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Serhat Kılıçarslan

Observed names: KILIÇARSLAN, Serhat, SERHAT KILIÇARSLAN, Serhat KILICARSLAN, Serhat KILIÇARSLAN, Serhat Kilicarslan, Serhat Kiliçarslan, Serhat Kılıcarslan, serhat kılıçarslan
ORCID: 0000-0001-9483-4425
Observed ORCID: 0000-0001-9483-4425
OpenAlex ID: A5033556853
Classification and diagnosis of cervical cancer with stacked autoencoder and softmax classification
2018 · Kemal Adem, Serhat Kiliçarslan, et al. · Expert Systems with Applications · 191
Deep learning-based approaches for robust classification of cervical cancer
2023 · Ishak Pacal, Serhat Kılıcarslan · Neural Computing and Applications · 152
Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification
2020 · Serhat KILICARSLAN, Mete CELIK, et al. · Biomedical Signal Processing and Control · 132
RSigELU: A nonlinear activation function for deep neural networks
2021 · Serhat Kiliçarslan, Mete Celik · Expert Systems with Applications · 123
Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network
2020 · Serhat Kilicarslan, Kemal Adem, et al. · Medical Hypotheses · 118
An overview of the activation functions used in deep learning algorithms
2021 · Serhat Kılıçarslan, Kemal Adem, et al. · journal of new results in science · 79
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Detection and classification of pneumonia using novel Superior Exponential (SupEx) activation function in convolutional neural networks
2023 · Serhat Kiliçarslan, Cemil Közkurt, et al. · Expert Systems with Applications · 56
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
2022 · Serhat KILIÇARSLAN · Journal of Ambient Intelligence and Humanized Computing · 55
A comparative analysis of classical machine learning and deep learning techniques for predicting lung cancer survivability
2023 · Shigao Huang, Ibrahim Arpaci, et al. · Multimedia Tools and Applications · 49
Divorce Prediction Using Correlation Based Feature Selection and Artificial Neural Networks
2019 · Mustafa Kemal Yöntem, Kemal Adem, et al. · Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi · 41
Improved multi-layer hybrid adaptive particle swarm optimization based artificial bee colony for optimizing feature selection and classification of microarray data
2023 · Serhat Kiliçarslan, Emrah Dönmez · Multimedia Tools and Applications · 33
Efficient and autonomous detection of olive leaf diseases using AI-enhanced MetaFormer
2025 · Ishak Pacal, Serhat Kilicarslan, et al. · Artificial Intelligence Review · 29
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An effective feature extraction method for olive peacock eye leaf disease classification
2023 · Aykut Diker, Abdullah Elen, et al. · European Food Research and Technology · 24
A comparative study of bread wheat varieties identification on feature extraction, feature selection and machine learning algorithms
2023 · Serhat Kılıçarslan, Sabire Kılıçarslan · European Food Research and Technology · 24
Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network
2023 · Esra Kavalcı Yılmaz, Kemal Adem, et al. · European Food Research and Technology · 19
COVID-19 Diagnosis Prediction in Emergency Care Patients using the Convolutional Neural Network
2021 · Kemal ADEM, Serhat KILIÇARSLAN · Afyon Kocatepe University Journal of Sciences and Engineering · 19
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Fish Freshness Detection Through Artificial Intelligence Approaches: A Comprehensive Study
2024 · Sabire Kılıçarslan, Meliha Merve Hız Çiçekliyurt, et al. · Turkish Journal of Agriculture - Food Science and Technology · 17
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Performance Analysis of Optimization Algorithms on Stacked Autoencoder
2019 · Kemal ADEM, Serhat KILICARSLAN · International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) · 17
Classification of hazelnut varieties based on bigtransfer deep learning model
2024 · Emrah Dönmez, Serhat Kılıçarslan, et al. · European Food Research and Technology · 15
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Identification of apple varieties using hybrid transfer learning and multi-level feature extraction
2023 · Serhat Kılıçarslan, Emrah Dönmez, et al. · European Food Research and Technology · 15
Domates Yapraklarında Hastalık Tespiti İçin Transfer Öğrenme Metotlarının Kullanılması
2023 · Serhat KILIÇARSLAN, Ishak PACAL · Mühendislik Bilimleri ve Araştırmaları Dergisi · 15
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Parametric RSigELU: a new trainable activation function for deep learning
2024 · Serhat Kiliçarslan, Mete Celik · Neural Computing and Applications · 14
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A novel nonlinear hybrid HardSReLUE activation function in transfer learning architectures for hemorrhage classification
2022 · Serhat Kiliçarslan · Multimedia Tools and Applications · 14
Trish: an efficient activation function for CNN models and analysis of its effectiveness with optimizers in diagnosing glaucoma
2024 · Cemil Közkurt, Aykut Diker, et al. · The Journal of Supercomputing · 13
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Identification of multiclass tympanic membranes by using deep feature transfer learning and hyperparameter optimization
2024 · Serhat Kılıçarslan, Aykut Diker, et al. · Measurement · 12
Works count: 64
Citation count: 1,432
H-index: 17
I10-index: 31
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