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ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence(1)
Icaart 2020 Proceedings of the 12th International Conference on Agents and Artificial Intelligence(1)
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Time Series Prediction by Using Convolutional Neural Networks
Conference ObjectAbstract: All companies need an effective method to predict future sales, and several classic statistical methPalabras claves:artificial neural networks, convolutional neural networks, Deep learning, Sales forecastAutores:Gissela E. Pilliza, Luis Zhinin-Vera, Oscar Chang, Ronny Xavier VelasteguíFuentes:googlescopusDeep Learning-Based Leukemia Diagnosis from Bone Marrow Images
OtherAbstract: Identifying and classifying features in Bone Marrow Aspirate Smear (BMAS) images is essential for diPalabras claves:bone marrow aspirate smear, Deep learning, image classification, leukemia cellsAutores:Alejandro Moya, Elena Pretel, Jaime Astudillo, Javier Jiménez-Ruescas, Luis Zhinin-VeraFuentes:scopusContinual learning, deep reinforcement learning, and microcircuits: a novel method for clever game playing
ArticleAbstract: Contemporary neural networks frequently encounter the challenge of catastrophic forgetting, whereinPalabras claves:Artificial intelligence, Cognitive computation, Continual learning, Deep learning, deep reinforcement learning, game-playingAutores:Leo Ramos, Luis Zhinin-Vera, Manuel Eugenio Morocho-Cayamcela, Oscar Chang, Rolando ArmasFuentes:scopusSales Forecast by Using Deep Rectifier Network
Conference ObjectAbstract: Sales forecast is a key issue in pharmacy wholesales and has a direct effect in inventory cost, it aPalabras claves:Deep learning, ReLU Neurons, Sale forecastAutores:Galo Eduardo Mosquera-Recalde, Luis Zhinin-Vera, Oscar Chang, Zenaida CastilloFuentes:googlescopusQ-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, Credit Card Fraud Detector, Deep learningAutores:Francisco Quinga Socasi, Gissela E. Pilliza, Luis Zhinin-Vera, Oscar Chang, Rafael Valencia-Ramos, Ronny Xavier VelasteguíFuentes:scopus