default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAlicia Troncoso Lora
Alicia Troncoso
Person information
- affiliation: Pablo de Olavide University, Sevilla, Spain
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[e18]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:
Hybrid Artificial Intelligent Systems - 19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14857, Springer 2025, ISBN 978-3-031-74182-1 [contents]- [e17]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:
Hybrid Artificial Intelligent Systems - 19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14858, Springer 2025, ISBN 978-3-031-74185-2 [contents] - 2024
- [j54]A. Gil-Gamboa, Pilar Paneque, Oscar Trull, Alicia Troncoso:
Medium-term water consumption forecasting based on deep neural networks. Expert Syst. Appl. 247: 123234 (2024) - [j53]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: 397-412 (2024) - [j52]Laura Melgar-García, Alicia Troncoso:
A novel incremental ensemble learning for real-time explainable forecasting of electricity price. Knowl. Based Syst. 305: 112574 (2024) - [c64]Angela del Robledo Troncoso-García, Manuel Jesús Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso:
Ground-Level Ozone Forecasting Using Explainable Machine Learning. CAEPIA 2024: 71-80 - [c63]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: 121-130 - [e16]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:
Advances in Artificial Intelligence - 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, A Coruña, Spain, June 19-21, 2024, Proceedings. Lecture Notes in Computer Science 14640, Springer 2024, ISBN 978-3-031-62798-9 [contents] - 2023
- [j51]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: 108387 (2023) - [j50]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): 3661-3679 (2023) - [j49]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): 106326 (2023) - [j48]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): 255-270 (2023) - [j47]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: 169-180 (2023) - [j46]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: 163-173 (2023) - [j45]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: 101401 (2023) - [j44]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): 11078-11100 (2023) - [c62]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: 358-367 - [c61]Laura Melgar-García, Maryam Hosseini, Alicia Troncoso:
Identification of Anomalies in Urban Sound Data with Autoencoders. HAIS 2023: 27-38 - [c60]E. Tefera, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez:
A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia. HAIS 2023: 207-218 - [c59]A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora:
Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals. IWANN (1) 2023: 626-637 - [c58]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: 433-436 - [c57]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: 121-131 - [c56]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: 229-238 - [e15]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:
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. Lecture Notes in Networks and Systems 532, Springer 2023, ISBN 978-3-031-18408-6 [contents] - [e14]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:
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. Lecture Notes in Networks and Systems 748, Springer 2023, ISBN 978-3-031-42518-9 [contents] - [e13]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:
Hybrid Artificial Intelligent Systems - 18th International Conference, HAIS 2023, Salamanca, Spain, September 5-7, 2023, Proceedings. Lecture Notes in Computer Science 14001, Springer 2023, ISBN 978-3-031-40724-6 [contents] - [e12]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:
17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) - Salamanca, Spain, September 5-7, 2022, Proceedings. Lecture Notes in Networks and Systems 531, Springer 2023, ISBN 978-3-031-18049-1 [contents] - [e11]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:
18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) - Salamanca, Spain, September 5-7, 2023, Proceedings, Volume 1. Lecture Notes in Networks and Systems 749, Springer 2023, ISBN 978-3-031-42528-8 [contents] - [e10]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:
18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) - Salamanca, Spain, September 5-7, 2023, Proceedings, Volume 2. Lecture Notes in Networks and Systems 750, Springer 2023, ISBN 978-3-031-42535-6 [contents] - 2022
- [j43]R. Mortazavi, S. Mortazavi, Alicia Troncoso:
Wrapper-based feature selection using regression trees to predict intrinsic viscosity of polymer. Eng. Comput. 38(3): 2553-2565 (2022) - [j42]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: 278-279 (2022) - [j41]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: 268-278 (2022) - [j40]Miguel Ángel 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: 611-627 (2022) - [j39]José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso:
A deep LSTM network for the Spanish electricity consumption forecasting. Neural Comput. Appl. 34(13): 10533-10545 (2022) - [c55]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: 274-285 - [c54]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: 1-8 - [c53]A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso:
Explainable machine learning for sleep apnea prediction. KES 2022: 2930-2939 - [c52]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: 1148-1151 - [c51]Juan Alberto Gallardo-Gómez, Federico Divina, Alicia Troncoso, Francisco Martínez-Álvarez:
Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem. SOCO 2022: 413-422 - [c50]Ejigu T. Habtermariam, Kula Kekeba, Alicia Troncoso, Francisco Martínez-Álvarez:
A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia. SOCO 2022: 423-432 - [e9]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:
Hybrid Artificial Intelligent Systems - 17th International Conference, HAIS 2022, Salamanca, Spain, September 5-7, 2022, Proceedings. Lecture Notes in Computer Science 13469, Springer 2022, ISBN 978-3-031-15470-6 [contents] - 2021
- [j38]José F. Torres, Dalil Hadjout, Abderrazak Sebaa, Francisco Martínez-Álvarez, Alicia Troncoso:
Deep Learning for Time Series Forecasting: A Survey. Big Data 9(1): 3-21 (2021) - [j37]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: 174-193 (2021) - [j36]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): 5409-5422 (2021) - [c49]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: 185-195 - [c48]José F. Torres, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso:
Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks. CAEPIA 2021: 216-225 - [c47]A. Melara, José F. Torres, Alicia Troncoso, Francisco Martínez-Álvarez:
Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning. SOCO 2021: 665-674 - [c46]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: 717-727 - [e8]Enrique Alba, Gabriel Luque, Francisco Chicano, Carlos Cotta, David Camacho, Manuel Ojeda-Aciego, Susana Montes, Alicia Troncoso, José C. Riquelme, Rodrigo Gil-Merino:
Advances in Artificial Intelligence - 19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020/2021, Málaga, Spain, September 22-24, 2021, Proceedings. Lecture Notes in Computer Science 12882, Springer 2021, ISBN 978-3-030-85712-7 [contents] - 2020
- [j35]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. 19-20: 100135 (2020) - [j34]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): 308-322 (2020) - [j33]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: 160-174 (2020) - [c45]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: 522-533 - [c44]Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso:
Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning. ICANN (1) 2020: 271-283 - [c43]Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso:
High-content screening images streaming analysis using the STriGen methodology. SAC 2020: 537-539 - [c42]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: 226-236 - [e7]Francisco Martínez-Álvarez, Alicia Troncoso Lora, José António Sáez Muñoz, Héctor Quintián, Emilio Corchado:
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. Advances in Intelligent Systems and Computing 951, Springer 2020, ISBN 978-3-030-20004-6 [contents] - [e6]Francisco Martínez-Álvarez, Alicia Troncoso Lora, José António Sáez Muñoz, Héctor Quintián, Emilio Corchado:
14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) - Seville, Spain, May 13-15, 2019, Proceedings. Advances in Intelligent Systems and Computing 950, Springer 2020, ISBN 978-3-030-20054-1 [contents] - [i2]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 abs/2003.13633 (2020)
2010 – 2019
- 2019
- [j32]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: 120840-120856 (2019) - [j31]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) - [j30]Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado:
Special issue on Hybrid Artificial Intelligence Systems from HAIS 2016 Conference. Neurocomputing 353: 1-2 (2019) - [j29]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: 56-73 (2019) - [j28]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: 830-841 (2019) - [c41]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: 340-348 - [c40]Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso:
Pattern Sequence Neural Network for Solar Power Forecasting. ICONIP (5) 2019: 727-737 - [c39]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: 259-269 - [c38]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: 91-100 - 2018
- [j27]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): 4:1-4:19 (2018) - [j26]Alicia Troncoso Lora, P. Ribera, Gualberto Asencio-Cortés, Inmaculada Vega, D. Gallego:
