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RSigELU: A nonlinear activation function for deep neural networks

Expert systems with applications, 2021-07, Vol.174, p.114805, Article 114805

2021

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A novel nonlinear hybrid HardSReLUE activation function in transfer learning architectures for hemorrhage classification

Multimedia tools and applications, 2023-02, Vol.82 (4), p.6345-6365

Kiliçarslan, Serhat

2023

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Classification and diagnosis of cervical cancer with softmax classification with stacked autoencoder

Expert systems with applications, 2019-01, Vol.115, p.557

2019

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Integrated approach to assessing strength in slag-based geopolymer mortars: experimental study and modeling with advanced techniques

Journal of materials science, 2024-05, Vol.59 (17), p.7258-7272

2024

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Parametric RSigELU: a new trainable activation function for deep learning

Neural computing & applications, 2024-05, Vol.36 (13), p.7595-7607

2024

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Detection and classification of pneumonia using novel Superior Exponential (SupEx) activation function in convolutional neural networks

Expert systems with applications, 2023-05, Vol.217, p.119503, Article 119503

2023

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Improved multi-layer hybrid adaptive particle swarm optimization based artificial bee colony for optimizing feature selection and classification of microarray data

Multimedia tools and applications, 2023-10, Vol.83 (26), p.67259-67281

2023

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αSechSig and αTanhSig: two novel non-monotonic activation functions

Soft computing (Berlin, Germany), 2023-12, Vol.27 (24), p.18451-18467

2023

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Adaptive Arctan kernel: a generalized kernel for support vector machine

Sadhana (Bangalore), 2024-03, Vol.49 (2), Article 120

2024

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PSO + GWO: a hybrid particle swarm optimization and Grey Wolf optimization based Algorithm for fine-tuning hyper-parameters of convolutional neural networks for Cardiovascular Disease Detection

Journal of ambient intelligence and humanized computing, 2023, Vol.14 (1), p.87-97

KILIÇARSLAN, Serhat

2023

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A comparative study of bread wheat varieties identification on feature extraction, feature selection and machine learning algorithms

European food research & technology, 2024, Vol.250 (1), p.135-149

2024

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KAF + RSigELU: a nonlinear and kernel-based activation function for deep neural networks

Neural computing & applications, 2022-08, Vol.34 (16), p.13909-13923

2022

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Classification of hazelnut varieties based on bigtransfer deep learning model

European food research & technology, 2024-05, Vol.250 (5), p.1433-1442

2024

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Atmospheric turbulence recognition with deep learning models for sinusoidal hyperbolic hollow Gaussian beams-based free-space optical communication links

Physica scripta, 2024-07, Vol.99 (7), p.75404

2024

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Identification of apple varieties using hybrid transfer learning and multi-level feature extraction

European food research & technology, 2024-03, Vol.250 (3), p.895-909

2024

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Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network

European food research & technology, 2023-06, Vol.249 (6), p.1655-1667

2023

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Identification of haploid and diploid maize seeds using hybrid transformer model

Multimedia systems, 2023-12, Vol.29 (6), p.3833-3845

2023

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Trish: an efficient activation function for CNN models and analysis of its effectiveness with optimizers in diagnosing glaucoma

The Journal of supercomputing, 2024, Vol.80 (11), p.15485-15516

2024

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A comparative analysis of classical machine learning and deep learning techniques for predicting lung cancer survivability

Multimedia tools and applications, 2023-09, Vol.82 (22), p.34183-34198

2023

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Classification and diagnosis of cervical cancer with stacked autoencoder and softmax classification

Expert systems with applications, 2019-01, Vol.115, p.557-564

2019

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The role of morphometric characteristics in predicting 20-meter sprint performance through machine learning

Scientific reports, 2024-07, Vol.14 (1), p.16593-15, Article 16593

2024

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An overview of the activation functions used in deep learning algorithms

Journal of New Results in Science, 2021-12, Vol.10 (3), p.75-88

2021

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Deep learning-based approaches for robust classification of cervical cancer

Neural computing & applications, 2023-09, Vol.35 (25), p.18813-18828

2023

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Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network

Medical hypotheses, 2020-04, Vol.137, p.109577-109577, Article 109577

2020

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Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification

Biomedical signal processing and control, 2021-01, Vol.63, p.102231, Article 102231

2021

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RSigELU: A nonlinear activation function for deep neural networks

A novel nonlinear hybrid HardSReLUE activation function in transfer learning architectures for hemorrhage classification

Classification and diagnosis of cervical cancer with softmax classification with stacked autoencoder

Integrated approach to assessing strength in slag-based geopolymer mortars: experimental study and modeling with advanced techniques

Parametric RSigELU: a new trainable activation function for deep learning

Detection and classification of pneumonia using novel Superior Exponential (SupEx) activation function in convolutional neural networks

Improved multi-layer hybrid adaptive particle swarm optimization based artificial bee colony for optimizing feature selection and classification of microarray data

αSechSig and αTanhSig: two novel non-monotonic activation functions

Adaptive Arctan kernel: a generalized kernel for support vector machine

PSO + GWO: a hybrid particle swarm optimization and Grey Wolf optimization based Algorithm for fine-tuning hyper-parameters of convolutional neural networks for Cardiovascular Disease Detection

A comparative study of bread wheat varieties identification on feature extraction, feature selection and machine learning algorithms

KAF + RSigELU: a nonlinear and kernel-based activation function for deep neural networks

Classification of hazelnut varieties based on bigtransfer deep learning model

Atmospheric turbulence recognition with deep learning models for sinusoidal hyperbolic hollow Gaussian beams-based free-space optical communication links

Identification of apple varieties using hybrid transfer learning and multi-level feature extraction

Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network

Identification of haploid and diploid maize seeds using hybrid transformer model

Trish: an efficient activation function for CNN models and analysis of its effectiveness with optimizers in diagnosing glaucoma

A comparative analysis of classical machine learning and deep learning techniques for predicting lung cancer survivability

Classification and diagnosis of cervical cancer with stacked autoencoder and softmax classification

The role of morphometric characteristics in predicting 20-meter sprint performance through machine learning

An overview of the activation functions used in deep learning algorithms

Deep learning-based approaches for robust classification of cervical cancer

Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network

Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification

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