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Domingo López-Rodríguez
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2020 – today
- 2024
- [j12]Manuel Ojeda-Hernández
, Domingo López-Rodríguez, Ángel Mora:
A Formal Concept Analysis approach to hierarchical description of malware threats. Forensic Sci. Int. Digit. Investig. 50: 301797 (2024) - [c37]Domingo López-Rodríguez, Manuel Ojeda-Hernández:
Rearrangement of Fuzzy Formal Contexts for Reducing Cost of Algorithms. CONCEPTS 2024: 113-122 - [c36]Manuel Ojeda-Hernández, Domingo López-Rodríguez:
Enhancing Performance of FCA Algorithms via Rearrangement of Formal Contexts. FUZZ 2024: 1-6 - 2023
- [j11]Manuel Ojeda-Hernández
Fuzzy Algebras of Concepts. Axioms 12(4): 324 (2023) - [j10]Rosa Maza-Quiroga
Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit. Axioms 12(12): 1117 (2023) - [j9]Manuel Ojeda-Hernández
Lexicon-based sentiment analysis in texts using Formal Concept Analysis. Int. J. Approx. Reason. 155: 104-112 (2023) - [j8]Ondrej Krídlo, Domingo López-Rodríguez
Connecting concept lattices with bonds induced by external information. Inf. Sci. 648: 119498 (2023) - [c35]Carlos Bejines
Aggregation Functions and Extent Structure Preservation in Formal Concept Analysis. ICCS 2023: 28-35 - [e1]Dominik Dürrschnabel
Formal Concept Analysis - 17th International Conference, ICFCA 2023, Kassel, Germany, July 17-21, 2023, Proceedings. Lecture Notes in Computer Science 13934, Springer 2023, ISBN 978-3-031-35948-4 [contents] - 2022
- [j7]Manuel Ojeda-Hernández
Minimal Generators from Positive and Negative Attributes: Analysing the Knowledge Space of a Mathematics Course. Int. J. Comput. Intell. Syst. 15(1): 58 (2022) - [j6]Pablo Cordero, Manuel Enciso, Domingo López-Rodríguez
fcaR, Formal Concept Analysis with R. R J. 14(1): 341-361 (2022) - [c34]Domingo López-Rodríguez, Ángel Mora, Manuel Ojeda-Hernández:
Revisiting Algorithms for Fuzzy Concept Lattices. CLA 2022: 105-116 - [c33]Pablo Cordero, Manuel Enciso, Domingo López-Rodríguez, Ángel Mora:
fcaR, Spreading FCA to the Data Science World. CLA 2022: 199-205 - [c32]Francisco Pérez-Gámez
Computing the Mixed Concept Lattice. IPMU (1) 2022: 87-99 - [c31]Clara Jiménez-Valverde, Rosa Maza-Quiroga
Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders. IWINAC (1) 2022: 213-222 - [p1]Domingo López-Rodríguez
Formal Methods in FCA and Big Data. Complex Data Analytics with Formal Concept Analysis 2022: 201-224 - 2021
- [c30]Domingo López-Rodríguez, Pablo Cordero, Manuel Enciso, Ángel Mora:
How to provide light to COVID data by means of FCA. RealDataFCA@ICFCA 2021: 5-12 - [c29]Domingo López-Rodríguez
Clustering and Identification of Core Implications. ICFCA 2021: 138-154 - [c28]Rosa Maza-Quiroga
Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford's Law. MICCAI (6) 2021: 340-349 - 2020
- [j5]Pablo Cordero, Manuel Enciso, Domingo López-Rodríguez
A conversational recommender system for diagnosis using fuzzy rules. Expert Syst. Appl. 154: 113449 (2020)
2010 – 2019
- 2018
- [j4]Jesús Pérez, Andrés Rodríguez
Energy-aware acceleration on GPUs: Findings on a bioinformatics benchmark. Sustain. Comput. Informatics Syst. 20: 88-101 (2018) - 2010
- [j3]Gloria Galán Marín
A New Multivalued Neural Network for Isomorphism Identification of Kinematic Chains. J. Comput. Inf. Sci. Eng. 10(1) (2010) - [c27]Ángel Mora, Enrique Mérida Casermeiro, Domingo López-Rodríguez:
Improving Moodle with WIRIS and M-QIT. ICEIS (4) 2010: 75-80
2000 – 2009
- 2009
- [j2]Ezequiel López-Rubio
Probabilistic PCA Self-Organizing Maps. IEEE Trans. Neural Networks 20(9): 1474-1489 (2009) - [c26]Domingo López-Rodríguez
Shortest Common Superstring Problem with Discrete Neural Networks. ICANNGA 2009: 62-71 - [c25]Juan Miguel Ortiz-de-Lazcano-Lobato
Growing Competitive Network for Tracking Objects in Video Sequences. ICANNGA 2009: 109-118 - [c24]Esteban J. Palomo
