A Topological Study of the Upward Refinement Operators in ILP. - Miguel Angel Gutiérrez-Naranjo; José A. Alonso-Jiménez; Joaquín Borrego-Díaz (ILP Work-in-progress reports, 2000)

A Quasi-Metric for Machine Learning. - Miguel Angel Gutiérrez-Naranjo; José A. Alonso-Jiménez; Joaquín Borrego-Díaz (IBERAMIA, 2002)

Generalizing Programs vis Subsumption. - Miguel Angel Gutiérrez-Naranjo; José A. Alonso-Jiménez; Joaquín Borrego-Díaz (EUROCAST, 2003)

Towards a Practical Argumentative Reasoning with Qualitative Spatial Databases. - José A. Alonso-Jiménez; Joaquín Borrego-Díaz; Antonia M. Chávez-González; Miguel Angel Gutiérrez-Naranjo; Jorge D. Navarro-Marín (IEA/AIE, 2003)

Implementing in Prolog an Effective Cellular Solution to the Knapsack Problem. - Andrés Cordón-Franco; Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez; Fernando Sancho-Caparrini (Workshop on Membrane Computing, 2003)

Exploring Computation Trees Associated with P Systems. - Andrés Cordón-Franco; Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (Workshop on Membrane Computing, 2004)

On Descriptive Complexity of P Systems. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (Workshop on Membrane Computing, 2004)

Deductive databases and P systems. - Miguel Angel Gutiérrez-Naranjo; Vladimir Rogojin (Comput. Sci. J. Moldova, 2004)

Towards a Programming Language in Cellular Computing. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (WoLLIC, 2004)

A Prolog Simulator for Deterministic P Systems with Active Membranes. - Andrés Cordón-Franco; Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Fernando Sancho-Caparrini (New Gener. Comput., 2004)

Multidimensional Descriptional Complexity of P Systems. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (DCFS, 2005)

A Linear Solution of Subset Sum Problem by Using Membrane Creation. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Francisco José Romero-Campero (IWINAC (1), 2005)

A Linear Solution for QSAT with Membrane Creation. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Francisco José Romero-Campero (Workshop on Membrane Computing, 2005)

On the Power of Dissolution in P Systems with Active Membranes. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez; Francisco José Romero-Campero (Workshop on Membrane Computing, 2005)

Characterizing Tractability with Membrane Creation. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez; Francisco José Romero-Campero (SYNASC, 2005)

P Systems with Active Membranes, Without Polarizations and Without Dissolution: A Characterization of P. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez; Francisco José Romero-Campero (UC, 2005)

A fast P system for finding a balanced 2-partition. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (Soft Comput., 2005)

A Case Study in (Mem)Brane Computation: Generating Squares of Natural Numbers. - Nadia Busi; Miguel Angel Gutiérrez-Naranjo (Workshop on Membrane Computing, 2006)

Graphical Modeling of Higher Plants Using P Systems. - Álvaro Romero Jiménez; Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez (Workshop on Membrane Computing, 2006)

Available Membrane Computing Software. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (Applications of Membrane Computing, 2006)

Some Notes on (Mem)Brane Computation. - Nadia Busi; Miguel Angel Gutiérrez-Naranjo (PPSN, 2006)

A Linear-time Tissue P System Based Solution for the 3-coloring Problem. - Daniel Díaz-Pernil; Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (MeCBIC@ICALP, 2006)

Computational efficiency of dissolution rules in membrane systems. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez; Francisco José Romero-Campero (Int. J. Comput. Math., 2006)

P systems with input in binary form. - Alberto Leporati; Claudio Zandron; Miguel Angel Gutiérrez-Naranjo (Int. J. Found. Comput. Sci., 2006)

Characterizing Tractability by Cell-Like Membrane Systems. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez; Francisco José Romero-Campero; Álvaro Romero Jiménez (Formal Models, Languages and Applications, 2007)

Solving Subset Sum in Linear Time by Using Tissue P Systems with Cell Division. - Daniel Díaz-Pernil; Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (IWINAC (1), 2007)

