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ORCIDFrancisco Souza 0001
Person information
- affiliation: Radboud University, Institute for Molecules and Materials, Nijmegen, The Netherlands
- affiliation (PhD 2014): University of Coimbra Polo 2, Faculty of Sciences and Technology, Coimbra, Portugal
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2020 – today
- 2024
[j13]Tim Offermans, Ewa Szymanska, Francisco Alexandre A. Souza, Jeroen J. Jansen:
Process expert knowledge is essential in creating value from data-driven industrial soft sensors. Comput. Chem. Eng. 183: 108602 (2024)- [c18]Francisco Souza, Jasper Fabius, Shaojie Zhuang, Jan Vonk, Burcu Celikkol, Santiago Gaitan:
Modeling Humidity and Temperature Effects on Electrochemical Gas Sensors at Low Concentrations. I2MTC 2024: 1-6 - 2023
- [j12]Fátima C. C. Dargam, Erhard W. Perz
, Stefan Bergmann, Ekaterina Rodionova, Pedro Angelo Morais de Sousa, Francisco Alexandre A. Souza, Tiago Matias, Juan Manuel Ortiz, Abraham Esteve-Nuñez, Pau Rodenas, Patricia Zamora Bonachela:
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. 15(2): 1-20 (2023) - [j11]Jorge Sampaio Silveira Junior, Jérôme Mendes, Francisco Souza, Cristiano Premebida:
Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability. Int. J. Fuzzy Syst. 25(7): 2568-2589 (2023) - [j10]Francisco Souza, Tim Offermans, Ruud Barendse, Geert J. Postma, Jeroen J. Jansen:
Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling. IEEE Trans. Ind. Informatics 19(8): 9048-9059 (2023) - [c17]Jorge Alves, Pedro Sousa, Bárbara Matos, Jérôme Mendes, Francisco Souza, Tiago Matias:
Modular Cyber-Physical System for Smart Industry: a case study on energy load disaggregation. ICCAD 2023: 1-6 - [c16]Jorge Sampaio Silveira Junior, Jérôme Mendes, Francisco Souza, Cristiano Premebida:
Hybrid LSTM-Fuzzy System to Model a Sulfur Recovery Unit. ICINCO (2) 2023: 281-288 - 2022
- [j9]Francisco Souza, Cristiano Premebida, Rui Araújo:
High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection. Pattern Recognit. 131: 108895 (2022) - [c15]Francisco Souza, Tim Offermans, Jeroen J. Jansen:
Batch Endpoint Prediction using Local Mixture of Batch Time Experts. MetroXRAINE 2022: 613-617 - [i3]Francisco Souza, Cristiano Premebida, Rui Araújo:
High-Order Conditional Mutual Information Maximization for dealing with High-Order Dependencies in Feature Selection. CoRR abs/2207.08476 (2022) - [i2]Jorge Sampaio Silveira Junior, Jérôme Mendes, Francisco Souza, Cristiano Premebida:
Survey on Deep Fuzzy Systems in regression applications: a view on interpretability. CoRR abs/2209.04230 (2022) - [i1]Francisco Souza, Tim Offermans, Ruud Barendse, Geert J. Postma, Jeroen J. Jansen:
Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling. CoRR abs/2211.00558 (2022) - 2020
- [c14]Fátima C. C. Dargam, Erhard W. Perz, Stefan Bergmann, Ekaterina Rodionova, Pedro Angelo Morais de Sousa, Francisco Alexandre A. Souza, Tiago Matias, Juan Manuel Ortiz, Abraham Esteve-Nuñez, Pau Rodenas, Patricia Zamora Bonachela:
Supporting Operational Decisions on Desalination Plants from Process Modelling and Simulation to Monitoring and Automated Control with Machine Learning. ICDSST 2020: 150-164
2010 – 2019
- 2019
- [j8]Jérôme Mendes, Francisco Souza, Rui Araújo, Saeid Rastegar:
Neo-fuzzy neuron learning using backfitting algorithm. Neural Comput. Appl. 31(8): 3609-3618 (2019) - [c13]Jérôme Mendes, Francisco Alexandre A. Souza, Ricardo Maia, Rui Araújo:
Iterative Learning of Multiple Univariate Zero-Order T-S Fuzzy Systems. IECON 2019: 3803-3808 - 2018