Hierarchical Graphs for Data Clustering. IWANN (1) 2009: 432-439 - [r1]Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato:
MREM, Discrete Recurrent Network for Optimization. Encyclopedia of Artificial Intelligence 2009: 1112-1120 - 2008
- [c23]Rafael Marcos Luque
Video Object Segmentation with Multivalued Neural Networks. HIS 2008: 613-618 - [c22]Enrique Mérida Casermeiro, Domingo López-Rodríguez
Drawing Graphs in Parallel Lines with Artificial Neural Networks. HIS 2008: 667-671 - [c21]Angel Mora-Bonilla, Enrique Mérida Casermeiro, Domingo López-Rodríguez, Luis Fernando López Anguita:
Integration Of Moodle Quizzes. e-Learning 2008: 45-52 - [c20]Rafael Marcos Luque
A Dipolar Competitive Neural Network for Video Segmentation. IBERAMIA 2008: 103-112 - [c19]Ezequiel López-Rubio
Robust Nonparametric Probability Density Estimation by Soft Clustering. ICANN (1) 2008: 155-164 - [c18]Rafael Marcos Luque Baena
A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection. ICANN (1) 2008: 877-886 - 2007
- [j1]Gloria Galán Marín
Improving Neural Networks for Mechanism Kinematic Chain Isomorphism Identification. Neural Process. Lett. 26(2): 133-143 (2007) - [c17]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez
Soft Clustering for Nonparametric Probability Density Function Estimation. ICANN (1) 2007: 707-716 - [c16]Domingo López-Rodríguez
K -Pages Graph Drawing with Multivalued Neural Networks. ICANN (2) 2007: 816-825 - [c15]Gloria Galán Marín, Enrique Mérida Casermeiro
A Study into the Improvement of Binary Hopfield Networks for Map Coloring. ICANNGA (2) 2007: 98-106 - [c14]Enrique Mérida Casermeiro
Improved Production of Competitive Learning Rules with an Additional Term for Vector Quantization. ICANNGA (1) 2007: 461-469 - [c13]Enrique Mérida Casermeiro
Image Compression with Competitive Networks and Pre-fixed Prototypes. AIAI 2007: 339-346 - [c12]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez
Automatic Model Selection for Probabilistic PCA. IWANN 2007: 127-134 - [c11]Domingo López-Rodríguez
Two Pages Graph Layout Via Recurrent Multivalued Neural Networks. IWANN 2007: 194-202 - [c10]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez
Self-organization of Probabilistic PCA Models. IWANN 2007: 211-218 - [c9]Enrique Mérida Casermeiro
Theoretical Study on the Capacity of Associative Memory with Multiple Reference Points. IWINAC (1) 2007: 292-302 - [c8]Domingo López-Rodríguez
Stochastic Functional Annealing as Optimization Technique: Application to the Traveling Salesman Problem with Recurrent Networks. KI 2007: 397-411 - 2006
- [c7]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Enrique Mérida Casermeiro, María del Carmen Vargas-González:
Global-local learning strategies in probabilistic principal components analysis. Artificial Intelligence and Soft Computing 2006: 46-51 - [c6]Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato:
Enhanced maxcut clustering with multivalued neural networks and functional annealing. ESANN 2006: 25-30 - [c5]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez
Local Selection of Model Parameters in Probability Density Function Estimation. ICANN (2) 2006: 292-301 - [c4]Domingo López-Rodríguez
Image Compression by Vector Quantization with Recurrent Discrete Networks. ICANN (2) 2006: 595-605 - 2005
- [c3]Enrique Mérida Casermeiro
Hebbian Iterative Method for Unsupervised Clustering with Automatic Detection of the Number of Clusters with Discrete Recurrent Networks. CAEPIA 2005: 241-250 - [c2]Enrique Mérida Casermeiro
Graph Partitioning via Recurrent Multivalued Neural Networks. IWANN 2005: 1149-1156 - [c1]Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato:
Hopfield Network as Associative Memory with Multiple Reference Points. IEC (Prague) 2005: 62-67
Coauthor Index
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last updated on 2024-12-10 20:48 CET by the dblp team
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