# Aluizio F. R. Araújo

According to our database

Collaborative distances:

^{1}, Aluizio F. R. Araújo authored at least 96 papers between 1994 and 2019.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Other## Links

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## Bibliography

2019

A neural network architecture for learning word-referent associations in multiple contexts.

Neural Networks, 2019

Multi-objective evolutionary algorithm with prediction in the objective space.

Inf. Sci., 2019

Control strategies for Hopf bifurcation in a chaotic associative memory.

Neurocomputing, 2019

Dynamic topology and relevance learning SOM-based algorithm for image clustering tasks.

Comput. Vis. Image Underst., 2019

A New Dynamic Multi-objective Evolutionary Algorithm without Change Detector.

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Many-Objective Evolutionary Algorithm Based On Decomposition With Random And Adaptive Weights.

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018

MOEA/D with uniformly randomly adaptive weights.

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Multi-Objective Evolutionary Algorithm with Gaussian Process Regression.

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Online incremental supervised growing neural gas.

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Gaussian Mixture Model based local search for Differential Evolution Algorithm.

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Modular Self-Organizing Control for Linear and Nonlinear Systems.

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Local adaptive receptive field dimension selective self-organizing map for multi-view clustering.

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Adaptive speech model for missing-feature reconstruction.

Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Searching a probabilistic model for differential evolution population.

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Dimension Selective Self-Organizing Maps With Time-Varying Structure for Subspace and Projected Clustering.

IEEE Trans. Neural Netw. Learning Syst., 2015

Self-Organizing Map With Time-Varying Structure to Plan and Control Artificial Locomotion.

IEEE Trans. Neural Netw. Learning Syst., 2015

Hopf Bifurcation in a Chaotic Associative Memory.

Neurocomputing, 2015

Evolutionary Algorithm with Diversity-Reference Adaptive Control in Dynamic Environments.

International Journal on Artificial Intelligence Tools, 2015

Differential Evolution-Based Parameter Tuning in Model-Free Adaptive Control.

Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014

Fast Coverage of N-Dimensional State Space Self-Organizing Map.

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

Self-organizing maps with a time-varying structure.

ACM Comput. Surv., 2013

Learning vector quantization with local adaptive weighting for relevance determination in Genome-Wide association studies.

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Modeling the Slow Wave Shapes of Spreading Depression in a Rat Cortex: A Methodology for Seeking Physiological Parameters.

IEEE Trans. Biomed. Engineering, 2012

A population dynamics model to describe gene frequencies in evolutionary algorithms.

Appl. Soft Comput., 2012

Recurrent Self-Organizing Maps for Recognition of Grasp Sequence of Movements.

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Dimension Selective Self-Organizing Maps for clustering high dimensional data.

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Modelling foraging ants in a dynamic and confined environment.

Biosyst., 2011

Reconstructing anatomical structures with growing self-reconstruction maps.

Proceedings of the IEEE International Conference on Systems, 2011

A memetic algorithm with one-step local search to guide diversity increase in Dynamic Multiobjective problems.

Proceedings of the IEEE International Conference on Systems, 2011

Adaptive evolutionary algorithm based on population dynamics for dynamic environments.

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Correlation between diversity and hypervolume in evolutionary multiobjective optimization.

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Generalized immigration schemes for dynamic evolutionary multiobjective optimization.

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Growing self-reconstruction maps.

IEEE Trans. Neural Networks, 2010

Growing Self-Organizing Surface Map: Learning a Surface Topology from a Point Cloud.

Neural Computation, 2010

MulRoGA: A Multicast Routing Genetic Algorithm approach considering multiple objectives.

Appl. Intell., 2010

A surface reconstruction method based on self-organizing maps and intrinsic Delaunay triangulation.

Proceedings of the International Joint Conference on Neural Networks, 2010

Occurrence of false memories: A neural module considering context for memorization of words lists.

Proceedings of the International Joint Conference on Neural Networks, 2010

A Self-Organizing Map for Controlling Artificial Locomotion.

Proceedings of the Artificial Neural Networks, 2010

A Novel Topological Map of Place Cells for Autonomous Robots.

Proceedings of the Artificial Neural Networks, 2010

2009

Local adaptive receptive field self-organizing map for image color segmentation.

Image Vis. Comput., 2009

A stochastic neural model for fast classification of binary images.

Proceedings of the International Joint Conference on Neural Networks, 2009

Surface Reconstruction Method Based on a Growing Self-Organizing Map.

Proceedings of the Artificial Neural Networks, 2009

Improving NSGA-II with an adaptive mutation operator.

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

The Growing Self-Organizing Surface Map: Improvements.

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

The growing Self-organizing surface Map.

Proceedings of the International Joint Conference on Neural Networks, 2008

Modeling ant colony foraging in dynamic and confined environment.

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Population dynamics model for gene frequency prediction in evolutionary algorithms.

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Diversity control based on population heterozygosity dynamics.

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Study of different approach to clustering data by using the Particle Swarm Optimization Algorithm.

