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2020 – today
- 2024
[j10]Eduard Puerto, José Aguilar, Ángel Pinto:
Automatic Spell-Checking System for Spanish Based on the Ar2p Neural Network Model. Comput. 13(3): 76 (2024)- [c8]José Aguilar, Ángel Pinto
, Eduard Puerto, Yair Rivero:
Study of the Learning Algorithm for Multivariable Data Analysis in Machine Learning Tasks Under Missing Data. CLEI 2024: 1-9 - 2023
- [j9]Fredy Humberto Vera-Rivera, Eduard Gilberto Puerto Cuadros, Boris Perez, Hernán Astudillo, Carlos Gaona:
SEMGROMI - a semantic grouping algorithm to identifying microservices using semantic similarity of user stories. PeerJ Comput. Sci. 9: e1380 (2023) - [c7]Ricardo dos Santos, Eduard Puerto, José Aguilar:
Automated Ontology Generator System Based on Linked Data. CLEI 2023: 1-10 - 2021
- [j8]Fredy Humberto Vera-Rivera, Eduard Puerto, Hernán Astudillo, Carlos Mauricio Gaona:
Microservices Backlog-A Genetic Programming Technique for Identification and Evaluation of Microservices From User Stories. IEEE Access 9: 117178-117203 (2021) - [j7]Angel Gil, Eduard Puerto, José Aguilar, Eladio Dapena:
Analysis of the Emotions in a Multi-Robot System in Emergent Contexts. Cybern. Syst. 52(4): 245-273 (2021) - [c6]Ricardo dos Santos, José Aguilar, Eduard Puerto:
A Meta-Learning Architecture based on Linked Data. CLEI 2021: 1-10 - 2020
- [j6]Jorge Cordero, José Aguilar, Kristell Aguilar, Danilo Chávez, Eduard Puerto:
Recognition of the Driving Style in Vehicle Drivers. Sensors 20(9): 2597 (2020) - [c5]Fredy Humberto Vera-Rivera, Eduard Gilberto Puerto Cuadros, Hernán Astudillo, Carlos Mauricio Gaona-Cuevas:
Microservices Backlog - A Model of Granularity Specification and Microservice Identification. SCC 2020: 85-102
2010 – 2019
- 2019
- [j5]Eduard Puerto, José Aguilar, Silvia Catalina Lopez Chavez, Danilo Chávez:
Using Multilayer Fuzzy Cognitive Maps to diagnose Autism Spectrum Disorder. Appl. Soft Comput. 75: 58-71 (2019) - [j4]Angel Gil, Eduardo Puerto, José Aguilar, Eladio Dapena:
An emotional model for swarm robotics. CLEI Electron. J. 22(3) (2019) - [j3]Eduard Puerto, José Aguilar, R. Vargas, J. Reyes:
An Ar2p Deep Learning Architecture for the Discovery and the Selection of Features. Neural Process. Lett. 50(1): 623-643 (2019) - 2018
- [j2]Eduard Puerto, José Aguilar, Danilo Chávez:
A recursive patterns matching model for the dynamic pattern recognition problem. Appl. Artif. Intell. 32(4): 419-432 (2018) - [c4]Angel Gil, José Aguilar, Eduard Puerto, Eladio Dapena:
Emergence Analysis in a Multi-Robot System. CLEI 2018: 662-669 - 2017
- [c3]José Aguilar, Kristell Aguilar, Danilo Chávez, Jorge Cordero, Eduard Puerto:
Different Intelligent Approaches for Modeling the Style of Car Driving. ICINCO (2) 2017: 284-291 - 2016
- [j1]Eduard Gilberto Puerto Cuadros, José Lisandro Aguilar Castro:
Learning Algorithm for the Recursive Pattern Recognition Model. Appl. Artif. Intell. 30(7): 662-678 (2016) - [c2]José Aguilar, Omar Portilla, Eduard Puerto:
Adaptive hybrid recommender system of learning objects. LA-CCI 2016: 1-6 - [c1]Eduard Puerto, José Aguilar:
Extended abstract: Formal description of a pattern for a recursive process of recognition. LA-CCI 2016: 1-2
Coauthor Index
aka: José Lisandro Aguilar Castro
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last updated on 2024-11-07 20:35 CET by the dblp team
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