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João M. C. Sousa

Researcher at Instituto Superior Técnico

Publications -  365
Citations -  6454

João M. C. Sousa is an academic researcher from Instituto Superior Técnico. The author has contributed to research in topics: Fuzzy logic & Fuzzy control system. The author has an hindex of 38, co-authored 349 publications receiving 5516 citations. Previous affiliations of João M. C. Sousa include Polytechnic Institute of Leiria & Beth Israel Deaconess Medical Center.

Papers
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Journal ArticleDOI

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

Susana M. Vieira, +3 more
- 01 Aug 2013 - 
TL;DR: An enhanced version of binary particle swarm optimization, designed to cope with premature convergence of the BPSO algorithm is proposed, which can correctly select the discriminating input features and also achieve high classification accuracy.
MonographDOI

Fuzzy decision making in modeling and control

João M. C. Sousa, +1 more
TL;DR: This paper presents a meta-modelling framework for Model-Based Predictive Control that automates the very labor-intensive and therefore time-heavy and expensive process of designing and implementing model-based control systems.
Journal ArticleDOI

Overview of the JET results in support to ITER

X. Litaudon, +1228 more
- 15 Jun 2017 - 
TL;DR: In this paper, the authors reviewed the 2014-2016 JET results in the light of their significance for optimising the ITER research plan for the active and non-active operation, stressing the importance of the magnetic configurations and the recent measurements of fine-scale structures in the edge radial electric.
Journal ArticleDOI

Fuzzy predictive control applied to an air-conditioning system

João M. C. Sousa, +2 more
- 01 Oct 1997 - 
TL;DR: Comparisons with a nonlinear predictive control scheme based on iterative numerical optimization show that the proposed method requires fewer computations and achieves better performance.
Journal ArticleDOI

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

Federico Cismondi, +5 more
- 01 May 2013 - 
TL;DR: A statistical classifier followed by fuzzy modeling is used to more accurately determine which missing data should be imputed and which should not and this approach is able to significantly improve modeling performance parameters such as accuracy of classifications, sensitivity, and specificity.