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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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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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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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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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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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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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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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Pattern classification with mixtures of weighted least-squares support vector machine experts

Neural computing & applications, 2009-10, Vol.18 (7), p.843-860

2009

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Self-organized and Social Models of Criminal Activity in Urban Environments

Ant Colony Optimization and Swarm Intelligence, 2006, p.518-519

2006

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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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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 bio-inspired crime simulation model

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

2009

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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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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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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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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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Mining Coherent Biclusters with Fish School Search

Advances in Swarm Intelligence, 2011, p.573-582

2011

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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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Ensembling Heterogeneous Learning Models with Boosting

Neural Information Processing, 2009, p.512-519

2009

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Genetic Versus Nearest-Neighbor Imputation of Missing Attribute Values for RBF Networks

Advances in Neuro-Information Processing, 2009, p.276-283

2009

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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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On the evolutionary design of heterogeneous Bagging models

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

2010

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

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

Automatic EEG signal classification for epilepsy diagnosis with Relevance Vector Machines

Assessing fractal dimension methods as feature extractors for EMG signal classification

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

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

Classification of electromyography signals using relevance vector machines and fractal dimension

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

Pattern classification with mixtures of weighted least-squares support vector machine experts

Self-organized and Social Models of Criminal Activity in Urban Environments

Towards optimal police patrol routes with genetic algorithms

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

A bio-inspired crime simulation model

Inducing multi-objective clustering ensembles with genetic programming

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

Clustering ensembles: A hedonic game theoretical approach

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

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

Mining Coherent Biclusters with Fish School Search

A biclustering approach for classification with mislabeled data

Ensembling Heterogeneous Learning Models with Boosting

Genetic Versus Nearest-Neighbor Imputation of Missing Attribute Values for RBF Networks

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

On the evolutionary design of heterogeneous Bagging models

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