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Adaptive Genetic Algorithms for Dynamic Channel Assignment in Mobile Cellular Communication Systems.

IEEE Trans. Vehicular Technology, 2007

Dynamic behaviors in chaotic bidirectional associative memory.

Journal of Intelligent and Fuzzy Systems, 2007

Self-organizing maps to generate state trajectories of manipulators.

Proceedings of the IEEE International Conference on Systems, 2007

A self-organizing state trajectory planner applied to an anthropomorphic robot hand.

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Growing Self-Organizing Maps for Surface Reconstruction from Unstructured Point Clouds.

Proceedings of the International Joint Conference on Neural Networks, 2007

Diversity-based model reference for genetic algorithms in dynamic environment.

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Influence zones: A strategy to enhance reinforcement learning.

Neurocomputing, 2006

The Brazilian Symposium on Neural Networks (SBRN'04).

Neurocomputing, 2006

Evolutionary Algorithm for 3D Object Reconstruction from Images.

Proceedings of the SBRN 2006, 2006

Hybrid model with dynamic architecture for forecasting time series.

Proceedings of the International Joint Conference on Neural Networks, 2006

Controlling Chaos in Chaotic Bidirectional Associative Memories.

Proceedings of the International Joint Conference on Neural Networks, 2006

Multiobjective Genetic Algorithm for Multicast Routing.

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Multicast Routing Using Genetic Algorithm Seen as a Permutation Problem.

Proceedings of the 20th International Conference on Advanced Information Networking and Applications (AINA 2006), 2006

2004

Identification and control of dynamical systems using the self-organizing map.

IEEE Trans. Neural Networks, 2004

Incremental topological reinforcement learning agent in non-structured environments.

Proceedings of the IEEE International Conference on Systems, 2004

Predictive Modeling and Planning of Robot Trajectories Using the Self-Organizing Map.

Proceedings of the Innovations in Applied Artificial Intelligence, 2004

Modeling Ant Behavior Under a Variable Environment.

Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2004

2003

A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case.

Neural Computation, 2003

A topological reinforcement learning agent for navigation.

Neural Computing and Applications, 2003

Self-Organizing Feature Maps for Modeling and Control of Robotic Manipulators.

Journal of Intelligent and Robotic Systems, 2003

Modeling and Production of Robot Trajectories Using the Temporal Parametrized Self Organizing Maps.

Int. J. Neural Syst., 2003

2002

A distributed robotic control system based on a temporal self-organizing neural network.

IEEE Trans. Systems, Man, and Cybernetics, Part C, 2002

Context in temporal sequence processing: a self-organizing approach and its application to robotics.

IEEE Trans. Neural Networks, 2002

A Stochastic Neural Model for Fast Identification of Spatiotemporal Sequences.

Neural Processing Letters, 2002

A Self-Organizing Context-Based Approach to the Tracking of Multiple Robot Trajectories.

Appl. Intell., 2002

Dynamic Modeling of Robotic Trajectories Using the Parametrized SOM.

Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

Dynamic channel assignment in mobile communications based on genetic algorithms.

Proceedings of the 13th IEEE International Symposium on Personal, 2002

Temporal associative memory and function approximation with the self-organizing map.

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map.

Proceedings of the Artificial Neural Networks, 2002

2001

Unsupervised Learning and Temporal Context to Recall Complex Robot Trajectories.

Int. J. Neural Syst., 2001

The influence of the radial basis function training strategy on the performance of a neural gripper.

Advanced Robotics, 2001

2000

Clustering Exploratory Activity in an Elevated Plus-Maze with Neural Networks.

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network.

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Unsupervised Learning and Recall of Temporal Sequences: An Application to Robotics.

Int. J. Neural Syst., 1999

A Neural Gripper for Arbitrary Object Grasping.

Connect. Sci., 1999

The role of the RBF training in a neural model for object grasping.

Proceedings of the Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients, 1999

Unsupervised context-based learning of multiple temporal sequences.

Proceedings of the International Joint Conference Neural Networks, 1999

1998

A partially recurrent neural network to perform trajectory planning, inverse kinematics, and inverse dynamics.

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Reward-penalty reinforcement learning scheme for planning and reactive behaviour.

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Context and Scale Influencing Clustering through Unsupervised Neural Networks.

Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998

Competitive and Temporal Hebbian Learning for Production of Robot Trajectories.

Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998

Goal-Directed Reinforcement Learning Using Variable Learning Rate.

Proceedings of the Advances in Artificial Intelligence, 1998

1997

Employing a Multiple Associative Memory Model for Temporal Sequence Reproduction.

J. Braz. Comp. Soc., 1997

The Role Played by Intralayer and Interlayer Feedback Connections in Recurrent Neural Networks used for Planning.

J. Braz. Comp. Soc., 1997

Temporal multidirectional associative memory: adaptable, continuous, and self-connected MAM.

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Two simple strategies to improve bidirectional associative memory's performance: unlearning and delta rule.

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1994

Memory, emotions and neural networks : associative learning and memory recall influenced by affective evaluation and task difficulty.

PhD thesis, 1994