Alicia Troncoso

82 papers B 2Misc 11Journal 39Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Quantum Machine Learning: Foundations, Algorithms, Frameworks, Data and Applications. ACM Comput. Surv. Francesc Rodríguez-Díaz, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2026	J	`jnl`	Bridging training and merging through momentum-aware optimization. Inf. Sci. Alireza Moayedikia, Alicia Troncoso
2026	J	`jnl`	Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits. CoRR D. Martín-Pérez, Francesc Rodríguez-Díaz, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2026	J	`jnl`	Quantifying Gate Contribution in Quantum Feature Maps for Scalable Circuit Optimization. CoRR Francesc Rodríguez-Díaz, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2025	J	`jnl`	A New Metric Based on Association Rules to Assess Feature-Attribution Explainability Techniques for Time Series Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. Angela del Robledo Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso
2025	J	`jnl`	A multimodal hybrid deep learning approach for pest forecasting using time series and satellite images. Inf. Fusion Andrés Manuel Chacón-Maldonado, Gualberto Asencio-Cortés, Alicia Troncoso
2025	J	`jnl`	A novel approach based on clustering and optimized ensemble deep learning for energy consumption forecasting in Ethiopia. Neurocomputing E. Tefera Habtemariam, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
2025	J	`jnl`	A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting. Neural Comput. Appl. Andrés Manuel Chacón-Maldonado, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso
2025	Misc	`conf`	Bioinspired evolutionary metaheuristic based on COVID spread for discovering numerical association rules. SAC Cristina Herruzo-Lodeiro, Francesc Rodríguez-Díaz, Alicia Troncoso, María Martínez-Ballesteros
2025	J	`jnl`	Bridging Training and Merging Through Momentum-Aware Optimization. CoRR Alireza Moayedikia, Alicia Troncoso
2025	—	`conf`	Comparison of Explainable Machine Learning Methods for Early Prediction of Student Performance in Programming Courses. AIED Companion (2) Ziwei Wang, Irena Koprinska, María Martínez-Ballesteros, Alicia Troncoso, Bryn Jeffries
2025	J	`jnl`	Energy-efficient transfer learning for water consumption forecasting. Sustain. Comput. Informatics Syst. A. Gil-Gamboa, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
2025	J	`jnl`	Online forecasting using neighbor-based incremental learning for electricity markets. Neural Comput. Appl. Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2024	J	`jnl`	A novel incremental ensemble learning for real-time explainable forecasting of electricity price. Knowl. Based Syst. Laura Melgar-García, Alicia Troncoso
2024	—	`ed.`	Advances in Artificial Intelligence - 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, A Coruña, Spain, June 19-21, 2024, Proceedings CAEPIA Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Verónica Bolón-Canedo, Elena Hernández-Pereira, Oscar Fontenla-Romero, David Camacho, Juan Ramón Rabuñal, Manuel Ojeda-Aciego, Jesús Medina, José C. Riquelme, Alicia Troncoso
2024	—	`conf`	An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines. CAEPIA Francesc Rodríguez-Díaz, José Francisco Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2024	J	`jnl`	From simple to complex: a sequential method for enhancing time series forecasting with deep learning. Log. J. IGPL M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso, Gualberto Asencio-Cortés
2024	—	`conf`	Ground-Level Ozone Forecasting Using Explainable Machine Learning. CAEPIA Angela del Robledo Troncoso-García, Manuel Jesús Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso
2024	J	`jnl`	Medium-term water consumption forecasting based on deep neural networks. Expert Syst. Appl. A. Gil-Gamboa, Pilar Paneque, Oscar Trull, Alicia Troncoso
2023	Misc	`conf`	A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia. HAIS E. Tefera, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
2023	J	`jnl`	A new Apache Spark-based framework for big data streaming forecasting in IoT networks. J. Supercomput. Antonio M. Fernández-Gómez, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2023	J	`jnl`	A new approach based on association rules to add explainability to time series forecasting models. Inf. Fusion A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso
2023	J	`jnl`	A novel distributed forecasting method based on information fusion and incremental learning for streaming time series. Inf. Fusion Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2023	J	`jnl`	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 Laura Melgar-García, Francisco Martínez-Álvarez, Dieu Tien Bui, Alicia Troncoso
2023	—	`conf`	Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python. CISIS-ICEUTE Laura Melgar-García, Angela Troncoso-García, David Gutiérrez-Avilés, José Francisco Torres, Alicia Troncoso
2023	J	`jnl`	Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting. Comput. Electron. Agric. A. R. Troncoso-García, Isabel Brito, Alicia Troncoso, Francisco Martínez-Álvarez
