Mostrando 4 resultados de: 4
Subtipo de publicación
Conference Object(4)
Publisher
2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018(1)
Advances in Intelligent Systems and Computing(1)
Communications in Computer and Information Science(1)
ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence(1)
Área temáticas
Programación informática, programas, datos, seguridad(3)
Economía financiera(2)
Dirección general(1)
Métodos informáticos especiales(1)
Q-Cbkp_redit Card Fraud Detector for Imbalanced Classification using Reinforcement Learning
Conference ObjectAbstract: Every year, billions of dollars are lost due to cbkp_redit card fraud, causing huge losses for usersPalabras 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:scopusRisk analysis of the stock market by means self-organizing maps model
Conference ObjectAbstract: Defining a relationship among companies that belong to the BMEX group in order to provide investorsPalabras claves:IBEX35, Latibex, Self-Organizing Maps, Stock Exchange MarketsAutores:Francisco Ortega-Zamorano, Gissela E. Pilliza, Osiris A. Roman, Sergio H. Hidalgo, Winter J. MorejonFuentes:scopusStock 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:scopusTime Series Pbkp_rediction by Using Convolutional Neural Networks
Conference ObjectAbstract: All companies need an effective method to pbkp_redict future sales, and several classic statisticalPalabras claves:artificial neural networks, convolutional neural networks, deep learning, Sales forecastAutores:Gissela E. Pilliza, Luis Zhinin-Vera, Oscar Chang, Ronny Xavier VelasteguíFuentes:googlescopus