Alicia Troncoso

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 61

Top Topics

Nearest Neighbour

Optimization Algorithm

Electricity Consumption

Top Venues

Publications

Angela Robledo Troncoso-García, Manuel Jesús Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso
Ground-Level Ozone Forecasting Using Explainable Machine Learning. CAEPIA (2024)
A. Gil-Gamboa, Pilar Paneque, Oscar Trull, Alicia Troncoso
Medium-term water consumption forecasting based on deep neural networks. Expert Syst. Appl. 247 (2024)
Francesc Rodríguez-Díaz, José Francisco Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines. CAEPIA (2024)
A. R. Troncoso-García, Isabel Brito, Alicia Troncoso, Francisco Martínez-Álvarez
Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting. Comput. Electron. Agric. 215 (2023)
Andrés Manuel Chacón-Maldonado, A. R. Troncoso-García, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, Alicia Troncoso
Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning. SOCO (2) (2023)
Laura Melgar-García, Francisco Martínez-Álvarez, Dieu Tien Bui, Alicia Troncoso
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 16 (1) (2023)
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
Identifying novelties and anomalies for incremental learning in streaming time series forecasting. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
Laura Melgar-García, Maryam Hosseini, Alicia Troncoso
Identification of Anomalies in Urban Sound Data with Autoencoders. HAIS (2023)
E. Tefera, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia. HAIS (2023)
Antonio M. Fernández-Gómez, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
A new Apache Spark-based framework for big data streaming forecasting in IoT networks. J. Supercomput. 79 (10) (2023)
Pablo Casas-Gómez, Francisco Martínez-Álvarez, Alicia Troncoso, Juan Carlos Linares
Machine Learning Approaches for Predicting Tree Growth Trends Based on Basal Area Increment. SOCO (1) (2023)
Andrés Manuel Chacón-Maldonado, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso
FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer. SoftwareX 23 (2023)
Laura Melgar-García, Angela Troncoso-García, David Gutiérrez-Avilés, José Francisco Torres, Alicia Troncoso
Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python. CISIS-ICEUTE (2023)
A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso
A new approach based on association rules to add explainability to time series forecasting models. Inf. Fusion 94 (2023)
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series. Inf. Fusion 95 (2023)
Laura Melgar-García, David Gutiérrez-Avilés, Maria Teresa Godinho, Rita Espada, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture. Neurocomputing 500 (2022)
A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso
Explainable machine learning for sleep apnea prediction. KES (2022)
R. Mortazavi, S. Mortazavi, Alicia Troncoso
Wrapper-based feature selection using regression trees to predict intrinsic viscosity of polymer. Eng. Comput. 38 (3) (2022)
C. Segarra-Martín, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
A novel approach to discover numerical association based on the coronavirus optimization algorithm. SAC (2022)
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
Nearest neighbors with incremental learning for real-time forecasting of electricity demand. ICDM (Workshops) (2022)
Andrés Manuel Chacón-Maldonado, Miguel Angel Molina-Cabanillas, Alicia Troncoso, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning. HAIS (2022)
José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
A deep LSTM network for the Spanish electricity consumption forecasting. Neural Comput. Appl. 34 (13) (2022)
Juan Alberto Gallardo-Gómez, Federico Divina, Alicia Troncoso, Francisco Martínez-Álvarez
Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem. SOCO (2022)
Ejigu T. Habtermariam, Kula Kekeba, Alicia Troncoso, Francisco Martínez-Álvarez
A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia. SOCO (2022)
José F. Torres, Dalil Hadjout, Abderrazak Sebaa, Francisco Martínez-Álvarez, Alicia Troncoso
Deep Learning for Time Series Forecasting: A Survey. Big Data 9 (1) (2021)
M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso, Gualberto Asencio-Cortés
HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting. SOCO (2021)
José F. Torres, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso
Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks. CAEPIA (2021)
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Alicia Troncoso, César Hervás-Martínez
Time-Series Clustering Based on the Characterization of Segment Typologies. IEEE Trans. Cybern. 51 (11) (2021)
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach. Inf. Sci. 558 (2021)
A. Melara, J. F. Torres, Alicia Troncoso, Francisco Martínez-Álvarez
Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning. SOCO (2021)
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
