• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 197 matches

• 2024
• 
  Miguel Campos-Romero, Manuel Carranza-García, José C. Riquelme:
  Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning. Eng. Appl. Artif. Intell. 137: 109088 (2024)
• 
  Maria Lourdes Linares-Barrera, Manuel Jesús Jiménez-Navarro, José C. Riquelme, María Martínez-Ballesteros:
  Multi-Objective Lagged Feature Selection Based on Dependence Coefficient for Time-Series Forecasting. CAEPIA 2024: 81-90
• 
  Maria Lourdes Linares-Barrera, Manuel Jesús Jiménez-Navarro, Isabel Sofia Brito, José C. Riquelme, María Martínez-Ballesteros:
  Evolutionary Feature Selection for Time-Series Forecasting. SAC 2024: 395-399
• 
  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
• 
  Javier Solís-García, Belén Vega-Márquez, Juan A. Nepomuceno, José Cristóbal Riquelme Santos, Isabel A. Nepomuceno-Chamorro:
  Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study. Appl. Intell. 53(24): 30691-30705 (2023)
• 
  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)
• 
  Pedro Lara-Benítez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme:
  Short-term solar irradiance forecasting in streaming with deep learning. Neurocomputing 546: 126312 (2023)
• 
  José David Martín-Fernández, Beatriz Pontes, José C. Riquelme:
  Simultaneous Evolutionary Optimization of Features Subset and Clusters Number. GECCO Companion 2023: 307-310
• 
  Maria Lourdes Linares-Barrera, María Martínez-Ballesteros, José Manuel García-Heredia, José C. Riquelme:
  A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma. HAIS 2023: 731-742
• 
  Pablo Reina-Jiménez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme:
  Efficient Short-Term Time Series Forecasting with Regression Trees. SOCO (2) 2023: 101-110
• 
  Belén Vega-Márquez, Juan Pardo-Martínez, María del Mar Villegas-Oliva, José C. Riquelme:
  Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia. SOCO (1) 2023: 239-248
• 2022
• 
  Manuel Carranza-García, Francisco Javier Galán-Sales, José María Luna-Romera, José C. Riquelme:
  Object detection using depth completion and camera-LiDAR fusion for autonomous driving. Integr. Comput. Aided Eng. 29(3): 241-258 (2022)
• 
  Tomás Cabello-López, Manuel Cañizares-Juan, Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme:
  Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation. HAIS 2022: 133-140
• 
  Manuel Carranza-García, José C. Riquelme, Avideh Zakhor:
  Temporal Axial Attention For Lidar-Based 3d Object Detection In Autonomous Driving. ICIP 2022: 201-205
• 2021
• 
  Pedro Lara-Benítez, Manuel Carranza-García, José C. Riquelme:
  An Experimental Review on Deep Learning Architectures for Time Series Forecasting. Int. J. Neural Syst. 31(3): 2130001:1-2130001:28 (2021)
• 
  Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme:
  Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance. Neurocomputing 449: 229-244 (2021)
• 
  Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro, Cristina Rubio-Escudero, José C. Riquelme:
  OCEAn: Ordinal classification with an ensemble approach. Inf. Sci. 580: 221-242 (2021)
• 
  Manuel Carranza-García, Pedro Lara-Benítez, José María Luna-Romera, José C. Riquelme:
  Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting. SOCO 2021: 654-664
• 
  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
• 
  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]
• 
  Pedro Lara-Benítez, Manuel Carranza-García, José C. Riquelme:
  An Experimental Review on Deep Learning Architectures for Time Series Forecasting. CoRR abs/2103.12057 (2021)
• 
  Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme:
  Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance. CoRR abs/2104.03888 (2021)
• 2020
• 
  Laura Macías-García, María Martínez-Ballesteros, José María Luna-Romera, José Manuel García-Heredia, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos:
  Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance. Artif. Intell. Medicine 110: 101976 (2020)
• 
  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)
• 
  Pedro Lara-Benítez, Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme:
  Asynchronous dual-pipeline deep learning framework for online data stream classification. Integr. Comput. Aided Eng. 27(2): 101-119 (2020)
• 
  Antonio J. Tallón-Ballesteros, José C. Riquelme, Roberto Ruiz:
  Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning. Pattern Anal. Appl. 23(1): 467-491 (2020)
• 
  Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme:
  On the Performance of Deep Learning Models for Time Series Classification in Streaming. SOCO 2020: 144-154
• 
  Miguel Ángel Molina, Gualberto Asencio-Cortés, José C. Riquelme, Francisco Martínez-Álvarez:
  A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets. SOCO 2020: 741-750
• 
  Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme:
  On the performance of deep learning models for time series classification in streaming. CoRR abs/2003.02544 (2020)
• 
  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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