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Carlos J. Alonso-González
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2020 – today
- 2023
- [j19]Desirée Arias-Requejo
, Belarmino Pulido
Clustering and Deep-Learning for Energy Consumption Forecast in Smart Buildings. IEEE Access 11: 128061-128080 (2023) - [j18]Diego García-Álvarez
Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points. Eng. Appl. Artif. Intell. 122: 106145 (2023)
2010 – 2019
- 2019
- [j17]Carlos J. Alonso-González, Belarmino Pulido, Mario Cartón, Aníbal Bregón
A Big Data Architecture for Fault Prognostics of Electronic Devices: Application to Power MOSFETs. IEEE Access 7: 102160-102173 (2019) - 2017
- [c31]Carlos J. Alonso-González, Aníbal Bregón
Autonomous vehicle traction subsystem modeling and diagnosis using BG-PCs. DX 2017: 94-109 - 2016
- [j16]Belarmino Pulido
DxPCs: a toolbox for model-based diagnosis of dynamic systems using possible conflicts. Prog. Artif. Intell. 5(2): 111-120 (2016) - 2015
- [j15]Oscar J. Prieto, Carlos J. Alonso-González
Stacking for multivariate time series classification. Pattern Anal. Appl. 18(2): 297-312 (2015) - [c30]Belarmino Pulido
Characterizing and Computing HBG-PCs for Hybrid Systems Fault Diagnosis. CAEPIA 2015: 116-127 - [c29]Aníbal Bregón, Carlos Alonso González, Belarmino Pulido:
Improving Fault Isolation and Identification for Hybrid Systems with Hybrid Possible Conflicts. DX 2015: 59-66 - 2014
- [j14]Aníbal Bregón
A Common Framework for Compilation Techniques Applied to Diagnosis of Linear Dynamic Systems. IEEE Trans. Syst. Man Cybern. Syst. 44(7): 863-876 (2014) - [j13]Aníbal Bregón
Integration of Simulation and State Observers for Online Fault Detection of Nonlinear Continuous Systems. IEEE Trans. Syst. Man Cybern. Syst. 44(12): 1553-1568 (2014) - 2013
- [c28]Noemi Moya Alonso, Aníbal Bregón
A Common Framework for Fault Diagnosis of Parametric and Discrete Faults Using Possible Conflicts. CAEPIA 2013: 239-249 - 2012
- [j12]Carlos J. Alonso-González
Microarray gene expression classification with few genes: Criteria to combine attribute selection and classification methods. Expert Syst. Appl. 39(8): 7270-7280 (2012) - 2011
- [c27]Carlos J. Alonso-González
Dynamic Bayesian Network Factors from Possible Conflicts for Continuous System Diagnosis. CAEPIA 2011: 223-232 - 2010
- [c26]Carlos J. Alonso-González
Rotation Forest on Microarray Domain: PCA versus ICA. IEA/AIE (2) 2010: 96-105 - [c25]Carlos J. Alonso-González
Ensemble Methods and Model Based Diagnosis Using Possible Conflicts and System Decomposition. IEA/AIE (2) 2010: 116-125
2000 – 2009
- 2009
- [c24]Belarmino Pulido Junquera, Aníbal Bregón
Analyzing the Influence of Differential Constraints in Possible Conflict and ARR Computation. CAEPIA 2009: 11-21 - [c23]Carlos J. Alonso-González
Selecting Few Genes for Microarray Gene Expression Classification. CAEPIA 2009: 111-120 - 2008
- [c22]Belarmino Pulido Junquera
Improving robustness in consistency-based diagnosis using possible conflicts. ECAI 2008: 791-792 - 2007
- [c21]Carlos J. Alonso, Oscar J. Prieto, Juan José Rodríguez, Aníbal Bregón, Belarmino Pulido Junquera:
Stacking Dynamic Time Warping for the Diagnosis of Dynamic Systems. CAEPIA 2007: 11-20 - 2006
- [j11]Juan José Rodríguez
Rotation Forest: A New Classifier Ensemble Method. IEEE Trans. Pattern Anal. Mach. Intell. 28(10): 1619-1630 (2006) - [c20]Juan José Rodríguez, Jesús Maudes, Carlos J. Alonso:
Rotation-based ensembles of RBF networks. ESANN 2006: 605-610 - 2005
- [j10]Juan José Rodríguez
Support vector machines of interval-based features for time series classification. Knowl. Based Syst. 18(4-5): 171-178 (2005) - [c19]Aníbal Bregón, María Aránzazu Simón Hurtado, Juan José Rodríguez, Carlos J. Alonso, Belarmino Pulido Junquera, Q. Isaac Moro:
Early Fault Classification in Dynamic Systems Using Case-Based Reasoning. CAEPIA 2005: 211-220 - [c18]Juan José Rodríguez, Carlos J. Alonso, Oscar J. Prieto:
Bias and Variance of Rotation-Based Ensembles. IWANN 2005: 779-786 - 2004
- [j9]Juan José Rodríguez, Carlos J. Alonso:
Clasificación de Series: Máquinas de Vectores Soporte y Literales basados en Intervalos. Inteligencia Artif. 8(23): 131-138 (2004) - [j8]Belarmino Pulido Junquera
