Fernández, Antonio M.;Gutiérrez-avilés, David;Troncoso-Lora, Alicia;Martínez-Álvarez, Francisco:
A new Apache Spark-based framework for big data streaming forecasting in IoT networks . Journal of Supercomputing. 2023. Vol: 79. Pág. 11078-11100. https://doi.org/10.1007/s11227-023-05100-x.
Melgar-garcía, Laura;Gutiérrez-avilés, David;Rubio-Escudero, Cristina;Troncoso-Lora, Alicia:
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series. Information Fusion. 2023. Vol: 95. Pág. 163-173. https://doi.org/10.1016/j.inffus.2023.02.023.
Torres, José Francisco;Gutiérrez-avilés, David;Martínez-Álvarez, Francisco;Bui, Dieu Tien:
Deformation forecasting of a hydropower dam by hybridizing a Long Short-Term Memory deep learning network with the Coronavirus Optimization Algorithm. Computer-Aided Civil and Infrastructure Engineering. 2022. Vol: 37. Núm: 11. Pág. 1368-1386. https://doi.org/10.1111/mice.12810.
Lara, Pedro;Manuel Carranza-García;Gutiérrez-avilés, David;Riquelme-Santos, José Cristóbal:
Data streams classification using deep learning under different speeds and drifts. Interest Group in Pure and Applied Logics. Logic Journal. 2022. https://doi.org/10.1093/jigpal/jzac033.
Melgar-garcía, Laura;Gutiérrez-avilés, David;Rubio-Escudero, Cristina;Troncoso-Lora, Alicia:
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach. Information Sciences. 2021. Vol: 558. Pág. 174-193. https://doi.org/10.1016/j.ins.2020.12.089.
Amaro-Mellado, José-Lázaro;Melgar-garcía, Laura;Rubio-Escudero, Cristina;Gutiérrez-avilés, David:
Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach. Computers & Geosciences. 2021. Vol: 150. 10.1016/j.cageo.2021.104736.
Martínez-Álvarez, Francisco;Asencio-Cortes, Gualberto;Torres, José Francisco;Gutiérrez-avilés, David;Melgar-garcía, Laura;Pérez , Rubén ;Rubio-Escudero, Cristina;Troncoso-Lora, Alicia;Riquelme-Santos, José Cristóbal:
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model. Big Data. 2020. Vol: 8. Núm: 4. Pág. 308-322. https://doi.org/10.1089/big.2020.0051.
Gutiérrez-avilés, David;Troncoso-Lora, Alicia;Martínez-Álvarez, Francisco:
Random Hyper-Parameter Search-Based Deep Neural Network for Power Consumption Forecasting. Lecture Notes in Computer Science. 2019. Vol: 11506. Pág. 259-269.
Gutiérrez-avilés, David;Rubio-Escudero, Cristina;Gil-cumbreras, Francisco Javier;Giráldez-Rojo, Raúl:
TRIQ: a new method to evaluate triclusters. BioData Mining. 2018. Vol: 11. Núm: 15. https://doi.org/10.1186/s13040-018-0177-5.
Gutiérrez-avilés, David;Fabregas, José Antonio;Tejedor, Javier ;Martínez-Álvarez, Francisco;Troncoso-Lora, Alicia;Arcos, Ángel;Riquelme-Santos, José Cristóbal:
SmartFD: A Real Big Data Application for Electrical Fraud Detection. Lecture Notes in Computer Science. 2018. Vol: 10870. Pág. 120-130.
Martínez-Álvarez, Francisco;Gutiérrez-avilés, David;Morales-Esteban, Antonio;Reyes, Jorge;Amaro-Mellado, José-Lázaro;Rubio-Escudero, Cristina:
A novel method for seismogenic zoning based on triclustering. Application to the Iberian Peninsula. Entropy : An International and Interdisciplinary Journal of Entropy and Information Studies. 2015. Vol: 17. Pág. 5000-5021. doi:10.3390/e17075000.
Gutiérrez Avilés-gutiérrez Avilés, David;Rubio-Escudero, Cristina:
MSL: A Measure to Evaluate Three-dimensional Patterns in Gene Expression Data. Evolutionary Bioinformatics. 2015. Vol: 11. Pág. 121-135. 10.4137/EBO.S25822.
Gutiérrez-avilés, David;Rubio-Escudero, Cristina:
Mining 3D Patterns from Gene Expression Temporal Data: A New Tricluster Evaluation Measure. The Scientific World Journal. 2014. Vol: 2014 (2014). Núm: 624371. http://dx.doi.org/10.1155/2014/624371.
Gutiérrez-avilés, David;Rubio-Escudero, Cristina;Martínez-Álvarez, Francisco;Riquelme-Santos, José Cristóbal:
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data. Neurocomputing. 2014. Vol: 132. Pág. 42-53. http://dx.doi.org/10.1016/j.neucom.2013.03.061.