| A deep LSTM network for the Spanish electricity consumption forecasting | 1 | 0.35 | 2022 |
| Wrapper-based feature selection using regression trees to predict intrinsic viscosity of polymer | 0 | 0.34 | 2022 |
| A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture | 0 | 0.34 | 2022 |
| Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem | 0 | 0.34 | 2022 |
| Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach | 0 | 0.34 | 2021 |
| Deep Learning For Time Series Forecasting: A Survey | 6 | 0.52 | 2021 |
| HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting | 0 | 0.34 | 2021 |
| Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning | 0 | 0.34 | 2021 |
| Time-Series Clustering Based on the Characterization of Segment Typologies | 0 | 0.34 | 2021 |
| Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning. | 0 | 0.34 | 2020 |
| High-content screening images streaming analysis using the STriGen methodology | 0 | 0.34 | 2020 |
| Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering. | 0 | 0.34 | 2020 |
| Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model | 2 | 0.38 | 2020 |
| A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series. | 0 | 0.34 | 2020 |
| Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand | 0 | 0.34 | 2020 |
| Special Issue on Hybrid Artificial Intelligence Systems from HAIS 2016 Conference. | 0 | 0.34 | 2019 |
| Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks. | 0 | 0.34 | 2019 |
| Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting. | 1 | 0.36 | 2019 |
| Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville - Improving Computer Science Students Skills. | 0 | 0.34 | 2019 |
| Smartfd: A Real Big Data Application For Electrical Fraud Detection | 0 | 0.34 | 2018 |
| Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses | 0 | 0.34 | 2018 |
| Deep Learning for Big Data Time Series Forecasting Applied to Solar Power. | 1 | 0.35 | 2018 |
| Pairwise gene GO-based measures for biclustering of high-dimensional expression data. | 1 | 0.35 | 2018 |
| Content-based methods in peer assessment of open-response questions to grade students as authors and as graders. | 3 | 0.38 | 2017 |
| Using principal component analysis to improve earthquake magnitude prediction in Japan. | 1 | 0.35 | 2017 |
| Scalable Forecasting Techniques Applied to Big Electricity Time Series. | 6 | 0.43 | 2017 |
| Applications of Computational Intelligence in Time Series. | 0 | 0.34 | 2017 |
| Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load. | 8 | 0.48 | 2017 |
| Obtaining optimal quality measures for quantitative association rules | 3 | 0.36 | 2016 |
| Biclustering Of Gene Expression Data Based On Simui Semantic Similarity Measure | 2 | 0.35 | 2016 |
| A Nearest Neighbours-Based Algorithm For Big Time Series Data Forecasting | 8 | 0.56 | 2016 |
| Extended Weighted Nearest Neighbor For Electricity Load Forecasting | 0 | 0.34 | 2016 |
| Improving a multi-objective evolutionary algorithm to discover quantitative association rules | 1 | 0.34 | 2016 |
| A novel methodology to predict urban traffic congestion with ensemble learning. | 4 | 0.46 | 2016 |
| Scatter search-based identification of local patterns with positive and negative correlations in gene expression data | 3 | 0.36 | 2015 |
| Data Mining for Predicting Traffic Congestion and Its Application to Spanish Data. | 1 | 0.37 | 2015 |
| Including Content-Based Methods in Peer-Assessment of Open-Response Questions. | 3 | 0.38 | 2015 |
| Biclustering of Gene Expression Data by Correlation-Based Scatter Search. | 22 | 0.77 | 2011 |
| Energy Time Series Forecasting Based on Pattern Sequence Similarity | 53 | 3.09 | 2011 |
| Correlation–based scatter search for discovering biclusters from gene expression data | 2 | 0.37 | 2010 |
| Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences | 2 | 0.41 | 2009 |
| An Overlapping Control-Biclustering Algorithm from Gene Expression Data | 0 | 0.34 | 2009 |
| A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms | 4 | 0.40 | 2009 |
| LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series | 13 | 1.55 | 2008 |
| Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines | 2 | 0.39 | 2007 |
