Alicia Troncoso Lora

78 papers A* 1B 4C 7Misc 8Journal 31Unranked 13
YearRankTypeTitle / Venue / Authors
2026 — ed.
Hybrid Artificial Intelligent Systems - 20th International Conference, HAIS 2025, Salamanca, Spain, October 16-17, 2025, Proceedings, Part I
HAIS (1)
Emilio Corchado, Héctor Quintián, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove-Pérez, José Luís Calvo-Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez-Álvarez, Álvaro Herrero, Paolo Fosci, Ramos Sérgio Filipe
2026 — ed.
Hybrid Artificial Intelligent Systems - 20th International Conference, HAIS 2025, Salamanca, Spain, October 16-17, 2025, Proceedings, Part II
HAIS (2)
Emilio Corchado, Héctor Quintián, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove-Pérez, José Luís Calvo-Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez-Álvarez, Álvaro Herrero, Paolo Fosci, Ramos Sérgio Filipe
2025 — conf
A New Transformer-Based Hybrid Model to Forecast Olive Fruit Fly Using Multimodal Data.
HAIS (1)
Andrés Manuel Chacón-Maldonado, N. Martínez Van der Looven, Gualberto Asencio-Cortés, Alicia Troncoso Lora
2025 — conf
Feature Importance in Association Rule-Based Explanations for Time Series Forecasting.
IDEAL (2)
A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora
2025 J jnl
Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas.
Ecol. Informatics
Pablo Casas-Gómez, José F. Torres, Juan Carlos Linares, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2025 — ed.
Hybrid Artificial Intelligent Systems - 19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024, Proceedings, Part I
HAIS (1)
Héctor Quintián, Emilio Corchado, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove-Pérez, José Luís Calvo-Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez-Álvarez, Álvaro Herrero, Paolo Fosci
2025 — ed.
Hybrid Artificial Intelligent Systems - 19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024, Proceedings, Part II
HAIS (2)
Héctor Quintián, Emilio Corchado, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove-Pérez, José Luís Calvo-Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez-Álvarez, Álvaro Herrero, Paolo Fosci
2025 J jnl
Improving monsoon forecasting based on feature selection and explainable artificial intelligence.
Appl. Soft Comput.
Andrés Manuel Chacón-Maldonado, A. R. Troncoso-García, Gualberto Asencio-Cortés, Alicia Troncoso Lora
2025 — ed.
The 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024 - Salamanca, Spain, October 9-11, 2024 Proceedings, Volume 2
SOCO (2)
Héctor Quintián, Emilio Corchado, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove, José Luís Calvo-Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez-Álvarez, Álvaro Herrero Cosío, Paolo Fosci
2024 J jnl
Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption.
Future Gener. Comput. Syst.
Rubén Pérez-Chacón, Gualberto Asencio-Cortés, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2024 — ed.
The 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024 - Salamanca, Spain, October 9-11, 2024 Proceedings, Volume 1
SOCO (1)
Héctor Quintián, Emilio Corchado, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove, José Luís Calvo-Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez-Álvarez, Álvaro Herrero Cosío, Paolo Fosci
2023 — ed.
17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) - Salamanca, Spain, September 5-7, 2022, Proceedings
SOCO
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio S. Corchado Rodríguez
2023 — ed.
18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) - Salamanca, Spain, September 5-7, 2023, Proceedings, Volume 1
SOCO (1)
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado
2023 — ed.
18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) - Salamanca, Spain, September 5-7, 2023, Proceedings, Volume 2
SOCO (2)
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado
2023 — conf
Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals.
IWANN (1)
A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora
2023 Misc conf
Evolutionary computation to explain deep learning models for time series forecasting.
SAC
Angela Troncoso-García, Alicia Troncoso Lora, Francisco Martínez-Álvarez, María Martínez-Ballesteros
2023 Misc ed.
Hybrid Artificial Intelligent Systems - 18th International Conference, HAIS 2023, Salamanca, Spain, September 5-7, 2023, Proceedings
HAIS
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado
2023 — ed.
International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022) - Proceedings, Salamanca, Spain, 5-7 September.
CISIS-ICEUTE
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio Corchado
2023 — ed.
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) - Proceedings, Salamanca, Spain, 5-7 September, 2023.
CISIS-ICEUTE
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado
2023 J jnl
Streaming big time series forecasting based on nearest similar patterns with application to energy consumption.
Log. J. IGPL
P. Jiménez-Herrera, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso Lora
2022 J jnl
A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting.
Inf. Sci.
