Anibal Flores - researchr alias

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Viewing Publication 1 - 8 from 8

2023

Prediction of Research Project Execution using Data Augmentation and Deep LearningAnibal Flores, Hugo Tito-Chura, Lissethe Zea-Rospigliosi. aepia, 26(71):46-58, March 2023. [doi]

Pm2.5 Time Series Imputation with Deep Learning and InterpolationAnibal Flores, Hugo Tito-Chura, Deymor Centty-Villafuerte, Alejandro Manuel Ecos Espino. computers, 12(8):165, July 2023. [doi]

2022

Neural Machine Translation for Native Language Aymara to EnglishHonorio Apaza, Brisayda Aruhuanca, Mariela M. Nina, Anibal Flores, Carlos Silva, Euler Tito. ftc 2023: 565-576 [doi]

2021

Wind Speed Time Series Prediction with Deep Learning and Data AugmentationAnibal Flores, Hugo Tito-Chura, Victor Yana-Mamani. intellisys 2022: 330-343 [doi]

PM2.5 prediction with Recurrent Neural Networks and Data AugmentationAnibal Flores, José Valeriano-Zapana, Victor Yana-Mamani, Hugo Tito-Chura. lacci 2021: 1-6 [doi]

Data Augmentation for Short-Term Time Series Prediction with Deep LearningAnibal Flores, Hugo Tito-Chura, Honorio Apaza Alanoca. sai 2021: 492-506 [doi]

2020

Comparison of Hybrid Recurrent Neural Networks for Univariate Time Series ForecastingAnibal Flores, Hugo Tito, Deymor Centty. intellisys 2021: 375-387 [doi]

2019

CBRi: A Case Based Reasoning-Inspired Approach for Univariate Time Series ImputationAnibal Flores, Hugo Tito, Carlos Silva. lacci 2019: 1-6 [doi]

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