Anibal Flores

According to our database, Anibal Flores authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2026

Multi-Step Forecasting of Weekly Dengue Cases Using Data Augmentation and Convolutional Recurrent Neural Networks.

Anibal Flores, Hugo Tito-Chura, Jose Guzman-Valdivia, Ruso Morales-Gonzales, Charles Rosado-Chavez, Carlos Silva-Delgado

Comput., 2026

2025

A Multi-Step PM2.5 Time Series Forecasting Approach for Mining Areas Using Last Day Observed, Correlation-Based Retrieval, and Interpolation.

Anibal Flores, Hugo Tito-Chura, Jose Guzman-Valdivia, Ruso Morales-Gonzales, Eduardo Flores-Quispe, Osmar Cuentas-Toledo

Comput., 2025

2024

Weighted Averages and Polynomial Interpolation for PM2.5 Time Series Forecasting.

Anibal Flores, Hugo Tito-Chura, Victor Yana-Mamani, Charles Rosado-Chavez, Alejandro Manuel Ecos Espino

Comput., September, 2024

Multi-Step Forecasting of Guillain Barré Cases using Deep Learning.

Anibal Flores, Hugo Tito-Chura

Informatica (Slovenia), 2024

PM2.5 Time Series Imputation with Moving Averages, Smoothing, and Linear Interpolation.

Anibal Flores, Hugo Tito-Chura, Osmar Cuentas-Toledo, Victor Yana-Mamani, Deymor Centty-Villafuerte

Comput., 2024

2023

Pm2.5 Time Series Imputation with Deep Learning and Interpolation.

Anibal Flores, Hugo Tito-Chura, Deymor Centty-Villafuerte, Alejandro Manuel Ecos Espino

Comput., July, 2023

Prediction of Research Project Execution using Data Augmentation and Deep Learning.

Anibal Flores, Hugo Tito-Chura, Lissethe Zea-Rospigliosi

Inteligencia Artif., March, 2023

2022

Neural Machine Translation for Native Language Aymara to English.

Honorio Apaza, Brisayda Aruhuanca, Mariela M. Nina, Anibal Flores, Carlos Silva, Euler Tito

Proceedings of the Future Technologies Conference, 2022

2021

Data Augmentation for Short-Term Time Series Prediction with Deep Learning.

Anibal Flores, Hugo Tito-Chura, Honorio Apaza Alanoca

Proceedings of the Intelligent Computing, 2021

PM2.5 prediction with Recurrent Neural Networks and Data Augmentation.

Anibal Flores, José Valeriano-Zapana, Victor Yana-Mamani, Hugo Tito-Chura

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

Wind Speed Time Series Prediction with Deep Learning and Data Augmentation.

Anibal Flores, Hugo Tito-Chura, Victor Yana-Mamani

Proceedings of the Intelligent Systems and Applications, 2021

2020

Comparison of Hybrid Recurrent Neural Networks for Univariate Time Series Forecasting.

Anibal Flores, Hugo Tito, Deymor Centty

Proceedings of the Intelligent Systems and Applications, 2020

2019

CBRi: A Case Based Reasoning-Inspired Approach for Univariate Time Series Imputation.

Anibal Flores, Hugo Tito, Carlos Silva

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019