Miguel Ángel Castán-Lascorz, P. Jiménez-Herrera, Alicia Troncoso Lora, Gualberto Asencio-Cortés
2022 Misc ed.
Hybrid Artificial Intelligent Systems - 17th International Conference, HAIS 2022, Salamanca, Spain, September 5-7, 2022, Proceedings
HAIS
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio Corchado
2022 J jnl
Special issue SOCO 2019: New trends in soft computing and its application in industrial and environmental problems.
Neurocomputing
Francisco Martínez-Álvarez, Alicia Troncoso Lora, Héctor Quintián, Emilio Corchado
2021 — conf
Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming.
CAEPIA
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso Lora
2020 — ed.
14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) - Seville, Spain, May 13-15, 2019, Proceedings
SOCO
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José António Sáez Muñoz, Héctor Quintián, Emilio Corchado
2020 J jnl
Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration.
Big Data Res.
Antonio M. Fernández, David Gutiérrez-Avilés, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2020 J jnl
Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand.
Inf. Sci.
Rubén Pérez-Chacón, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso Lora
2020 J jnl
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model.
Big Data
Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, José F. Torres, David Gutiérrez-Avilés, Laura Melgar-García, Rubén Pérez-Chacón, Cristina Rubio-Escudero, José C. Riquelme, Alicia Troncoso Lora
2020 — ed.
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) - Seville, Spain, May 13-15, 2019, Proceedings
CISIS-ICEUTE
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José António Sáez Muñoz, Héctor Quintián, Emilio Corchado
2019 J jnl
Multi-step forecasting for big data time series based on ensemble learning.
Knowl. Based Syst.
Antonio Galicia, Ricardo L. Talavera-Llames, Alicia Troncoso Lora, Irena Koprinska, Francisco Martínez-Álvarez
2018 J jnl
A novel spark-based multi-step forecasting algorithm for big data time series.
Inf. Sci.
Antonio Galicia, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso Lora
2018 J jnl
A scalable approach based on deep learning for big data time series forecasting.
Integr. Comput. Aided Eng.
José F. Torres, Antonio Galicia, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2018 J jnl
Big data time series forecasting based on nearest neighbours distributed computing with Spark.
Knowl. Based Syst.
Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2018 J jnl
Imbalanced classification techniques for monsoon forecasting based on a new climatic time series.
Environ. Model. Softw.
Alicia Troncoso Lora, P. Ribera, Gualberto Asencio-Cortés, Inmaculada Vega, D. Gallego
2017 — conf
Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load.
IWINAC (2)
José F. Torres, Antonio M. Fernández, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2017 J jnl
Medium-large earthquake magnitude prediction in Tokyo with artificial neural networks.
Neural Comput. Appl.
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso Lora, A. Morales-Esteban
2017 J jnl
Using principal component analysis to improve earthquake magnitude prediction in Japan.
Log. J. IGPL
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, A. Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora
2016 Misc conf
Finding Electric Energy Consumption Patterns in Big Time Series Data.
DCAI
Rubén Pérez-Chacón, Ricardo L. Talavera-Llames, Francisco Martínez-Álvarez, Alicia Troncoso Lora
2016 J jnl
Improving a multi-objective evolutionary algorithm to discover quantitative association rules.
Knowl. Inf. Syst.
María Martínez-Ballesteros, Alicia Troncoso Lora, Francisco Martínez-Álvarez, José C. Riquelme
2015 J jnl
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables.
Neurocomputing
Jorge García-Gutiérrez, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
2015 J jnl
A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments.
Knowl. Based Syst.
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso Lora, Antonio Bahamonde
2015 J jnl
A multi-scale smoothing kernel for measuring time-series similarity.
Neurocomputing
Alicia Troncoso Lora, Marta Arias, José C. Riquelme
2015 J jnl
Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets.
Integr. Comput. Aided Eng.
María Martínez-Ballesteros, Jaume Bacardit, Alicia Troncoso Lora, José C. Riquelme
2015 Misc conf
Improving Earthquake Prediction with Principal Component Analysis: Application to Chile.
HAIS
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Antonio Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora
2015 J jnl
Integrating biological knowledge based on functional annotations for biclustering of gene expression data.
Comput. Methods Programs Biomed.
Juan A. Nepomuceno, Alicia Troncoso Lora, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
2014 B conf
Forecasting hourly electricity load profile using neural networks.
IJCNN
Mashud Rana, Irena Koprinska, Alicia Troncoso Lora
2014 J jnl
Selecting the best measures to discover quantitative association rules.
Neurocomputing
María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
2013 — conf
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study.
SOCO-CISIS-ICEUTE
Jorge García-Gutiérrez, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
2013 — ed.
