| Tipo Producción |
Título |
Autor |
Año de Producción |
DOI |
Revista |
Fuente |
Cuartil de ScimagoJR o JCR* |
|
Conference Paper
|
Neural Machine Translation for Native Language Aymara to English
|
Apaza H.
|
2023
|
10.1007/978-3-031-18344-7_40
|
Lecture Notes in Networks and Systems
|
|
No Aplica
|
|
Artículo en revista científica
|
Pm2.5 Time Series Imputation with Deep Learning and Interpolation
|
Flores A.
|
2023
|
10.3390/COMPUTERS12080165
|
Computers
|
|
2023: No disponible**, 2020: Q2
|
|
Artículo en revista científica
|
Prediction of Research Project Execution using Data Augmentation and Deep Learning
|
Flores A.
|
2023
|
10.4114/INTARTIF.VOL26ISS71PP46-58
|
Inteligencia Artificial
|
|
2023: No disponible**, 2020: Q4
|
|
Conference Paper
|
Wind Speed Time Series Prediction with Deep Learning and Data Augmentation
|
Flores A.
|
2022
|
10.1007/978-3-030-82193-7_22
|
Lecture Notes in Networks and Systems
|
|
No Aplica
|
|
Conference Paper
|
Wind Speed Time Series Imputation with a Bidirectional Gated Recurrent Unit (GRU) Model
|
Flores A.
|
2022
|
10.1007/978-3-030-89880-9_34
|
Lecture Notes in Networks and Systems
|
|
No Aplica
|
|
Conference Paper
|
Comparison of Hybrid Recurrent Neural Networks for Univariate Time Series Forecasting
|
Flores A.
|
2021
|
10.1007/978-3-030-55180-3_28
|
Advances in Intelligent Systems and Computing
|
|
No Aplica
|
|
Conference Paper
|
Data Augmentation for Short-Term Time Series Prediction with Deep Learning
|
Flores A.
|
2021
|
10.1007/978-3-030-80126-7_36
|
Lecture Notes in Networks and Systems
|
|
No Aplica
|
|
Conference Paper
|
Data Augmentation for Short-Term Time Series Prediction with Deep Learning
|
Flores A.
|
2021
|
10.1007/978-3-030-80126-7_36
|
|
|
|
|
Conference Paper
|
CBRi2: Imputation of solar radiation time series with case based reasoning
|
Flores A.
|
2021
|
10.1109/INTERCON52678.2021.9532750
|
|
|
|
|
Conference Paper
|
Solar radiation prediction with deep learning and data augmentation
|
Paxi-Apaza W.
|
2021
|
10.1109/INTERCON52678.2021.9532823
|
|
|
|
|
Conference Paper
|
PM2.5 prediction with Recurrent Neural Networks and Data Augmentation
|
Flores A.
|
2021
|
10.1109/LA-CCI48322.2021.9769784
|
|
|
|
|
Artículo en revista científica
|
An Ensemble GRU Approach for Wind Speed Forecasting with Data Augmentation
|
Flores A.
|
2021
|
10.14569/IJACSA.2021.0120666
|
International Journal of Advanced Computer Science and Applications
|
|
Q3
|
|
Journal - Article
|
Recurrent Neural Networks for Meteorological Time Series Imputation
|
Flores, Anibal | Tito, Hugo | Centty, Deymor
|
2020
|
|
International Journal of Advanced Computer Science and Applications
|
|
S/C***
|
|
Artículo en revista científica
|
Recurrent neural networks for meteorological time series imputation
|
Flores A.
|
2020
|
|
International Journal of Advanced Computer Science and Applications
|
|
Q3
|
|
Journal - Article
|
CBRm: Case based Reasoning Approach for Imputation of Medium Gaps
|
Flores, Anibal | Tito, Hugo | Silva, Carlos
|
2019
|
|
|
|
S/C***
|
|
Journal - Article
|
Improving Gated Recurrent Unit Predictions with Univariate Time Series Imputation Techniques
|
Flores, Anibal | Tito, Hugo | Centty, Deymor
|
2019
|
|
|
|
S/C***
|
|
Journal - Article
|
Improving Long Short-Term Memory Predictions with Local Average of Nearest Neighbors
|
Flores, Anibal | Tito, Hugo | Centty, Deymor
|
2019
|
|
|
|
S/C***
|
|
Journal - Article
|
Local Average of Nearest Neighbors: Univariate Time Series Imputation
|
Flores, Anibal | Tito, Hugo | Silva, Carlos
|
2019
|
|
|
|
S/C***
|
|
Journal - Article
|
Model for Time Series Imputation based on Average of Historical Vectors, Fitting and Smoothing
|
Flores, Anibal | Tito, Hugo | Centty, Deymor
|
2019
|
|
|
|
S/C***
|
|
Journal - Article
|
Proposal Models for Personalization of e-Learning based on Flow Theory and Artificial Intelligence
|
Flores, Anibal | Alfaro, Luis | Herrera, Jose | Hinojosa, Edward
|
2019
|
|
|
|
S/C***
|
|
Conference Paper
|
Proposal model for e-learning based on Case Based Reasoning and Reinforcement Learning
|
Flores A.
|
2019
|
10.1109/EDUNINE.2019.8875800
|
EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings
|
|
No Aplica
|
|
Conference Paper
|
CBRi: A Case Based Reasoning-Inspired Approach for Univariate Time Series Imputation
|
Flores A.
|
2019
|
10.1109/LA-CCI47412.2019.9036761
|
|
|
|
|
Artículo en revista científica
|
Proposal models for personalization of e-learning based on flow theory and artificial intelligence
|
Flores A.
|
2019
|
10.14569/IJACSA.2019.0100752
|
International Journal of Advanced Computer Science and Applications
|
|
Q4
|
|
Artículo en revista científica
|
Local average of nearest neighbors: Univariate time series imputation
|
Flores A.
|
2019
|
10.14569/IJACSA.2019.0100807
|
International Journal of Advanced Computer Science and Applications
|
|
Q4
|
|
Artículo en revista científica
|
CBRm: Case Based Reasoning approach for imputation of medium gaps
|
Flores A.
|
2019
|
10.14569/IJACSA.2019.0100949
|
International Journal of Advanced Computer Science and Applications
|
|
Q4
|
|
Artículo en revista científica
|
Model for time series imputation based on average of historical vectors, fitting and smoothing
|
Flores A.
|
2019
|
10.14569/IJACSA.2019.0101049
|
International Journal of Advanced Computer Science and Applications
|
|
Q4
|
|
Artículo en revista científica
|
Improving long short-term memory predictions with local average of nearest neighbors
|
Flores A.
|
2019
|
10.14569/IJACSA.2019.0101154
|
International Journal of Advanced Computer Science and Applications
|
|
Q4
|
|
Artículo en revista científica
|
Improving gated recurrent unit predictions with univariate time series imputation techniques
|
Flores A.
|
2019
|
10.14569/ijacsa.2019.0101290
|
International Journal of Advanced Computer Science and Applications
|
|
Q4
|
|
DoctoralThesis
|
Modelo Inteligente para la Gestión de Aprendizaje aplicando Case Based Reasoning (CBR) y Reinforcement Learning (RL)
|
Flores Garcia, Anibal Fernando
|
2019
|
|
|
|
No Aplica
|