Alicia Troncoso Lora

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 26

Top Topics

Nearest Neighbour

Electricity Consumption

Top Venues

Knowl. Based Syst.

Publications

Rubén Pérez-Chacón, Gualberto Asencio-Cortés, Alicia Troncoso Lora, Francisco Martínez-Álvarez
Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption. Future Gener. Comput. Syst. 154 (2024)
Angela Troncoso-García, Alicia Troncoso Lora, Francisco Martínez-Álvarez, María Martínez-Ballesteros
Evolutionary computation to explain deep learning models for time series forecasting. SAC (2023)
A. R. Troncoso-García, M. Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora
Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals. IWANN (1) (2023)
P. Jiménez-Herrera, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso Lora
Streaming big time series forecasting based on nearest similar patterns with application to energy consumption. Log. J. IGPL 31 (2) (2023)
Francisco Martínez-Álvarez, Alicia Troncoso Lora, Héctor Quintián, Emilio Corchado
Special issue SOCO 2019: New trends in soft computing and its application in industrial and environmental problems. Neurocomputing 470 (2022)
M. A. Castán-Lascorz, P. Jiménez-Herrera, Alicia Troncoso Lora, Gualberto Asencio-Cortés
A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting. Inf. Sci. 586 (2022)
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso Lora
Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming. CAEPIA (2021)
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
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model. Big Data 8 (4) (2020)
Rubén Pérez-Chacón, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso Lora
Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand. Inf. Sci. 540 (2020)
Antonio M. Fernández, David Gutiérrez-Avilés, Alicia Troncoso Lora, Francisco Martínez-Álvarez
Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration. Big Data Res. (2020)
Antonio Galicia, Ricardo L. Talavera-Llames, Alicia Troncoso Lora, Irena Koprinska, Francisco Martínez-Álvarez
Multi-step forecasting for big data time series based on ensemble learning. Knowl. Based Syst. 163 (2019)
Antonio Galicia, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso Lora
A novel spark-based multi-step forecasting algorithm for big data time series. Inf. Sci. 467 (2018)
Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, Alicia Troncoso Lora, Francisco Martínez-Álvarez
Big data time series forecasting based on nearest neighbours distributed computing with Spark. Knowl. Based Syst. 161 (2018)
José F. Torres, Antonio Galicia, Alicia Troncoso Lora, Francisco Martínez-Álvarez
A scalable approach based on deep learning for big data time series forecasting. Integr. Comput. Aided Eng. 25 (4) (2018)
Alicia Troncoso Lora, P. Ribera, Gualberto Asencio-Cortés, I. Vega, D. Gallego
Imbalanced classification techniques for monsoon forecasting based on a new climatic time series. Environ. Model. Softw. 106 (2018)
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, A. Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora
Using principal component analysis to improve earthquake magnitude prediction in Japan. Log. J. IGPL 25 (6) (2017)
José F. Torres, Antonio M. Fernández, Alicia Troncoso Lora, Francisco Martínez-Álvarez
Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load. IWINAC (2) (2017)
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso Lora, A. Morales-Esteban
Medium-large earthquake magnitude prediction in Tokyo with artificial neural networks. Neural Comput. Appl. 28 (5) (2017)
María Martínez-Ballesteros, Alicia Troncoso Lora, Francisco Martínez-Álvarez, José C. Riquelme
Improving a multi-objective evolutionary algorithm to discover quantitative association rules. Knowl. Inf. Syst. 49 (2) (2016)
Rubén Pérez-Chacón, Ricardo L. Talavera-Llames, Francisco Martínez-Álvarez, Alicia Troncoso Lora
Finding Electric Energy Consumption Patterns in Big Time Series Data. DCAI (2016)
María Martínez-Ballesteros, Jaume Bacardit, Alicia Troncoso Lora, José C. Riquelme
Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets. Integr. Comput. Aided Eng. 22 (1) (2015)
Juan A. Nepomuceno, Alicia Troncoso Lora, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
Integrating biological knowledge based on functional annotations for biclustering of gene expression data. Comput. Methods Programs Biomed. 119 (3) (2015)
Alicia Troncoso Lora, Marta Arias, José C. Riquelme
A multi-scale smoothing kernel for measuring time-series similarity. Neurocomputing 167 (2015)
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso Lora, Antonio Bahamonde
A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments. Knowl. Based Syst. 85 (2015)
Jorge García-Gutiérrez, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables. Neurocomputing 167 (2015)
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Antonio Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora
Improving Earthquake Prediction with Principal Component Analysis: Application to Chile. HAIS (2015)
María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