Possible conflicts: a compilation technique for consistency-based diagnosis. IEEE Trans. Syst. Man Cybern. Part B 34(5): 2192-2206 (2004) - [c17]José A. Maestro, César Llamas, Carlos J. Alonso:
A Representation of Temporal Aspects in Knowledge Based Systems Modelling: A Monitoring Example. IEA/AIE 2004: 264-273 - [c16]Juan José Rodríguez, Carlos J. Alonso
Interval and dynamic time warping-based decision trees. SAC 2004: 548-552 - [c15]Juan José Rodríguez, Carlos J. Alonso:
Support Vector Machines of Interval-based Features for Time Series Classification. SGAI Conf. 2004: 244-257 - 2003
- [c14]José A. Maestro, María Aránzazu Simón Hurtado, Mario López, Alejandra Martínez-Monés, Carlos J. Alonso:
A Proposal of Diagnosis for an ITS for Computational Logic. CAEPIA 2003: 86-95 - [c13]Carlos J. Alonso, Juan José Rodríguez, Belarmino Pulido Junquera:
Enhancing Consistency Based Diagnosis with Machine Learning Techniques. CAEPIA 2003: 312-321 - [c12]Juan José Rodríguez, Carlos J. Alonso:
Rotation-Based Ensembles. CAEPIA 2003: 498-506 - [c11]Carlos J. Alonso, César Llamas, José A. Maestro, Belarmino Pulido Junquera:
Diagnosis of Dynamic Systems: A Knowledge Model That Allows Tracking the System during the Diagnosis Process. IEA/AIE 2003: 208-218 - [c10]Juan José Rodríguez, Vanesa Paniego, Leticia Villar, Carlos J. Alonso:
RBF Networks from Boosted Rules. SNPD 2003: 460-465 - 2002
- [j7]Carlos J. Alonso-González, César Llamas, José A. Maestro, Belarmino Pulido:
Diagnosis de Sistemas Dinámicos: Un Modelo de Conocimiento que Permite Integrar la Evolución del Sistema en el Proceso de Diagnosis. Computación y Sistemas 6(2) (2002) - 2001
- [j6]Juan Antonio Ortega-Ramírez, Carlos Alonso González, Belarmino Pulido Junquera:
Presentacion Monografia: Diagnosis, Razonamiento Cualitativo y Sistemas Socioeconómicos. Inteligencia Artif. 5(14): 33-40 (2001) - [j5]Belarmino Pulido Junquera, Carlos Alonso González:
Revision del concepto de posible conflicto como tecnica de pre-compilacion. Inteligencia Artif. 5(14): 41-53 (2001) - [j4]Juan J. Rodríguez Diez, Carlos J. Alonso, Q. Isaac Moro-Sancho:
Clasificación de Patrones Temporales en Sistemas Dinámicos mediante Boosting y Alineamiento Dinámico Temporal. Computación y Sistemas 5(2) (2001) - [j3]Carlos Alonso González
On-line industrial supervision and diagnosis, knowledge level description and experimental results. Expert Syst. Appl. 20(2): 117-132 (2001) - [j2]Juan J. Rodríguez Diez, Carlos Alonso González, Henrik Boström:
Boosting interval based literals. Intell. Data Anal. 5(3): 245-262 (2001) - [c9]Belarmino Pulido Junquera, Carlos Alonso González, Luis Felipe Acebes Arconada:
Lessons Learned from Diagnosing Dynamic Systems Using Possible Conflicts and Quantitative Models. IEA/AIE 2001: 135-144 - [c8]Juan J. Rodríguez Diez
Learning Classification RBF Networks by Boosting. Multiple Classifier Systems 2001: 43-52 - 2000
- [j1]Carlos Alonso González, Juan J. Rodríguez Diez:
Time Series Classification by Boosting Interval Based Literals. Inteligencia Artif. 4(11): 2-11 (2000) - [c7]Belarmino Pulido Junquera, Carlos Alonso González:
An Alternative Approach to Dependeny-Recording Engines in Consistency-Based Diagnosis. AIMSA 2000: 111-121 - [c6]Juan José Rodríguez, Carlos J. Alonso, Henrik Boström:
Learning First Order Logic Time Series Classifiers. ILP Work-in-progress reports 2000 - [c5]Alejandra Martínez-Monés, María Aránzazu Simón Hurtado, José Alberto Maestro Prieto, Mario López, Carlos Alonso González:
Student Modelling and Interface Design in SIAL. Intelligent Tutoring Systems 2000: 659 - [c4]Juan J. Rodríguez Diez, Carlos Alonso González:
Applying Boosting to Similarity Literals for Time Series Classification. Multiple Classifier Systems 2000: 210-219 - [c3]Juan J. Rodríguez Diez, Carlos Alonso González, Henrik Boström:
Learning First Order Logic Time Series Classifiers: Rules and Boosting. PKDD 2000: 299-308
1990 – 1999
- 1998
- [c2]Carlos Alonso González, Belarmino Pulido Junquera, Gerardo G. Acosta:
On Line Industrial Diagnosis: An Attempt to Apply Artificial Intelligence Techniques to Process Control. IEA/AIE (Vol. 1) 1998: 804-813 - 1996
- [c1]Carlos Alonso González, Belarmino Pulido Junquera, G. Acosta Lazo:
TURBOLID: Time Use in A Rule Based On Line Industrial Diagnoser. IEA/AIE 1996: 779
Coauthor Index
aka: Belarmino Pulido
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