Carlos R. B. Azevedo

According to our database, Carlos R. B. Azevedo authored at least 15 papers between 2008 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Accelerating Industrial IoT Application Deployment through Reusable AI Components.

Senthamiz Selvi Arumugam, Ramamurthy Badrinath, Aitor Hernandez Herranz, Jan Höller, Carlos R. B. Azevedo, Bin Xiao, Valentin Tudor

Proceedings of the 2019 Global IoT Summit, 2019

2017

A Framework for Knowledge Management and Automated Reasoning Applied on Intelligent Transport Systems.

Aneta Vulgarakis Feljan, Athanasios Karapantelakis, Leonid Mokrushin, Hongxin Liang, Rafia Inam, Elena Fersman, Carlos R. B. Azevedo, Klaus Raizer, Ricardo S. Souza

CoRR, 2017

KMARF: A Framework for Knowledge Management and Automated Reasoning.

Aneta Vulgarakis Feljan, Athanasios Karapantelakis, Leonid Mokrushin, Rafia Inam, Elena Fersman, Carlos R. B. Azevedo, Klaus Raizer, Ricardo S. Souza

Proceedings of the Joint Proceedings of the 3rd Modelling Symposium (ModSym), 2017

A vision for human-machine mutual understanding, trust establishment, and collaboration.

Carlos R. B. Azevedo, Klaus Raizer, Ricardo S. Souza

Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2017

2016

Learning to Anticipate Flexible Choices in Multiple Criteria Decision-Making Under Uncertainty.

Carlos R. B. Azevedo, Fernando J. Von Zuben

IEEE Trans. Cybern., 2016

2013

Regularized hypervolume selection for robust portfolio optimization in dynamic environments.

Carlos R. B. Azevedo, Fernando J. Von Zuben

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Anticipatory Stochastic Multi-Objective Optimization for uncertainty handling in portfolio selection.

Carlos R. B. Azevedo, Fernando J. Von Zuben

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Money in trees: How memes, trees, and isolation can optimize financial portfolios.

Claus de Castro Aranha, Carlos R. B. Azevedo, Hitoshi Iba

Inf. Sci., 2012

The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study.

André R. Gonçalves, Rosana Veroneze, Salomão Sampaio Madeiro, Carlos R. B. Azevedo, Fernando J. Von Zuben

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Correlation between diversity and hypervolume in evolutionary multiobjective optimization.

Carlos R. B. Azevedo, Aluízio F. R. Araújo

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Generalized immigration schemes for dynamic evolutionary multiobjective optimization.

Carlos R. B. Azevedo, Aluízio F. R. Araújo

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2009

Adaptive terrain-based memetic algorithms.

Carlos R. B. Azevedo, V. Scott Gordon

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

Terrain-Based Memetic Algorithms for Vector Quantizer Design.

Carlos R. B. Azevedo, Flávia E. A. G. Azevedo, Waslon Terllizzie A. Lopes, Francisco Madeiro

Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2008

An Evolutionary Approach for Vector Quantization Codebook Optimization.

Carlos R. B. Azevedo, Esdras L. Bispo Jr., Tiago A. E. Ferreira, Francisco Madeiro, Marcelo Sampaio de Alencar

Proceedings of the Advances in Neural Networks, 2008

Improving Image Vector Quantization with a Genetic Accelerated K-Means Algorithm.

Carlos R. B. Azevedo, Tiago A. E. Ferreira, Waslon Terllizzie A. Lopes, Francisco Madeiro

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2008