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Aluízio F. R. Araújo
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- affiliation: Federal University of Pernambuco, Recife, Brazil
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2020 – today
- 2024
- [j44]Hesdras O. Viana, Aluízio F. R. Araújo, Danilo S. Barbosa:
Self-organizing speech recognition that processes acoustic and articulatory features. Multim. Tools Appl. 83(13): 39169-39195 (2024) - [j43]Aluízio F. R. Araújo, Lucas R. C. de Farias, Antônio R. C. Gonçalves:
Self-organizing surrogate-assisted non-dominated sorting differential evolution. Swarm Evol. Comput. 91: 101703 (2024) - [i5]Lucas R. C. de Farias, Aluízio F. R. Araújo:
An Inverse Modeling Constrained Multi-Objective Evolutionary Algorithm Based on Decomposition. CoRR abs/2410.19203 (2024) - [i4]Cicero S. R. Mendes, Aluízio F. R. Araújo, Lucas R. C. de Farias:
Non-Dominated Sorting Bidirectional Differential Coevolution. CoRR abs/2410.19439 (2024) - 2023
- [c67]Adriel F. L. A. Da Silva, Marcondes Ricarte da Silva Júnior, Aluízio F. R. Araújo, Adrien Durand Petiteville:
Visual Place Recognition Under a High-Dimensional Subspace Clustering Perspective. LARS/SBR/WRE 2023: 508-513 - [c66]Cicero S. R. Mendes, Aluízio F. R. Araújo, Lucas R. C. de Farias:
Non-Dominated Sorting Bidirectional Differential Coevolution. SMC 2023: 1709-1714 - 2022
- [j42]Lucas R. C. de Farias, Aluízio F. R. Araújo:
A decomposition-based many-objective evolutionary algorithm updating weights when required. Swarm Evol. Comput. 68: 100980 (2022) - [c65]Marcondes R. da Silva, Aluízio F. R. Araújo:
Subspace Clustering Multi-module Self-organizing Maps with Two-Stage Learning. ICANN (4) 2022: 285-296 - 2021
- [j41]Elaine Guerrero-Peña, Aluízio F. R. Araújo:
Dynamic multi-objective evolutionary algorithm with objective space prediction strategy. Appl. Soft Comput. 107: 107258 (2021) - [j40]Fernanda Nakano Kazama, Aluízio Fausto Ribeiro Araújo, Paulo de Barros Correia, Elaine Guerrero-Peña:
Constraint-guided evolutionary algorithm for solving the winner determination problem. J. Heuristics 27(6): 1111-1150 (2021) - [j39]Anna Priscilla de Albuquerque, Judith Kelner, Patrick C. K. Hung, Bruno de Souza Jeronimo, Railton Silva Rocha Junior, Aluízio Fausto Ribeiro Araújo:
Toy user interface design - Tools for Child-Computer Interaction. Int. J. Child Comput. Interact. 30: 100307 (2021) - [j38]Felipe D. B. de Oliveira, Marcondes R. da Silva, Aluízio F. R. Araújo:
Spatio-temporal Data Association for Object-augmented Mapping. J. Intell. Robotic Syst. 103(1): 1 (2021) - [c64]Lucas R. C. de Farias, Aluízio F. R. Araújo:
IM-MOEA/D: An Inverse Modeling Multi-Objective Evolutionary Algorithm Based on Decomposition. SMC 2021: 462-467 - [c63]Danilo S. Barbosa, Aluízio F. R. Araújo, Eulogio Gutierrez-Huampo:
Voice Commanded System for Navigation of Mobile Robots. SMC 2021: 1087-1092 - 2020
- [j37]Aluízio F. R. Araújo, Victor Oliveira Antonino, Karina L. Ponce-Guevara:
Self-organizing subspace clustering for high-dimensional and multi-view data. Neural Networks 130: 253-268 (2020) - [j36]Paulo H. M. Ferreira, Aluízio F. R. Araújo:
Growing Self-Organizing Maps for Nonlinear Time-Varying Function Approximation. Neural Process. Lett. 51(2): 1689-1714 (2020) - [c62]Elaine Guerrero-Peña, Fernanda Nakano Kazama, Paulo de Barros Correia, Aluízio F. R. Araújo:
Solving constrained combinatorial reverse auctions using MOEAs: a comparative study. GECCO 2020: 193-200
2010 – 2019
