Mostrando 4 resultados de: 4
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Conference Object(4)
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Communications in Computer and Information Science(2)
Advances in Intelligent Systems and Computing(1)
ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence(1)
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Ciencias de la computación(2)
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Economía financiera(1)
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Programación informática, programas, datos, seguridad(1)
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Ciencias de la computación(4)
Aprendizaje automático(3)
Diabetes(1)
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Inteligencia artificial(1)
A Machine Learning Approach for Blood Glucose Level Prediction Using a LSTM Network
Conference ObjectAbstract: Diabetes is a chronic disease characterized by the elevation of glucose in blood resulting in multipPalabras claves:Blood glucose level pbkp_rediction, Linear interpolation, long short-Term memory, Machine learning, TIME SERIESAutores:Belén Maldonado-Cuascota, Diana León Domínguez, Fernando A. Gonzales-Zubiate, Gabriela Pineda-Molina, Hidalgo-Parra A.A., Luis Zhinin-Vera, Nayeli Y. Gómez-Castillo, Pedro E. Cajilima-CardenazFuentes:scopusQ-Credit Card Fraud Detector for Imbalanced Classification using Reinforcement Learning
Conference ObjectAbstract: Every year, billions of dollars are lost due to credit card fraud, causing huge losses for users andPalabras claves:Agents, Cbkp_redit Card Fraud Detector, deep learningAutores:Francisco Quinga Socasi, Gissela E. Pilliza, Luis Zhinin-Vera, Oscar Chang, Rafael Valencia-Ramos, Ronny Xavier VelasteguíFuentes:scopusSelf-taught Neural Agents in Clever Game Playing
Conference ObjectAbstract: In the Tic-Tac-Toe game community, brilliant children and some adults discover, through playing expePalabras claves:Neural agents, reinforcement learning, Self-taught networksAutores:Francisco Quinga-Socasi, Luis Zhinin-Vera, Oscar ChangFuentes:googlescopusStock Markets Risk Analysis Performance by Self Organized Maps AI Techniques: Comparison and Implementation of Three SOM Methods
Conference ObjectAbstract: Despite the exponential increase in the use of AI tools, the financial field has become a target jusPalabras claves:IBEX35, Investment risk, NASDAQ, NYSE, S&P Latin America 40, Self Organized Maps, Stock index, stock marketAutores:Gissela E. Pilliza, Luis Zhinin-Vera, Rafael Valencia-Ramos, Ronny Xavier VelasteguíFuentes:scopus