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Refinado por: Base de dados/Biblioteca: IngentaConnect Journals remover
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1
Classification in the Presence of Label Noise: A Survey
Classification in the Presence of Label Noise: A Survey
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Classification in the Presence of Label Noise: A Survey

Frenay, Benoit ; Verleysen, Michel

IEEE transaction on neural networks and learning systems, 2014-05, Vol.25 (5), p.845-869

New York, NY: IEEE

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2
A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks
A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks
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A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks

Zhang, Huaguang ; Wang, Zhanshan ; Liu, Derong

IEEE transaction on neural networks and learning systems, 2014-07, Vol.25 (7), p.1229-1262

New York, NY: IEEE

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3
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach
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An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach

Jain, Himanshu ; Deb, Kalyanmoy

IEEE transactions on evolutionary computation, 2014-08, Vol.18 (4), p.602-622 [Periódico revisado por pares]

New York, NY: IEEE

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4
A survey of intrusion detection techniques in Cloud
A survey of intrusion detection techniques in Cloud
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A survey of intrusion detection techniques in Cloud

Modi, Chirag ; Patel, Dhiren ; Borisaniya, Bhavesh ; Patel, Hiren ; Patel, Avi ; Rajarajan, Muttukrishnan

Journal of network and computer applications, 2013-01, Vol.36 (1), p.42-57 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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5
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Bianchini, Monica ; Scarselli, Franco

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

New York, NY: IEEE

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6
A Grid-Based Evolutionary Algorithm for Many-Objective Optimization
A Grid-Based Evolutionary Algorithm for Many-Objective Optimization
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A Grid-Based Evolutionary Algorithm for Many-Objective Optimization

Yang, Shengxiang ; Li, Miqing ; Liu, Xiaohui ; Zheng, Jinhua

IEEE transactions on evolutionary computation, 2013-10, Vol.17 (5), p.721-736 [Periódico revisado por pares]

New York, NY: IEEE

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7
Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques
Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques
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Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques

Saleem, Muhammad ; Abbas, Sagheer ; Ghazal, Taher M. ; Adnan Khan, Muhammad ; Sahawneh, Nizar ; Ahmad, Munir

Egyptian informatics journal, 2022-09, Vol.23 (3), p.417-426 [Periódico revisado por pares]

Elsevier B.V

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8
Feature Learning for Image Classification Via Multiobjective Genetic Programming
Feature Learning for Image Classification Via Multiobjective Genetic Programming
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Feature Learning for Image Classification Via Multiobjective Genetic Programming

Shao, Ling ; Liu, Li ; Li, Xuelong

IEEE transaction on neural networks and learning systems, 2014-07, Vol.25 (7), p.1359-1371

New York, NY: IEEE

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9
Study on the Impact of Partition-Induced Dataset Shift on k-Fold Cross-Validation
Study on the Impact of Partition-Induced Dataset Shift on k-Fold Cross-Validation
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Study on the Impact of Partition-Induced Dataset Shift on k-Fold Cross-Validation

Moreno-Torres, J. G. ; Saez, J. A. ; Herrera, F.

IEEE transaction on neural networks and learning systems, 2012-08, Vol.23 (8), p.1304-1312

New York, NY: IEEE

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10
Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique
Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique
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Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique

Xu, Bin ; Yang, Chenguang ; Shi, Zhongke

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.635-641

New York, NY: IEEE

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