| Comparing regression models with count data to artificial neural network and ensemble models for prediction of generic Escherichia coli population in agricultural ponds based … G Buyrukoğlu, S Buyrukoğlu, Z Topalcengiz Microbial Risk Analysis 19, 100171, 2021 | 27 | 2021 |
| Covid-19 impact on students’ performances in computer programming module based on formative assessment S Buyrukoğlu, Y Yılmaz, G Buyrukoğlu World Journal of Multidisciplinary Research 4 (1-2), 2021 | 1 | 2021 |
| Methodological Development and Advances for Joint Modelling of Longitudinal and Time-To-Event Data G Buyrukoglu PQDT-Global, 2018 | 1 | 2018 |
| COVİD-19'UN BİÇİMLENDİRİCİ DEĞERLENDİRMEYE DAYALI OLARAK BİLGİSAYAR PROGRAMLAMA DERSİNİ ALAN ÖĞRENCİLERİN PERFORMANSLARINA ETKİSİ S Buyrukoğlu, Y Yılmaz, G Buyrukoğlu Dünya Multidisipliner Araştırmalar Dergisi 4 (1-2), 87-94, 2021 | | 2021 |
| Dynamic Prediction of Excessive Daytime Sleepiness Through Random Survival Forest: An application of the PPMI data G BUYRUKOGLU Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 13 (1), 35-43, 0 | | |
| IV. ULUSLARARASI BİLİMSEL VE MESLEKİ ÇALIŞMALAR KONGRESİ–FEN VE SAĞLIK (BILMES SH 2019-ANKARA) ÖZET METİN BİLDİRİ KİTABI BVE MESLEKİ | | |
| FULLTEXT PROCEEDING BOOK MB AKIN, ZG YALÇIN, C TANIŞ | | |
| IV. INTERNATIONAL SCIENTIFIC AND VOCATIONAL STUDIES CONGRESS–SCIENCE AND HEALTH (BILMES SH 2019-ANKARA) BVE MESLEKİ, ÇKFENVE SAĞLIK | | |
Selim BuyrukogluAssoc. Prof. Dr. at Computer Science, Çankırı Karatekin University確認したメール アドレス: karatekin.edu.tr
