Ayça Çakmak Pehlivanlı profile image
Ayça Çakmak Pehlivanlı Prof. Dr. MIMAR SINAN FINE ARTS UNIVERSITY, FACULTY OF SCIENCE AND LETTERS
Publication 5 Review 5 CrossRef Cited 8 TR Dizin Cited 3
5 Publication
5 Review
8 CrossRef Cited
3 TR Dizin Cited
0000-0001-9884-6538

Research Fields

Machine Learning Reinforcement Learning Semi- and Unsupervised Learning Data Mining and Knowledge Discovery Statistics Biostatistics Statistical Analysis Applied Statistics

Institution

MIMAR SINAN FINE ARTS UNIVERSITY, FACULTY OF SCIENCE AND LETTERS

Publications

A Hybrid Metaheuristic based Feature Selection Framework for In-silico Mutagenicity Prediction
Authors: Özlem Yılmaz , Enis Gumustas , Ayça Çakmak Pehlivanlı
Published: 2024 , Journal of Intelligent Systems: Theory and Applications
DOI: 10.38016/jista.1468153
FAVORITE 0 TOTAL DOWNLOAD COUNT 282

0

282

Statistical Evaluation of Ensemble Learning Outcomes for Missing Value Problem in Imbalanced Class Distribution
Authors: Enis Gumustas , Ayça Çakmak Pehlivanlı
Published: 2023 , Süleyman Demirel University Journal of Natural and Applied Sciences
DOI: 10.19113/sdufenbed.1090596
FAVORITE 0 TOTAL DOWNLOAD COUNT 791

0

791

Hybrid Explainable Artifical Intelligence Design and LIME Application
Authors: Ayça Çakmak Pehlivanlı , Rahmi Ahmet Selim Deliloğlu
Published: 2021 , Avrupa Bilim ve Teknoloji Dergisi
DOI: 10.31590/ejosat.959030
FAVORITE 0 TOTAL DOWNLOAD COUNT 4121

0

4121

Statistical Learning Model for In-Silico Mutagenicity Prediction
Authors: Enis Gümüştaş , Ayça Çakmak Pehlivanlı
Published: 2021 , Süleyman Demirel University Journal of Natural and Applied Sciences
DOI: 10.19113/sdufenbed.867067
FAVORITE 0 TOTAL DOWNLOAD COUNT 1500

0

1500

Feature selection for drug discovery with hybrid usage of binary particle swarm optimization and support vector machines
Authors: Nilay Subaş, Ayça Çakmak Pehlivanlı
Published: 2021 , Gümüşhane University Journal of Science and Technology
DOI: 10.17714/gumusfenbil.776329
FAVORITE 0 TOTAL DOWNLOAD COUNT 1137

0

1137

Articles published in
Avrupa Bilim ve Teknoloji Dergisi
Avrupa Bilim ve Teknoloji Dergisi
Gümüşhane University Journal of Science and Technology
Gümüşhane University Journal of Science and Technology
Journal of Intelligent Systems: Theory and Applications
Journal of Intelligent Systems: Theory and Applications
Süleyman Demirel University Journal of Natural and Applied Sciences
Süleyman Demirel University Journal of Natural and Applied Sciences

Reviews

Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi
Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi
International Journal of Advances in Engineering and Pure Sciences
International Journal of Advances in Engineering and Pure Sciences
Konya Journal of Engineering Sciences
Konya Journal of Engineering Sciences
Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi
Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi

Publications

A Hybrid Metaheuristic based Feature Selection Framework for In-silico Mutagenicity Prediction
Authors: Özlem Yılmaz , Enis Gumustas , Ayça Çakmak Pehlivanlı
Published: 2024 , Journal of Intelligent Systems: Theory and Applications
DOI: 10.38016/jista.1468153
CITED 1 FAVORITE 0 TOTAL DOWNLOAD COUNT 282

1

0

282

Hybrid Explainable Artifical Intelligence Design and LIME Application
Authors: Ayça Çakmak Pehlivanlı , Rahmi Ahmet Selim Deliloğlu
Published: 2021 , Avrupa Bilim ve Teknoloji Dergisi
DOI: 10.31590/ejosat.959030
CITED 4 FAVORITE 0 TOTAL DOWNLOAD COUNT 4121

4

0

4121

Statistical Learning Model for In-Silico Mutagenicity Prediction
Authors: Enis Gümüştaş , Ayça Çakmak Pehlivanlı
Published: 2021 , Süleyman Demirel University Journal of Natural and Applied Sciences
DOI: 10.19113/sdufenbed.867067
CITED 1 FAVORITE 0 TOTAL DOWNLOAD COUNT 1500

1

0

1500

Feature selection for drug discovery with hybrid usage of binary particle swarm optimization and support vector machines
Authors: Nilay Subaş, Ayça Çakmak Pehlivanlı
Published: 2021 , Gümüşhane University Journal of Science and Technology
DOI: 10.17714/gumusfenbil.776329
CITED 2 FAVORITE 0 TOTAL DOWNLOAD COUNT 1137

2

0

1137

Popular Publications: It is determined automatically by the researchers doing research in DergiPark according to the statistics of being added to the favorites. CrossRef Cited: The citations shown in DergiPark are drawn from CrossRef. For this, the cited and cited articles must be registered in CrossRef (DOI number). ^: Citation numbers are reflected in the system by DergiPark at certain periods.
Interactive Guide Tool
If you want to see the panel introduction, you can click Start Tour.