| Fuzzy joint points based clustering algorithms for large data sets E Nasibov, C Atilgan, ME Berberler, R Nasiboglu Fuzzy sets and Systems 270, 111-126, 2015 | 20 | 2015 |
| WABL method as a universal defuzzifier in the fuzzy gradient boosting regression model R Nasiboglu, E Nasibov Expert Systems with Applications 212, 118771, 2023 | 18 | 2023 |
| Estimation of the second hand car prices from data extracted via web scraping techniques R Nasiboglu, A Akdogan Journal of Modern Technology & Engineering 5 (2), 157-166, 2020 | 12 | 2020 |
| Dijkstra solution algorithm considering fuzzy accessibility degree for patch optimization problem R Nasiboglu Applied Soft Computing 130, 109674, 2022 | 11 | 2022 |
| A new model to determine the hierarchical structure of the wireless sensor networks R Nasiboğlu, ZT Erten Turkish Journal of Electrical Engineering and Computer Sciences 27 (6), 4023 …, 2019 | 10 | 2019 |
| Analytical formulations for the level based weighted average value of discrete trapezoidal fuzzy numbers R Nasiboglu, R Abdullayeva arXiv preprint arXiv:1810.05110, 2018 | 10 | 2018 |
| COMPARISON OF SPACY AND STANFORD LIBRARIES'PRE-TRAINED DEEP LEARNING MODELS FOR NAMED ENTITY RECOGNITION. R Nasiboglu, M Gencer Journal of Modern Technology & Engineering 6 (2), 2021 | 9 | 2021 |
| Learning the stress function pattern of ordered weighted average aggregation using DBSCAN clustering R Nasiboglu, BT Tezel, E Nasibov International Journal of Intelligent Systems 34 (3), 477-492, 2019 | 7 | 2019 |
| Adlandırılmış Varlık Tanıma Modelleri ile Türkçe Sosyal Medya Metinlerinde Küfürlü Sözlerin Sansürlenmesi R Nasiboglu, M Gencer Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi 23 (1), 72-88, 2023 | 4 | 2023 |
| FyzzyGBR—A gradient boosting regression software with fuzzy target values R Nasiboglu, E Nasibov Software Impacts 14, 100430, 2022 | 4 | 2022 |
| A monitoring system to prepare machine learning data sets for earthquake prediction based on seismic-acoustic signals A Vahaplar, BT Tezel, R Nasiboglu, E Nasibov 2015 9th International Conference on Application of Information and …, 2015 | 4 | 2015 |
| An approach to solution of verbal stated Mathematical problems R Nasiboglu Journal of Modern Technology and Engineering 5 (1), 25-35, 2020 | 2 | 2020 |
| Using fuzzy c-regression approach to obtain stress functions for OWA operators BT Tezel, R Nasiboglu, E Nasibov 2017 International Conference on Computer Science and Engineering (UBMK …, 2017 | 2 | 2017 |
| ANALYSIS OF DIFFERENT APPROACHES TO REGRESSION PROBLEM WITH FUZZY INFORMATION. R Nasiboglu Journal of Modern Technology & Engineering, 2023 | 1 | 2023 |
| A NOVEL FUZZY INFERENCE MODEL WITH RULE-BASED DEFUZZIFICATION APPROACH. R Nasiboglu Journal of Modern Technology & Engineering 7 (2), 2022 | 1 | 2022 |
| Otobüs İçi Yoğunluk Oranını Dikkate Alan Bulanık Optimal Güzergah Öneri Modeli ve Çözüm Algoritması R Nasiboglu Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 25 (2), 432-440, 2021 | 1 | 2021 |
| Comparison of Different Classification Algorithms for Extraction Information from Invoice Images Using an N-Gram Approach R Nasiboglu, A Akdoğan Avrupa Bilim ve Teknoloji Dergisi, 991-1003, 2021 | 1 | 2021 |
| A statistical approach to mining the DM strategy for OWA operators R Nasiboglu, BT Tezel 2016 IEEE 10th International Conference on Application of Information and …, 2016 | 1 | 2016 |
| Comparative analysis of the optimal route recommendation models based on city public transportation network data R Nasiboglu, MS Rusiman, MHI Koroglu, E Nasibov Problems of Information Society, 14-23, 2024 | | 2024 |
| The Comparison of Fuzzy Regression Approaches with and without Clustering Method in Predicting Manufacturing Income N Ramly, MS Rusiman, E Nasibov, R Nasiboglu Journal of Advanced Research in Applied Sciences and Engineering Technology …, 2024 | | 2024 |