2023	J	`jnl`	FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer. SoftwareX Andrés Manuel Chacón-Maldonado, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso
2023	Misc	`conf`	Identification of Anomalies in Urban Sound Data with Autoencoders. HAIS Laura Melgar-García, Maryam Hosseini, Alicia Troncoso
2023	J	`jnl`	Identifying novelties and anomalies for incremental learning in streaming time series forecasting. Eng. Appl. Artif. Intell. Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2023	—	`conf`	Machine Learning Approaches for Predicting Tree Growth Trends Based on Basal Area Increment. SOCO (1) Pablo Casas-Gómez, Francisco Martínez-Álvarez, Alicia Troncoso, Juan Carlos Linares
2023	—	`conf`	Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning. SOCO (2) Andrés Manuel Chacón-Maldonado, A. R. Troncoso-García, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, Alicia Troncoso
2022	—	`conf`	A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia. SOCO Ejigu T. Habtermariam, Kula Kekeba Tune, Alicia Troncoso, Francisco Martínez-Álvarez
2022	J	`jnl`	A deep LSTM network for the Spanish electricity consumption forecasting. Neural Comput. Appl. José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
2022	J	`jnl`	A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture. Neurocomputing Laura Melgar-García, David Gutiérrez-Avilés, Maria Teresa Godinho, Rita Espada, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
2022	Misc	`conf`	A novel approach to discover numerical association based on the coronavirus optimization algorithm. SAC C. Segarra-Martín, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
2022	—	`conf`	Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem. SOCO Juan Alberto Gallardo-Gómez, Federico Divina, Alicia Troncoso, Francisco Martínez-Álvarez
2022	B	`conf`	Explainable machine learning for sleep apnea prediction. KES A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso
2022	—	`conf`	Nearest neighbors with incremental learning for real-time forecasting of electricity demand. ICDM (Workshops) Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2022	Misc	`conf`	Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning. HAIS Andrés Manuel Chacón-Maldonado, Miguel Angel Molina-Cabanillas, Alicia Troncoso, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2022	J	`jnl`	Wrapper-based feature selection using regression trees to predict intrinsic viscosity of polymer. Eng. Comput. R. Mortazavi, S. Mortazavi, Alicia Troncoso
2021	—	`ed.`	Advances in Artificial Intelligence - 19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020/2021, Málaga, Spain, September 22-24, 2021, Proceedings CAEPIA Enrique Alba, Gabriel Luque, Francisco Chicano, Carlos Cotta, David Camacho, Manuel Ojeda-Aciego, Susana Montes, Alicia Troncoso, José C. Riquelme, Rodrigo Gil-Merino
2021	J	`jnl`	Deep Learning for Time Series Forecasting: A Survey. Big Data José F. Torres, Dalil Hadjout, Abderrazak Sebaa, Francisco Martínez-Álvarez, Alicia Troncoso
2021	J	`jnl`	Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach. Inf. Sci. Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2021	—	`conf`	Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks. CAEPIA José F. Torres, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso
2021	—	`conf`	Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning. SOCO A. Melara, José F. Torres, Alicia Troncoso, Francisco Martínez-Álvarez
2021	—	`conf`	HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting. SOCO M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso, Gualberto Asencio-Cortés
2021	J	`jnl`	Time-Series Clustering Based on the Characterization of Segment Typologies. IEEE Trans. Cybern. David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Alicia Troncoso, César Hervás-Martínez
2020	Misc	`conf`	A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series. HAIS P. Jiménez-Herrera, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso
2020	J	`jnl`	Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model. CoRR 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
2020	—	`conf`	Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering. SOCO Laura Melgar-García, Maria Teresa Godinho, Rita Espada, David Gutiérrez-Avilés, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
2020	Misc	`conf`	High-content screening images streaming analysis using the STriGen methodology. SAC Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2020	—	`conf`	Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning. ICANN (1) Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso
2019	J	`jnl`	A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System. IEEE Access Catalina Gomez-Quiles, Gualberto Asencio-Cortés, Adolfo Gastalver-Rubio, Francisco Martínez-Álvarez, Alicia Troncoso, Joan Manresa, José C. Riquelme, Jesús Manuel Riquelme-Santos
2019	J	`jnl`	Big data solar power forecasting based on deep learning and multiple data sources. Expert Syst. J. Knowl. Eng. José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
