Prof. GÖKHAN SİLAHTAROĞLU

Nəşr Şəbəkəsi

Məqalələr 14

1. Identifying the most critical side effects of antidepressant drugs: a new model proposal with quantum spherical fuzzy M-SWARA and DEMATEL techniques

SİLAHTAROĞLU G., DİNÇER H., YÜKSEL S., Keskin A., Yılmaztürk N., KILIÇ A.

BMC Medical Informatics and Decision Making , vol.24, no.1, 2024 (SCI-Expanded, Scopus)

2. Early prediction of the severe course, survival, and ICU requirements in acute pancreatitis by artificial intelligence

İnce A. T., SİLAHTAROĞLU G., Seven G., Koçhan K., Yıldız K., ŞENTÜRK H.

Pancreatology , vol.23, no.2, pp.176-186, 2023 (SCI-Expanded, Scopus)

3. Diagnosis of Covid-19 Via Patient Breath Data Using Artificial Intelligence

DOĞUÇ Ö., SİLAHTAROĞLU G., Canbolat Z. N., Hambarde K., Yiğitbaşı A. A., Gökay H., et al.

Emerging Science Journal , vol.7, no.Special issue, pp.105-113, 2023 (Scopus)

4. DISCOVERING THE CHEMICAL FACTORS BEHIND REGIONAL ROYAL JELLY DIFFERENCES VIA MACHINE LEARNING Makine Öğrenimi Yoluyla Bölgesel Arı Sütü Farklarının Arkasındaki Kimyasal Faktörleri Keşfetmek

Özkök A., KESKİN M., Tanuğur Samanci A. E., Yorulmaz Önder E., SİLAHTAROĞLU G.

Uludag Aricilik Dergisi , vol.23, no.1, pp.49-60, 2023 (Scopus, TRDizin)

5. Differentiating Gastrointestinal Stromal Tumors from Leiomyomas Using a Neural Network Trained on Endoscopic Ultrasonography Images

Seven G., SİLAHTAROĞLU G., Seven O. O., ŞENTÜRK H.

Digestive Diseases , vol.40, no.4, pp.427-435, 2022 (SCI-Expanded, Scopus)

6. Use of Artificial Intelligence in the Prediction of Malignant Potential of Gastric Gastrointestinal Stromal Tumors

Seven G., SİLAHTAROĞLU G., Kochan K., İNCE A. T., Arici D. S., ŞENTÜRK H.

Digestive Diseases and Sciences , vol.67, no.1, pp.273-281, 2022 (SCI-Expanded, Scopus)

7. An Early Warning System Using Machine Learning for the Detection of Intracranial Hematomas in the Emergency Trauma Setting

Aydoseli A., ÜNAL T. C., Kardes O., DOĞUÇ Ö., Dolas I., Adiyaman A. E., et al.

Turkish Neurosurgery , vol.32, no.3, pp.459-465, 2022 (SCI-Expanded, Scopus) Davamlı İnkişaf

8. How to engage consumers through effective social media use-guidelines for consumer goods companies from an emerging market

Aydin G., Uray N., SİLAHTAROĞLU G.

Journal of Theoretical and Applied Electronic Commerce Research , vol.16, no.4, pp.768-790, 2021 (SSCI, Scopus)

9. Preface

SİLAHTAROĞLU G., DİNÇER H., YÜKSEL S.

Multiple Criteria Decision Making , 2021 (Scopus)

10. Introduction

SİLAHTAROĞLU G., DİNÇER H., YÜKSEL S.

Multiple Criteria Decision Making , 2021 (Scopus)

11. Data analysis in health and big data: A machine learning medical diagnosis model based on patients’ complaints

SİLAHTAROĞLU G., Yılmaztürk N.

Communications in Statistics - Theory and Methods , vol.50, no.7, pp.1547-1556, 2021 (SCI-Expanded, Scopus) Davamlı İnkişaf

12. A machine learning approach to predict creatine kinase test results

Canbolat Z. N., SİLAHTAROĞLU G., DOĞUÇ Ö., Yılmaztürk N.

Emerging Science Journal , vol.4, no.4, pp.283-296, 2020 (Scopus)

13. Foreword

SİLAHTAROĞLU G.

Natural Language Processing for Global and Local Business , 2020 (Scopus)

14. Analysis waste water characteristics via data mining: A Muğla province case and external validation

Güller S., SİLAHTAROĞLU G., Akpolat O.

Communications in Statistics Case Studies Data Analysis and Applications , vol.5, no.3, pp.200-213, 2019 (Scopus)

Referensiya edilmiş Elmi İclaslarda dərc olunmuş məqalələr 3

1. Tree Fruit Load Calculation with Image Processing Techniques

Aral M., Misk N., SİLAHTAROĞLU G.

International Conference on Emerging Trends and Applications in Artificial Intelligence, ICETAI 2023, İstanbul, Turkey, 8 - 09 September 2023, vol.960, pp.137-147, (Full Text)

2. Data Analytics Implemented over E-commerce Data to Evaluate Performance of Supervised Learning Approaches in Relation to Customer Behavior

Hambarde K., SİLAHTAROĞLU G., Khamitkar S., Bhalchandra P., Shaikh H., Kulkarni G., et al.

8th International Conference on Soft Computing for Problem Solving, SocProS 2018, Vellore, India, 17 - 19 December 2018, vol.1048, pp.285-293, (Full Text)

3. Analysis and prediction of Ε-customers' behavior by mining clickstream data

SİLAHTAROĞLU G., Donertasli H.

3rd IEEE International Conference on Big Data, Big Data 2015, California, United States Of America, 29 October - 01 November 2015, pp.1466-1472, (Full Text)

Ölçülər

Nəşr

Nəşr (WoS)

Nəşr (Scopus)

İstinad (WoS)

137

H-indexi (WoS)

İstinad (Scopus)

208

H-indexi (Scopus)

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