Explainable artificial intelligence model for identifying COVID-19 gene biomarkers FH Yagin, İB Cicek, A Alkhateeb, B Yagin, C Colak, M Azzeh, S Akbulut Computers in Biology and Medicine 154, 106619, 2023 | 42 | 2023 |
A novel deep learning-based approach for segmentation of different type caries lesions on panoramic radiographs B Dayı, H Üzen, İB Çiçek, ŞB Duman Diagnostics 13 (2), 202, 2023 | 27 | 2023 |
Efficacy of laboratory tests and ultrasonography in the diagnosis of acute appendicitis in gravid patients according to the stages of pregnancy A Başkıran, V İnce, E Çiçek, T Şahin, A Dirican, İ Balıkçı Çiçek, B Işık, ... Ulus Travma Acil Cerrahi Derg 24 (4), 333-336, 2018 | 27 | 2018 |
Assessment of associative classification approach for predicting mortality by heart failure Z Tunç, İB Çiçek, E Güldoğan, C Çolak The Journal of Cognitive Systems 5 (2), 41-45, 2020 | 16 | 2020 |
Preoperative evaluation of liver volume in living donor liver transplantation. A Baskiran, AS Kahraman, IB Cicek, T Sahin, B Isik, S Yilmaz Northern clinics of Istanbul 5 (1), 1-5, 2017 | 15 | 2017 |
Classification of breast cancer on the strength of potential risk factors with boosting models: a public health informatics application A AKBULUT, İ BALIKÇI ÇİÇEK, C Colak HASEKI TIP BULTENI-MEDICAL BULLETIN OF HASEKI 60 (3), 2022 | 9 | 2022 |
Detection of risk factors of PCOS patients with Local Interpretable Model-agnostic Explanations (LIME) Method that an explainable artificial intelligence model İB Çiçek, Z Küçükakçalı, FH Yağın The Journal of Cognitive Systems 6 (2), 59-63, 2021 | 9 | 2021 |
Prediction of perforated and nonperforated acute appendicitis using machine learning-based explainable artificial intelligence S Akbulut, FH Yagin, IB Cicek, C Koc, C Colak, S Yilmaz Diagnostics 13 (6), 1173, 2023 | 8 | 2023 |
Classification of stroke with gradient boosting tree using smote-based oversampling method FH Yagin, IB Cicek, Z Kucukakcali Medicine 10 (4), 1510-5, 2021 | 7 | 2021 |
A novel interpretable web-based tool on the associative classification methods: an application on breast cancer dataset AK Arslan, Z Tunç, İB Çiçek, C Çolak The Journal of Cognitive Systems 5 (1), 33-40, 2020 | 7 | 2020 |
Open source web based software for random assignment/allocation methods in data processing AK Arslan, IB Çiçek, C Çolak 2019 International Artificial Intelligence and Data Processing Symposium …, 2019 | 7 | 2019 |
Development of a Python-Based Classification Web Interface for Independent Datasets ÇC Balıkçı Çiçek İpek, Sel İlhami, Yağın Fatma Hilal Balkan Journal of Electrical and Computer Engineering 10 (1), 91-96, 2022 | 5* | 2022 |
Performance evaluation of the deep learning models in the classification of heart attack and determination of related factors Z Tunç, İB Çiçek, E Güldoğan The Journal of Cognitive Systems 5 (2), 99-103, 2020 | 5 | 2020 |
Associative classification approach can predict prostate cancer based on the extracted association rules İB Çiçek, Z Küçükakçalı, C Çolak The Journal of Cognitive Systems 5 (2), 51-54, 2020 | 5 | 2020 |
Classification of prostate cancer and determination of related factors with different artificial neural network İB ÇİÇEK, Z KÜÇÜKAKÇALI Middle Black Sea Journal of Health Science 6 (3), 325-332, 2020 | 5 | 2020 |
Classification of hypothyroid disease with extreme learning machine model İB Çiçek, Z Küçükakçalı The Journal of Cognitive Systems 5 (2), 64-68, 2020 | 4 | 2020 |
A web-based application for identifying objects in images: object recognition software H UCUZAL, AGİB ÇİÇEK, AGAK ARSLAN, C ÇOLAK 2019 3rd International Symposium on Multidisciplinary Studies and Innovative …, 2019 | 4 | 2019 |
Assessment of COVID-19-Related Genes Through Associative Classification Techniques CÇ İpek BALIKÇI ÇİÇEK, Öğr Üyesi Mehmet Onur KAYA Konuralp Tıp Dergisi 14 (1), 1-8, 2022 | 3* | 2022 |
The effects of variable selection and dimension reduction methods on the classification model in the small round blue cell tumor dataset FH Yağın, Z Küçükakçalı, İB Çiçek, HG Bağ Middle Black Sea Journal of Health Science 7 (3), 390-396, 2021 | 3 | 2021 |
Determination Of Cryptosporidium Spp. Risk Factors Using Multilayer Perceptron Neural Network And Radial Based Functional Artificial Neural Network Method U Karaman, İB Çiçek The Journal of Cognitive Systems 5 (2), 83-87, 2020 | 3 | 2020 |