2019	—	`conf`	Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills. CISIS-ICEUTE Cristina Rubio-Escudero, Francisco Martínez-Álvarez, E. Atencia-Gil, Alicia Troncoso
2019	J	`jnl`	MV-kWNN: A novel multivariate and multi-output weighted nearest neighbours algorithm for big data time series forecasting. Neurocomputing Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, Alicia Troncoso, Francisco Martínez-Álvarez
2019	—	`conf`	Pattern Sequence Neural Network for Solar Power Forecasting. ICONIP (5) Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso
2019	—	`conf`	Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting. IWANN (1) José F. Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2019	—	`conf`	Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks. SOCO Antonio M. Fernández, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2019	J	`jnl`	Special issue on Hybrid Artificial Intelligence Systems from HAIS 2016 Conference. Neurocomputing Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado
2018	—	`ed.`	Advances in Artificial Intelligence - 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Granada, Spain, October 23-26, 2018, Proceedings CAEPIA Francisco Herrera, Sergio Damas, Rosana Montes, Sergio Alonso, Oscar Cordón, Antonio González, Alicia Troncoso
2018	—	`conf`	Deep Learning for Big Data Time Series Forecasting Applied to Solar Power. SOCO-CISIS-ICEUTE José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
2018	—	`conf`	Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses. SOCO-CISIS-ICEUTE Cristina Rubio-Escudero, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso, José C. Riquelme
2018	J	`jnl`	Pairwise gene GO-based measures for biclustering of high-dimensional expression data. BioData Min. Juan A. Nepomuceno, Alicia Troncoso, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
2018	Misc	`conf`	SmartFD: A Real Big Data Application for Electrical Fraud Detection. HAIS David Gutiérrez-Avilés, J. A. Fábregas, J. Tejedor, Francisco Martínez-Álvarez, Alicia Troncoso, A. Arcos, José C. Riquelme
2018	B	`conf`	Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting. IJCNN Zheng Wang, Irena Koprinska, Alicia Troncoso, Francisco Martínez-Álvarez
2018	J	`jnl`	Time series clustering based on the characterisation of segment typologies. CoRR David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Alicia Troncoso, César Hervás-Martínez
2017	J	`jnl`	Applications of Computational Intelligence in Time Series. Comput. Intell. Neurosci. Francisco Martínez-Álvarez, Alicia Troncoso, Jorge Reyes, María Martínez-Ballesteros, José C. Riquelme
2017	J	`jnl`	Content-based methods in peer assessment of open-response questions to grade students as authors and as graders. Knowl. Based Syst. Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde
2017	—	`conf`	Scalable Forecasting Techniques Applied to Big Electricity Time Series. IWANN (2) Antonio Galicia, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
2016	Misc	`conf`	A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting. HAIS Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
2016	J	`jnl`	A novel methodology to predict urban traffic congestion with ensemble learning. Soft Comput. Gualberto Asencio-Cortés, Emilio Florido, Alicia Troncoso, Francisco Martínez-Álvarez
2016	—	`ed.`	Advances in Artificial Intelligence - 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings CAEPIA Oscar Luaces, José A. Gámez, Edurne Barrenechea, Alicia Troncoso, Mikel Galar, Héctor Quintián, Emilio Corchado
2016	—	`conf`	Automated Spark Clusters Deployment for Big Data with Standalone Applications Integration. CAEPIA Antonio M. Fernández, José F. Torres, Alicia Troncoso, Francisco Martínez-Álvarez
2016	Misc	`conf`	Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure. HAIS Juan A. Nepomuceno, Alicia Troncoso, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
2016	—	`conf`	Extended Weighted Nearest Neighbor for Electricity Load Forecasting. ICANN (2) Mashud Rana, Irena Koprinska, Alicia Troncoso, Vassilios G. Agelidis
2016	Misc	`ed.`	Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings HAIS Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado
2016	J	`jnl`	Obtaining optimal quality measures for quantitative association rules. Neurocomputing María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez, José C. Riquelme
2015	—	`ed.`	Advances in Artificial Intelligence - 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015, Albacete, Spain, November 9-12, 2015, Proceedings CAEPIA José M. Puerta, José A. Gámez, Bernabé Dorronsoro, Edurne Barrenechea, Alicia Troncoso, Bruno Baruque, Mikel Galar
2015	—	`conf`	Data Mining for Predicting Traffic Congestion and Its Application to Spanish Data. SOCO Emilio Florido, O. Castaño, Alicia Troncoso, Francisco Martínez-Álvarez
2015	—	`conf`	Including Content-Based Methods in Peer-Assessment of Open-Response Questions. ICDM Workshops Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde
2015	J	`jnl`	Scatter search-based identification of local patterns with positive and negative correlations in gene expression data. Appl. Soft Comput. Juan A. Nepomuceno, Alicia Troncoso, Jesús S. Aguilar-Ruiz