TURBOLID: Time Use in A Rule Based On Line Industrial Diagnoser. - Carlos Alonso González; Belarmino Pulido Junquera; G. Acosta Lazo (IEA/AIE, 1996)

On Line Industrial Diagnosis: An Attempt to Apply Artificial Intelligence Techniques to Process Control. - Carlos Alonso González; Belarmino Pulido Junquera; Gerardo G. Acosta (IEA/AIE (Vol. 1), 1998)

An Alternative Approach to Dependeny-Recording Engines in Consistency-Based Diagnosis. - Belarmino Pulido Junquera; Carlos Alonso González (AIMSA, 2000)

Learning First Order Logic Time Series Classifiers. - Juan José Rodríguez; Carlos J. Alonso; Henrik Boström (ILP Work-in-progress reports, 2000)

Student Modelling and Interface Design in SIAL. - Alejandra Martínez-Monés; María Aránzazu Simón Hurtado; José Alberto Maestro Prieto; Mario López; Carlos Alonso González (Intelligent Tutoring Systems, 2000)

Applying Boosting to Similarity Literals for Time Series Classification. - Juan J. Rodríguez Diez; Carlos Alonso González (Multiple Classifier Systems, 2000)

Learning First Order Logic Time Series Classifiers: Rules and Boosting. - Juan J. Rodríguez Diez; Carlos Alonso González; Henrik Boström (PKDD, 2000)

Time Series Classification by Boosting Interval Based Literals. - Carlos Alonso González; Juan J. Rodríguez Diez (Inteligencia Artif., 2000)

Lessons Learned from Diagnosing Dynamic Systems Using Possible Conflicts and Quantitative Models. - Belarmino Pulido Junquera; Carlos Alonso González; Luis Felipe Acebes Arconada (IEA/AIE, 2001)

Learning Classification RBF Networks by Boosting. - Juan J. Rodríguez Diez; Carlos Alonso González (Multiple Classifier Systems, 2001)

Revision del concepto de posible conflicto como tecnica de pre-compilacion. - Belarmino Pulido Junquera; Carlos Alonso González (Inteligencia Artif., 2001)

Presentacion Monografia: Diagnosis, Razonamiento Cualitativo y Sistemas Socioeconómicos. - Juan Antonio Ortega-Ramírez; Carlos Alonso González; Belarmino Pulido Junquera (Inteligencia Artif., 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)

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)

Boosting interval based literals. - Juan J. Rodríguez Diez; Carlos Alonso González; Henrik Boström (Intell. Data Anal., 2001)

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)

Enhancing Consistency Based Diagnosis with Machine Learning Techniques. - Carlos J. Alonso; Juan José Rodríguez; Belarmino Pulido Junquera (CAEPIA, 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 (CAEPIA, 2003)

Rotation-Based Ensembles. - Juan José Rodríguez; Carlos J. Alonso (CAEPIA, 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 (IEA/AIE, 2003)

RBF Networks from Boosted Rules. - Juan José Rodríguez; Vanesa Paniego; Leticia Villar; Carlos J. Alonso (SNPD, 2003)

A Representation of Temporal Aspects in Knowledge Based Systems Modelling: A Monitoring Example. - José A. Maestro; César Llamas; Carlos J. Alonso (IEA/AIE, 2004)

Interval and dynamic time warping-based decision trees. - Juan José Rodríguez; Carlos J. Alonso (SAC, 2004)

Support Vector Machines of Interval-based Features for Time Series Classification. - Juan José Rodríguez; Carlos J. Alonso (SGAI Conf., 2004)

Clasificación de Series: Máquinas de Vectores Soporte y Literales basados en Intervalos. - Juan José Rodríguez; Carlos J. Alonso (Inteligencia Artif., 2004)

Possible conflicts: a compilation technique for consistency-based diagnosis. - Belarmino Pulido Junquera; Carlos Alonso González (IEEE Trans. Syst. Man Cybern. Part B, 2004)

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 (CAEPIA, 2005)

Bias and Variance of Rotation-Based Ensembles. - Juan José Rodríguez; Carlos J. Alonso; Oscar J. Prieto (IWANN, 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)

Rotation-based ensembles of RBF networks. - Juan José Rodríguez; Jesús Maudes; Carlos J. Alonso (ESANN, 2006)

Rotation Forest: A New Classifier Ensemble Method. - Juan José Rodríguez; Ludmila I. Kuncheva; Carlos J. Alonso (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Stacking Dynamic Time Warping for the Diagnosis of Dynamic Systems. - Carlos J. Alonso; Oscar J. Prieto; Juan José Rodríguez; Aníbal Bregón; Belarmino Pulido Junquera (CAEPIA, 2007)

Improving robustness in consistency-based diagnosis using possible conflicts. - Belarmino Pulido Junquera; Aníbal Bregón; Carlos Alonso González (ECAI, 2008)

Selecting Few Genes for Microarray Gene Expression Classification. - Carlos J. Alonso-González; Q. Isaac Moro; Oscar J. Prieto; María Aránzazu Simón Hurtado (CAEPIA, 2009)

Analyzing the Influence of Differential Constraints in Possible Conflict and ARR Computation. - Belarmino Pulido Junquera; Aníbal Bregón; Carlos Alonso González (CAEPIA, 2009)

Rotation Forest on Microarray Domain: PCA versus ICA. - Carlos J. Alonso-González; Q. Isaac Moro-Sancho; Iván Ramos-Muñoz; María Aránzazu Simón Hurtado (IEA/AIE (2), 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 (IEA/AIE (2), 2010)

Dynamic Bayesian Network Factors from Possible Conflicts for Continuous System Diagnosis. - Carlos J. Alonso-González; Noemi Moya Alonso; Gautam Biswas (CAEPIA, 2011)

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)

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 (CAEPIA, 2013)

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)

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)

Characterizing and Computing HBG-PCs for Hybrid Systems Fault Diagnosis. - Belarmino Pulido; Carlos Alonso González; Aníbal Bregón; Alberto Hernández (CAEPIA, 2015)

Improving Fault Isolation and Identification for Hybrid Systems with Hybrid Possible Conflicts. - Aníbal Bregón; Carlos Alonso González; Belarmino Pulido (DX, 2015)

Stacking for multivariate time series classification. - Oscar J. Prieto; Carlos J. Alonso-González; Juan José Rodríguez Diez (Pattern Anal. Appl., 2015)

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)

Autonomous vehicle traction subsystem modeling and diagnosis using BG-PCs. - Carlos J. Alonso-González; Aníbal Bregón; Belarmino Pulido; Matías A. Nacusse; Sergio J. Junco (DX, 2017)

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)

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)

Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points. - Diego García-Álvarez; Aníbal Bregón; Belarmino Pulido; Carlos J. Alonso-González (Eng. Appl. Artif. Intell., 2023)