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Journal Articles

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2023
[j13]
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  - journals/eaai/Melgar-GarciaGR23
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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)
[j12]
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  - journals/igpl/LaraBenitezCGR23
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Pedro Lara-Benítez, Manuel Carranza-García, David Gutiérrez-Avilés, José C. Riquelme:
Data streams classification using deep learning under different speeds and drifts. Log. J. IGPL 31(4): 688-700 (2023)
[j11]
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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]
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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)
2022
[j9]
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Kien-Trinh Thi Bui, José F. Torres, David Gutiérrez-Avilés, Viet-Ha Nhu, Dieu Tien Bui, Francisco Martínez-Álvarez:
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]
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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)
2021
[j7]
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  - journals/gandc/Amaro-MelladoMR21
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José L. Amaro-Mellado, Laura Melgar-García, Cristina Rubio-Escudero, David Gutiérrez-Avilés:
Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach. Comput. Geosci. 150: 104736 (2021)
[j6]
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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)
2020
[j5]
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  - journals/bdr/FernandezGLM20
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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)
[j4]
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  - journals/bigdata/Martinez-Alvarez20
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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)
2018
[j3]
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  - journals/biodatamining/Gutierrez-Aviles18
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David Gutiérrez-Avilés, Raúl Giráldez, Francisco Javier Gil-Cumbreras, Cristina Rubio-Escudero:
TRIQ: a new method to evaluate triclusters. BioData Min. 11(1): 15:1-15:29 (2018)
2015
[j2]
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  - journals/entropy/Martinez-Alvarez15
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Francisco Martínez-Álvarez, David Gutiérrez-Avilés, Antonio Morales-Esteban, Jorge Reyes, José L. Amaro-Mellado, Cristina Rubio-Escudero:
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula. Entropy 17(7): 5000-5021 (2015)
2014
[j1]
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  - journals/ijon/Gutierrez-AvilesRMR14
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David Gutiérrez-Avilés, Cristina Rubio-Escudero, Francisco Martínez-Álvarez, José C. Riquelme:
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data. Neurocomputing 132: 42-53 (2014)

Conference and Workshop Papers

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2024
[c17]
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  - conf/caepia/RodriguezDiazTGTM24
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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
[c16]
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  - conf/sac/Gutierrez-Aviles24
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David Gutiérrez-Avilés, José F. Torres, Francisco Martínez-Álvarez, Jairo Cugliari:
An evolutionary triclustering approach to discover electricity consumption patterns in France. SAC 2024: 386-394
2023
[c15]
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  - conf/cisis-spain/Melgar-GarciaTG23
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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]
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  - conf/softcomp/Jimenez-Navarro23
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Manuel Jesús Jiménez-Navarro, Camilo Restrepo Estrada, Laura Melgar-García, David Gutiérrez-Avilés:
Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting. SOCO (1) 2023: 209-218
2022
[c13]
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  - conf/icdm/MelgarGarciaGRT22
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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
[c12]
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  - conf/caepia/Melgar-GarciaGR21
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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]
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  - conf/softcomp/Luna-RomeraCGS21
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José María Luna-Romera, Manuel Carranza-García, David Gutiérrez-Avilés, José Cristóbal Riquelme Santos:
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology. SOCO 2021: 706-716
2020
[c10]
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  - conf/sac/Melgar-GarciaGR20
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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
[c9]
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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
2019
[c8]
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  - conf/iwann/TorresGTM19
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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
[c7]
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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
[c6]
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  - conf/hais/Gutierrez-Aviles18
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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
2016
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David Gutiérrez-Avilés, Cristina Rubio-Escudero:
TRIQ: A Comprehensive Evaluation Measure for Triclustering Algorithms. HAIS 2016: 673-684
2014
[c4]
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  - conf/bibm/Gutierrez-AvilesR14
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David Gutiérrez-Avilés, Cristina Rubio-Escudero:
LSL: A new measure to evaluate triclusters. BIBM 2014: 30-37
2011
[c3]
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David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme:
Unravelling the Yeast Cell Cycle Using the TriGen Algorithm. CAEPIA 2011: 155-163
[c2]
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David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme:
Triclustering on temporary microarray data using the TriGen algorithm. ISDA 2011: 877-881
[c1]
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David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme:
Revisiting the yeast cell cycle problem with the improved TriGen algorithm. NaBIC 2011: 515-520

Informal and Other Publications

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2020
[i1]
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  - journals/corr/abs-2003-13633
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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)

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