Imbalanced classification techniques for monsoon forecasting based on a new climatic time series. Environ. Model. Softw. 106: 48-56 (2018) - [j25]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): 335-348 (2018) - [j24]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: 800-818 (2018) - [j23]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: 12-25 (2018) - [c37]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: 120-130 - [c36]Zheng Wang, Irena Koprinska, Alicia Troncoso, Francisco Martínez-Álvarez:
Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting. IJCNN 2018: 1-8 - [c35]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: 123-133 - [c34]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: 553-561 - [e5]Francisco Herrera, Sergio Damas, Rosana Montes, Sergio Alonso, Oscar Cordón, Antonio González, Alicia Troncoso:
Advances in Artificial Intelligence - 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Granada, Spain, October 23-26, 2018, Proceedings. Lecture Notes in Computer Science 11160, Springer 2018, ISBN 978-3-030-00373-9 [contents] - [i1]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 abs/1810.11624 (2018) - 2017
- [j22]Francisco Martínez-Álvarez, Alicia Troncoso, Jorge Reyes, María Martínez-Ballesteros, José C. Riquelme:
Applications of Computational Intelligence in Time Series. Comput. Intell. Neurosci. 2017: 9361749:1-9361749:2 (2017) - [j21]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): 949-966 (2017) - [j20]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: 79-87 (2017) - [j19]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): 1043-1055 (2017) - [c33]Antonio Galicia, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso:
Scalable Forecasting Techniques Applied to Big Electricity Time Series. IWANN (2) 2017: 165-175 - [c32]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: 203-212 - 2016
- [j18]María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez, José C. Riquelme:
Obtaining optimal quality measures for quantitative association rules. Neurocomputing 176: 36-47 (2016) - [j17]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): 481-509 (2016) - [j16]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): 4205-4216 (2016) - [c31]Antonio M. Fernández, José F. Torres, Alicia Troncoso, Francisco Martínez-Álvarez:
Automated Spark Clusters Deployment for Big Data with Standalone Applications Integration. CAEPIA 2016: 150-159 - [c30]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: 231-238 - [c29]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: 174-185 - [c28]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: 685-693 - [c27]Mashud Rana, Irena Koprinska, Alicia Troncoso, Vassilios G. Agelidis:
Extended Weighted Nearest Neighbor for Electricity Load Forecasting. ICANN (2) 2016: 299-307 - [e4]Oscar Luaces, José A. Gámez, Edurne Barrenechea, Alicia Troncoso, Mikel Galar, Héctor Quintián, Emilio Corchado:
Advances in Artificial Intelligence - 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings. Lecture Notes in Computer Science 9868, Springer 2016, ISBN 978-3-319-44635-6 [contents] - [e3]Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado:
Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings. Lecture Notes in Computer Science 9648, Springer 2016, ISBN 978-3-319-32033-5 [contents] - 2015
- [j15]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: 637-651 (2015) - [j14]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): 163-180 (2015) - [j13]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): 21-39 (2015) - [j12]Alicia Troncoso Lora, Marta Arias, José C. Riquelme:
A multi-scale smoothing kernel for measuring time-series similarity. Neurocomputing 167: 8-17 (2015) - [j11]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: 24-31 (2015) - [j10]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: 322-328 (2015) - [c26]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: 393-404 - [c25]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: 273-279 - [c24]Emilio Florido, O. Castaño, Alicia Troncoso, Francisco Martínez-Álvarez:
Data Mining for Predicting Traffic Congestion and Its Application to Spanish Data. SOCO 2015: 341-351 - [e2]José Miguel Puerta, José A. Gámez, Bernabé Dorronsoro, Edurne Barrenechea, Alicia Troncoso, Bruno Baruque, Mikel Galar:
Advances in Artificial Intelligence - 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015, Albacete, Spain, November 9-12, 2015, Proceedings. Lecture Notes in Computer Science 9422, Springer 2015, ISBN 978-3-319-24597-3 [contents] - 2014
- [j9]María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme:
Selecting the best measures to discover quantitative association rules. Neurocomputing 126: 3-14 (2014) - [c23]Mashud Rana, Irena Koprinska, Alicia Troncoso Lora:
