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David Gutiérrez-Avilés
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2020 – today
- 2024
- [c17]Francesc Rodríguez-Díaz
, José Francisco Torres
An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines. CAEPIA 2024: 121-130 - [c16]David Gutiérrez-Avilés
An evolutionary triclustering approach to discover electricity consumption patterns in France. SAC 2024: 386-394 - 2023
- [j13]Laura Melgar-García
Identifying novelties and anomalies for incremental learning in streaming time series forecasting. Eng. Appl. Artif. Intell. 123(Part B): 106326 (2023) - [j12]Pedro Lara-Benítez, Manuel Carranza-García
Data streams classification using deep learning under different speeds and drifts. Log. J. IGPL 31(4): 688-700 (2023) - [j11]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) - [j10]Antonio M. Fernández-Gómez, David Gutiérrez-Avilés, Alicia Troncoso
A new Apache Spark-based framework for big data streaming forecasting in IoT networks. J. Supercomput. 79(10): 11078-11100 (2023) - [c15]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 - [c14]Manuel Jesús Jiménez-Navarro
Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting. SOCO (1) 2023: 209-218 - 2022
- [j9]Kien-Trinh Thi Bui
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm. Comput. Aided Civ. Infrastructure Eng. 37(11): 1368-1386 (2022) - [j8]Laura Melgar-García, David Gutiérrez-Avilés, Maria Teresa Godinho
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture. Neurocomputing 500: 268-278 (2022) - [c13]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 - 2021
- [j7]José L. Amaro-Mellado
Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach. Comput. Geosci. 150: 104736 (2021) - [j6]Laura Melgar-García
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach. Inf. Sci. 558: 174-193 (2021) - [c12]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 - [c11]José María Luna-Romera
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology. SOCO 2021: 706-716 - 2020
- [j5]Antonio M. Fernández, David Gutiérrez-Avilés
Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration. Big Data Res. 19-20: 100135 (2020) - [j4]Francisco Martínez-Álvarez
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model. Big Data 8(4): 308-322 (2020) - [c10]Laura Melgar-García
High-content screening images streaming analysis using the STriGen methodology. SAC 2020: 537-539 - [c9]Laura Melgar-García
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering. SOCO 2020: 226-236 - [i1]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
- [c8]José F. Torres
Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting. IWANN (1) 2019: 259-269 - [c7]Antonio M. Fernández, David Gutiérrez-Avilés
Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks. SOCO 2019: 91-100 - 2018
- [j3]David Gutiérrez-Avilés
TRIQ: a new method to evaluate triclusters. BioData Min. 11(1): 15:1-15:29 (2018) - [c6]David Gutiérrez-Avilés
SmartFD: A Real Big Data Application for Electrical Fraud Detection. HAIS 2018: 120-130 - 2016
- [c5]David Gutiérrez-Avilés
TRIQ: A Comprehensive Evaluation Measure for Triclustering Algorithms. HAIS 2016: 673-684 - 2015
- [j2]Francisco Martínez-Álvarez
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula. Entropy 17(7): 5000-5021 (2015) - 2014
- [j1]David Gutiérrez-Avilés
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data. Neurocomputing 132: 42-53 (2014) - [c4]David Gutiérrez-Avilés
LSL: A new measure to evaluate triclusters. BIBM 2014: 30-37 - 2011
- [c3]David Gutiérrez-Avilés
Unravelling the Yeast Cell Cycle Using the TriGen Algorithm. CAEPIA 2011: 155-163 - [c2]David Gutiérrez-Avilés
Triclustering on temporary microarray data using the TriGen algorithm. ISDA 2011: 877-881 - [c1]David Gutiérrez-Avilés
Revisiting the yeast cell cycle problem with the improved TriGen algorithm. NaBIC 2011: 515-520
Coauthor Index
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