H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 34 Citations 5,112 245 World Ranking 3871 National Ranking 20

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

His primary scientific interests are in Fuzzy logic, Artificial intelligence, Mathematical optimization, Feature selection and Optimization problem. João M. C. Sousa regularly ties together related areas like Data mining in his Fuzzy logic studies. In his study, which falls under the umbrella issue of Artificial intelligence, Tree and Efficient energy use is strongly linked to Machine learning.

In the subject of general Mathematical optimization, his work in Ant colony optimization algorithms, Meta-optimization, Difference-map algorithm and Dynamic problem is often linked to Constraint satisfaction problem, thereby combining diverse domains of study. The study incorporates disciplines such as Regression analysis, Metering mode, Hematocrit and Predictive value of tests in addition to Feature selection. His Optimization problem research integrates issues from Discretization, Nonlinear programming, Control theory and Nonlinear system.

His most cited work include:

  • Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients (178 citations)
  • Fuzzy Decision Making in Modeling and Control (135 citations)
  • Fuzzy predictive control applied to an air-conditioning system (131 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Fuzzy logic, Artificial intelligence, Fuzzy control system, Control theory and Mathematical optimization. His Fuzzy logic research is multidisciplinary, relying on both Data mining and Model predictive control. In his work, Intensive care unit is strongly intertwined with Intensive care, which is a subfield of Data mining.

His Artificial intelligence research includes themes of Machine learning, Computer vision and Pattern recognition. His Control theory research includes elements of Control engineering and Fault detection and isolation. His Ant colony optimization algorithms, Optimization problem, Metaheuristic and Genetic algorithm study in the realm of Mathematical optimization connects with subjects such as Job shop scheduling.

He most often published in these fields:

  • Fuzzy logic (47.95%)
  • Artificial intelligence (28.42%)
  • Fuzzy control system (20.21%)

What were the highlights of his more recent work (between 2015-2021)?

  • Fuzzy logic (47.95%)
  • Fuzzy control system (20.21%)
  • Intensive care (6.16%)

In recent papers he was focusing on the following fields of study:

Fuzzy logic, Fuzzy control system, Intensive care, Data mining and Artificial intelligence are his primary areas of study. His research integrates issues of Building automation, Interpretability and Cluster analysis in his study of Fuzzy logic. He interconnects Control system and Software engineering in the investigation of issues within Fuzzy control system.

His Intensive care research is multidisciplinary, incorporating elements of Acute kidney injury, Intensive care unit and Emergency medicine. His study on Data mining is mostly dedicated to connecting different topics, such as Feature selection. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, Logistic regression and Pattern recognition.

Between 2015 and 2021, his most popular works were:

  • Classification of new electricity customers based on surveys and smart metering data (60 citations)
  • Comparative assessment of low-complexity models to predict electricity consumption in an institutional building: Linear regression vs. fuzzy modeling vs. neural networks (36 citations)
  • A Literature Survey on Open Platform Communications (OPC) Applied to Advanced Industrial Environments (29 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Statistics

João M. C. Sousa focuses on Fuzzy logic, Adhesive, Artificial intelligence, Cluster analysis and Data mining. João M. C. Sousa works on Fuzzy logic which deals in particular with Fuzzy control system. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Pattern recognition.

His Cluster analysis study which covers Consumption that intersects with Sample and Demand forecasting. In Data mining, he works on issues like Feature selection, which are connected to Metering mode, Regression analysis, Task and Survey data collection. João M. C. Sousa has researched Fuzzy clustering in several fields, including Fuzzy set operations, Fuzzy set, Fuzzy classification, Defuzzification and Neuro-fuzzy.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Fuzzy Decision Making in Modeling and Control

João M C Sousa;Uzay Kaymak.
(2002)

263 Citations

Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients

Susana M. Vieira;Luís F. Mendonça;Gonçalo J. Farinha;João M.C. Sousa.
Applied Soft Computing (2013)

230 Citations

Fuzzy predictive control applied to an air-conditioning system

J.M. Sousa;R. Babuška;H.B. Verbruggen.
Control Engineering Practice (1997)

226 Citations

Genetic algorithms for optimization in predictive control

C. Onnen;R. Babuška;U. Kaymak;J.M. Sousa.
Control Engineering Practice (1997)

167 Citations

Missing data in medical databases: Impute, delete or classify?

Federico Cismondi;André S. Fialho;Susana M. Vieira;Shane R. Reti.
Artificial Intelligence in Medicine (2013)

117 Citations

An architecture for fault detection and isolation based on fuzzy methods

L. F. Mendonça;J. M. C. Sousa;J. M. G. Sá da Costa.
Expert Systems With Applications (2009)

103 Citations

Distributed supply chain management using ant colony optimization

C.A. Silva;J.M.C. Sousa;T.A. Runkler;J.M.G. Sá da Costa.
European Journal of Operational Research (2009)

102 Citations

Efficiency, cost and life cycle CO2 optimization of fuel cell hybrid and plug-in hybrid urban buses

João P. Ribau;Carla M. Silva;João M.C. Sousa.
Applied Energy (2014)

100 Citations

Cohen's kappa coefficient as a performance measure for feature selection

Susana M. Vieira;Uzay Kaymak;Joao M. C. Sousa.
ieee international conference on fuzzy systems (2010)

97 Citations

Rescheduling and optimization of logistic processes using GA and ACO

C. A. Silva;J. M. C. Sousa;T. A. Runkler.
Engineering Applications of Artificial Intelligence (2008)

97 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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