- [j7]Carlos Alberto Coelho Belchior, Rui Alexandre Matos Araújo, Francisco Alexandre A. Souza, Jorge Afonso Cardoso Landeck:
Sensor-fault tolerance in a wastewater treatment plant by means of ANFIS-based soft sensor and control reconfiguration. Neural Comput. Appl. 30(10): 3265-3276 (2018) - [c12]Francisco Souza, Rui Araújo:
Mixture of Elastic Net Experts and its Application to a Polymerization Batch Process. INDIN 2018: 939-944 - 2017
- [c11]Jérôme Mendes, Francisco Souza, Rui Araújo:
Online evolving fuzzy control design: An application to a CSTR plant. INDIN 2017: 218-225 - [c10]Vasco Ferreira, Francisco Alexandre A. Souza, Rui Araújo:
Semi-supervised soft sensor and feature ranking based on co-regularised least squares regression applied to a polymerization batch process. INDIN 2017: 257-262 - 2015
- [j6]Leonaldo Silva Gomes, Francisco Souza, Ricardo Silva The Pontes, Tobias R. Fernandes Neto, Rui Alexandre Matos Araújo:
Coagulant Dosage Determination in a Water Treatment Plant Using Dynamic Neural Network Models. Int. J. Comput. Intell. Appl. 14(3): 1550013:1-1550013:18 (2015) - 2014
- [j5]Tiago Matias, Francisco Souza, Rui Araújo, Carlos Henggeler Antunes:
Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine. Neurocomputing 129: 428-436 (2014) - [j4]Francisco Souza, Rui Araújo:
Online Mixture of Univariate Linear Regression Models for Adaptive Soft Sensors. IEEE Trans. Ind. Informatics 10(2): 937-945 (2014) - [c9]Tiago Matias, Francisco Souza, Rui Araújo, Saeid Rastegar, Jérôme Mendes:
Adaptive identification and predictive control using an improved on-line sequential extreme learning machine. IECON 2014: 58-64 - 2013
- [j3]Jérôme Mendes, Rui Araújo, Francisco Souza:
Adaptive fuzzy identification and predictive control for industrial processes. Expert Syst. Appl. 40(17): 6964-6975 (2013) - [j2]Thiago N. de Castro, Francisco Souza, José M. B., Ricardo Silva The Pontes, Laurinda L. N. dos Reis, Sérgio Daher:
Neo-fuzzy neuron model for seasonal rainfall forecast: A case study of Ceara's eight homogenous regions. J. Intell. Fuzzy Syst. 25(2): 389-394 (2013) - [c8]Tiago Matias, Dulce Gabriel, Francisco Souza, Rui Araújo, J. Costa Pereira:
Fault detection and replacement of a temperature sensor in a cement rotary kiln. ETFA 2013: 1-8 - 2012
- [j1]Jérôme Mendes, Francisco Souza, Rui Araújo, Nuno Gonçalves:
Genetic fuzzy system for data-driven soft sensors design. Appl. Soft Comput. 12(10): 3237-3245 (2012) - [c7]Jérôme Mendes, Samuel Pinto, Rui Araújo, Francisco Souza:
Evolutionary fuzzy models for nonlinear identification. ETFA 2012: 1-8 - [c6]Francisco Souza, Rui Araújo:
An online variable selection method using recursive least squares. ETFA 2012: 1-8 - 2011
- [c5]Symone G. Soares, Rui Araújo, Pedro Angelo Morais de Sousa, Francisco Souza:
Design and application of Soft Sensor using Ensemble Methods. ETFA 2011: 1-8 - [c4]Francisco Souza, Rui Araújo:
Variable and time-lag selection using empirical data. ETFA 2011: 1-8 - [c3]Francisco Souza, Tiago Matias, Rui Araújo:
Co-evolutionary genetic Multilayer Perceptron for feature selection and model design. ETFA 2011: 1-7 - 2010
- [c2]Jérôme Mendes, Rui Araújo, Francisco Souza:
Adaptive fuzzy generalized predictive control based on Discrete-Time T-S fuzzy model. ETFA 2010: 1-8 - [c1]Francisco Souza, Pedro Santos, Rui Araújo:
Variable and delay selection using neural networks and mutual information for data-driven soft sensors. ETFA 2010: 1-8
Coauthor Index
aka: Rui Alexandre Matos Araújo
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