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2020 – today
- 2024
[j9]Begum Mutlu
, Mehmet Eren Yesilyurt, Nazli Shahbazi, Mehmet Serdar Güzel, Ebru Akçapinar Sezer:
Early prediction of Sepsis: A comparative assessment on patients' covariates. Biomed. Signal Process. Control. 95: 106400 (2024)- [j8]Yunus Can Bilge, Begum Mutlu, Yunus Emre Esin:
BusEye: A multi-stream approach for driver behavior analysis on public bus driver cameras. Expert Syst. Appl. 245: 123148 (2024) - 2023
- [j7]Begum Mutlu, Ebru Akcapinar Sezer:
Enhanced sentence representation for extractive text summarization: Investigating the syntactic and semantic features and their contribution to sentence scoring. Expert Syst. Appl. 227: 120302 (2023) - 2022
- [c8]Begum Mutlu:
A Sliding Window Approach for Early Prediction of Sepsis. SIU 2022: 1-4 - 2021
- [j6]Begum Mutlu, Cemal Kazezoglu, Sertan Soylu, Ersen Uzunal, Ali Ozen Akyurek, Ebru Akcapinar Sezer:
An Auto-Approval Approach for Laboratory Test Assessment. IEEE Access 9: 138323-138344 (2021) - 2020
- [b1]Begum Mutlu:
Hibrit zeki sistem ile metin özetleme (Text summarization by hybrid intelligent system). Gazi University, Turkey, 2020 - [j5]Begum Mutlu, Ebru Akcapinar Sezer, M. Ali Akcayol:
Candidate sentence selection for extractive text summarization. Inf. Process. Manag. 57(6): 102359 (2020)
2010 – 2019
- 2019
- [j4]Begum Mutlu, Hakan Ahmet Nefeslioglu, Ebru Akcapinar Sezer, M. Ali Akcayol, Candan Gokceoglu:
An Experimental Research on the Use of Recurrent Neural Networks in Landslide Susceptibility Mapping. ISPRS Int. J. Geo Inf. 8(12): 578 (2019) - [j3]Begum Mutlu, Ebru Akçapinar Sezer, M. Ali Akcayol:
Multi-document extractive text summarization: A comparative assessment on features. Knowl. Based Syst. 183 (2019) - [c7]Begum Mutlu, Ebru Akcapinar Sezer:
A New Fuzzy Rule Generation Scheme based on Multiple-Selection of Influencing Factors. FUZZ-IEEE 2019: 1-6 - 2018
- [j2]M. Ali Akcayol, Anil Utku, Ebru Aydogan, Begum Mutlu:
A weighted multi-attribute-based recommender system using extended user behavior analysis. Electron. Commer. Res. Appl. 28: 86-93 (2018) - [c6]Begum Mutlu, Ebru Akcapinar Sezer, M. Ali Akcayol:
End-to-End Hierarchical Fuzzy Inference Solution. FUZZ-IEEE 2018: 1-9 - [c5]Murat Yilmaz, Begum Mutlu, Anil Utku, M. Ali Akcayol:
Deep learning approach for author verification problem on twitter. SIU 2018: 1-4 - 2017
- [j1]Begum Mutlu, Ebru Akcapinar Sezer, Hakan Ahmet Nefeslioglu:
A defuzzification-free hierarchical fuzzy system (DF-HFS): Rock mass rating prediction. Fuzzy Sets Syst. 307: 50-66 (2017) - [c4]Anil Utku, Ebru Aydogan, Begum Mutlu, M. Ali Akcayol:
A New Recommender System Based on Multiple Parameters and Extended User Behavior Analysis. ICIME 2017: 133-138 - 2016
- [c3]Begum Mutlu, Ebru Akcapinar Sezer:
Differentiations in Hierarchical Fuzzy Systems. WCSC 2016: 361-379 - 2015
- [c2]Begum Mutlu, Ebru Akcapinar Sezer, Hakan Ahmet Nefeslioglu:
Consequences of Structural Differences Between Hierarchical Systems While Fuzzy Inference. IWANN (1) 2015: 549-560 - 2012
- [c1]Esra Sahin, Begum Mutlu, Oktay Yildiz, Ebru Arikan Ozturk:
Traffic planning application made by using artificial intelligence (TPAUAI). SIU 2012: 1-4
Coauthor Index
aka: Ebru Akçapinar Sezer
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