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A New Initialization Approach in Particle Swarm Optimization for Global Optimization Problems

Computational intelligence and neuroscience, 2021, Vol.2021 (1), p.6628889-6628889

2021

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Computational Intelligence: International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers

1st ed. 2017., 2016

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Computational Intelligence: International Joint Conference, IJCCI 2016 Porto, Portugal, November 9-11, 2016 Revised Selected Papers

1st ed. 2019., 2018

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Computational Intelligence: International Joint Conference, IJCCI 2014 Rome, Italy, October 22-24, 2014 Revised Selected Papers

1, 2015

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Epilepsy Detection Based on Variational Mode Decomposition and Improved Sample Entropy

Computational intelligence and neuroscience, 2022-01, Vol.2022, p.6180441-11

2022

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A Novel Rank Aggregation-Based Hybrid Multifilter Wrapper Feature Selection Method in Software Defect Prediction

Computational intelligence and neuroscience, 2021, Vol.2021 (1), p.5069016-5069016

2021

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A Fault Prediction and Cause Identification Approach in Complex Industrial Processes Based on Deep Learning

Computational intelligence and neuroscience, 2021, Vol.2021 (1), p.6612342-6612342

2021

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Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing

Computational intelligence and neuroscience, 2020, Vol.2020 (2020), p.1-14

2020

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A Fused Multidimensional EEG Classification Method Based on an Extreme Tree Feature Selection

Computational intelligence and neuroscience, 2022-08, Vol.2022, p.1-10

2022

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Design of Deep Learning Model for Task-Evoked fMRI Data Classification

Computational intelligence and neuroscience, 2021, Vol.2021 (1), p.6660866-6660866

2021

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Identification of Visual Imagery by Electroencephalography Based on Empirical Mode Decomposition and an Autoregressive Model

Computational intelligence and neuroscience, 2022-01, Vol.2022, p.1038901-10

2022

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A Platoon-Based Adaptive Signal Control Method with Connected Vehicle Technology

Computational intelligence and neuroscience, 2020, Vol.2020 (2020), p.1-10

2020

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Action Intention Understanding EEG Signal Classification Based on Improved Discriminative Spatial Patterns

Computational intelligence and neuroscience, 2021, Vol.2021 (1), p.1462369-1462369

2021

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Weighted-Attribute Triplet Hashing for Large-Scale Similar Judicial Case Matching

Computational intelligence and neuroscience, 2021, Vol.2021 (1), p.6650962-6650962

2021

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A Fuzzy Radial Basis Adaptive Inference Network and Its Application to Time-Varying Signal Classification

Computational intelligence and neuroscience, 2021, Vol.2021 (1), p.5528291-5528291

2021

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A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure prediction

Scientific reports, 2021-02, Vol.11 (1), p.3415-3415, Article 3415

2021

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A Comparison between BCI Simulation and Neurofeedback for Forward/Backward Navigation in Virtual Reality

Computational intelligence and neuroscience, 2019, Vol.2019 (2019), p.1-12

2019

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Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm

Scientific reports, 2022-03, Vol.12 (1), p.4420-15, Article 4420

2022

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Epileptic seizure prediction using relative spectral power features

Clinical neurophysiology, 2015-02, Vol.126 (2), p.237-248

2015

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Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy

Scientific reports, 2021-03, Vol.11 (1), p.5987-5987, Article 5987

2021

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Addressing data limitations in seizure prediction through transfer learning

Scientific reports, 2024-06, Vol.14 (1), p.14169-11, Article 14169

2024

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A Realistic Seizure Prediction Study Based on Multiclass SVM

International journal of neural systems, 2017-05, Vol.27 (3), p.1750006

2017

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Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models

Scientific reports, 2023-04, Vol.13 (1), p.5918-5918, Article 5918

2023

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Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-10

2020

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Application of self-organizing map to identify nocturnal epileptic seizures

Neural computing & applications, 2020-12, Vol.32 (24), p.18225-18241

2020

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A New Initialization Approach in Particle Swarm Optimization for Global Optimization Problems

Computational Intelligence: International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers

Computational Intelligence: International Joint Conference, IJCCI 2016 Porto, Portugal, November 9-11, 2016 Revised Selected Papers

Computational Intelligence: International Joint Conference, IJCCI 2014 Rome, Italy, October 22-24, 2014 Revised Selected Papers

Epilepsy Detection Based on Variational Mode Decomposition and Improved Sample Entropy

A Novel Rank Aggregation-Based Hybrid Multifilter Wrapper Feature Selection Method in Software Defect Prediction

A Fault Prediction and Cause Identification Approach in Complex Industrial Processes Based on Deep Learning

Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing

A Fused Multidimensional EEG Classification Method Based on an Extreme Tree Feature Selection

Design of Deep Learning Model for Task-Evoked fMRI Data Classification

Identification of Visual Imagery by Electroencephalography Based on Empirical Mode Decomposition and an Autoregressive Model

A Platoon-Based Adaptive Signal Control Method with Connected Vehicle Technology

Action Intention Understanding EEG Signal Classification Based on Improved Discriminative Spatial Patterns

Weighted-Attribute Triplet Hashing for Large-Scale Similar Judicial Case Matching

A Fuzzy Radial Basis Adaptive Inference Network and Its Application to Time-Varying Signal Classification

A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure prediction

A Comparison between BCI Simulation and Neurofeedback for Forward/Backward Navigation in Virtual Reality

Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm

Epileptic seizure prediction using relative spectral power features

Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy

Addressing data limitations in seizure prediction through transfer learning

A Realistic Seizure Prediction Study Based on Multiclass SVM

Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models

Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy

Application of self-organizing map to identify nocturnal epileptic seizures

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