You can download a BibTeX file with all my citable publications here.
Journals
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2024)
A Formal Concept Analysis approach to hierarchical description of malware threats.
Forensic Science International: Digital Investigation vol. 50 , pages 301797..
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2024)
Analysis of Fuzzy Vector Spaces as an Algebraic Framework for Flag Codes.
Mathematics vol. 12 (3), article number 498..
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2023)
Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit.
Axioms, 12(12), 1117.
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2023)
Connecting concept lattices with bonds induced by external information.
Information Sciences, vol. 648, november 2023, article 119498.
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2023)
Fuzzy Algebras of Concepts.
Axioms, 12(4), 324.
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2023)
Lexicon-based sentiment analysis in texts using Formal Concept Analysis.
International Journal of Approximate Reasoning, vol. 155, pp 104-112.
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2022)
Detection of unfavourable urban areas with higher temperatures and lack of green spaces using satellite imagery in sixteen Spanish cities.
Urban Forestry & Urban Greening, vol. 78, 127783.
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2022)
fcaR, Formal Concept Analysis with R.
The R Journal.
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2022)
Minimal Generators from Positive and Negative Attributes: Analysing the Knowledge Space of a Mathematics Course.
International Journal of Computational Intelligence Systems, 15:58.
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2022)
Simplifying Implications with Positive and Negative Attributes: A Logic-Based Approach.
Mathematics, 10(4) 607.
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2020)
A conversational recommender system for diagnosis using fuzzy rules.
Expert Systems with Applications, volume 154, 2020.
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2018)
Energy-aware acceleration on GPUs: Findings on a bioinformatics benchmark.
Sustainable Computing: Informatics and Systems vol. 20, pp. 88 -- 101.
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2010)
A New Multivalued Neural Network for Isomorphism Identification of Kinematic Chains.
Journal of Computing and Information Science in Engineering 10(1) .
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2009)
Probabilistic PCA self-organizing maps.
IEEE Transactions on Neural Networks vol 20 (9), 1474-1489.
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2007)
Improving neural networks for mechanism kinematic chain isomorphism identification.
Neural Processing Letters vol 26 (2), 133-143.
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2007)
Stochastic multivalued network for optimization. Application to the graph MaxCut problem.
WSEAS Transactions on Mathematics, (6), 3, pp. 500-505.
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2004)
A Pedagogical Simulation of Maxwell's Demon.
Journal of Chemical Education, 81(11), pp. 1679.
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Conference papers
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2024)
Inheritance of completeness between systems of strong and weak implications.
European Symposium on Computational Intelligence and Mathematics, ESCIM, 2024.
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2024)
Close-by-One strategy for computing the fuzzy concept lattice.
Fuzzy Sets Theory and Applications, FSTA, 2024.
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2024)
An FCA-based approach to RDF graphs.
Fuzzy Sets Theory and Applications, FSTA, 2024.
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2023)
Aggregation Functions and Extent Structure Preservation in Formal Concept Analysis.
International Conference on Conceptual Structures, LNCS 14133, pp. 28--35,.
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2022)
Knowledge Discovery in Malware Datasets using Formal Concept Analysis.
14th European Symposium on Computational Intelligence and Mathematics.
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2022)
Computing the Mixed Concept Lattice.
International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems.
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2022)
Mining Fuzzy Concept Lattices.
the 22nd International Conference on Computational and Mathematical Methods in Science and Engineering 2022.
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2022)
fcaR, Spreading FCA to the Data Science World.
Workshop on Existing Tools and Applications for Formal Context Analysis 2022.
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2022)
Revisiting Algorithms for Fuzzy Concept Lattices.
the 16th International Conference on Concept Lattices and Applications 2022.
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2022)
Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders.
9th International Work-Conference on the Interplay Between Natural and Artificial Computation.
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2021)
Rician noise estimation for 3D Magnetic Resonance Images based on Benford's Law.
24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021.
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2021)
Topic Modelling in Social Networks with Formal Concept Analysis.
International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE) 2021.
