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2020 – today
- 2024
[j29]Elvira Amador-Domínguez
, Emilio Serrano, Daniel Manrique:
Neurosymbolic system profiling: A template-based approach. Knowl. Based Syst. 287: 111441 (2024)- 2023
- [j28]Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique:
GEnI: A framework for the generation of explanations and insights of knowledge graph embedding predictions. Neurocomputing 521: 199-212 (2023) - [j27]José M. Barreiro, Juan Alfonso Lara, Daniel Manrique, Peter Smith:
Towards the portability of knowledge in reinforcement learning-based systems for automatic drone navigation. PeerJ Comput. Sci. 9: e1402 (2023) - 2021
- [j26]Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique:
A hierarchical multi-agent architecture based on virtual identities to explain black-box personalization policies. Expert Syst. Appl. 186: 115731 (2021) - [j25]Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique, Javier Bajo:
A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation. Int. J. Interact. Multim. Artif. Intell. 7(2): 15 (2021) - [j24]Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique, Patrick Hohenecker, Thomas Lukasiewicz:
An ontology-based deep learning approach for triple classification with out-of-knowledge-base entities. Inf. Sci. 564: 85-102 (2021) - 2020
- [j23]Dolores Barrios Rolanía, Juan Carlos García-Ardila, Daniel Manrique:
On the Darboux transformations and sequences of p-orthogonal polynomials. Appl. Math. Comput. 382: 125337 (2020) - [j22]Pablo Ramos-Criado, Dolores Barrios Rolanía, Daniel Manrique, Emilio Serrano:
Grammatically uniform population initialization for grammar-guided genetic programming. Soft Comput. 24(15): 11265-11282 (2020)
2010 – 2019
- 2019
- [j21]Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique, Juan F. De Paz:
Prediction and Decision-Making in Intelligent Environments Supported by Knowledge Graphs, A Systematic Review. Sensors 19(8): 1774 (2019) - [c29]Elvira Amador-Domínguez, Patrick Hohenecker, Thomas Lukasiewicz, Daniel Manrique, Emilio Serrano:
An Ontology-Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities. DCAI 2019: 125-133 - [c28]Emilio Serrano, Daniel Manrique:
A Moderate Experiential Learning Approach Applied on Data Science. MIS4TEL 2019: 11-18 - 2018
- [j20]Dolores Barrios Rolanía, Guillermo Delgado Martínez, Daniel Manrique:
Multilayered neural architectures evolution for computing sequences of orthogonal polynomials. Ann. Math. Artif. Intell. 84(3-4): 161-184 (2018) - [c27]Emilio Serrano, Martin Molina, Daniel Manrique, Javier Bajo:
Challenge-Based Learning in Computational Biology and Data Science. ICTERI Workshops 2018: 725-733 - 2017
- [c26]José María Font, Daniel Manrique, Sergio Larrodera, Pablo Ramos-Criado:
Towards a hybrid neural and evolutionary heuristic approach for playing tile-matching puzzle games. CIG 2017: 76-79 - [c25]Emilio Serrano, Martin Molina, Daniel Manrique, Luis Baumela:
Experiential Learning in Data Science: From the Dataset Repository to the Platform of Experiences. Intelligent Environments (Workshops) 2017: 122-130 - 2016
- [j19]José María Font, Daniel Manrique, Pablo Ramos-Criado, David del Rio:
Partition based real-valued encoding scheme for evolutionary algorithms. Nat. Comput. 15(3): 477-492 (2016) - [c24]José María Font, Roberto Izquierdo, Daniel Manrique, Julian Togelius:
Constrained Level Generation Through Grammar-Based Evolutionary Algorithms. EvoApplications (1) 2016: 558-573 - 2015
- [j18]Dolores Barrios Rolanía, Daniel Manrique:
On the existence of Darboux transformations for banded matrices. Appl. Math. Comput. 253: 116-125 (2015) - [j17]Dolores Barrios Rolanía, José María Font, Daniel Manrique:
Bacterially inspired evolution of intelligent systems under constantly changing environments. Soft Comput. 19(4): 1071-1083 (2015) - 2014