High-content screening images streaming analysis using the STriGen methodology. SAC (2020)
P. Jiménez-Herrera, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso
A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series. HAIS (2020)
Laura Melgar-García, Maria Teresa Godinho, Rita Espada, David Gutiérrez-Avilés, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering. SOCO (2020)
Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso
Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning. ICANN (1) (2020)
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
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model. CoRR (2020)
José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
Big data solar power forecasting based on deep learning and multiple data sources. Expert Syst. J. Knowl. Eng. 36 (4) (2019)
Cristina Rubio-Escudero, Francisco Martínez-Álvarez, E. Atencia-Gil, Alicia Troncoso
Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills. CISIS-ICEUTE (2019)
Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso
Pattern Sequence Neural Network for Solar Power Forecasting. ICONIP (5) (2019)
Catalina Gomez-Quiles, Gualberto Asencio-Cortés, Adolfo Gastalver-Rubio, Francisco Martínez-Álvarez, Alicia Troncoso, Joan Manresa, José C. Riquelme, Jesús Manuel Riquelme-Santos
A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System. IEEE Access 7 (2019)
Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, Alicia Troncoso, Francisco Martínez-Álvarez
MV-kWNN: A novel multivariate and multi-output weighted nearest neighbours algorithm for big data time series forecasting. Neurocomputing 353 (2019)
José F. Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting. IWANN (1) (2019)
Antonio M. Fernández, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks. SOCO (2019)
Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado
Special issue on Hybrid Artificial Intelligence Systems from HAIS 2016 Conference. Neurocomputing 353 (2019)
Cristina Rubio-Escudero, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso, José C. Riquelme
Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses. SOCO-CISIS-ICEUTE (2018)
José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
Deep Learning for Big Data Time Series Forecasting Applied to Solar Power. SOCO-CISIS-ICEUTE (2018)
David Gutiérrez-Avilés, J. A. Fábregas, J. Tejedor, Francisco Martínez-Álvarez, Alicia Troncoso, A. Arcos, José C. Riquelme
SmartFD: A Real Big Data Application for Electrical Fraud Detection. HAIS (2018)
Juan A. Nepomuceno, Alicia Troncoso, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
Pairwise gene GO-based measures for biclustering of high-dimensional expression data. BioData Min. 11 (1) (2018)
Zheng Wang, Irena Koprinska, Alicia Troncoso, Francisco Martínez-Álvarez
Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting. IJCNN (2018)
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Alicia Troncoso, César Hervás-Martínez
Time series clustering based on the characterisation of segment typologies. CoRR (2018)
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde
Content-based methods in peer assessment of open-response questions to grade students as authors and as graders. Knowl. Based Syst. 117 (2017)
Antonio Galicia, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
Scalable Forecasting Techniques Applied to Big Electricity Time Series. IWANN (2) (2017)
Francisco Martínez-Álvarez, Alicia Troncoso, Jorge Reyes, María Martínez-Ballesteros, José C. Riquelme
Applications of Computational Intelligence in Time Series. Comput. Intell. Neurosci. 2017 (2017)
Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting. HAIS (2016)
Gualberto Asencio-Cortés, Emilio Florido, Alicia Troncoso, Francisco Martínez-Álvarez
A novel methodology to predict urban traffic congestion with ensemble learning. Soft Comput. 20 (11) (2016)
Mashud Rana, Irena Koprinska, Alicia Troncoso, Vassilios G. Agelidis
Extended Weighted Nearest Neighbor for Electricity Load Forecasting. ICANN (2) (2016)
María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez, José C. Riquelme
Obtaining optimal quality measures for quantitative association rules. Neurocomputing 176 (2016)
Antonio M. Fernández, José F. Torres, Alicia Troncoso, Francisco Martínez-Álvarez
Automated Spark Clusters Deployment for Big Data with Standalone Applications Integration. CAEPIA (2016)
Juan A. Nepomuceno, Alicia Troncoso, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure. HAIS (2016)
Juan A. Nepomuceno, Alicia Troncoso, Jesús S. Aguilar-Ruiz
Scatter search-based identification of local patterns with positive and negative correlations in gene expression data. Appl. Soft Comput. 35 (2015)
Emilio Florido, O. Castaño, Alicia Troncoso, Francisco Martínez-Álvarez
Data Mining for Predicting Traffic Congestion and Its Application to Spanish Data. SOCO (2015)
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde
Including Content-Based Methods in Peer-Assessment of Open-Response Questions. ICDM Workshops (2015)