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2021)
Using Logic to Determine Key Items in Math Education.
IADIS International Conference e-Learning 2021 (part of MCCSIS 2021).
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2021)
Clustering and identification of core implications.
International Conference on Formal Concept Analysis (ICFCA) 2021.
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2021)
How to provide light to COVID data by means of FCA.
RealDataFCA Workshop, jointly with International Conference on Formal Concept Analysis (ICFCA) 2021.
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2020)
Using Formal Concept Analysis to Explore Hidden Knowledge in the Assessment of a Math Course.
IADIS International Conference e-Learning 2020 (part of MCCSIS 2020).
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2019)
Recommendations in CDSS using Fuzzy Formal Concept Analysis.
International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE) 2019.
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2013)
Predictive and Populational Model for Alzheimer's Disease Using Structural Neuroimaging.
XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013.
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2010)
Improving Moodle with WIRIS and M-QIT.
Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 4.
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2009)
Hierarchical Graphs for Data Clustering.
International Work-conference on Artificial Neural Networks (IWANN) pp 432-439.
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2009)
Shortest Common Superstring Problem with Discrete Neural Networks.
International Conference on Adaptive and Natural Computing Algorithms 2009, pp 62 – 71.
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2009)
Growing Competitive Network for Tracking Objects in Video Sequences.
International Conference on Adaptive and Natural Computing Algorithms 2009, pp 109 – 118.
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2008)
Video Object Segmentation with Multivalued Neural Networks.
Eighth International Conference on Hybrid Intelligent Systems (HIS) 2008: 613-618.
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2008)
Drawing Graphs in Parallel Lines with Artificial Neural Networks.
Eighth International Conference on Hybrid Intelligent Systems (HIS) 2008: 667-671.
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2008)
A generalization of the Hopfield model for the graph isomorphism problem.
Computing and Computational Techniques in Sciences 2008.
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2008)
Adjust of Contradictory Information by a Fuzzy Method.
Proceedings of the 2008 International Conference on Computational and Mathematical Methods in Science and Engineering.
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2008)
Fnova: Fermat and joomla fusion.
Proceedings of the IASTED International Conference on Internet and Multimedia Systems and Applications and Visual Communications, pp. 15-20.
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2008)
Integration Of Moodle Quizzes.
{IADIS} International Conference e-Learning 2008, Amsterdam, The Netherlands, July 22-25, 2008. Proceedings, pp. 45–52.
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2008)
A Dipolar Competitive Neural Network for Video Segmentation.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (5290 LNAI), pp. 103-112.
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2008)
A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (5163), PART 1, pp. 877–886.
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2008)
Robust nonparametric probability density estimation by soft clustering.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (5163 LNCS), PART 1, pp. 155-164.
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2008)
A Novel Competitive Network Approach to Object Tracking.
Proceedings of the 2008 UK Workshop on Computational Intelligence.
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2007)
A Multivalued Neural Network for the Degree-Constrained Minimum Spanning Tree Problem.
Congreso de la Asociación Española para la Inteligencia Artificial 2007.
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2007)
HECACEJ: B-Learning Tool for Static Content Creation in Joomla!.
Workshop on Blended Learning 2007.
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2007)
Red Multivaluada Estocástica para Optimización. Aplicación al Problema del MaxCut.
Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados 2007.
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2007)
K-pages graph drawing with multivalued neural networks.
Artificial Neural Networks - {ICANN} 2007, 17th International Conference, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (4669 LNCS), PART 2, pp. 816-825.
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2007)
Soft Clustering for Nonparametric Probability Density Function Estimation.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (4668 LNCS), PART 1, pp. 707-716.
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2007)
A Study into the Improvement of Binary Hopfield Networks for Map Coloring.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (4432 LNCS), PART 2, pp. 98-106.
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2007)
Improved Production of Competitive Learning Rules with an Additional Term for Vector Quantization.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (4431), PART 1, pp. 461–469.
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2007)
Image Compression with Competitive Networks and Pre-fixed Prototypes.