Advances in Artificial Intelligence - 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, Madrid, Spain, September 17-20, 2013. Proceedings
CAEPIA
Concha Bielza, Antonio Salmerón, Amparo Alonso-Betanzos, José Ignacio Hidalgo, Luis Martínez-López, Alicia Troncoso Lora, Emilio Corchado, Juan M. Corchado
2013 B conf
Combining pattern sequence similarity with neural networks for forecasting electricity demand time series.
IJCNN
Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2013 Misc conf
ra A Sensitivity Analysis for Quality Measures of Quantitative Association Rules.
HAIS
María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
2012 — conf
A Kernel for Time Series Classification: Application to Atmospheric Pollutants.
SOCO
Marta Arias, Alicia Troncoso Lora, José C. Riquelme
2011 — conf
A local search in Scatter Search for improving Biclusters.
NaBIC
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz
2011 J jnl
An evolutionary algorithm to discover quantitative association rules in multidimensional time series.
Soft Comput.
María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
2011 J jnl
Biclustering of Gene Expression Data by Correlation-Based Scatter Search.
BioData Min.
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz
2011 — conf
Computational Intelligence Techniques for Predicting Earthquakes.
HAIS (2)
Francisco Martínez-Álvarez, Alicia Troncoso Lora, A. Morales-Esteban, José C. Riquelme
2011 J jnl
Discovery of motifs to forecast outlier occurrence in time series.
Pattern Recognit. Lett.
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme, Jesús S. Aguilar-Ruiz
2011 J jnl
Energy Time Series Forecasting Based on Pattern Sequence Similarity.
IEEE Trans. Knowl. Data Eng.
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme, Jesús S. Aguilar-Ruiz
2011 C conf
Inferring gene coexpression networks with Biclustering based on Scatter Search.
ISDA
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz
2010 — conf
Correlation-Based Scatter Search for Discovering Biclusters from Gene Expression Data.
EvoBIO
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz
2010 Misc conf
Evolutionary metaheuristic for biclustering based on linear correlations among genes.
SAC
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz
2010 J jnl
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution.
Integr. Comput. Aided Eng.
María Martínez-Ballesteros, Alicia Troncoso Lora, Francisco Martínez-Álvarez, José C. Riquelme
2010 J jnl
Pattern recognition to forecast seismic time series.
Expert Syst. Appl.
A. Morales-Esteban, Francisco Martínez-Álvarez, Alicia Troncoso Lora, J. L. Justo, Cristina Rubio-Escudero
2009 — conf
A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms.
PRIB
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz
2009 C conf
An Overlapping Control-Biclustering Algorithm from Gene Expression Data
ISDA
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz
2009 B conf
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences.
IDA
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
2009 C conf
Quantitative Association Rules Applied to Climatological Time Series Forecasting.
IDEAL
María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
2008 J jnl
Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production.
Eur. J. Oper. Res.
Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz, Jesús Manuel Riquelme-Santos
2008 A* conf
LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series.
ICDM
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme, Jesús S. Aguilar-Ruiz
2007 C conf
Biclusters Evaluation Based on Shifting and Scaling Patterns.
IDEAL
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, Jorge García-Gutiérrez
2007 B conf
Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines.
CBMS
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
2007 C conf
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series.
IDEAL
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús Manuel Riquelme-Santos
2006 J jnl
Advances in optimization and prediction techniques: Real-world applications.
AI Commun.
Alicia Troncoso Lora
2003 — conf
Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production.
CAEPIA
Alicia Troncoso Lora, José Cristóbal Riquelme Santos, José Luís Martínez Ramos, Jesús Manuel Riquelme-Santos, Antonio Gómez Expósito
2003 Misc conf
Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production.
EPIA
Alicia Troncoso Lora, José Cristóbal Riquelme Santos, José Luís Martínez Ramos, Jesús Manuel Riquelme-Santos, Antonio Gómez Expósito
2003 — conf
Time-Series Prediction: Application to the Short-Term Electric Energy Demand.
CAEPIA
Alicia Troncoso Lora, Jesús Manuel Riquelme-Santos, José Cristóbal Riquelme Santos, Antonio Gómez Expósito, José Luís Martínez Ramos
2002 C conf
A Comparison of Two Techniques for Next-Day Electricity Price Forecasting.
IDEAL
Alicia Troncoso Lora, Jesús Manuel Riquelme-Santos, José Cristóbal Riquelme Santos, Antonio Gómez Expósito, José Luís Martínez Ramos
2002 C conf
Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance k Nearest Neighbours.
DEXA
Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús Manuel Riquelme-Santos, José Luís Martínez Ramos, Antonio Gómez Expósito