Alicia Troncoso Lora
Orcid: 0000-0002-9801-7999Affiliations:
- Pablo de Olavide University, Sevilla, Spain
According to our database1,
Alicia Troncoso Lora
authored at least 114 papers
between 2002 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area.
Int. J. Digit. Earth, December, 2023
Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting.
Comput. Electron. Agric., December, 2023
A new Apache Spark-based framework for big data streaming forecasting in IoT networks.
J. Supercomput., July, 2023
FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer.
SoftwareX, July, 2023
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series.
Inf. Fusion, July, 2023
A new approach based on association rules to add explainability to time series forecasting models.
Inf. Fusion, June, 2023
Streaming big time series forecasting based on nearest similar patterns with application to energy consumption.
Log. J. IGPL, March, 2023
Identifying novelties and anomalies for incremental learning in streaming time series forecasting.
Eng. Appl. Artif. Intell., 2023
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
Machine Learning Approaches for Predicting Tree Growth Trends Based on Basal Area Increment.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
Evolutionary computation to explain deep learning models for time series forecasting.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
Proceedings of the Advances in Computational Intelligence, 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python.
Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023
2022
Neural Comput. Appl., 2022
A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting.
Inf. Sci., 2022
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture.
Neurocomputing, 2022
Special issue SOCO 2019: New trends in soft computing and its application in industrial and environmental problems.
Neurocomputing, 2022
Wrapper-based feature selection using regression trees to predict intrinsic viscosity of polymer.
Eng. Comput., 2022
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
A novel approach to discover numerical association based on the coronavirus optimization algorithm.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
Nearest neighbors with incremental learning for real-time forecasting of electricity demand.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022
2021
IEEE Trans. Cybern., 2021
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach.
Inf. Sci., 2021
Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks.
Proceedings of the Advances in Artificial Intelligence, 2021
Proceedings of the Advances in Artificial Intelligence, 2021
2020
Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand.
Inf. Sci., 2020
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model.
Big Data, 2020
Big Data Res., 2020
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
2019
Knowl. Based Syst., 2019
MV-kWNN: A novel multivariate and multi-output weighted nearest neighbours algorithm for big data time series forecasting.
Neurocomputing, 2019
Neurocomputing, 2019
Expert Syst. J. Knowl. Eng., 2019
A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System.
IEEE Access, 2019
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019
Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting.
Proceedings of the Advances in Computational Intelligence, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills.
Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019
2018
Big data time series forecasting based on nearest neighbours distributed computing with Spark.
Knowl. Based Syst., 2018
Inf. Sci., 2018
Integr. Comput. Aided Eng., 2018
Imbalanced classification techniques for monsoon forecasting based on a new climatic time series.
Environ. Model. Softw., 2018
CoRR, 2018
Pairwise gene GO-based measures for biclustering of high-dimensional expression data.
BioData Min., 2018
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018
Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
2017
Medium-large earthquake magnitude prediction in Tokyo with artificial neural networks.
Neural Comput. Appl., 2017
Content-based methods in peer assessment of open-response questions to grade students as authors and as graders.
Knowl. Based Syst., 2017
Using principal component analysis to improve earthquake magnitude prediction in Japan.
Log. J. IGPL, 2017
Comput. Intell. Neurosci., 2017
Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017
Proceedings of the Advances in Computational Intelligence, 2017
2016
Soft Comput., 2016
Improving a multi-objective evolutionary algorithm to discover quantitative association rules.
Knowl. Inf. Syst., 2016
Neurocomputing, 2016
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Proceedings of the Distributed Computing and Artificial Intelligence, 2016
Automated Spark Clusters Deployment for Big Data with Standalone Applications Integration.
Proceedings of the Advances in Artificial Intelligence, 2016
2015
A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments.
Knowl. Based Syst., 2015
Neurocomputing, 2015
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables.
Neurocomputing, 2015
Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets.
Integr. Comput. Aided Eng., 2015
Integrating biological knowledge based on functional annotations for biclustering of gene expression data.
Comput. Methods Programs Biomed., 2015
Scatter search-based identification of local patterns with positive and negative correlations in gene expression data.
Appl. Soft Comput., 2015
Proceedings of the 10th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
Improving Earthquake Prediction with Principal Component Analysis: Application to Chile.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015
2014
Neurocomputing, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013
Combining pattern sequence similarity with neural networks for forecasting electricity demand time series.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
2012
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012
2011
IEEE Trans. Knowl. Data Eng., 2011
An evolutionary algorithm to discover quantitative association rules in multidimensional time series.
Soft Comput., 2011
Pattern Recognit. Lett., 2011
BioData Min., 2011
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
2010
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution.
Integr. Comput. Aided Eng., 2010
Evolutionary metaheuristic for biclustering based on linear correlations among genes.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
Correlation-Based Scatter Search for Discovering Biclusters from Gene Expression Data.
Proceedings of the Evolutionary Computation, 2010
2009
A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms.
Proceedings of the Pattern Recognition in Bioinformatics, 2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009
2008
Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production.
Eur. J. Oper. Res., 2008
LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007
2006
AI Commun., 2006
2003
Proceedings of the Progress in Artificial Intelligence, 2003
Proceedings of the Current Topics in Artificial Intelligence, 2003
Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production.
Proceedings of the Current Topics in Artificial Intelligence, 2003
2002
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002
Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance k Nearest Neighbours.
Proceedings of the Database and Expert Systems Applications, 13th International Conference, 2002