A Logarithmic Bound for Solving Subset Sum with P Systems. - Daniel Díaz-Pernil; Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (Workshop on Membrane Computing, 2007)

Multi-dimensional Descriptional Complexity of P Systems. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (J. Autom. Lang. Comb., 2007)

A uniform solution to SAT using membrane creation. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Francisco José Romero-Campero (Theor. Comput. Sci., 2007)

On the degree of parallelism in membrane systems. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (Theor. Comput. Sci., 2007)

Hebbian Learning from Spiking Neural P Systems View. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez (Workshop on Membrane Computing, 2008)

Solving SUBSET SUM by Spiking Neural P Systems with Pre-computed Resources. - Alberto Leporati; Miguel Angel Gutiérrez-Naranjo (Fundam. Informaticae, 2008)

A software tool for verification of Spiking Neural P Systems. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Daniel Ramírez-Martínez (Nat. Comput., 2008)

A uniform family of tissue P systems with cell division solving 3-COL in a linear time. - Daniel Díaz-Pernil; Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (Theor. Comput. Sci., 2008)

Solving the Independent Set Problem by Using Tissue-Like P Systems with Cell Division. - Daniel Díaz-Pernil; Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (IWINAC (1), 2009)

Searching Previous Configurations in Membrane Computing. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez (Workshop on Membrane Computing, 2009)

Descriptional Complexity of Tissue-Like P Systems with Cell Division. - Daniel Díaz-Pernil; Pilar Gallego-Ortiz; Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (UC, 2009)

First Steps Towards a CPU Made of Spiking Neural P Systems. - Miguel Angel Gutiérrez-Naranjo; Alberto Leporati (Int. J. Comput. Commun. Control, 2009)

On the efficiency of cell-like and tissue-like recognizing membrane systems. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez; Francisco José Romero-Campero (Int. J. Intell. Syst., 2009)

An Approach to Ballistic Deposition Based on Membrane Computing. - Carmen Graciani Díaz; Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez (Int. J. Unconv. Comput., 2009)

Efficient computation in rational-valued P systems. - Nadia Busi; Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez (Math. Struct. Comput. Sci., 2009)

Solving sudoku with Membrane Computing. - Daniel Díaz-Pernil; Carlos M. Fernández-Márquez; Manuel García-Quismondo; Miguel Angel Gutiérrez-Naranjo; Miguel A. Martínez-del-Amor (BIC-TA, 2010)

A bio-inspired software for segmenting digital images. - Daniel Díaz-Pernil; Helena Molina-Abril; Pedro Real 001; Miguel Angel Gutiérrez-Naranjo (BIC-TA, 2010)

Depth-First Search with P Systems. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez (Int. Conf. on Membrane Computing, 2010)

A Parallel Implementation of the Thresholding Problem by Using Tissue-Like P Systems. - Francisco Peña-Cantillana; Daniel Díaz-Pernil; Ainhoa Berciano; Miguel Angel Gutiérrez-Naranjo (CAIP (2), 2011)

On a Partial Affirmative Answer for a Păun's Conjecture. - Ignacio Pérez-Hurtado; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez; Miguel Angel Gutiérrez-Naranjo; Miquel Rius-Font (Int. J. Found. Comput. Sci., 2011)

Local Search with P Systems: A Case Study. - Miguel Angel Gutiérrez-Naranjo; Mario J. Pérez-Jiménez (Int. J. Nat. Comput. Res., 2011)

Forward and Backward Chaining with P Systems. - Sergiu Ivanov 001; Artiom Alhazov; Vladimir Rogojin; Miguel Angel Gutiérrez-Naranjo (Int. J. Nat. Comput. Res., 2011)

Implementation on CUDA of the Smoothing Problem with Tissue-Like P Systems. - Francisco Peña-Cantillana; Daniel Díaz-Pernil; Hepzibah A. Christinal; Miguel Angel Gutiérrez-Naranjo (Int. J. Nat. Comput. Res., 2011)

A software tool for generating graphics by means of P systems. - Elena Rivero-Gil; Miguel Angel Gutiérrez-Naranjo; Álvaro Romero Jiménez; Agustin Riscos-Núñez (Nat. Comput., 2011)

