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Maria J. Fuente

Maria J. Fuente-Aparicio

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2020 – today

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2024
[j8]
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Marta Galende-Hernández, Gregorio Ismael Sainz Palmero, Maria J. Fuente:
Discovering stop and parking behaviors of last mile delivery vehicles for urban areas based on not well conditioned GPS traces, expert knowledge and machine learning. Expert Syst. Appl. 238(Part C): 122001 (2024)
[c22]
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Alicia Beneyto-Rodríguez, Gregorio Ismael Sainz Palmero, Marta Galende-Hernández, Maria J. Fuente:
Faster WWTP Fault Diagnosis Based on Linguistic-OWA Pooling DCNN. ETFA 2024: 1-8
2023
[j7]
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Maria J. Fuente-Aparicio, Gregorio Ismael Sainz Palmero, Marta Galende-Hernández:
Dynamic Decentralized Monitoring for Large-Scale Industrial Processes Using Multiblock Canonical Variate Analysis Based Regression. IEEE Access 11: 26611-26623 (2023)
2020
[c21]
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H. Maatallah, Maria J. Fuente, Kaïs Ouni:
Condition monitoring of wind turbine bearings progressive degradation using principal component analysis. EVER 2020: 1-6

2010 – 2019

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2019
[c20]
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A. Sánchez-Fernandez, Maria J. Fuente, Gregorio Ismael Sainz Palmero:
Decentralized DPCA Model for Large-Scale Processes Monitoring. ETFA 2019: 625-632
2018
[j6]
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A. Sánchez-Fernandez, Gregorio Ismael Sainz Palmero, José Manuel Benítez, Maria J. Fuente:
Linguistic OWA and two time-windows based fault identification in wide plants. Comput. Chem. Eng. 115: 412-430 (2018)
[c19]
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A. Sánchez-Fernandez, Maria J. Fuente, Gregorio Ismael Sainz Palmero:
Decentralized and Dynamic Fault Detection Using PCA and Bayesian Inference. ETFA 2018: 800-807
2017
[j5]
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M. Isabel Rey, Marta Galende, Maria J. Fuente, Gregorio Ismael Sainz Palmero:
Multi-objective based Fuzzy Rule Based Systems (FRBSs) for trade-off improvement in accuracy and interpretability: A rule relevance point of view. Knowl. Based Syst. 127: 67-84 (2017)
2015
[c18]
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A. Sánchez-Fernandez, Maria J. Fuente, Gregorio Ismael Sainz Palmero:
Fault detection in wastewater treatment plants using distributed PCA methods. ETFA 2015: 1-7
[c17]
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A. Sánchez-Fernandez, Maria J. Fuente, Gregorio Ismael Sainz Palmero:
Fault detection with distributed PCA methods in water distribution networks. MED 2015: 156-161
2014
[c16]
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  - conf/etfa/FuenteP14
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Maria J. Fuente, Gregorio Ismael Sainz Palmero:
Fault detection based on neural networks and independent component analysis. ETFA 2014: 1-6
2013
[c15]
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  - conf/fuzzIEEE/ReyGSF13
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M. Isabel Rey, Marta Galende, Gregorio I. Sainz, Maria J. Fuente:
Selection of rules by orthogonal transformations and genetic algorithms to improve the interpretability in fuzzy rule based systems. FUZZ-IEEE 2013
2012
[j4]
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  - journals/soco/Galende-HernandezSF12
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Marta Galende-Hernández, Gregorio Ismael Sainz Palmero, Maria J. Fuente-Aparicio:
Complexity reduction and interpretability improvement for fuzzy rule systems based on simple interpretability measures and indices by bi-objective evolutionary rule selection. Soft Comput. 16(3): 451-470 (2012)
2011
[c14]
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Diego García-Álvarez, Maria J. Fuente, Luis G. Palacín:
Monitoring and fault detection in a reverse osmosis plant using principal component analysis. CDC/ECC 2011: 3044-3049
[c13]
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Diego García-Álvarez, Aníbal Bregón, Maria J. Fuente, Belarmino Pulido Junquera:
Improving parameter estimation using minimal analytically redundant subsystems. CDC/ECC 2011: 7788-7793
[c12]
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Diego García-Álvarez, Maria J. Fuente, Gregorio I. Sainz:
Design of residuals in a model-based Fault Detection and Isolation system using Statistical Process Control techniques. ETFA 2011: 1-7
[c11]
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M. Isabel Rey, Marta Galende, Gregorio I. Sainz, Maria J. Fuente:
Checking orthogonal transformations and genetic algorithms for selection of fuzzy rules based on interpretability-accuracy concepts. FUZZ-IEEE 2011: 1271-1278
2010
[j3]
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Sergio Saludes Rodil, Maria J. Fuente:
Fault tolerance in the framework of support vector machines based model predictive control. Eng. Appl. Artif. Intell. 23(7): 1127-1139 (2010)
[c10]
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Diego García-Álvarez, Maria J. Fuente, Gregorio I. Sainz:
Monitoring and fault detection in processes with multiple operating modes, transitory phases and start-ups using principal component analysis. ETFA 2010: 1-8

2000 – 2009

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2009
[c9]
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Maria J. Fuente, Diego García-Álvarez, Gregorio Ismael Sainz Palmero, Thamara Villegas:
Fault Detection and Identification Method based on Multivariate Statistical Techniques. ETFA 2009: 1-6
[c8]
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  - conf/eucc/FranciscoVF09
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Mario Francisco, Pastora Vega, Maria J. Fuente:
Model predictive control tuning considering l1norm for disturbance rejection. ECC 2009: 2241-2246
[c7]
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Diego García-Álvarez, Maria J. Fuente, Pastora Vega:
Fault detection in processes with multiple operation modes using switch-PCA and analysis of grade transitions. ECC 2009: 2530-2535
[c6]
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  - conf/eucc/GalendeSF09
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Marta Galende, Gregorio I. Sainz, Maria J. Fuente:
Accuracy-interpretability balancing in fuzzy models based on multiobjective genetic algorithm. ECC 2009: 3915-3920
2006
[j2]
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  - journals/eaai/FuenteRCST06
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Maria J. Fuente, C. Robles, O. Casado, S. Syafiie, Fernando Tadeo:
Fuzzy control of a neutralization process. Eng. Appl. Artif. Intell. 19(8): 905-914 (2006)
2005
[c5]
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Sergio Saludes, Maria J. Fuente:
Support Vector Based Novelty Detection for Fault Tolerant Control. CDC/ECC 2005: 5820-5825
[c4]
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Gregorio Ismael Sainz Palmero, R. García, Maria J. Fuente:
Fault Fuzzy Rule Extraction from AC Motors by Neuro-fuzzy Models. IWANN 2005: 1116-1123
2004
[j1]
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Gregorio I. Sainz, Maria J. Fuente, Pastora Vega:
Recurrent Neuro-Fuzzy Modeling of a Wastewater Treatment Plant. Eur. J. Control 10(1): 84-96 (2004)
2003
[c3]
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Sergio Saludes, Maria J. Fuente:
Fault tolerant fuzzy IMC control in a PH process. ECC 2003: 659-664
2001
[c2]
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  - conf/eucc/MoyaSGFP01
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E. Moya, Gregorio I. Sainz, B. Grande, Maria J. Fuente, José R. Perán:
Neural PCA based fault diagnosis. ECC 2001: 809-813
[c1]
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Gregorio I. Sainz, Maria J. Fuente, Pastora Vega:
Recurrent neuro-fuzzy modeling of a biotechnological process. ECC 2001: 3822-3827

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