Forecasting hourly electricity load profile using neural networks. IJCNN 2014: 824-831 - 2013
- [c22]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: 578-587 - [c21]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: 1-8 - [c20]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: 249-258 - [e1]Concha Bielza, Antonio Salmerón, Amparo Alonso-Betanzos, José Ignacio Hidalgo, Luis Martínez-López, Alicia Troncoso Lora, Emilio Corchado, Juan M. Corchado:
Advances in Artificial Intelligence - 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, Madrid, Spain, September 17-20, 2013. Proceedings. Lecture Notes in Computer Science 8109, Springer 2013, ISBN 978-3-642-40642-3 [contents] - 2012
- [c19]Marta Arias, Alicia Troncoso Lora, José C. Riquelme:
A Kernel for Time Series Classification: Application to Atmospheric Pollutants. SOCO 2012: 417-426 - 2011
- [j8]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
Biclustering of Gene Expression Data by Correlation-Based Scatter Search. BioData Min. 4: 3 (2011) - [j7]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): 1652-1665 (2011) - [j6]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): 2065-2084 (2011) - [j5]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): 1230-1243 (2011) - [c18]Francisco Martínez-Álvarez, Alicia Troncoso Lora, A. Morales-Esteban, José C. Riquelme:
Computational Intelligence Techniques for Predicting Earthquakes. HAIS (2) 2011: 287-294 - [c17]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
Inferring gene coexpression networks with Biclustering based on Scatter Search. ISDA 2011: 1091-1096 - [c16]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
A local search in Scatter Search for improving Biclusters. NaBIC 2011: 521-526 - 2010
- [j4]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): 8333-8342 (2010) - [j3]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): 227-242 (2010) - [c15]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
Correlation-Based Scatter Search for Discovering Biclusters from Gene Expression Data. EvoBIO 2010: 122-133 - [c14]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
Evolutionary metaheuristic for biclustering based on linear correlations among genes. SAC 2010: 1143-1147
2000 – 2009
- 2009
- [c13]Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme:
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences. IDA 2009: 357-368 - [c12]María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme:
Quantitative Association Rules Applied to Climatological Time Series Forecasting. IDEAL 2009: 284-291 - [c11]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
An Overlapping Control-Biclustering Algorithm from Gene Expression Data. ISDA 2009: 1239-1244 - [c10]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms. PRIB 2009: 199-210 - 2008
- [j2]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): 1114-1127 (2008) - [c9]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: 453-461 - 2007
- [c8]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: 141-146 - [c7]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, Jorge García-Gutiérrez:
Biclusters Evaluation Based on Shifting and Scaling Patterns. IDEAL 2007: 840-849 - [c6]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: 990-999 - 2006
- [j1]Alicia Troncoso Lora:
Advances in optimization and prediction techniques: Real-world applications. AI Commun. 19(3): 295-297 (2006) - 2003
- [c5]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: 577-586 - [c4]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: 656-665 - [c3]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: 189-203 - 2002
- [c2]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: 321-330 - [c1]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: 384-390
Coauthor Index
Francisco J. Martínez de Pisón Ascacibar
aka: Francisco Javier Martínez de Pisón
aka: Francisco Javier Martínez de Pisón
Emilio Corchado
aka: Emilio S. Corchado Rodríguez
aka: Emilio S. Corchado Rodríguez
[e18] [e17] [j53] [c64] [c63] [j51] [j50] [j47] [j45] [j44] [c60] [c59] [c58] [c57] [c56] [e15] [e14] [e13] [e12] [e11] [e10] [j42] [j41] [j39] [c55] [c53] [c52] [c51] [c50] [e9] [j38] [c48] [c47] [c46] [j35] [j34] [j33] [c42] [e7] [e6] [i2] [j32] [j31] [j30] [j29] [j28] [c41] [c39] [c38] [j25] [j24] [j23] [c37] [c36] [c35] [c34] [j22] [j21] [j19] [c33] [c32] [j18] [j17] [j16] [c31] [c30] [c29] [e3] [j11] [c26] [c24] [j9] [c22] [c21] [c20] [j7] [j6] [j5] [c18] [j4] [j3] [c13] [c12] [c9] [c8] [c6]
José Cristóbal Riquelme Santos
aka: José C. Riquelme
aka: José C. Riquelme
José F. Torres
aka: José Francisco Torres
aka: José Francisco Torres
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 22:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