Parallel Skeletonizing of Digital Images by Using Cellular Automata. - Francisco Peña-Cantillana; Ainhoa Berciano; Daniel Díaz-Pernil; Miguel Angel Gutiérrez-Naranjo (CTIC, 2012)

Using Membrane Computing for Effective Homology. - Daniel Díaz-Pernil; Hepzibah A. Christinal; Miguel Angel Gutiérrez-Naranjo; Pedro Real 001 (Appl. Algebra Eng. Commun. Comput., 2012)

Designing a new software tool for Digital Imagery based on P systems. - Daniel Díaz-Pernil; Miguel Angel Gutiérrez-Naranjo; Helena Molina-Abril; Pedro Real 001 (Nat. Comput., 2012)

Searching Partially Bounded Regions with P Systems. - Hepzibah A. Christinal; Ainhoa Berciano; Daniel Díaz-Pernil; Miguel Angel Gutiérrez-Naranjo (SocProS (1), 2013)

A parallel algorithm for skeletonizing images by using spiking neural P systems. - Daniel Díaz-Pernil; Francisco Peña-Cantillana; Miguel Angel Gutiérrez-Naranjo (Neurocomputing, 2013)

A Rete-based Algorithm for Rule Selection in P Systems. - Carmen Graciani Díaz; Miguel Angel Gutiérrez-Naranjo; Ignacio Pérez-Hurtado; Agustin Riscos-Núñez; Álvaro Romero Jiménez (Int. J. Unconv. Comput., 2013)

Segmenting images with gradient-based edge detection using Membrane Computing. - Daniel Díaz-Pernil; Ainhoa Berciano; Francisco Peña-Cantillana; Miguel Angel Gutiérrez-Naranjo (Pattern Recognit. Lett., 2013)

Antimatter as a Frontier of Tractability in Membrane Computing. - Daniel Díaz-Pernil; Francisco Peña-Cantillana; Artiom Alhazov; Rudolf Freund; Miguel Angel Gutiérrez-Naranjo (Fundam. Informaticae, 2014)

Fully automatized parallel segmentation of the optic disc in retinal fundus images. - Daniel Díaz-Pernil; Irene Fondón; Francisco Peña-Cantillana; Miguel Angel Gutiérrez-Naranjo (Pattern Recognit. Lett., 2016)

Solving the Bin-Packing Problem by Means of Tissue P System with 2-Division. - Hepzibah A. Christinal; Rose Rani John; D. Abraham Chandy; Miguel Angel Gutiérrez-Naranjo (UCNC, 2017)

Bio-inspired parallel computing of representative geometrical objects of holes of binary 2D-images. - Daniel Díaz-Pernil; Ainhoa Berciano; Francisco Peña-Cantillana; Miguel Angel Gutiérrez-Naranjo (Int. J. Bio Inspired Comput., 2017)

Representative datasets for neural networks. - Rocío González-Díaz; Eduardo Paluzo-Hidalgo; Miguel Angel Gutiérrez-Naranjo (Electron. Notes Discret. Math., 2018)

Semantics of deductive databases with spiking neural P systems. - Daniel Díaz-Pernil; Miguel Angel Gutiérrez-Naranjo (Neurocomputing, 2018)

Solving the 3-COL problem by using tissue P systems without environment and proteins on cells. - Daniel Díaz-Pernil; Hepzibah A. Christinal; Miguel Angel Gutiérrez-Naranjo (Inf. Sci., 2018)

Representative Datasets: The Perceptron Case. - Rocío González-Díaz; Miguel Angel Gutiérrez-Naranjo; Eduardo Paluzo-Hidalgo (CoRR, 2019)

Two-hidden-layer Feedforward Neural Networks are Universal Approximators: A Constructive Approach. - Rocío González-Díaz; Miguel Angel Gutiérrez-Naranjo; Eduardo Paluzo-Hidalgo (CoRR, 2019)

Towards a Philological Metric through a Topological Data Analysis Approach. - Eduardo Paluzo-Hidalgo; Rocío González-Díaz; Miguel Angel Gutiérrez-Naranjo (CoRR, 2019)

