Mimar Sinan Güzel Sanatlar Üniversitesi Açık Bilim, Sanat Arşivi
Açık Bilim, Sanat Arşivi, Mimar Sinan Güzel Sanatlar Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.MSGSÜ'de Ara
Yazar "Kocadagli, Ozan" için listeleme
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ChatGPT-assisted deep learning model for thyroid nodule analysis: beyond artifical intelligence
Mese, Ismail; İnan, Neslihan Gökmen; Kocadagli, Ozan; Salmaslioglu, Artur; Yildirim, Duzgun (Iuliu Hatieganu Medical Publishing House, 2023)Aims: To develop a deep learning model, with the aid of ChatGPT, for thyroid nodules, utilizing ultrasound images. The cytopathology of the fine needle aspiration biopsy (FNAB) serves as the baseline. Material and methods: ... -
Classification of EEG signals for epileptic seizures using hybrid artificial neural networks based wavelet transforms and fuzzy relations
Kocadagli, Ozan; Langari, Reza (Pergamon-Elsevier Science Ltd, 2017)Epilepsy is one of the most common central nervous system disorders. Epileptic people suffer from recurrent seizures depending on many trigger factors such as genetic, physiologic, brain damage, etc. Epileptic seizures ... -
Clinical prognosis evaluation of COVID-19 patients: An interpretable hybrid machine learning approach
Kocadagli, Ozan; Baygul, Arzu; Gokmen, Neslihan; Incir, Said; Aktan, Cagdas (Elsevier France-Editions Scientifiques Medicales Elsevier, 2022)This retrospective cohort study deals with evaluating severity of COVID-19 cases on the first symptoms and blood-test results of infected patients admitted to Emergency Department of Koc University Hospital (Istanbul, ... -
CREDIT SCORING BY ARTIFICIAL NEURAL NETWORKS BASED CROSS-ENTROPY AND FUZZY RELATIONS
Ilter, Damla; Kocadagli, Ozan (Yildiz Technical Univ, 2019)The credit scoring is one of the major activities in the banking sector. Because of growing market and increasing the loan applications, this field still continues its concern in terms of rating the applicants and assessing ... -
Fuzzy decision making in health systems: a resource allocation model
Ekin, Tahir; Kocadagli, Ozan; Bastian, Nathaniel D.; Fulton, Lawrence, V; Griffin, Paul M. (Elsevier, 2016)The efficient use of resources in health systems is important due to the increasing demand and limited funding. Large health systems often have fixed input resources (such as budget and staffing) to be allocated among ... -
Hybridized artificial neural network classifiers with a novel feature selection procedure based genetic algorithms and information complexity in credit scoring
Ilter, Damla; Deniz, Eylem; Kocadagli, Ozan (Wiley, 2021)The credit scoring is a statistical analysis performed by financial institutions to represent the creditworthiness of an individual or small and medium-sized enterprise. A credit score is a numerical quantity that can be ... -
Important factors affecting the transmission rate of COVID-19 in G20 and EU
Kocadagli, Ozan; Kose, Ali Mertcan; Gokmen Inan, Neslihan; Ozer, Ezgi; Yaman Kocadagli, Aylin; Bostanci, Ecem (Yildiz Technical Univ, 2022)Coronavirus 2019 (COVID-19) is an infectious respiratory disease that might be fatal to humans due to severe acute respiratory syndrome coronovirus-2. COVID-19 first appeared in Wuhan, China in 2019 and soon have spread ... -
Multi-class classification of thyroid nodules from automatic segmented ultrasound images: Hybrid ResNet based UNet convolutional neural network approach
Inan, Neslihan Gokmen; Kocadagli, Ozan; Yildirim, Duzgun; Mese, Ismail; Kovan, Ozge (Elsevier Ireland Ltd, 2024)Background and objectives: Early detection and diagnosis of thyroid nodule types are important because they can be treated more effectively in their early stages. The types of thyroid nodules are generally stated as atypia ... -
Nonlinear time series forecasting with Bayesian neural networks
Kocadagli, Ozan; Asikgil, Baris (Pergamon-Elsevier Science Ltd, 2014)The Bayesian learning provides a natural way to model the nonlinear structure as the artificial neural networks due to their capability to cope with the model complexity. In this paper, an evolutionary Monte Carlo (MC) ... -
A novel fuzzy goal programming approach with preemtive structure for optimal investment decisions
Keskin, Ridvan; Kocadagli, Ozan; Cinemre, Nalan (IOS Press, 2015)In this article, a novel portfolio selection model is proposed. This model is essentially based on the fuzzy goal programming with preemptive structure. In order to construct this model; the portfolio risk, the return ... -
A novel hybrid learning algorithm for full Bayesian approach of artificial neural networks
Kocadagli, Ozan (Elsevier Science Bv, 2015)The Bayesian neural networks are useful tools to estimate the functional structure in the nonlinear systems. However, they suffer from some complicated problems such as controlling the model complexity, the training time, ... -
A novel portfolio selection model based on fuzzy goal programming with different importance and priorities
Kocadagli, Ozan; Keskin, Ridvan (Pergamon-Elsevier Science Ltd, 2015)Despite the risk return tradeoff is main concern of financial theory; the rational investment decisions requires considering many criteria simultaneously. In addition to determining a certain importance and priority among ... -
Preictal phase detection on EEG signals using hybridized machine learning classifiers with a novel feature selection procedure based GAs and ICOMP
Kocadagli, Ozan; Ozer, Ezgi; Batista, Arnaldo G. (Pergamon-Elsevier Science Ltd, 2023)Epilepsy is the fourth most common neurological disorder, which affects the brain and brings out frequent seizures. They are bursts of electrical discharge that can cause a wide range of symptoms such as distraction or ... -
Unveiling Off-Target Mutations in CRISPR Guide RNAs: Implications for Gene Region Specificity
Kose, Ali Mertcan; Kocadagli, Ozan; Tastan, Cihan; Aktan, Cagdas; Unaldi, Onur Mert; Guzenge, Elanur; Erdil, Hamza Emir (Mary Ann Liebert, Inc, 2024)The revolutionary CRISPR-Cas9 technology has revolutionized genetic engineering, and it holds immense potential for therapeutic interventions. However, the presence of off-target mutations and mismatch capacity poses ... -
Wood-waste classification using interpretable machine learning
Erdil, Mehtap; Yilgor, Nural; Kocadagli, Ozan (Taylor & Francis, 2025)Determining and classifying the contents of wood wastes, which possess an extremely heterogeneous structure, is crucial for their optimal utilization. The heterogeneous nature of waste wood poses significant challenges for ...
