Carlos J. Alonso-González

According to our database, Carlos J. Alonso-González authored at least 50 papers between 1996 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points.

Diego Garcia-Alvarez, Aníbal Bregón, Belarmino Pulido, Carlos J. Alonso-González

Eng. Appl. Artif. Intell., 2023

Clustering and Deep-Learning for Energy Consumption Forecast in Smart Buildings.

Desirée Arias-Requejo, Belarmino Pulido, Marcus M. Keane, Carlos J. Alonso-González

IEEE Access, 2023

2019

A Big Data Architecture for Fault Prognostics of Electronic Devices: Application to Power MOSFETs.

Carlos J. Alonso-González, Belarmino Pulido, Mario Cartón, Aníbal Bregón

IEEE Access, 2019

2017

Autonomous vehicle traction subsystem modeling and diagnosis using BG-PCs.

Carlos J. Alonso-González, Aníbal Bregón, Belarmino Pulido, Matías A. Nacusse, Sergio J. Junco

Proceedings of the 28th International Workshop on Principles of Diagnosis (DX'17), 2017

2016

DxPCs: a toolbox for model-based diagnosis of dynamic systems using possible conflicts.

Belarmino Pulido, Aníbal Bregón, Carlos J. Alonso-González, Alberto Hernández, David Rubio, Luis Miguel Villarroel

Prog. Artif. Intell., 2016

2015

Stacking for multivariate time series classification.

Oscar J. Prieto, Carlos J. Alonso-González, Juan José Rodríguez Diez

Pattern Anal. Appl., 2015

Improving Fault Isolation and Identification for Hybrid Systems with Hybrid Possible Conflicts.

Aníbal Bregón, Carlos Alonso González, Belarmino Pulido

Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015) co-located with 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (Safeprocess 2015), Paris, France, August 31, 2015

Characterizing and Computing HBG-PCs for Hybrid Systems Fault Diagnosis.

Belarmino Pulido, Carlos Alonso González, Aníbal Bregón, Alberto Hernández

Proceedings of the Advances in Artificial Intelligence, 2015

2014

A Common Framework for Compilation Techniques Applied to Diagnosis of Linear Dynamic Systems.

Aníbal Bregón, Gautam Biswas, Belarmino Pulido, Carlos Alonso González, Hamed Khorasgani

IEEE Trans. Syst. Man Cybern. Syst., 2014

Integration of Simulation and State Observers for Online Fault Detection of Nonlinear Continuous Systems.

Aníbal Bregón, Carlos J. Alonso-González, Belarmino Pulido

IEEE Trans. Syst. Man Cybern. Syst., 2014

2013

A Common Framework for Fault Diagnosis of Parametric and Discrete Faults Using Possible Conflicts.

Noemi Moya Alonso, Aníbal Bregón, Carlos J. Alonso-González, Belarmino Pulido

Proceedings of the Advances in Artificial Intelligence, 2013

2012

Microarray gene expression classification with few genes: Criteria to combine attribute selection and classification methods.

Carlos J. Alonso-González, Q. Isaac Moro-Sancho, María Arancha Simón Hurtado, Ricardo Varela-Arrabal

Expert Syst. Appl., 2012

2011

Dynamic Bayesian Network Factors from Possible Conflicts for Continuous System Diagnosis.

Carlos J. Alonso-González, Noemi Moya Alonso, Gautam Biswas

Proceedings of the Advances in Artificial Intelligence, 2011

2010

Ensemble Methods and Model Based Diagnosis Using Possible Conflicts and System Decomposition.

Carlos J. Alonso-González, Juan José Rodríguez, Oscar J. Prieto, Belarmino Pulido Junquera

Proceedings of the Trends in Applied Intelligent Systems, 2010

Rotation Forest on Microarray Domain: PCA versus ICA.

Carlos J. Alonso-González, Q. Isaac Moro-Sancho, Iván Ramos-Muñoz, María Aránzazu Simón Hurtado

Proceedings of the Trends in Applied Intelligent Systems, 2010

2009

Analyzing the Influence of Differential Constraints in Possible Conflict and ARR Computation.

Belarmino Pulido Junquera, Aníbal Bregón, Carlos Alonso González

Proceedings of the Current Topics in Artificial Intelligence, 2009

Selecting Few Genes for Microarray Gene Expression Classification.

Carlos J. Alonso-González, Q. Isaac Moro, Oscar J. Prieto, María Aránzazu Simón Hurtado

Proceedings of the Current Topics in Artificial Intelligence, 2009

2008

Improving robustness in consistency-based diagnosis using possible conflicts.

Belarmino Pulido Junquera, Aníbal Bregón, Carlos Alonso González

Proceedings of the ECAI 2008, 2008

2007

Stacking Dynamic Time Warping for the Diagnosis of Dynamic Systems.

Carlos J. Alonso, Oscar J. Prieto, Juan José Rodríguez, Aníbal Bregón, Belarmino Pulido Junquera

Proceedings of the Current Topics in Artificial Intelligence, 2007

2006

Rotation Forest: A New Classifier Ensemble Method.

Juan José Rodríguez, Ludmila I. Kuncheva, Carlos J. Alonso

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Rotation-based ensembles of RBF networks.

Juan José Rodríguez, Jesús Maudes, Carlos J. Alonso

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005

Support vector machines of interval-based features for time series classification.

Juan José Rodríguez, Carlos J. Alonso, José A. Maestro

Knowl. Based Syst., 2005

Bias and Variance of Rotation-Based Ensembles.

Juan José Rodríguez, Carlos J. Alonso, Oscar J. Prieto

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Early Fault Classification in Dynamic Systems Using Case-Based Reasoning.