Membrane computing and image processing: a short survey. - Daniel Díaz-Pernil; Miguel Angel Gutiérrez-Naranjo; Hong Peng 001 (J. Membr. Comput., 2019)

PBIL for Optimizing Hyperparameters of Convolutional Neural Networks and STL Decomposition. - Roberto Andrés Vasco Carofilis; Miguel Angel Gutiérrez-Naranjo; Miguel Cárdenas-Montes (HAIS, 2020)

Two-hidden-layer feed-forward networks are universal approximators: A constructive approach. - Eduardo Paluzo-Hidalgo; Rocío González-Díaz; Miguel Angel Gutiérrez-Naranjo (Neural Networks, 2020)

Logic Negation with Spiking Neural P Systems. - Daniel Rodríguez-Chavarría; Miguel Angel Gutiérrez-Naranjo; Joaquín Borrego-Díaz (Neural Process. Lett., 2020)

Optimizing the Simplicial-Map Neural Network Architecture. - Eduardo Paluzo-Hidalgo; Rocío González-Díaz; Miguel Angel Gutiérrez-Naranjo; Jónathan Heras (J. Imaging, 2021)

Dynamic Price of Parking Service based on Deep Learning. - Alejandro Luque-Cerpa; Miguel Angel Gutiérrez-Naranjo; Miguel Cárdenas-Montes (CoRR, 2022)

Evolutionary game theory in a cell: A membrane computing approach. - Pedro García-Victoria; Matteo Cavaliere; Miguel Angel Gutiérrez-Naranjo; Miguel Cárdenas-Montes (Inf. Sci., 2022)

Topology-based representative datasets to reduce neural network training resources. - Rocío González-Díaz; Miguel Angel Gutiérrez-Naranjo; Eduardo Paluzo-Hidalgo (Neural Comput. Appl., 2022)

The Metric-aware Kernel-width Choice for LIME. - Aurelio Barrera-Vicent; Eduardo Paluzo-Hidalgo; Miguel Angel Gutiérrez-Naranjo (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2023)

Explainability in Simplicial Map Neural Networks. - Eduardo Paluzo-Hidalgo; Miguel Angel Gutiérrez-Naranjo; Rocío González-Díaz (CoRR, 2023)

Deep Learning Applied to Intracranial Hemorrhage Detection. - Luis Cortés-Ferre; Miguel Angel Gutiérrez-Naranjo; Juan José Egea-Guerrero; Soledad Pérez-Sánchez; Marcin Balcerzyk (J. Imaging, 2023)

PBIL for optimizing inception module in convolutional neural networks. - Pedro García-Victoria; Miguel Angel Gutiérrez-Naranjo; Miguel Cárdenas-Montes; Roberto Andrés Vasco Carofilis (Log. J. IGPL, 2023)

SIMAP: A simplicial-map layer for neural networks. - Rocío González-Díaz; Miguel Angel Gutiérrez-Naranjo; Eduardo Paluzo-Hidalgo (CoRR, 2024)

An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning. - Víctor Toscano-Durán; Javier Perera-Lago; Eduardo Paluzo-Hidalgo; Rocío González-Díaz; Miguel Angel Gutiérrez-Naranjo; Matteo Rucco (CoRR, 2024)

Trainable and explainable simplicial map neural networks. - Eduardo Paluzo-Hidalgo; Rocío González-Díaz; Miguel Angel Gutiérrez-Naranjo (Inf. Sci., 2024)

An Application of Membrane Computing to Humanitarian Relief via Generalized Nash Equilibrium. - Alejandro Luque-Cerpa; David Orellana-Martín; Miguel Angel Gutiérrez-Naranjo (CoRR, 2025)

A membrane computing approach to the generalized Nash equilibrium. - Alejandro Luque-Cerpa; Miguel Angel Gutiérrez-Naranjo (Nat. Comput., 2025)

Barycentric Neural Networks and Length-Weighted Persistent Entropy Loss: A Green Geometric and Topological Framework for Function Approximation. - Víctor Toscano-Durán; Rocío González-Díaz; Miguel Angel Gutiérrez-Naranjo (CoRR, 2025)