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Carlos R. B. Azevedo
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2010 – 2019
- 2019
- [c12]Senthamiz Selvi Arumugam, Ramamurthy Badrinath, Aitor Hernandez Herranz, Jan Höller, Carlos R. B. Azevedo, Bin Xiao, Valentin Tudor:
Accelerating Industrial IoT Application Deployment through Reusable AI Components. GIoTS 2019: 1-4 - 2017
- [c11]Carlos R. B. Azevedo, Klaus Raizer, Ricardo S. Souza:
A vision for human-machine mutual understanding, trust establishment, and collaboration. CogSIMA 2017: 1-3 - [c10]Aneta Vulgarakis Feljan, Athanasios Karapantelakis, Leonid Mokrushin, Rafia Inam, Elena Fersman, Carlos R. B. Azevedo, Klaus Raizer, Ricardo S. Souza:
KMARF: A Framework for Knowledge Management and Automated Reasoning. DIAS/EDUDM@ISEC 2017 - [i1]Aneta Vulgarakis Feljan, Athanasios Karapantelakis, Leonid Mokrushin, Hongxin Liang, Rafia Inam, Elena Fersman, Carlos R. B. Azevedo, Klaus Raizer, Ricardo S. Souza:
A Framework for Knowledge Management and Automated Reasoning Applied on Intelligent Transport Systems. CoRR abs/1701.03000 (2017) - 2016
- [j2]Carlos R. B. Azevedo
, Fernando J. Von Zuben
Learning to Anticipate Flexible Choices in Multiple Criteria Decision-Making Under Uncertainty. IEEE Trans. Cybern. 46(3): 778-791 (2016) - 2013
- [c9]Carlos R. B. Azevedo, Fernando J. Von Zuben
Anticipatory Stochastic Multi-Objective Optimization for uncertainty handling in portfolio selection. IEEE Congress on Evolutionary Computation 2013: 157-164 - [c8]Carlos R. B. Azevedo, Fernando J. Von Zuben
Regularized hypervolume selection for robust portfolio optimization in dynamic environments. IEEE Congress on Evolutionary Computation 2013: 2146-2153 - 2012
- [j1]Claus de Castro Aranha, Carlos R. B. Azevedo, Hitoshi Iba:
Money in trees: How memes, trees, and isolation can optimize financial portfolios. Inf. Sci. 182(1): 184-198 (2012) - [c7]André R. Gonçalves
The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study. ICANN (2) 2012: 148-155 - 2011
- [c6]Carlos R. B. Azevedo, Aluízio F. R. Araújo:
Generalized immigration schemes for dynamic evolutionary multiobjective optimization. IEEE Congress on Evolutionary Computation 2011: 2033-2040 - [c5]Carlos R. B. Azevedo, Aluízio F. R. Araújo:
Correlation between diversity and hypervolume in evolutionary multiobjective optimization. IEEE Congress on Evolutionary Computation 2011: 2743-2750
2000 – 2009
- 2009
- [c4]Carlos R. B. Azevedo, V. Scott Gordon:
Adaptive terrain-based memetic algorithms. GECCO 2009: 747-754 - 2008
- [c3]Carlos R. B. Azevedo, Tiago A. E. Ferreira
Improving Image Vector Quantization with a Genetic Accelerated K-Means Algorithm. ACIVS 2008: 67-76 - [c2]Carlos R. B. Azevedo, Esdras L. Bispo Jr.
An Evolutionary Approach for Vector Quantization Codebook Optimization. ISNN (1) 2008: 452-461 - [c1]Carlos R. B. Azevedo, Flávia E. A. G. Azevedo, Waslon Terllizzie A. Lopes
Terrain-Based Memetic Algorithms for Vector Quantizer Design. NICSO 2008: 197-211
Coauthor Index
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