Maria Gabriella Xibilia

Orcid: 0000-0001-7723-2051

According to our database1, Maria Gabriella Xibilia authored at least 68 papers between 1993 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Multiple Correlation Analysis for Finite-Time Delay Estimation for Soft Sensor Design in the Presence of Noise.
IEEE Trans. Instrum. Meas., 2023

Model-Agnostic Soft Sensor Interpretability.
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
Estimating finite-time delay in dynamical soft sensors: an industrial case of study.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Application of data distribution metrics for soft sensors in industrial scenarios.
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
RNN- and LSTM-Based Soft Sensors Transferability for an Industrial Process.
Sensors, 2021

Echo-state networks for soft sensor design in an SRU process.
Inf. Sci., 2021

Delay Independent Stability Control for Commensurate Multiple Time-Delay Systems.
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
Deep Learning for Soft Sensor Design.
Proceedings of the Development and Analysis of Deep Learning Architectures, 2020

Soft Sensors Based on Deep Neural Networks for Applications in Security and Safety.
IEEE Trans. Instrum. Meas., 2020

Input selection methods for data-driven Soft sensors design: Application to an industrial process.
Inf. Sci., 2020

Innovative Topologies and Algorithms for Neural Networks.
Future Internet, 2020

Input Selection Methods for Soft Sensor Design: A Survey.
Future Internet, 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

Carbon Black Based Fractional Order Element: Wien oscillator implementation.
Proceedings of the 6th International Conference on Control, 2019

2018
Temperature Model Identification of FTU Liquid Lithium Limiter.
IEEE Trans. Control. Syst. Technol., 2018

Deep Structures for a Reformer Unit Soft Sensor.
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

Input variables selection criteria for data-driven Soft Sensors design.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

A deep learning based soft sensor for a sour water stripping plant.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

Fractional order PI control of a gimbal platform.
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

A neural network approach for safety monitoring applications.
Proceedings of the IEEE Sensors Applications Symposium, 2016

2015
Complexity in forest fires: From simple experiments to nonlinear networked models.
Commun. Nonlinear Sci. Numer. Simul., 2015

2013
Multi-input identification of IP2C actuators.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013

A class of generalized orthonormal functions.
Proceedings of the 21st European Conference on Circuit Theory and Design, 2013

Evolutionary computation for model order reduction with Parametric Generalised SPA.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
An analytical approach to one-parameter MIMO systems passivity enforcement.
Int. J. Control, 2012

Cellular Nonlinear Networks to Analyze the Complexity of Foggy Paintings.
Complex Syst., 2012

2011
Soft Sensor design for a Topping process in the case of small datasets.
Comput. Chem. Eng., 2011

2009
Comparison of Soft-Sensor Design Methods for Industrial Plants Using Small Data Sets.
IEEE Trans. Instrum. Meas., 2009

FPGA based soft sensor for the estimation of the kerosene freezing point.
Proceedings of the IEEE Fourth International Symposium on Industrial Embedded Systems, 2009

A small scale viscometer based on IPMCs.
Proceedings of the 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009

2008
From Dynamical Emerging Patterns to Patterns in Visual Art.
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
Chaotic sequences to improve the performance of evolutionary algorithms.
IEEE Trans. Evol. Comput., 2003

SC-CNNs for Chaotic Signal Applications in Secure Communication Systems.
Int. J. Neural Syst., 2003

Modeling Complex Dynamics via Extended PWL-Based CNNs.
Int. J. Bifurc. Chaos, 2003

2002
An innovative intelligent system for sensor validation in tokamak machines.
IEEE Trans. Control. Syst. Technol., 2002

2001
A comparison between HMLP and HRBF for attitude control.
IEEE Trans. Neural Networks, 2001

A generalized Chua Cell for Realizing any continuous n-Segment piecewise-Linear Function.
Int. J. Bifurc. Chaos, 2001

A neural controller for a natural circulation loop.
Proceedings of the 6th European Control Conference, 2001

2000
Soft computing for greenhouse climate control.
IEEE Trans. Fuzzy Syst., 2000

Extending the CNN paradigm to approximate chaotic systems with multivariable nonlinearities.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

Modeling Unstable Behavior of a Natural Circulation Loop with a Neural Network.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Attitude Feedforward Neural Controller in Quaternion Algebra.
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
Multilayer Perceptrons to Approximate Quaternion Valued Functions.
Neural Networks, 1997

1995
Multilayer perceptrons to approximate complex valued functions.
Int. J. Neural Syst., 1995

Fast Learning by Weight Estimation in Complex Valued MLPs.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

1994
Predicting Complex Chaotic Time Series via Complex Valued MLPs.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

Neural Networks for Quaternion-valued Function Approximation.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

Genetic Algorithms for Controller Order Reduction.
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


  Loading...