Francisco Souza

Orcid: 0000-0001-6362-9349

Affiliations:
  • Radboud University, Institute for Molecules and Materials, Nijmegen, The Netherlands
  • University of Coimbra Polo 2, Faculty of Sciences and Technology, Coimbra, Portugal (PhD 2014)


According to our database1, Francisco Souza authored at least 29 papers between 2010 and 2023.

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

Timeline

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Bibliography

2023
Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability.
Int. J. Fuzzy Syst., October, 2023

Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling.
IEEE Trans. Ind. Informatics, August, 2023

Operational Decision-Making on Desalination Plants: From Process Modelling and Simulation to Monitoring and Automated Control With Machine Learning.
Int. J. Decis. Support Syst. Technol., 2023

Hybrid LSTM-Fuzzy System to Model a Sulfur Recovery Unit.
Proceedings of the 20th International Conference on Informatics in Control, 2023

Modular Cyber-Physical System for Smart Industry: a case study on energy load disaggregation.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

2022
High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection.
Pattern Recognit., 2022

Batch Endpoint Prediction using Local Mixture of Batch Time Experts.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

2020
Supporting Operational Decisions on Desalination Plants from Process Modelling and Simulation to Monitoring and Automated Control with Machine Learning.
Proceedings of the Decision Support Systems X: Cognitive Decision Support Systems and Technologies, 2020

2019
Neo-fuzzy neuron learning using backfitting algorithm.
Neural Comput. Appl., 2019

Iterative Learning of Multiple Univariate Zero-Order T-S Fuzzy Systems.
Proceedings of the IECON 2019, 2019

2018
Sensor-fault tolerance in a wastewater treatment plant by means of ANFIS-based soft sensor and control reconfiguration.
Neural Comput. Appl., 2018

Mixture of Elastic Net Experts and its Application to a Polymerization Batch Process.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

2017
Online evolving fuzzy control design: An application to a CSTR plant.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

Semi-supervised soft sensor and feature ranking based on co-regularised least squares regression applied to a polymerization batch process.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

2015
Coagulant Dosage Determination in a Water Treatment Plant Using Dynamic Neural Network Models.
Int. J. Comput. Intell. Appl., 2015

2014
Online Mixture of Univariate Linear Regression Models for Adaptive Soft Sensors.
IEEE Trans. Ind. Informatics, 2014

Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine.
Neurocomputing, 2014

Adaptive identification and predictive control using an improved on-line sequential extreme learning machine.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

2013
Neo-fuzzy neuron model for seasonal rainfall forecast: A case study of Ceara's eight homogenous regions.
J. Intell. Fuzzy Syst., 2013

Adaptive fuzzy identification and predictive control for industrial processes.
Expert Syst. Appl., 2013

Fault detection and replacement of a temperature sensor in a cement rotary kiln.
Proceedings of 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation, 2013

2012
Genetic fuzzy system for data-driven soft sensors design.
Appl. Soft Comput., 2012

An online variable selection method using recursive least squares.
Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation, 2012

Evolutionary fuzzy models for nonlinear identification.
Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation, 2012

2011
Co-evolutionary genetic Multilayer Perceptron for feature selection and model design.
Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011

Variable and time-lag selection using empirical data.
Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011

Design and application of Soft Sensor using Ensemble Methods.
Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011

2010
Variable and delay selection using neural networks and mutual information for data-driven soft sensors.
Proceedings of 15th IEEE International Conference on Emerging Technologies and Factory Automation, 2010

Adaptive fuzzy generalized predictive control based on Discrete-Time T-S fuzzy model.
Proceedings of 15th IEEE International Conference on Emerging Technologies and Factory Automation, 2010


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