CBRi: A Case Based Reasoning-Inspired Approach for Univariate Time Series Imputation. - Anibal Flores; Hugo Tito; Carlos Silva (LA-CCI, 2019)

Comparison of Hybrid Recurrent Neural Networks for Univariate Time Series Forecasting. - Anibal Flores; Hugo Tito; Deymor Centty (IntelliSys (1), 2020)

Wind Speed Time Series Prediction with Deep Learning and Data Augmentation. - Anibal Flores; Hugo Tito-Chura; Victor Yana-Mamani (IntelliSys (1), 2021)

PM2.5 prediction with Recurrent Neural Networks and Data Augmentation. - Anibal Flores; José Valeriano-Zapana; Victor Yana-Mamani; Hugo Tito-Chura (LA-CCI, 2021)

Data Augmentation for Short-Term Time Series Prediction with Deep Learning. - Anibal Flores; Hugo Tito-Chura; Honorio Apaza Alanoca (SAI (2), 2021)

Prediction of Research Project Execution using Data Augmentation and Deep Learning. - Anibal Flores; Hugo Tito-Chura; Lissethe Zea-Rospigliosi (Inteligencia Artif., 2023)

Pm2.5 Time Series Imputation with Deep Learning and Interpolation. - Anibal Flores; Hugo Tito-Chura; Deymor Centty-Villafuerte; Alejandro Manuel Ecos Espino (Comput., 2023)

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)

Multi-Step Forecasting of Guillain Barré Cases using Deep Learning. - Anibal Flores; Hugo Tito-Chura (Informatica (Slovenia), 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., 2024)