Maria Gabriella Xibilia
Orcid: 0000-0001-7723-2051
According to our database1,
Maria Gabriella Xibilia
authored at least 77 papers
between 1993 and 2024.
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Bibliography
2024
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024
An Explainable Model Framework for Vehicle-to-Grid Available Aggregated Capacity Prediction.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024
A comprehensive data analysis for aggregate capacity forecasting in Vehicle-to-Grid applications.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2024
Proceedings of the International Conference on Control, Automation and Diagnosis, 2024
Variable Time Delay Estimation for a Debutanizer Column Using Multiple Correlation Analysis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
Domain-adaptation with knowledge accumulation through parallel stacked autoencoders: methodology and application to sulfur recovery.
Proceedings of the American Control Conference, 2024
2023
Multiple Correlation Analysis for Finite-Time Delay Estimation for Soft Sensor Design in the Presence of Noise.
IEEE Trans. Instrum. Meas., 2023
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023
Estimating Finite-Time Delay in Dynamical Soft Sensors for Industrial Processes: Robustness to Noise.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023
Calibration of a Clustering Algorithm to Improve the Nearshore Wave Prediction System.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023
Finite time-delay estimation for soft sensors modelling Hammerstein-Wiener structures.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023
Explainable AI-Based Clinical Decision Support System for Obesity Comorbidity Analysis.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
2022
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022
Multiple correlation analysis for finite-time delay estimation in Soft Sensors design.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022
2021
Sensors, 2021
IEEE Control. Syst. Lett., 2021
On the use of correlation analysis in the estimation of finite-time delay in Soft Sensors design.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021
2020
Proceedings of the Development and Analysis of Deep Learning Architectures, 2020
IEEE Trans. Instrum. Meas., 2020
Input selection methods for data-driven Soft sensors design: Application to an industrial process.
Inf. Sci., 2020
Improving Soft Sensors performance in the presence of small datasets by data selection.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
A Data-Driven Prognostics Technique and RUL Prediction of Rotating Machines Using an Exponential Degradation Model.
Proceedings of the 7th International Conference on Control, 2020
2019
Low-order Nonlinear Finite-Impulse Response Soft Sensors for Ionic Electroactive Actuators Based on Deep Learning.
IEEE Trans. Instrum. Meas., 2019
Model Order Reduction: A Comparison between Integer and Non-Integer Order Systems Approaches.
Entropy, 2019
Graphical Method for the Stability Analysis of Commensurate Multiple Time Delay Imperfect Systems.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Design of a Soft Sensor for an Industrial Plant with Unknown Delay by Using Deep Learning.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019
Proceedings of the 6th International Conference on Control, 2019
2018
IEEE Trans. Control. Syst. Technol., 2018
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018
A soft sensor for the estimation of ionic electroactive actuator motion based on deep learning.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018
2017
Positive-real systems under lossless transformations: Invariants and reduced order models.
J. Frankl. Inst., 2017
Continuous time LTI systems under lossless positive real transformations: open-loop balanced representation and truncated reduced-order models.
Int. J. Control, 2017
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017
Proceedings of the 2017 European Conference on Circuit Theory and Design, 2017
2016
Invariance of characteristic values and L<sub>∞</sub> norm under lossless positive real transformations.
J. Frankl. Inst., 2016
Proceedings of the IEEE Sensors Applications Symposium, 2016
2015
Commun. Nonlinear Sci. Numer. Simul., 2015
2013
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013
Proceedings of the 21st European Conference on Circuit Theory and Design, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Int. J. Control, 2012
Complex Syst., 2012
2011
Comput. Chem. Eng., 2011
2009
Comparison of Soft-Sensor Design Methods for Industrial Plants Using Small Data Sets.
IEEE Trans. Instrum. Meas., 2009
Proceedings of the IEEE Fourth International Symposium on Industrial Embedded Systems, 2009
Proceedings of the 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009
2008
Int. J. Bifurc. Chaos, 2008
2007
Virtual Instruments Based on Stacked Neural Networks to Improve Product Quality Monitoring in a Refinery.
IEEE Trans. Instrum. Meas., 2007
2005
Cross correlation analysis of residuals for the selection of the structure of virtual sensors in a refinery.
Proceedings of 10th IEEE International Conference on Emerging Technologies and Factory Automation, 2005
2003
IEEE Trans. Evol. Comput., 2003
Int. J. Neural Syst., 2003
2002
IEEE Trans. Control. Syst. Technol., 2002
2001
IEEE Trans. Neural Networks, 2001
A generalized Chua Cell for Realizing any continuous n-Segment piecewise-Linear Function.
Int. J. Bifurc. Chaos, 2001
Proceedings of the 6th European Control Conference, 2001
2000
Extending the CNN paradigm to approximate chaotic systems with multivariable nonlinearities.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
Intell. Autom. Soft Comput., 1999
A neural networks based system for post pulse fault detection and disruption data validation in tokamak machines.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999
Neural Networks for Benzene Percentage Monitoring in Distillation Columns.
Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999
1997
Neural Networks, 1997
1995
Int. J. Neural Syst., 1995
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995
1994
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994
1993
On the capability of neural networks with complex neurons in complex valued functions approximation.
Proceedings of the 1993 IEEE International Symposium on Circuits and Systems, 1993