- [c23]Fernando Alonso, José M. Font, Genoveva López Gómez, Daniel Manrique:
Study of the Evolution of the Underlying Social Network of Discussion and Generation of New Ideas Applying an Instructional and Learning Model. MIS4TEL 2014: 1-8 - 2013
- [j16]Dolores Barrios Rolanía, José María Font, Daniel Manrique:
Bacterially inspired evolving system with an application to time series prediction. Appl. Soft Comput. 13(2): 1136-1146 (2013) - [c22]José María Font, Tobias Mahlmann, Daniel Manrique, Julian Togelius:
A Card Game Description Language. EvoApplications 2013: 254-263 - [c21]José María Font, Tobias Mahlmann, Daniel Manrique, Julian Togelius:
Towards the automatic generation of card games through grammar-guided genetic programming. FDG 2013: 360-363 - 2011
- [j15]Daniel Manrique, Alfonso Rodríguez-Patón, Petr Sosík:
On the scalability of biocomputing algorithms: The case of the maximum clique problem. Theor. Comput. Sci. 412(51): 7075-7086 (2011) - [j14]Fernando Alonso, Daniel Manrique, Loïc Martínez, José M. Viñes:
How Blended Learning Reduces Underachievement in Higher Education: An Experience in Teaching Computer Sciences. IEEE Trans. Educ. 54(3): 471-478 (2011) - [c20]José María Font, Daniel Manrique, Eduardo Pascua:
Grammar-Guided Evolutionary Construction of Bayesian Networks. IWINAC (1) 2011: 60-69 - 2010
- [j13]José María Font, Daniel Manrique, Juan Rios:
Evolutionary construction and adaptation of intelligent systems. Expert Syst. Appl. 37(12): 7711-7720 (2010) - [c19]José María Font, Daniel Manrique:
Grammar-guided evolutionary automatic system for autonomously building biological oscillators. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c18]Fernando Alonso, Genoveva López Gómez, José María Font, Daniel Manrique:
Learner Satisfaction When Applying an Instructional Model in e-Learning - An Experimental Study. CSEDU (1) 2010: 141-146
2000 – 2009
- 2009
- [j12]Fernando Alonso, Daniel Manrique, José M. Viñes:
A moderate constructivist e-learning instructional model evaluated on computer specialists. Comput. Educ. 53(1): 57-65 (2009) - [c17]Jorge Couchet, José María Font, Daniel Manrique:
Rule Evolving System for Knee Lesion Prognosis from Medical Isokinetic Curves. IWINAC (2) 2009: 188-197 - [r1]Daniel Manrique, Juan Rios, Alfonso Rodríguez-Patón:
Grammar-Guided Genetic Programming. Encyclopedia of Artificial Intelligence 2009: 767-773 - 2008
- [c16]Fernando Alonso, Genoveva López Gómez, Daniel Manrique, David Pérez-Perez:
The Impact Of Applying An Instructional Model In Distance Learning: A Case Study. e-Learning 2008: 189-192 - [c15]Jorge Couchet, José María Font, Daniel Manrique:
Using Evolved Fuzzy Neural Networks for Injury Detection from Isokinetic Curves. SGAI Conf. (Applications) 2008: 225-238 - 2007
- [j11]Marc García-Arnau, Daniel Manrique, Alfonso Rodríguez-Patón, Petr Sosík:
A P system and a constructive membrane-inspired DNA algorithm for solving the Maximum Clique Problem. Biosyst. 90(3): 687-697 (2007) - [j10]Marc García-Arnau, Daniel Manrique, Juan Rios, Alfonso Rodríguez-Patón:
Initialization method for grammar-guided genetic programming. Knowl. Based Syst. 20(2): 127-133 (2007) - [j9]Jorge Couchet, Daniel Manrique, Juan Rios, Alfonso Rodríguez-Patón:
Crossover and mutation operators for grammar-guided genetic programming. Soft Comput. 11(10): 943-955 (2007) - [c14]Marc García-Arnau, Daniel Manrique, Alfonso Rodríguez-Patón, Petr Sosík:
Towards a Robust Biocomputing Solution of Intractable Problems. DNA 2007: 221-230 - [c13]Jorge Couchet, Enrique D. Ferreira, André Fonseca, Daniel Manrique:
A Novel Architecture for the Classification and Visualization of Sequential Data. ICANNGA (1) 2007: 730-738 - [c12]Marc García-Arnau, Daniel Manrique, Alfonso Rodríguez-Patón:
A Parallel DNA Algorithm Using a Microfluidic Device to Build Scheduling Grids. IWINAC (1) 2007: 193-202 - [c11]Jorge Couchet, Daniel Manrique, Luis Porras:
Grammar-Guided Neural Architecture Evolution. IWINAC (1) 2007: 437-446 - 2006
- [j8]Daniel Manrique, Juan Rios, Alfonso Rodríguez-Patón:
Evolutionary system for automatically constructing and adapting radial basis function networks. Neurocomputing 69(16-18): 2268-2283 (2006) - [c10]Alberto Carrascal, Jorge Couchet, Enrique D. Ferreira, Daniel Manrique:
Anomaly Detection using prior knowledge: application to TCP/IP traffic. IFIP AI 2006: 139-148 - [c9]Marc García-Arnau, Daniel Manrique, J. Ríos, Alfonso Rodríguez-Patón:
Initialization Method for Grammar-Guided Genetic Programming. SGAI Conf. 2006: 32-44 - 2005
- [j7]Fernando Alonso, Genoveva López Gómez, Daniel Manrique, José M. Viñes:
An instructional model for web-based e-learning education with a blended learning process approach. Br. J. Educ. Technol. 36(2): 217-235 (2005) - [j6]Lucas Ledesma, Daniel Manrique, Alfonso Rodríguez-Patón:
A tissue P system and a DNA microfluidic device for solving the shortest common superstring problem. Soft Comput. 9(9): 679-685 (2005) - [j5]Lucas Ledesma, Daniel Manrique, Alfonso Rodríguez-Patón:
A tissue P system and a DNA microfluidic device for solving the shortest common superstring problem. Soft Comput. 9(9): 691-691 (2005) - [c8]Daniel Manrique, Fernando Márquez, Juan Rios, Alfonso Rodríguez-Patón:
Grammar Based Crossover Operator in Genetic Programming. IWINAC (2) 2005: 252-261 - 2003
- [j4]Alberto Carrascal, Daniel Manrique, Juan Rios, Claudio Rossi:
Evolutionary Local Search of Fuzzy Rules through a novel Neuro-Fuzzy encoding method. Evol. Comput. 11(4): 439-461 (2003) - [j3]Dolores Barrios Rolanía, Alberto Carrascal, Daniel Manrique, Juan Rios:
Optimisation with Real-Coded Genetic Algorithms Based on Mathematical Morphology. Int. J. Comput. Math. 80(3): 275-293 (2003) - [j2]Dolores Barrios Rolanía, Alberto Carrascal, Daniel Manrique, Juan Rios:
Cooperative binary-real coded genetic algorithms for generating and adapting artificial neural networks. Neural Comput. Appl. 12(2): 49-60 (2003) - [c7]Alberto Carrascal, Daniel Manrique, Juan Rios:
Neural Networks Evolutionary Learning in Chess Game. MLMTA 2003: 148-153 - 2001
- [j1]Dolores Barrios Rolanía, Daniel Manrique, M. Rosario Plaza, Juan Rios:
An Algebraic Model for Generating and Adapting Neural Networks by Means of Optimization Methods. Ann. Math. Artif. Intell. 33(1): 93-111 (2001) - [c6]José M. Barreiro, Alberto Carrascal, Daniel Manrique, Juan Rios, Amparo Vilarrasa:
Automatic Detection of Regions of Interest in Digitized Mammograms for Computer-Aided Diagnosis. ISMDA 2001: 48-53 - 2000
- [c5]Dolores Barrios Rolanía, Daniel Manrique, Jaime Porras, Juan Rios:
Optimum binary codification for genetic design of artificial neural networks. KES 2000: 844-847 - [c4]Dolores Barrios Rolanía, Daniel Manrique, Jaime Porras, Juan Rios:
Real-Coded Genetic Algorithms Based on Mathematical Morphology. SSPR/SPR 2000: 706-715
1990 – 1999
- 1999
- [c3]Daniel Manrique, Juan Rios, Amparo Vilarrasa:
A Combined Neural Network and Mathematical Morphology Method for Computerized Detection of Microcalcifications. IEA/AIE 1999: 92-100 - [c2]Víctor Giménez-Martínez, Daniel Manrique Gamo, Juan Rios, Amparo Vilarrasa:
Iterative method for automatic detection of masses in digital mammograms for computer-aided diagnosis. Medical Imaging: Image Processing 1999 - 1997
- [c1]Arnulfo Castellanos, Juan Castellanos, Daniel Manrique, A. Martínez:
A New Approach for Extracting Rules from a Trained Neural Network. EPIA 1997: 297-302
Coauthor Index
aka: José M. Font
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last updated on 2024-06-10 21:26 CEST by the dblp team
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