- 2019
- [j35]Heitor R. Medeiros, Felipe D. B. de Oliveira, Hansenclever de F. Bassani, Aluízio F. R. Araújo:
Dynamic topology and relevance learning SOM-based algorithm for image clustering tasks. Comput. Vis. Image Underst. 179: 19-30 (2019) - [j34]André K. O. Tiba, Aluízio F. R. Araújo:
Control strategies for Hopf bifurcation in a chaotic associative memory. Neurocomputing 323: 157-174 (2019) - [j33]Elaine Guerrero-Pena, Aluízio Fausto Ribeiro Araújo:
Multi-objective evolutionary algorithm with prediction in the objective space. Inf. Sci. 501: 293-316 (2019) - [j32]Hansenclever F. Bassani, Aluízio F. R. Araújo:
A neural network architecture for learning word-referent associations in multiple contexts. Neural Networks 117: 249-267 (2019) - [c61]Elaine Guerrero-Peña, Aluízio F. R. Araújo:
A New Dynamic Multi-objective Evolutionary Algorithm without Change Detector. SMC 2019: 635-640 - [c60]Lucas R. C. de Farias, Aluízio F. R. Araújo:
Many-Objective Evolutionary Algorithm Based On Decomposition With Random And Adaptive Weights. SMC 2019: 3746-3751 - [i3]Hansenclever de F. Bassani, Aluízio F. R. Araújo:
A Neural Network Architecture for Learning Word-Referent Associations in Multiple Contexts. CoRR abs/1905.08300 (2019) - [i2]Lucas R. C. de Farias, Pedro H. M. Braga, Hansenclever de F. Bassani, Aluízio F. R. Araújo:
MOEA/D with Uniformly Randomly Adaptive Weights. CoRR abs/1908.05383 (2019) - 2018
- [c59]Elaine Guerrero-Pena, Aluízio F. R. Araújo:
Multi-Objective Evolutionary Algorithm with Gaussian Process Regression. CEC 2018: 1-8 - [c58]Lucas R. C. de Farias, Pedro H. M. Braga, Hansenclever de F. Bassani, Aluízio F. R. Araújo:
MOEA/D with uniformly randomly adaptive weights. GECCO 2018: 641-648 - 2017
- [c57]Elaine Guerrero-Pena, Aluízio F. R. Araújo:
A Gaussian Mixture Model based local search for Differential Evolution Algorithm. CEC 2017: 1885-1892 - [c56]Felipe Duque Belfort, Hansenclever de F. Bassani, Aluízio F. R. Araújo:
Online incremental supervised growing neural gas. IJCNN 2017: 1034-1040 - 2016
- [c55]P. Elaine Guerrero, Wagner J. F. Silva, Aluízio F. R. Araújo:
Searching a probabilistic model for differential evolution population. CEC 2016: 4069-4075 - [c54]Hesdras O. Viana, Aluízio F. R. Araújo:
Adaptive speech model for missing-feature reconstruction. DSP 2016: 104-108 - [c53]Victor Oliveira Antonino, Aluízio F. R. Araújo:
Local adaptive receptive field dimension selective self-organizing map for multi-view clustering. IJCNN 2016: 698-705 - [c52]Paulo Henrique Muniz Ferreira, Aluízio Fausto Ribeiro Araújo:
Modular Self-Organizing Control for Linear and Nonlinear Systems. WSOM 2016: 131-141 - 2015
- [j31]Maury Meirelles Gouvêa Jr., Aluízio F. R. Araújo:
Evolutionary Algorithm with Diversity-Reference Adaptive Control in Dynamic Environments. Int. J. Artif. Intell. Tools 24(1): 1450013:1-1450013:36 (2015) - [j30]André K. O. Tiba, Aluízio F. R. Araújo, Marcos N. Rabelo:
Hopf Bifurcation in a Chaotic Associative Memory. Neurocomputing 152: 109-120 (2015) - [j29]Hansenclever de F. Bassani, Aluízio F. R. Araújo:
Dimension Selective Self-Organizing Maps With Time-Varying Structure for Subspace and Projected Clustering. IEEE Trans. Neural Networks Learn. Syst. 26(3): 458-471 (2015) - [j28]Aluízio F. R. Araújo, Orivaldo V. Santana:
Self-Organizing Map With Time-Varying Structure to Plan and Control Artificial Locomotion. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1594-1607 (2015) - [c51]Judas Tadeu Gomes de Sousa, Juracy Emanuel M. da Franca, Aluízio Fausto Ribeiro Araújo:
Differential Evolution-Based Parameter Tuning in Model-Free Adaptive Control. SMC 2015: 1726-1731 - 2014
- [c50]Daniel de Filgueiras Gomes, Aluízio Fausto Ribeiro Araújo:
Fast Coverage of N-Dimensional State Space Self-Organizing Map. BRACIS 2014: 348-353 - 2013
- [j27]Aluízio F. R. Araújo, Renata L. M. E. do Rego:
Self-organizing maps with a time-varying structure. ACM Comput. Surv. 46(1): 7:1-7:38 (2013) - [c49]Flavia R. B. Araújo, Hansenclever de F. Bassani, Aluízio F. R. Araújo:
Learning vector quantization with local adaptive weighting for relevance determination in Genome-Wide association studies. IJCNN 2013: 1-8 - [i1]Arthur Gonçalves Carvalho, Aluízio F. R. Araújo:
Improving NSGA-II with an Adaptive Mutation Operator. CoRR abs/1305.4947 (2013) - 2012
- [j26]Maury Meirelles Gouvêa Jr., Aluízio F. R. Araújo:
A population dynamics model to describe gene frequencies in evolutionary algorithms. Appl. Soft Comput. 12(5): 1483-1492 (2012) - [j25]Hansenclever de F. Bassani, Aluízio F. R. Araújo, C. T. F. Barbosa, R. C. A. Guedes:
Modeling the Slow Wave Shapes of Spreading Depression in a Rat Cortex: A Methodology for Seeking Physiological Parameters. IEEE Trans. Biomed. Eng. 59(2): 515-524 (2012) - [c48]Hansenclever de F. Bassani, Aluízio F. R. Araújo:
Dimension Selective Self-Organizing Maps for clustering high dimensional data. IJCNN 2012: 1-8 - [c47]Paulo Henrique Muniz Ferreira, Aluízio Fausto Ribeiro Araújo:
Recurrent Self-Organizing Maps for Recognition of Grasp Sequence of Movements. SBRN 2012: 119-124 - 2011
- [j24]Elton Bernardo Bandeira de Melo, Aluízio Fausto Ribeiro Araújo:
Modelling foraging ants in a dynamic and confined environment. Biosyst. 104(1): 23-31 (2011) - [c46]Carlos R. B. Azevedo, Aluízio F. R. Araújo:
Generalized immigration schemes for dynamic evolutionary multiobjective optimization. IEEE Congress on Evolutionary Computation 2011: 2033-2040 - [c45]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 - [c44]Maury M. Gouvea Jr., Aluízio F. R. Araújo:
Adaptive evolutionary algorithm based on population dynamics for dynamic environments. GECCO 2011: 909-916 - [c43]Cícero Garrozi, Aluízio F. R. Araújo:
A memetic algorithm with one-step local search to guide diversity increase in Dynamic Multiobjective problems. SMC 2011: 649-654 - [c42]Renata L. M. E. do Rego, Paulo H. M. Ferreira, Aluízio F. R. Araújo:
Reconstructing anatomical structures with growing self-reconstruction maps. SMC 2011: 2976-2981 - 2010
- [j23]Aluízio Fausto Ribeiro Araújo, Cícero Garrozi:
MulRoGA: A Multicast Routing Genetic Algorithm approach considering multiple objectives. Appl. Intell. 32(3): 330-345 (2010) - [j22]Vilson L. DalleMole, Aluízio Fausto Ribeiro Araújo:
Growing Self-Organizing Surface Map: Learning a Surface Topology from a Point Cloud. Neural Comput. 22(3): 689-729 (2010) - [j21]Renata Lúcia Mendonça Ernesto do Rego, Aluízio Fausto Ribeiro Araújo, Fernando Buarque de Lima Neto:
Growing self-reconstruction maps. IEEE Trans. Neural Networks 21(2): 211-223 (2010) - [c41]Vilson L. DalleMole, Aluízio F. R. Araújo:
A Novel Topological Map of Place Cells for Autonomous Robots. ICANN (2) 2010: 296-306 - [c40]Orivaldo V. Santana, Aluízio F. R. Araújo:
A Self-Organizing Map for Controlling Artificial Locomotion. ICANN (2) 2010: 420-425 - [c39]Aluízio Fausto Ribeiro Araújo, Hansenclever de F. Bassani, Renato Ferrari Pacheco:
Occurrence of false memories: A neural module considering context for memorization of words lists. IJCNN 2010: 1-8 - [c38]Renata Lúcia Mendonça Ernesto do Rego, Aluízio Fausto Ribeiro Araújo:
A surface reconstruction method based on self-organizing maps and intrinsic Delaunay triangulation. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j20]Aluízio F. R. Araújo, Diogo C. Costa:
Local adaptive receptive field self-organizing map for image color segmentation. Image Vis. Comput. 27(9): 1229-1239 (2009) - [c37]Arthur Gonçalves Carvalho, Aluízio F. R. Araújo:
Improving NSGA-II with an adaptive mutation operator. GECCO (Companion) 2009: 2697-2700 - [c36]Renata L. M. E. do Rego, Hansenclever de F. Bassani, Daniel Filgueiras, Aluízio F. R. Araújo:
Surface Reconstruction Method Based on a Growing Self-Organizing Map. ICANN (1) 2009: 515-524 - [c35]Glauber M. Pires, Aluízio F. R. Araújo:
A stochastic neural model for fast classification of binary images. IJCNN 2009: 2547-2552 - 2008
- [c34]Maury M. Gouvea Jr., Aluízio F. R. Araújo:
Population dynamics model for gene frequency prediction in evolutionary algorithms. IEEE Congress on Evolutionary Computation 2008: 1603-1610 - [c33]Ahmed Ali Abdalla Esmin, Dilson Lucas Pereira, Aluízio F. R. Araújo:
Study of different approach to clustering data by using the Particle Swarm Optimization Algorithm. IEEE Congress on Evolutionary Computation 2008: 1817-1822 - [c32]Maury M. Gouvea Jr., Aluízio F. R. Araújo:
Diversity control based on population heterozygosity dynamics. IEEE Congress on Evolutionary Computation 2008: 3671-3678 - [c31]Elton Bernardo Bandeira de Melo, Aluízio F. R. Araújo:
Modeling ant colony foraging in dynamic and confined environment. GECCO 2008: 169-176 - [c30]Vilson L. DalleMole, Aluízio F. R. Araújo:
The growing Self-organizing surface Map. IJCNN 2008: 2061-2068 - [c29]Vilson L. DalleMole, Aluízio F. R. Araújo:
The Growing Self-Organizing Surface Map: Improvements. SBRN 2008: 183-188 - 2007
- [j19]Aluízio F. R. Araújo, Luciana P. P. Bueno, Marcília A. Campos:
Dynamic behaviors in chaotic bidirectional associative memory. J. Intell. Fuzzy Syst. 18(5): 513-523 (2007) - [j18]Marcos A. C. Lima, Aluízio F. R. Araújo, Amílcar C. César:
Adaptive Genetic Algorithms for Dynamic Channel Assignment in Mobile Cellular Communication Systems. IEEE Trans. Veh. Technol. 56(5): 2685-2696 (2007) - [c28]Maury M. Gouvea Jr., Aluízio F. R. Araújo:
Diversity-based model reference for genetic algorithms in dynamic environment. IEEE Congress on Evolutionary Computation 2007: 4639-4645 - [c27]Renata L. M. E. do Rego, Aluízio F. R. Araújo, Fernando Buarque de Lima Neto:
Growing Self-Organizing Maps for Surface Reconstruction from Unstructured Point Clouds. IJCNN 2007: 1900-1905 - [c26]Ruben Carlo Benante, Leonardo Marquez Pedro, Leandro Cuenca Massaro, Valdinei Luís Belini, Aluízio F. R. Araújo, Glauco Augusto de Paula Caurin:
A self-organizing state trajectory planner applied to an anthropomorphic robot hand. IROS 2007: 3082-3087 - [c25]Ruben Carlo Benante, Aluízio F. R. Araújo:
Self-organizing maps to generate state trajectories of manipulators. SMC 2007: 1590-1595 - 2006
- [j17]Aluízio F. R. Araújo, André Carlos Ponce de Leon Ferreira de Carvalho:
The Brazilian Symposium on Neural Networks (SBRN'04). Neurocomputing 70(1-3): 1-2 (2006) - [j16]Arthur Plínio de S. Braga, Aluízio F. R. Araújo:
Influence zones: A strategy to enhance reinforcement learning. Neurocomputing 70(1-3): 21-34 (2006) - [c24]Aluízio F. R. Araújo, Cícero Garrozi, Andre R. G. A. Leitao, Maury M. Gouvea Jr.:
Multicast Routing Using Genetic Algorithm Seen as a Permutation Problem. AINA (1) 2006: 477-484 - [c23]Cícero Garrozi, Aluízio F. R. Araújo:
Multiobjective Genetic Algorithm for Multicast Routing. IEEE Congress on Evolutionary Computation 2006: 2513-2520 - [c22]Gecynalda Soares da Silva Gomes, André Luis Santiago Maia, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Aluízio F. R. Araújo:
Hybrid model with dynamic architecture for forecasting time series. IJCNN 2006: 3742-3747 - [c21]Luciana P. P. Bueno, Aluízio F. R. Araújo:
Controlling Chaos in Chaotic Bidirectional Associative Memories. IJCNN 2006: 3983-3990 - [c20]Renata L. M. E. do Rego, Hansenclever de F. Bassani, Aluízio F. R. Araújo, Fernando Buarque de Lima Neto:
Evolutionary Algorithm for 3D Object Reconstruction from Images. SBRN 2006: 54-59 - 2004
- [j15]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Identification and control of dynamical systems using the self-organizing map. IEEE Trans. Neural Networks 15(5): 1244-1259 (2004) - [c19]Karla Vittori, Jacques Gautrais, Aluízio F. R. Araújo, Vincent Fourcassié, Guy Theraulaz:
Modeling Ant Behavior Under a Variable Environment. ANTS Workshop 2004: 190-201 - [c18]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Predictive Modeling and Planning of Robot Trajectories Using the Self-Organizing Map. IEA/AIE 2004: 1156-1165 - [c17]Arthur Plínio de S. Braga, Aluízio F. R. Araújo, Jeremy L. Wyatt:
Incremental topological reinforcement learning agent in non-structured environments. SMC (6) 2004: 5567-5572 - 2003
- [j14]Antonio C. Padoan Jr., Guilherme De A. Barreto, Aluízio F. R. Araújo:
Modeling and Production of Robot Trajectories Using the Temporal Parametrized Self Organizing Maps. Int. J. Neural Syst. 13(2): 119-127 (2003) - [j13]Guilherme De A. Barreto, Aluízio F. R. Araújo, Helge J. Ritter:
Self-Organizing Feature Maps for Modeling and Control of Robotic Manipulators. J. Intell. Robotic Syst. 36(4): 407-450 (2003) - [j12]Arthur Plínio de S. Braga, Aluízio F. R. Araújo:
A topological reinforcement learning agent for navigation. Neural Comput. Appl. 12(3-4): 220-236 (2003) - [j11]Guilherme De A. Barreto, Aluízio F. R. Araújo, Stefan C. Kremer:
A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case. Neural Comput. 15(6): 1255-1320 (2003) - 2002
- [j10]Aluízio F. R. Araújo, Guilherme De A. Barreto:
A Self-Organizing Context-Based Approach to the Tracking of Multiple Robot Trajectories. Appl. Intell. 17(1): 101-119 (2002) - [j9]Aluízio F. R. Araújo, André S. Henriques:
A Stochastic Neural Model for Fast Identification of Spatiotemporal Sequences. Neural Process. Lett. 16(3): 277-292 (2002) - [j8]Aluízio F. R. Araújo, Guilherme De A. Barreto:
Context in temporal sequence processing: a self-organizing approach and its application to robotics. IEEE Trans. Neural Networks 13(1): 45-57 (2002) - [j7]Guilherme De A. Barreto, Aluízio F. R. Araújo, C. Dücker, Helge J. Ritter:
A distributed robotic control system based on a temporal self-organizing neural network. IEEE Trans. Syst. Man Cybern. Part C 32(4): 347-357 (2002) - [c16]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map. ICANN 2002: 975-980 - [c15]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Temporal associative memory and function approximation with the self-organizing map. NNSP 2002: 109-118 - [c14]Marcos A. C. Lima, Aluízio F. R. Araújo, Amílcar C. César:
Dynamic channel assignment in mobile communications based on genetic algorithms. PIMRC 2002: 2204-2208 - [c13]Antonio C. Padoan Jr., Aluízio F. R. Araújo, Guilherme De A. Barreto:
Dynamic Modeling of Robotic Trajectories Using the Parametrized SOM. SBRN 2002: 195 - 2001
- [j6]Carlos M. O. Valente, A. Schammass, Aluízio F. R. Araújo, Glauco Augusto de Paula Caurin:
The influence of the radial basis function training strategy on the performance of a neural gripper. Adv. Robotics 14(8): 669-682 (2001) - [j5]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Unsupervised Learning and Temporal Context to Recall Complex Robot Trajectories. Int. J. Neural Syst. 11(1): 11-22 (2001) - [c12]Guilherme A. Barreto, Aluízio Fausto Ribeiro Araújo, C. Dücker, Helge J. Ritter:
A distributed robotic control system based on a temporal self-organizing neural network. SMC 2001: 335-340 - 2000
- [c11]André S. Henriques, Aluízio F. R. Araújo, Silvio Morato:
Clustering Exploratory Activity in an Elevated Plus-Maze with Neural Networks. IJCNN (4) 2000: 17-22 - [c10]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network. IJCNN (3) 2000: 207-212
1990 – 1999
- 1999
- [j4]Carlos M. O. Valente, Aluízio F. R. Araújo, Glauco Augusto de Paula Caurin, A. Schammass:
A Neural Gripper for Arbitrary Object Grasping. Connect. Sci. 11(3-4): 291-316 (1999) - [j3]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Unsupervised Learning and Recall of Temporal Sequences: An Application to Robotics. Int. J. Neural Syst. 9(3): 235-242 (1999) - [c9]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Unsupervised context-based learning of multiple temporal sequences. IJCNN 1999: 1102-1106 - [c8]Carlos M. O. Valente, A. Schammass, Aluízio F. R. Araújo, Glauco Augusto de Paula Caurin:
The role of the RBF training in a neural model for object grasping. IROS 1999: 430-435 - 1998
- [c7]Arthur Plínio de S. Braga, Aluízio F. R. Araújo:
Goal-Directed Reinforcement Learning Using Variable Learning Rate. SBIA 1998: 131-140 - [c6]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories. SBRN 1998: 96-101 - [c5]André S. Henriques, Aluízio F. R. Araújo:
Context and Scale Influencing Clustering through Unsupervised Neural Networks. SBRN 1998: 235-240 - [c4]Aluízio F. R. Araújo, Arthur P. S. Braga:
Reward-penalty reinforcement learning scheme for planning and reactive behaviour. SMC 1998: 1485-1490 - [c3]Aluízio F. R. Araújo, Hélio D'Arbo Jr.:
A partially recurrent neural network to perform trajectory planning, inverse kinematics, and inverse dynamics. SMC 1998: 1784-1789 - 1997
- [j2]Aluízio F. R. Araújo, Hélio D'Arbo Jr.:
The Role Played by Intralayer and Interlayer Feedback Connections in Recurrent Neural Networks used for Planning. J. Braz. Comput. Soc. 4(1) (1997) - [j1]Aluízio F. R. Araújo, Marcelo Vieira:
Employing a Multiple Associative Memory Model for Temporal Sequence Reproduction. J. Braz. Comput. Soc. 4(1) (1997) - [c2]Aluízio F. R. Araújo, Georves M. Haga:
Two simple strategies to improve bidirectional associative memory's performance: unlearning and delta rule. ICNN 1997: 1178-1182 - [c1]Aluízio F. R. Araújo, Marcelo Vieira:
Temporal multidirectional associative memory: adaptable, continuous, and self-connected MAM. ICNN 1997: 1194-1198 - 1994
- [b1]Aluízio Fausto Ribeiro Araújo:
Memory, emotions and neural networks : associative learning and memory recall influenced by affective evaluation and task difficulty. University of Sussex, UK, 1994
Coauthor Index
aka: Guilherme A. Barreto
aka: Hansenclever F. Bassani
aka: Renata Lúcia Mendonça Ernesto do Rego
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