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Carlos R. B. Azevedo
Carlos R. B. Azevedo
Ph.D. in Computer Engineering. Director, Data Science at Bain & Company
Verified email at bain.com - Homepage
Title
Cited by
Cited by
Year
Generalized immigration schemes for dynamic evolutionary multiobjective optimization
CRB Azevedo, AFR Araújo
2011 IEEE Congress of Evolutionary Computation (CEC), 2033-2040, 2011
532011
Correlation between diversity and hypervolume in evolutionary multiobjective optimization
CRB Azevedo, AFR Araújo
2011 IEEE Congress of Evolutionary Computation (CEC), 2743-2750, 2011
192011
A vision for human-machine mutual understanding, trust establishment, and collaboration
CRB Azevedo, K Raizer, R Souza
2017 IEEE Conference on Cognitive and Computational Aspects of Situation …, 2017
182017
A vision for human-machine mutual understanding, trust establishment, and collaboration
CRB Azevedo, K Raizer, R Souza
2017 IEEE Conference on Cognitive and Computational Aspects of Situation …, 2017
182017
Learning to Anticipate Flexible Choices in Multiple Criteria Decision-Making Under Uncertainty
CRB Azevedo, FJ Von Zuben
IEEE Transactions on Cybernetics, 2015
122015
A Framework for Knowledge Management and Automated Reasoning Applied on Intelligent Transport Systems
AV Feljan, A Karapantelakis, L Mokrushin, H Liang, R Inam, E Fersman, ...
arXiv preprint arXiv:1701.03000, 2017
102017
A Framework for Knowledge Management and Automated Reasoning Applied on Intelligent Transport Systems
AV Feljan, A Karapantelakis, L Mokrushin, H Liang, R Inam, E Fersman, ...
arXiv preprint arXiv:1701.03000, 2017
102017
Money in trees: How memes, trees, and isolation can optimize financial portfolios
C Aranha, CRB Azevedo, H Iba
Information Sciences 182 (1), 184-198, 2012
102012
The application of qubit neural networks for time series forecasting with automatic phase adjustment mechanism
CRB Azevedo, TAE Ferreira
Proc. XXVII Congr. Brazilian Comput. Sci. Soc.(VI Nat. Meeting Artif. Intell …, 2007
102007
Regularized hypervolume selection for robust portfolio optimization in dynamic environments
CRB Azevedo, FJ Von Zuben
2013 IEEE Congress on Evolutionary Computation, 2146-2153, 2013
82013
Adaptive terrain-based memetic algorithms
CRB Azevedo, VS Gordon
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
82009
An evolutionary approach for vector quantization codebook optimization
CRB Azevedo, EL Bispo, TAE Ferreira, F Madeiro, MS Alencar
International Symposium on Neural Networks, 452-461, 2008
82008
Anticipatory Stochastic Multi-Objective Optimization for Uncertainty Handling in Portfolio Selection
CRB Azevedo, FJ Von Zuben
Evolutionary Computation (CEC), 2013 IEEE Congress on, 2013
72013
Accelerating Industrial IoT Application Deployment through Reusable AI Components
SS Arumugam, R Badrinath, AH Herranz, J Höller, CRB Azevedo, B Xiao, ...
2019 Global IoT Summit (GIoTS), 1-4, 2019
62019
Anticipation in Multiple Criteria Decision-Making Under Uncertainty
CRB Azevedo
School of Electrical and Computer Engineering, University of Campinas, 2014
52014
A comparison of two simulators to support safety analysis in autonomous vehicles
C Molina, RIR GONZÁLEZ, JB CAMARGO, JR ALMEIDA, LF VISMARI, ...
Proc. Eur. Safety Rel. Conf.(ESREL), 273, 2017
42017
Terrain-Based Memetic Algorithms for Vector Quantizer Design
C Azevedo, F Azevedo, W Lopes, F Madeiro
Nature Inspired Cooperative Strategies for Optimization (NICSO 2008), 197-211, 2009
42009
Improving image vector quantization with a genetic accelerated k-means algorithm
CRB Azevedo, TAE Ferreira, WTA Lopes, F Madeiro
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2008
42008
Um algoritmo memético para a otimização de quantizadores vetoriais
CRB Azevedo, RA Azevedo, ELB Júnior, TAE Ferreira, WTA Lopes, ...
Learning and Nonlinear Models 5 (1), 1-15, 2008
42008
Key technology choices for optimal massive IoT devices
C Lundqvist, A Keränen, B Smeets, J Fornehed, CRB Azevedo, ...
Ericsson Review (English Edition) 98 (1), 48-59, 2019
32019
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Articles 1–20