et al. (2017).  Fault diagnosis for multi-energy flows of energy internet: Framework and prospect. 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2). 1-5.
Peng, H., Wang J., Shi P., Pérez-Jiménez M. J., & Riscos-Núñez A. (2017).  Fault diagnosis of power systems using fuzzy tissue-like P systems. Integrated Computer-Aided Engineering. vol. 24, no. 4, 401-411.
Pérez-Jiménez, M. J., Graciani C., Orellana-Martín D., Riscos-Núñez A., Romero-Jiménez Á., & Valencia-Cabrera L. (2017).  Fuzzy Reasoning Spiking Neural P systems revisited: A formalization. Theoretical Computer Science. 701, 216-225.
2016
Wang, J., Peng H., Tu M., Pérez-Jiménez M. J., & Shi P. (2016).  A Fault Diagnosis Method of Power Systems Based on an Improved Adaptive Fuzzy Spiking Neural P Systems and PSO Algorithms. Signal Processing. 25, 320-327. Abstract
2015
Wang, T., Zeng S., Zhang G., Pérez-Jiménez M. J., & Wang J. (2015).  Fault Section Estimation of Power Systems with Optimization Spiking Neural P Systems. Workshop on Membrane Computing 2015 (WMC2015), Satellite workshop of UCNC2015. 117-127.
Wang, T., Zhang G., Zhao J., He Z., Wang J., & Pérez-Jiménez M. J. (2015).  Fault diagnosis of electric power systems based on fuzzy reasoning spiking neural P systems. IEEE Transactions on Power Systems. 30(3), 1182-1194. Abstract
Wang, T., Zhang G., & Pérez-Jiménez M. J. (2015).  Fuzzy Membrane Computing: Theory and Applications. International Journal of Computers, Communications and Control. 10(6), 904-935. Abstract
2014
Wang, T., Zhang G., & Pérez-Jiménez M. J. (2014).  Fault Diagnosis Models for Electric Locomotive Systems Based on Fuzzy Reasoning Spiking Neural P Systems. 15th Conference on Membrane Computing, pre-proceedings. 361-374.
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2014).  The framework of P systems applied to solve optimal watermarking problem. Signal Processing. 101, 256-265.
2013
Gheorghe, M., Paun G., & Pérez-Jiménez M. J. (2013).  Foreword. Special Issue: Membrane Computing. International Journal of Unconventional Computing. 9(5-6), 347-349.
Peng, H., Wang J., Pérez-Jiménez M. J., Wang H., Shao J., & Wang T. (2013).  Fuzzy reasoning spiking neural P system for fault diagnosis. Information Sciences. 235, 106–116. Abstract
Freund, R., Pérez-Hurtado I., Riscos-Núñez A., & Verlan S. (2013).  A formalization of membrane systems with dynamically evolving structures. International Journal of Computer Mathematics. 90(4), 801-815. Abstract
2012
Freund, R., Pérez-Hurtado I., Riscos-Núñez A., & Verlan S. (2012).  A formal framework for P systems with dynamic structure. 13th International Conference on Membrane Computing (CMC13). 199-210.
Freund, R., Pérez-Hurtado I., Riscos-Núñez A., & Verlan S. (2012).  A Formal Framework for P Systems with Dynamic Structure. Tenth Brainstorming Week on Membrane Computing. I, 111-122. Abstract
Gheorghe, M., Paun G., & Pérez-Jiménez M. J. (2012).  Frontiers of Membrane Computing: Open problems and research topics. Tenth Brainstorming Week on Membrane Computing. I, 171-250. 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)