Selecting the best measures to discover quantitative association rules. Neurocomputing 126 (2014)
Mashud Rana, Irena Koprinska, Alicia Troncoso Lora
Forecasting hourly electricity load profile using neural networks. IJCNN (2014)
María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
ra A Sensitivity Analysis for Quality Measures of Quantitative Association Rules. HAIS (2013)
Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, Francisco Martínez-Álvarez
Combining pattern sequence similarity with neural networks for forecasting electricity demand time series. IJCNN (2013)
Jorge García-Gutiérrez, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study. SOCO-CISIS-ICEUTE (2013)
Marta Arias, Alicia Troncoso Lora, José C. Riquelme
A Kernel for Time Series Classification: Application to Atmospheric Pollutants. SOCO (2012)
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz
Inferring gene coexpression networks with Biclustering based on Scatter Search. ISDA (2011)
María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
An evolutionary algorithm to discover quantitative association rules in multidimensional time series. Soft Comput. 15 (10) (2011)
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme, Jesús S. Aguilar-Ruiz
Discovery of motifs to forecast outlier occurrence in time series. Pattern Recognit. Lett. 32 (12) (2011)
Francisco Martínez-Álvarez, Alicia Troncoso Lora, A. Morales-Esteban, José C. Riquelme
Computational Intelligence Techniques for Predicting Earthquakes. HAIS (2) (2011)
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme, Jesús S. Aguilar-Ruiz
Energy Time Series Forecasting Based on Pattern Sequence Similarity. IEEE Trans. Knowl. Data Eng. 23 (8) (2011)
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz
A local search in Scatter Search for improving Biclusters. NaBIC (2011)
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz
Biclustering of Gene Expression Data by Correlation-Based Scatter Search. BioData Min. 4 (2011)
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz
Correlation-Based Scatter Search for Discovering Biclusters from Gene Expression Data. EvoBIO (2010)
A. Morales-Esteban, Francisco Martínez-Álvarez, Alicia Troncoso Lora, J. L. Justo, Cristina Rubio-Escudero
Pattern recognition to forecast seismic time series. Expert Syst. Appl. 37 (12) (2010)
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz
Evolutionary metaheuristic for biclustering based on linear correlations among genes. SAC (2010)
María Martínez-Ballesteros, Alicia Troncoso Lora, Francisco Martínez-Álvarez, José C. Riquelme
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution. Integr. Comput. Aided Eng. 17 (3) (2010)
María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
Quantitative Association Rules Applied to Climatological Time Series Forecasting. IDEAL (2009)
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz
An Overlapping Control-Biclustering Algorithm from Gene Expression Data ISDA (2009)
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences. IDA (2009)
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz
A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms. PRIB (2009)
Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz, Jesús Manuel Riquelme-Santos
Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production. Eur. J. Oper. Res. 185 (3) (2008)
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme, Jesús S. Aguilar-Ruiz
LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series. ICDM (2008)
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines. CBMS (2007)
Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, Jorge García-Gutiérrez
Biclusters Evaluation Based on Shifting and Scaling Patterns. IDEAL (2007)
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús Manuel Riquelme-Santos
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series. IDEAL (2007)
Alicia Troncoso Lora
Advances in optimization and prediction techniques: Real-world applications. AI Commun. 19 (3) (2006)
Alicia Troncoso Lora, Jesús Manuel Riquelme-Santos, José Cristóbal Riquelme Santos, Antonio Gómez Expósito, José Luís Martínez Ramos
Time-Series Prediction: Application to the Short-Term Electric Energy Demand. CAEPIA (2003)
Alicia Troncoso Lora, José Cristóbal Riquelme Santos, José Luís Martínez Ramos, Jesús Manuel Riquelme-Santos, Antonio Gómez Expósito
Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production. EPIA (2003)
Alicia Troncoso Lora, José Cristóbal Riquelme Santos, José Luís Martínez Ramos, Jesús Manuel Riquelme-Santos, Antonio Gómez Expósito
Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production. CAEPIA (2003)
Alicia Troncoso Lora, Jesús Manuel Riquelme-Santos, José Cristóbal Riquelme Santos, Antonio Gómez Expósito, José Luís Martínez Ramos
A Comparison of Two Techniques for Next-Day Electricity Price Forecasting. IDEAL (2002)
Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús Manuel Riquelme-Santos, José Luís Martínez Ramos, Antonio Gómez Expósito
Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance k Nearest Neighbours. DEXA (2002)