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María Luisa Pérez-Delgado
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- affiliation: University of Salamanca, Spain
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2020 – today
- 2024
- [j12]María Luisa Pérez-Delgado
, M. Emre Celebi
A comparative study of color quantization methods using various image quality assessment indices. Multim. Syst. 30(1): 40 (2024) - 2023
- [j11]María Luisa Pérez-Delgado
A comparative study of evolutionary computation and swarm-based methods applied to color quantization. Expert Syst. Appl. 231: 120666 (2023) - [j10]M. Emre Celebi, María Luisa Pérez-Delgado
cq100: a high-quality image dataset for color quantization research. J. Electronic Imaging 32(3) (2023) - [p1]María Luisa Pérez-Delgado
Swarm-Based Methods Applied to Computer Vision. Smart Computer Vision 2023: 331-356 - 2021
- [j9]María Luisa Pérez-Delgado
Revisiting the Iterative Ant-tree for color quantization algorithm. J. Vis. Commun. Image Represent. 78: 103180 (2021) - 2020
- [j8]María Luisa Pérez-Delgado
A two-stage method to improve the quality of quantized images. J. Real Time Image Process. 17(3): 581-605 (2020) - [j7]María Luisa Pérez-Delgado
Color quantization with Particle swarm optimization and artificial ants. Soft Comput. 24(6): 4545-4573 (2020)
2010 – 2019
- 2019
- [j6]María Luisa Pérez-Delgado
A Hybrid Color Quantization Algorithm That Combines the Greedy Orthogonal Bi-Partitioning Method With Artificial Ants. IEEE Access 7: 128714-128734 (2019) - [j5]María Luisa Pérez-Delgado
The color quantization problem solved by swarm-based operations. Appl. Intell. 49(7): 2482-2514 (2019) - [j4]María Luisa Pérez-Delgado
Color image quantization using the shuffled-frog leaping algorithm. Eng. Appl. Artif. Intell. 79: 142-158 (2019) - 2018
- [j3]María Luisa Pérez-Delgado
Artificial ants and fireflies can perform colour quantisation. Appl. Soft Comput. 73: 153-177 (2018) - [j2]María Luisa Pérez-Delgado
An iterative method to improve the results of ant-tree algorithm applied to colour quantisation. Int. J. Bio Inspired Comput. 12(2): 87-114 (2018) - 2015
- [j1]María Luisa Pérez-Delgado
Colour quantization with Ant-tree. Appl. Soft Comput. 36: 656-669 (2015) - 2010
- [c11]María Luisa Pérez-Delgado
An Improved AntTree Algorithm for Document Clustering. DCAI 2010: 481-488 - [c10]María Luisa Pérez-Delgado
Solving the General Routing Problem by Artificial Ants. DCAI 2010: 637-644 - [c9]María Luisa Pérez-Delgado:
Elitist Ants Applied to the Undirected Rural Postman Problem. PAAMS 2010: 221-230 - [c8]María Luisa Pérez-Delgado:
Solving an Arc-Routing Problem Using Artificial Ants with a Graph Transformation. PAAMS 2010: 241-246
2000 – 2009
- 2009
- [c7]María Luisa Pérez-Delgado
A Post-optimization Method to Improve the Ant Colony System Algorithm. IWANN (2) 2009: 424-431 - [c6]María Luisa Pérez-Delgado
Rank-Based Ant System to Solve the Undirected Rural Postman Problem. IWANN (2) 2009: 507-514 - [c5]María Luisa Pérez-Delgado
Artificial Ants and Packaging Waste Recycling. IWANN (2) 2009: 596-603 - [c4]María Luisa Pérez-Delgado:
The Undirected Rural Postman Problem Solved by the MAX-MIN Ant System. PAAMS 2009: 179-187 - [c3]María Luisa Pérez-Delgado, Juan C. Matos-Franco:
Artificial Intelligence for Picking Up Recycling Bins: A Practical Application. PAAMS 2009: 392-400 - 2007
- [c2]María Luisa Pérez-Delgado:
A Solution to the Rural Postman Problem Based on Artificial Ant Colonies. CAEPIA 2007: 220-228 - [c1]María Luisa Pérez-Delgado, Juan C. Matos-Franco:
Self-organizing Feature Maps to Solve the Undirected Rural Postman Problem. EUROCAST 2007: 804-811
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