Karla Tereza Figueiredo Leite
Karla Tereza Figueiredo Leite
Professor, UERJ
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Cited by
Cited by
Irregularity detection on low tension electric installations by neural network ensembles
C Muniz, K Figueiredo, M Vellasco, G Chavez, M Pacheco
2009 International Joint Conference on Neural Networks, 2176-2182, 2009
Location of faults generating short-duration voltage variations in distribution systems regions from records captured at one point and decomposed into damped sinusoids
L Lovisolo, JAM Neto, K Figueiredo, L de Menezes Laporte, ...
IET Generation, Transmission & Distribution 6 (12), 1225-1234, 2012
A Neuro-fuzzy System for Fraud Detection in Electricity Distribution.
C Muniz, MMBR Vellasco, R Tanscheit, K Figueiredo
IFSA/EUSFLAT Conf., 1096-1101, 2009
Intelligent multiagent coordination based on reinforcement hierarchical neuro-fuzzy models
LF Mendoza, M Vellasco, K Figueiredo
International Journal of Neural Systems 24 (08), 1450031, 2014
A portable fuzzy driver drowsiness estimation system
A Celecia, K Figueiredo, M Vellasco, R González
Sensors 20 (15), 4093, 2020
Explainable artificial intelligence for COVID-19 diagnosis through blood test variables
LM Thimoteo, MM Vellasco, J Amaral, K Figueiredo, CL Yokoyama, ...
Journal of Control, Automation and Electrical Systems 33 (2), 625-644, 2022
Design and development of an autonomous mobile robot for inspection of soy and cotton crops
WS Barbosa, AIS Oliveira, GBP Barbosa, AC Leite, KT Figueiredo, ...
2019 12th International Conference on Developments in eSystems Engineering …, 2019
Hybrid model based on genetic algorithms and neural networks to forecast tax collection: application using endogenous and exogenous variables
W Ticona, K Figueiredo, M Vellasco
2017 IEEE XXIV International Conference on Electronics, Electrical …, 2017
Redes neurais na identificaçao de perdas comerciais do setor elétrico
GVC Ortega
Rio de Janeiro, 2008
Modelo de previsão de vazão com informação de precipitação utilizando redes neurais
K Figueiredo, CRH Barbosa, AVA Cruz, M Vellasco, MAC Pacheco, ...
Revista Brasileira de Recursos Hídricos 12 (3), 69-82, 2007
Reinforcement learning/spl I. bar/hierarchical neuro-fuzzy politree model for control of autonomous agents
K Figueiredo, M Vellasco, M Pacheco, F Souza
Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 130-135, 2004
SimProxy decision support system: a neural network proxy applied to reservoir and surface integrated optimization
M Kohler, M Vellasco, E Silva, K Figueiredo
IEEE Systems Journal 14 (4), 5111-5120, 2020
Hierarchical neuro-fuzzy models based on reinforcement learning for intelligent agents
K Figueiredo, M Vellasco, MA Pacheco
International Work-Conference on Artificial Neural Networks, 424-432, 2005
Multi-agent systems with reinforcement hierarchical neuro-fuzzy models
MF Corrêa, M Vellasco, K Figueiredo
Autonomous agents and multi-agent systems 28, 867-895, 2014
Modified reinforcement learning-hierarchical neuro-fuzzy politree model for control of autonomous agents
K Figueiredo, M Vellasco, MA Pacheco, FJ Souza
International Journal of Simulation Sys., Sci. &Tech, UK 6 (10-11), 4-13, 2005
An evaluation framework for user experience using eye tracking, mouse tracking, keyboard input, and artificial intelligence: A case study
KES Souza, IL Aviz, HD Mello, K Figueiredo, MMBR Vellasco, FAR Costa, ...
International Journal of Human–Computer Interaction 38 (7), 646-660, 2022
Hierarchical neuro-fuzzy models based on reinforcement learning for autonomous agents
K Figueiredo, M Vellasco, M Pacheco, F de Souza
Int. J. Innov. Comput. Inf. Control 10 (4), 1471-1494, 2014
Interpretable machine learning for COVID-19 diagnosis through clinical variables
LM Thimoteo, MM Vellasco, JM do Amaral, K Figueiredo, CL Yokoyama, ...
Congresso Brasileiro de Automática-CBA 2 (1), 2020
Resource optimization for elective surgical procedures using quantum-inspired genetic algorithms
R González, M Vellasco, K Figueiredo
Proceedings of the Genetic and Evolutionary Computation Conference, 777-786, 2019
Modelos de cargas baseados em medições para simulações dinâmicas em sistemas elétricos de potência
IF Visconti
Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro-RJ, 2010
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