1D-convolutional neural network and fast Walsh-Hadamard transform approach for diagnosing autism spectrum disorder.

Hanife Göker

Hanife Göker 1D-convolutional neural network and fast Walsh-Hadamard transform approach for diagnosing autism spectrum disorder. 13039-13057 2025 June 37 Neural Comput. Appl. 18 https://doi.org/10.1007/s00521-025-11208-3 db/journals/nca/nca37.html#Goker25 streams/journals/nca

Hanife Göker Multi-channel EEG-based classification of consumer preferences using multitaper spectral analysis and deep learning model. 40753-40771 2024 April 83 Multim. Tools Appl. 14 https://doi.org/10.1007/s11042-023-17114-x db/journals/mta/mta83.html#Goker24

Hanife Göker Mustafa Tosun Fast Walsh-Hadamard transform and deep learning approach for diagnosing psychiatric diseases from electroencephalography (EEG) signals. 23617-23630 2023 November 35 Neural Comput. Appl. 32 https://doi.org/10.1007/s00521-023-08971-6 db/journals/nca/nca35.html#GokerT23

Hanife Göker Automatic detection of migraine disease from EEG signals using bidirectional long-short term memory deep learning model. 1255-1263 2023 June 17 Signal Image Video Process. 4 https://doi.org/10.1007/s11760-022-02333-w db/journals/sivp/sivp17.html#Goker23

Hanife Göker 1D-convolutional neural network approach and feature extraction methods for automatic detection of schizophrenia. 2627-2636 2023 July 17 Signal Image Video Process. 5 https://doi.org/10.1007/s11760-022-02479-7 db/journals/sivp/sivp17.html#Goker23a

Hanife Göker Makine öğrenmesi teknikleri kullanılarak çocukluk çağı dikkat eksikliği ve hiperaktivite bozukluğunun tahmin edilmesine yönelik uzman sistem tasarımı (Expert system design for the prediction of attention deficit and hyperactivity disorder in childhood using machine learning techniques) Gazi University, Turkey 2019 https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=kDYKTj-nKN4Nx0MTQ52LNg&no=2X1FV740e6UDSKIP5ooxug Mustafa Tosun