Alicia Troncoso
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
9
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AIED | Comparison of Explainable Machine Learning Methods for Early Prediction of Student Performance in Programming Courses. | Ziwei Wang, Irena Koprinska, Mara Martnez-Ballesteros, Alicia Troncoso, Bryn Jeffries |
| 2025 | SAC | Bioinspired evolutionary metaheuristic based on COVID spread for discovering numerical association rules. | Cristina Herruzo-Lodeiro, Francesc Rodrguez-Daz, Alicia Troncoso, Mara Martnez-Ballesteros |
| 2023 | HAIS | Identification of Anomalies in Urban Sound Data with Autoencoders. | Laura Melgar-Garca, Maryam Hosseini, Alicia Troncoso |
| 2023 | HAIS | A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia. | E. Tefera, Mara Martnez-Ballesteros, Alicia Troncoso, Francisco Martnez-lvarez |
| 2022 | HAIS | Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning. | Andrs Manuel Chacn-Maldonado, Miguel Angel Molina-Cabanillas, Alicia Troncoso, Francisco Martnez-lvarez, Gualberto Asencio-Corts |
| 2022 | ICDM | Nearest neighbors with incremental learning for real-time forecasting of electricity demand. | Laura Melgar-Garca, David Gutirrez-Avils, Cristina Rubio-Escudero, Alicia Troncoso |
| 2022 | KES | Explainable machine learning for sleep apnea prediction. | A. R. Troncoso-Garca, Mara Martnez-Ballesteros, Francisco Martnez-lvarez, Alicia Troncoso |
| 2022 | SAC | A novel approach to discover numerical association based on the coronavirus optimization algorithm. | C. Segarra-Martn, Mara Martnez-Ballesteros, Alicia Troncoso, Francisco Martnez-lvarez |
| 2020 | HAIS | A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series. | P. Jimnez-Herrera, Laura Melgar-Garca, Gualberto Asencio-Corts, Alicia Troncoso |
| 2020 | ICANN | Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning. | Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso |
| 2020 | SAC | High-content screening images streaming analysis using the STriGen methodology. | Laura Melgar-Garca, David Gutirrez-Avils, Cristina Rubio-Escudero, Alicia Troncoso |
| 2019 | ICONIP | Pattern Sequence Neural Network for Solar Power Forecasting. | Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso |
| 2019 | IWANN | Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting. | Jos F. Torres, David Gutirrez-Avils, Alicia Troncoso, Francisco Martnez-lvarez |
| 2018 | HAIS | SmartFD: A Real Big Data Application for Electrical Fraud Detection. | David Gutirrez-Avils, J. A. Fbregas, J. Tejedor, Francisco Martnez-lvarez, Alicia Troncoso, A. Arcos, Jos C. Riquelme |
| 2018 | IJCNN | Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting. | Zheng Wang, Irena Koprinska, Alicia Troncoso, Francisco Martnez-lvarez |
| 2017 | IWANN | Scalable Forecasting Techniques Applied to Big Electricity Time Series. | Antonio Galicia, Jos F. Torres, Francisco Martnez-lvarez, Alicia Troncoso |
| 2016 | HAIS | Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure. | Juan A. Nepomuceno, Alicia Troncoso, Isabel A. Nepomuceno-Chamorro, Jess S. Aguilar-Ruiz |
| 2016 | HAIS | A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting. | Ricardo L. Talavera-Llames, Rubn Prez-Chacn, Mara Martnez-Ballesteros, Alicia Troncoso, Francisco Martnez-lvarez |
| 2016 | ICANN | Extended Weighted Nearest Neighbor for Electricity Load Forecasting. | Mashud Rana, Irena Koprinska, Alicia Troncoso, Vassilios G. Agelidis |
| 2015 | ICDM | Including Content-Based Methods in Peer-Assessment of Open-Response Questions. | Oscar Luaces, Jorge Dez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde |