Adrião Duarte Dória Neto

According to our database1, Adrião Duarte Dória Neto authored at least 71 papers between 2002 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Parallel t-SNE Applied to Data Visualization in Smart Cities.
IEEE Access, 2020

2019
Deep reinforcement learning applied to the <i>k</i>-server problem.
Expert Syst. Appl., 2019

flowDiv: a new pipeline for analyzing flow cytometric diversity.
BMC Bioinform., 2019

Semi-supervised Classification Using Deep Learning.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Pipeline Inspection Gauge's Velocity Simulation Based on Pressure Differential Using Artificial Neural Networks.
Sensors, 2018

Fuzzy pay-off method for real options: The center of gravity approach with application in oilfield abandonment.
Fuzzy Sets Syst., 2018

Q-Learning with Dynamic Rewards Table Applied to the SONET/SDH Ring Problem.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Information State: A Representation for Dynamic Processes Using Information Theory.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
An Analysis of Information Dynamic Behavior Using Autoregressive Models.
Entropy, 2017

2016
A multi-level approach using genetic algorithms in an ensemble of Least Squares Support Vector Machines.
Knowl. Based Syst., 2016

A Combination Method for Reducing Dimensionality in Large Datasets.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Beamforming and Power Control in Sensor Arrays Using Reinforcement Learning.
Sensors, 2015

Synaptic Homeostasis and Restructuring across the Sleep-Wake Cycle.
PLoS Comput. Biol., 2015

Assessment of WirelessHART networks in closed-loop control system.
Proceedings of the IEEE International Conference on Industrial Technology, 2015

2014
On the parallel efficiency and scalability of the correntropy coefficient for image analysis.
J. Braz. Comput. Soc., 2014

Reactive Search strategies using Reinforcement Learning, local search algorithms and Variable Neighborhood Search.
Expert Syst. Appl., 2014

Use of Partial Reconfiguration for the Implementation and Embedding of the Artificial Neural Network (ANN) in FPGA.
Proceedings of the PECCS 2014, 2014

Trend-weighted rule-based expert system for process diagnosis.
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, 2014

BR-PlantExpert: A rule-based expert system for operation support in industrial processes.
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, 2014

2013
Representative cross information potential clustering.
Pattern Recognit. Lett., 2013

Atanassov's intuitionistic fuzzy probability and Markov chains.
Knowl. Based Syst., 2013

Information-theoretic clustering: A representative and evolutionary approach.
Expert Syst. Appl., 2013

Blind calibration of five-port receiver based on Independent Component Analysis (ICA).
Proceedings of the 2013 Wireless Telecommunications Symposium, 2013

Semantic alarm correlation based on ontologies.
Proceedings of 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation, 2013

Using IT Education to Reveal New Horizons - A Large Scale Case Study on Digital and Social Inclusion.
Proceedings of the CSEDU 2013, 2013

2012
Analysis of Multilayer Perceptron networks in the multicore era.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

FPGA based implementation of a Fuzzy Neural Network modular architecture for embedded systems.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

ARTMAP with Modified Internal Category Geometry to Reduce the Category Proliferation.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

RSGALS-SVM: Random Subspace Method Applied to a LS-SVM Ensemble Optimized by Genetic Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Overhead-Controlled Routing in WSNs with Reinforcement Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

An introduction interval kernel-Based methods applied on Support Vector Machines.
Proceedings of the Eighth International Conference on Natural Computation, 2012

Random Subspace Method and Genetic Algorithm Applied to a LS-SVM Ensemble.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Comparative Study on Information Theoretic Clustering and Classical Clustering Algorithms.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Ontology for industrial petrochemical processes: Case study of a DEA process.
Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation, 2012

2011
Relating De Morgan triples with Atanassov's intuitionistic De Morgan triples via automorphisms.
Int. J. Approx. Reason., 2011

A Framework for Interval Quantization and Application to Interval Based Algorithms in Digital Signal Processing.
Fundam. Informaticae, 2011

Modeling a system for monitoring an object using artificial neural networks and reinforcement learning.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Comparative study on dimension reduction techniques for cluster analysis of microarray data.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
A Neural Network Multiagent Architecture Applied to Industrial Networks for Dynamic Allocation of Control Strategies Using Standard Function Blocks.
IEEE Trans. Ind. Electron., 2010

Classification of multispectral images in coral environments using a hybrid of classifier ensembles.
Neurocomputing, 2010

Reinforcement Learning for Controlling a Coupled Tank System Based on the Scheduling of Different Controllers.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Intuitionistic Fuzzy Probability.
Proceedings of the Advances in Artificial Intelligence - SBIA 2010, 2010

An genetic approach to Support Vector Machines in classification problems.
Proceedings of the International Joint Conference on Neural Networks, 2010

Clustering Using Elements of Information Theory.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
New developmental stages for common marmosets (Callithrix jacchus) using mass and age variables obtained by K-means algorithm and self-organizing maps (SOM).
Comput. Biol. Medicine, 2009

A parallel hybrid implementation using genetic algorithm, GRASP and reinforcement learning.
Proceedings of the International Joint Conference on Neural Networks, 2009

Image processing for eye detection and classification of the gaze direction.
Proceedings of the International Joint Conference on Neural Networks, 2009

Soccer robot identification using Kernel based weighted least squares.
Proceedings of the International Joint Conference on Neural Networks, 2009

Creating an ensemble of diverse support vector machines using Adaboost.
Proceedings of the International Joint Conference on Neural Networks, 2009

Stereo Map Surface Calculus Optimization Using Radial Basis Functions Neural Network Interpolation.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Implementation and Evaluation of Modular Neural Networks in a Multiple Processor System on Chip to Classify Electric Disturbance.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008
An Adaptive Learning Approach for 3-D Surface Reconstruction From Point Clouds.
IEEE Trans. Neural Networks, 2008

Consonantal Recognition Using SVM and New Hierarchical Decision Structure Based in the Articulatory Phonetics.
Proceedings of the Tenth IEEE International Symposium on Multimedia (ISM2008), 2008

Using the Q-learning algorithm in the constructive phase of the GRASP and reactive GRASP metaheuristics.
Proceedings of the International Joint Conference on Neural Networks, 2008

Digit recognition using wavelet and SVM in Brazilian Portuguese.
Proceedings of the IEEE International Conference on Acoustics, 2008

A neural network multiagent architecture applied to fieldbus intelligent control.
Proceedings of 13th IEEE International Conference on Emerging Technologies and Factory Automation, 2008

European and American Audio-Visual Speech Recognition, Using SVM in Portuguese Language.
Proceedings of the 2008 Data Compression Conference (DCC 2008), 2008

2007
Mathematical morphology for two valued gray-scale images with undefined information.
Proceedings of the 8th ISMM 2007: Rio de Janeiro, Brazil - Volume 2, 2007

Proposal for Improvement of GRASP Metaheuristic and Genetic Algorithm Using the Q-Learning Algorithm.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Using Q-learning Algorithm for Initialization of the GRASP Metaheuristic and Genetic Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2007

Faults Detection and Isolation Based On Neural Networks Applied to a Levels Control System.
Proceedings of the International Joint Conference on Neural Networks, 2007

Brazilian Vowels Recognition using a New Hierarchical Decision Structure with Wavelet Packet and SVM.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Determination of multiple direction of arrival in antennas arrays with radial basis functions.
Neurocomputing, 2006

Intelligent System for Feature Extraction of Oil Slick in SAR Images: Speckle Filter Analysis.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

A New Hierarchical Decision Structure Using Wavelet Packet and SVM for Brazilian Phonemes Recognition.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Hierarchical Reinforcement Learning for Metrical Task Systems.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Logistic regression for parameter tuning on an evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2003
An Efficient Approach to the Travelling Salesman Problem Using Self-Organizing Maps.
Int. J. Neural Syst., 2003

A ProtoG Algorithm Applied to the Traveling Salesman Problem.
Proceedings of the 23rd International Conference of the Chilean Computer Science Society (SCCC 2003), 2003

2002
An Efficient Approach of the SOM Algorithm to the Traveling Salesman Problem.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

A Feed Forward Neural Network with Resolution Properties for Function Approximation and Modeling.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002


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