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Luis Fernando de Mingo López
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2020 – today
- 2023
- [j12]Alberto Arteta Albert
, Yanjun Zhao, Luis Fernando de Mingo López, Nuria Gómez Blas
An Encrypted Proposal Method in Membrane Computing Aggregation (MCA). Mob. Networks Appl. 28(2): 499-506 (2023) - 2022
- [c22]Alberto Arteta, Kristopher Allbright, Mehmet Sahinoglu, Luis Fernando de Mingo López:
Predicting Time Series Values with LSTM Different Scenarios for Prediction. CSCI 2022: 219-225 - 2021
- [c21]Alberto Arteta Albert
Maximizing Parallelism in the Cloud: A Hybrid Load Balancing Approach. ICICT (3) 2021: 655-666 - 2020
- [j11]Luis Fernando de Mingo López
Swarm Intelligence Models: Ant Colony Systems Applied to BNF Grammars Rule Derivation. Int. J. Found. Comput. Sci. 31(1): 103-116 (2020) - [j10]Luis Fernando de Mingo López
Ant colony systems optimization applied to BNF grammars rule derivation (ACORD algorithm). Soft Comput. 24(5): 3141-3154 (2020) - [c20]Alberto Arteta Albert
Boosting Performance in Parallel Computing Models with a New Experimental Architecture. PAAP 2020: 418-428
2010 – 2019
- 2019
- [j9]Alberto Arteta Albert
Multilinear Weighted Regression (MWE) with Neural Networks for trend prediction. Appl. Soft Comput. 82 (2019) - [c19]Alberto Arteta
Membrane Computing Aggregation (MCA): An Upgraded Framework for Transition P-Systems. BICT 2019: 195-207 - 2018
- [j8]Clemencio Morales Lucas
Natural Computing Applied to the Underground System: A Synergistic Approach for Smart Cities. Sensors 18(12): 4094 (2018) - [j7]Luis Fernando de Mingo López
Multidimensional knapsack problem optimization using a binary particle swarm model with genetic operations. Soft Comput. 22(8): 2567-2582 (2018) - [c18]Luis Fernando de Mingo López
ACORD: Ant Colony Optimization and BNF Grammar Rule Derivation. Enjoying Natural Computing 2018: 99-113 - 2016
- [j6]Alberto Arteta Albert
Natural combination to trade in the stock market. Soft Comput. 20(6): 2433-2450 (2016) - 2015
- [j5]Luis Fernando de Mingo López, Nuria Gómez Blas, Alberto Arteta:
Optimal Performance: Underlying Octahedron Graph of Evolutionary Processors. Comput. Informatics 34(4): 858-876 (2015) - 2013
- [j4]Ana Martínez Blanco, Angel Castellanos Peñuela, Luis Fernando de Mingo López
Data Mining with Enhanced Neural Networks-CMMSE. J. Math. Model. Algorithms Oper. Res. 12(3): 277-290 (2013) - 2012
- [j3]Luis Fernando de Mingo López
The optimal combination: Grammatical swarm, particle swarm optimization and neural networks. J. Comput. Sci. 3(1-2): 46-55 (2012) - 2011
- [j2]Alberto Arteta
Solving complex problems with a bioinspired model. Eng. Appl. Artif. Intell. 24(6): 919-927 (2011)
2000 – 2009
- 2009
- [j1]Luis Fernando de Mingo López
Hierarchical Function Approximation with a Neural Network Model. Int. J. Softw. Sci. Comput. Intell. 1(3): 67-80 (2009) - [c17]Jesús Bobadilla, Francisco Serradilla, Luis F. Mingo:
Reducing Recommender Systems Data Base Sizes and Improving their Accuracy. International Conference on Internet Computing 2009: 196-202 - 2008
- [c16]Nuria Gómez Blas
Networks of evolutionary processors with a self-organizing learning. AICCSA 2008: 917-918 - [c15]Nuria Gómez Blas, Luis Fernando de Mingo López, Eugenio Santos:
Massive Parallel Networks of Evolutionary Processors as NP-Problem Solvers. ICEIS (2) 2008: 588-592 - [c14]Luis Fernando de Mingo López
A String Measure with Symbols Generation: String Self-Organizing Maps. ICONIP (2) 2008: 123-130 - [c13]Victor J. Martínez, Abraham Gutiérrez
Circuit FPGA for Active Rules Selection in a Transition P System Region. ICONIP (2) 2008: 893-900 - 2007
- [c12]Juan Castellanos, Florin Manea, Luis Fernando de Mingo López
Accepting Networks of Splicing Processors with Filtered Connections. MCU 2007: 218-229 - [p1]Miguel Angel Díaz, Luis Fernando de Mingo López
Implementation of Massive Parallel Networks of Evolutionary Processors (MPNEP): 3-Colorability Problem. NICSO 2007: 399-408 - 2006
- [c11]Luis Fernando de Mingo López
Hierarchical Knowledge Representation to Approximate Functions. IEEE ICCI 2006: 261-267 - 2005
- [c10]Luis Fernández, Victor J. Martínez, Fernando Arroyo
A Hardware Circuit for Selecting Active Rules in Transition P Systems. SYNASC 2005: 415-418 - 2003
- [c9]Fernando Arroyo, Juan Castellanos, Carmen Luengo, Luis F. Mingo
A Binary Data Structure for Membrane Processors: Connectivity Arrays. Workshop on Membrane Computing 2003: 19-30 - 2002
- [c8]Fernando Arroyo, Carmen Luengo, Angel V. Baranda, Luis F. Mingo
A Software Simulation of Transition P Systems in Haskell. WMC-CdeA 2002: 19-32 - 2001
- [c7]Jose Rodrigo, Juan Castellanos, Fernando Arroyo, Luis Fernando de Mingo López:
Is evolutionary computation using DNA strands feasible? Where Mathematics, Computer Science, Linguistics and Biology Meet 2001: 423-434 - 2000
- [b1]Luis Fernando de Mingo López:
Nuevos métodos para el reconocimiento y clasificación de patrones con redes de neuronas. Technical University of Madrid, Spain, 2000 - [c6]Fernando Arroyo, Angel V. Baranda, Juan Castellanos, Carmen Luengo, Luis F. Mingo
Structures and Bio-language to Simulate Transition P Systems on Digital Computers. WMP 2000: 1-16
1990 – 1999
- 1999
- [c5]Luis F. Mingo
Enhanced Neural Networks and Medical Imaging. CAIP 1999: 149-156 - [c4]C. Hernández, A. Martínez, Juan Castellanos, Luis F. Mingo
Controlling chaotic nonlinear dynamical systems. ICECS 1999: 1231-1234 - [c3]A. Martínez, Juan Castellanos, C. Hernández, Luis Fernando de Mingo López:
Study of Weight Importance in Neural Networks Working with Colineal Variables in Regression Problems. IEA/AIE 1999: 101-110 - 1998
- [c2]Luis F. Mingo, Juan Castellanos, Victor Giménez, Amparo Vilarrasa:
Hierarchical neural network system to breasts cancer diagnosis. EUSIPCO 1998: 1-4 - 1997
- [c1]Victor Giménez, Margarita Pérez-Castellanos, J. Rios Carrion, Luis Fernando de Mingo López
Capacity and Parasitic Fixed Points Control in a Recursive Neural Network. IWANN 1997: 217-226
Coauthor Index
aka: Alberto Arteta
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