Anibal Flores

13 papers Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-Step Forecasting of Weekly Dengue Cases Using Data Augmentation and Convolutional Recurrent Neural Networks.
Comput.
Anibal Flores, Hugo Tito-Chura, Jose Guzman-Valdivia, Ruso Morales-Gonzales, Charles Rosado-Chavez, Carlos Silva-Delgado
2025 J jnl
A Multi-Step PM2.5 Time Series Forecasting Approach for Mining Areas Using Last Day Observed, Correlation-Based Retrieval, and Interpolation.
Comput.
Anibal Flores, Hugo Tito-Chura, Jose Guzman-Valdivia, Ruso Morales-Gonzales, Eduardo Flores-Quispe, Osmar Cuentas-Toledo
2024 J jnl
Multi-Step Forecasting of Guillain Barré Cases using Deep Learning.
Informatica (Slovenia)
Anibal Flores, Hugo Tito-Chura
2024 J jnl
PM2.5 Time Series Imputation with Moving Averages, Smoothing, and Linear Interpolation.
Comput.
Anibal Flores, Hugo Tito-Chura, Osmar Cuentas-Toledo, Victor Yana-Mamani, Deymor Centty-Villafuerte
2024 J jnl
Weighted Averages and Polynomial Interpolation for PM2.5 Time Series Forecasting.
Comput.
Anibal Flores, Hugo Tito-Chura, Victor Yana-Mamani, Charles Rosado-Chavez, Alejandro Manuel Ecos Espino
2023 J jnl
Pm2.5 Time Series Imputation with Deep Learning and Interpolation.
Comput.
Anibal Flores, Hugo Tito-Chura, Deymor Centty-Villafuerte, Alejandro Manuel Ecos Espino
2023 J jnl
Prediction of Research Project Execution using Data Augmentation and Deep Learning.
Inteligencia Artif.
Anibal Flores, Hugo Tito-Chura, Lissethe Zea-Rospigliosi
2022 — conf
Neural Machine Translation for Native Language Aymara to English.
FTC (3)
Honorio Apaza, Brisayda Aruhuanca, Mariela M. Nina, Anibal Flores, Carlos Silva, Euler Tito
2021 — conf
Data Augmentation for Short-Term Time Series Prediction with Deep Learning.
SAI (2)
Anibal Flores, Hugo Tito-Chura, Honorio Apaza Alanoca
2021 — conf
PM2.5 prediction with Recurrent Neural Networks and Data Augmentation.
LA-CCI
Anibal Flores, José Valeriano-Zapana, Victor Yana-Mamani, Hugo Tito-Chura
2021 — conf
Wind Speed Time Series Prediction with Deep Learning and Data Augmentation.
IntelliSys (1)
Anibal Flores, Hugo Tito-Chura, Victor Yana-Mamani
2020 — conf
Comparison of Hybrid Recurrent Neural Networks for Univariate Time Series Forecasting.
IntelliSys (1)
Anibal Flores, Hugo Tito, Deymor Centty
2019 — conf
CBRi: A Case Based Reasoning-Inspired Approach for Univariate Time Series Imputation.
LA-CCI
Anibal Flores, Hugo Tito, Carlos Silva