IFIP International Federation for Information Processing, (247), pp. 339–346.
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2007)
Automatic Model Selection for Probabilistic {PCA}.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (4507 LNCS), pp. 127-134.
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2007)
Self-organization of probabilistic PCA models.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (4507 LNCS), pp. 211-218.
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2007)
Two pages graph layout via recurrent multivalued neural networks.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (4507 LNCS), pp. 194-202.
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2007)
Theoretical Study on the Capacity of Associative Memory with Multiple Reference Points.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (4527), PART 1, pp. 292–302.
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2007)
Stochastic functional annealing as optimization technique: Application to the traveling salesman problem with recurrent networks.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (4667 LNAI), pp. 397-411.
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2006)
Stochastic multivalued network for optimization. Application to the graph MaxCut problem.
International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics - Proceedings, (1), pp. 111-116.
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2006)
Image Compression by Vector Quantization with Recurrent Discrete Networks.
Artificial Neural Networks - (ICANN) 2006, 16th International Conference, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (4132), pp. 595–605.
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2006)
Local selection of model parameters in probability density function estimation.
Artificial Neural Networks - (ICANN) 2006, 16th International Conference, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (4132 LNCS - II), pp. 292-301.
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2006)
Development of a virtual learning community for the subject Numerical Methods under Moodle.
Current Developments in Technology-Assisted Education 2006.
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2006)
Enhanced maxcut clustering with multivalued neural networks and functional annealing.
ESANN 2006 Proceedings - 14th European Symposium on Artificial Neural Networks, pp. 25–30.
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2006)
Global-local learning strategies in probabilistic principal components analysis.
Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2006, pp. 46-51.
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2005)
Iterative Learning Reinforcement for Unsupervised Clustering with Discrete Recurrent Networks.
XI Conferencia de la Asociación Española para la Inteligencia Artificial 2005
.
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2005)
Neural Formulation of Functional Annealing and Application to Traveling Salesman Problem.
XI Conferencia de la Asociación Española para la Inteligencia Artificial 2005.
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2005)
Hebbian Iterative Method for Unsupervised Clustering with Automatic Detection of the Number of Clusters with Discrete Recurrent Networks.
11th Conference of the Spanish Association for Artificial Intelligence (CAEPIA) 2005, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (4177), pp. 241–250.
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2005)
Hopfield Network as Associative Memory with Multiple Reference Points.
International Enformatika Conference, IEC'05, August 26-28, 2005, Prague, Czech Republic, , pp. 62–67.
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2005)
Aplicación neuronal del enfriamiento funcional discreto al problema del viajante.
Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados 2005.
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2005)
Memoria auto-asociativa y clasificación con redes neuronales recurrentes.
Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados 2005.
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2005)
Graph Partitioning via Recurrent Multivalued Neural Networks.
International Work-Conference on Artificial Neural Networks (IWANN) 2005, Lecture Notes in Computer Science, (3512), pp. 1149–1156.
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2004)
Matrix Bandwith Minimization: A Neural Approach.
International Congress of Computational Methods in Science and Engineering 2004.
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2004)
Multivalued Neural Network for Graph Maxcut Problem.
International Congress of Computational Methods in Science and Engineering 2004.
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Books and book sections
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2023)
Formal Concept Analysis.
17th International Conference, ICFCA 2023, Kassel, Germany, July 17-21, 2023, Proceedings.
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2022)
Super-Resolution of 3D Magnetic Resonance Images of the Brain.
Artificial Intelligence in Healthcare and Medicine, pp. 157-176.
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2021)
Formal methods in FCA and Big Data.
Complex Data Analytics with Formal Concept Analysis, pp. 201 -- 224.
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2009)
MREM, Discrete Recurrent Network for Optimization.
Encyclopedia of Artificial Intelligence 2009: 1112-1120.
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2008)
An approach to artificial concept learning based on human concept learning by using artificial neural networks.
Advancing Artificial Intelligence Through Biological Process Applications, pp. 130-145.
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