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Clustering ensembles: A hedonic game theoretical approach

Pattern recognition, 2018-09, Vol.81, p.95-111

2018

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Kernel machines for epilepsy diagnosis via EEG signal classification: A comparative study

Artificial intelligence in medicine, 2011-10, Vol.53 (2), p.83-95

2011

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Tackling EEG signal classification with least squares support vector machines: A sensitivity analysis study

Computers in biology and medicine, 2010-08, Vol.40 (8), p.705-714

2010

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A bio-inspired crime simulation model

Decision Support Systems, 2009-12, Vol.48 (1), p.282-292

2009

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Data clustering via cooperative games: A novel approach and comparative study

Information sciences, 2021-02, Vol.545, p.791-812

2021

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A multi-view approach to multi-criteria decision making

International journal of information and decision sciences, 2023, Vol.15 (1), p.1

2023

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EEG signal classification for epilepsy diagnosis via optimum path forest – A systematic assessment

Neurocomputing (Amsterdam), 2014-07, Vol.136, p.103-123

2014

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Assessing fractal dimension methods as feature extractors for EMG signal classification

Engineering applications of artificial intelligence, 2014-11, Vol.36, p.81-98

2014

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A biclustering approach for classification with mislabeled data

Expert systems with applications, 2015-07, Vol.42 (12), p.5065-5075

2015

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A multi-view approach to multi-criteria decision making

International journal of information and decision sciences, 2023, Vol.15 (1), p.1

2023

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Integrating complementary techniques for promoting diversity in classifier ensembles: A systematic study

Neurocomputing (Amsterdam), 2014-08, Vol.138, p.347-357

2014

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Automatic EEG signal classification for epilepsy diagnosis with Relevance Vector Machines

Expert systems with applications, 2009-08, Vol.36 (6), p.10054-10059

2009

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Eliciting Correlated Weights for Multi-Criteria Group Decision Making with Generalized Canonical Correlation Analysis

Symmetry (Basel), 2020-10, Vol.12 (10), p.1612

2020

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Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms

Neural computing & applications, 2019-02, Vol.31 (Suppl 2), p.1317-1329

2019

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On query processing in wireless sensor networks using classes of quality of queries

Information fusion, 2014-01, Vol.15, p.44-55

2014

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Classification of electromyography signals using relevance vector machines and fractal dimension

Neural computing & applications, 2016-04, Vol.27 (3), p.791-804

2016

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On the evolutionary design of heterogeneous Bagging models

Neurocomputing (Amsterdam), 2010-10, Vol.73 (16), p.3319-3322

2010

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Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification

Information sciences, 2007-05, Vol.177 (10), p.2049-2074

2007

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Multi-objective design of hierarchical consensus functions for clustering ensembles via genetic programming

Decision Support Systems, 2011-11, Vol.51 (4), p.794-809

2011

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Inducing multi-objective clustering ensembles with genetic programming

Neurocomputing (Amsterdam), 2010-12, Vol.74 (1), p.494-498

2010

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Towards optimal police patrol routes with genetic algorithms

Lecture notes in computer science, 2006, p.485-491

2006

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On the concept of density control and its application to a hybrid optimization framework: Investigation into cutting problems

Computers & industrial engineering, 2011-10, Vol.61 (3), p.463-472

2011

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A Comparison of External Clustering Evaluation Indices in the Context of Imbalanced Data Sets

2012 Brazilian Symposium on Neural Networks, 2012, p.49-54

2012

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GAPatrol: An Evolutionary Multiagent Approach for the Automatic Definition of Hotspots and Patrol Routes

Advances in Artificial Intelligence - IBERAMIA-SBIA 2006, 2006, p.118-127

2006

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Visual object tracking by an evolutionary self-organizing neural network

Journal of intelligent & fuzzy systems, 2011, Vol.22 (2,3), p.69-81

2011

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Clustering ensembles: A hedonic game theoretical approach

Kernel machines for epilepsy diagnosis via EEG signal classification: A comparative study

Tackling EEG signal classification with least squares support vector machines: A sensitivity analysis study

A bio-inspired crime simulation model

Data clustering via cooperative games: A novel approach and comparative study

A multi-view approach to multi-criteria decision making

EEG signal classification for epilepsy diagnosis via optimum path forest – A systematic assessment

Assessing fractal dimension methods as feature extractors for EMG signal classification

A biclustering approach for classification with mislabeled data

A multi-view approach to multi-criteria decision making

Integrating complementary techniques for promoting diversity in classifier ensembles: A systematic study

Automatic EEG signal classification for epilepsy diagnosis with Relevance Vector Machines

Eliciting Correlated Weights for Multi-Criteria Group Decision Making with Generalized Canonical Correlation Analysis

Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms

On query processing in wireless sensor networks using classes of quality of queries

Classification of electromyography signals using relevance vector machines and fractal dimension

On the evolutionary design of heterogeneous Bagging models

Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification

Multi-objective design of hierarchical consensus functions for clustering ensembles via genetic programming

Inducing multi-objective clustering ensembles with genetic programming

Towards optimal police patrol routes with genetic algorithms

On the concept of density control and its application to a hybrid optimization framework: Investigation into cutting problems

A Comparison of External Clustering Evaluation Indices in the Context of Imbalanced Data Sets

GAPatrol: An Evolutionary Multiagent Approach for the Automatic Definition of Hotspots and Patrol Routes

Visual object tracking by an evolutionary self-organizing neural network

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