Aníbal Bregón, María Aránzazu Simón Hurtado, Juan José Rodríguez, Carlos J. Alonso, Belarmino Pulido Junquera, Q. Isaac Moro

Proceedings of the Current Topics in Artificial Intelligence, 2005

2004

Possible conflicts: a compilation technique for consistency-based diagnosis.

Belarmino Pulido Junquera, Carlos Alonso González

IEEE Trans. Syst. Man Cybern. Part B, 2004

Clasificación de Series: Máquinas de Vectores Soporte y Literales basados en Intervalos.

Juan José Rodríguez, Carlos J. Alonso

Inteligencia Artif., 2004

Support Vector Machines of Interval-based Features for Time Series Classification.

Juan José Rodríguez, Carlos J. Alonso

Proceedings of the Research and Development in Intelligent Systems XXI, 2004

Interval and dynamic time warping-based decision trees.

Juan José Rodríguez, Carlos J. Alonso

Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

A Representation of Temporal Aspects in Knowledge Based Systems Modelling: A Monitoring Example.

José A. Maestro, César Llamas, Carlos J. Alonso

Proceedings of the Innovations in Applied Artificial Intelligence, 2004

2003

RBF Networks from Boosted Rules.

Juan José Rodríguez, Vanesa Paniego, Leticia Villar, Carlos J. Alonso

Proceedings of the ACIS Fourth International Conference on Software Engineering, 2003

Diagnosis of Dynamic Systems: A Knowledge Model That Allows Tracking the System during the Diagnosis Process.

Carlos J. Alonso, César Llamas, José A. Maestro, Belarmino Pulido Junquera

Proceedings of the Developments in Applied Artificial Intelligence, 2003

Rotation-Based Ensembles.

Juan José Rodríguez, Carlos J. Alonso

Proceedings of the Current Topics in Artificial Intelligence, 2003

A Proposal of Diagnosis for an ITS for Computational Logic.

José A. Maestro, María Aránzazu Simón Hurtado, Mario López, Alejandra Martínez-Monés, Carlos J. Alonso

Proceedings of the Current Topics in Artificial Intelligence, 2003

Enhancing Consistency Based Diagnosis with Machine Learning Techniques.

Carlos J. Alonso, Juan José Rodríguez, Belarmino Pulido Junquera

Proceedings of the Current Topics in Artificial Intelligence, 2003

2002

Diagnosis de Sistemas Dinámicos: Un Modelo de Conocimiento que Permite Integrar la Evolución del Sistema en el Proceso de Diagnosis.

Carlos J. Alonso-González, César Llamas, José A. Maestro, Belarmino Pulido

Computación y Sistemas, 2002

2001

Boosting interval based literals.

Juan J. Rodríguez Diez, Carlos Alonso González, Henrik Boström

Intell. Data Anal., 2001

On-line industrial supervision and diagnosis, knowledge level description and experimental results.

Carlos Alonso González, Belarmino Pulido Junquera, G. Acosta Lazo, César Llamas

Expert Syst. Appl., 2001

Clasificación de Patrones Temporales en Sistemas Dinámicos mediante Boosting y Alineamiento Dinámico Temporal.

Juan J. Rodríguez Diez, Carlos J. Alonso, Q. Isaac Moro-Sancho

Computación y Sistemas, 2001

Presentacion Monografia: Diagnosis, Razonamiento Cualitativo y Sistemas Socioeconómicos.

Juan Antonio Ortega-Ramírez, Carlos Alonso González, Belarmino Pulido Junquera

Inteligencia Artif., 2001

Revision del concepto de posible conflicto como tecnica de pre-compilacion.

Belarmino Pulido Junquera, Carlos Alonso González

Inteligencia Artif., 2001

Learning Classification RBF Networks by Boosting.

Juan J. Rodríguez Diez, Carlos Alonso González

Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

Lessons Learned from Diagnosing Dynamic Systems Using Possible Conflicts and Quantitative Models.

Belarmino Pulido Junquera, Carlos Alonso González, Luis Felipe Acebes Arconada

Proceedings of the Engineering of Intelligent Systems, 2001

2000

Time Series Classification by Boosting Interval Based Literals.

Carlos Alonso González, Juan J. Rodríguez Diez

Inteligencia Artif., 2000

Learning First Order Logic Time Series Classifiers: Rules and Boosting.

Juan J. Rodríguez Diez, Carlos Alonso González, Henrik Boström

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Applying Boosting to Similarity Literals for Time Series Classification.

Juan J. Rodríguez Diez, Carlos Alonso González

Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

Student Modelling and Interface Design in SIAL.

Alejandra Martínez-Monés, María Aránzazu Simón Hurtado, José Alberto Maestro Prieto, Mario López, Carlos Alonso González

Proceedings of the Intelligent Tutoring Systems, 5th International Conference, 2000

Learning First Order Logic Time Series Classifiers.

Juan José Rodríguez, Carlos J. Alonso, Henrik Boström

Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

An Alternative Approach to Dependeny-Recording Engines in Consistency-Based Diagnosis.

Belarmino Pulido Junquera, Carlos Alonso González

Proceedings of the Artificial Intelligence: Methodology, 2000

1998

On Line Industrial Diagnosis: An Attempt to Apply Artificial Intelligence Techniques to Process Control.

Carlos Alonso González, Belarmino Pulido Junquera, Gerardo G. Acosta

Proceedings of the Methodology and Tools in Knowledge-Based Systems, 1998

1996

TURBOLID: Time Use in A Rule Based On Line Industrial Diagnoser.

Carlos Alonso González, Belarmino Pulido Junquera, G. Acosta Lazo

Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996