Seda Bayat Toksöz profile image
Seda Bayat Toksöz Res. Assist. IGDIR UNIVERSITY
Publication 3 Review 5 CrossRef Cited 9 TR Dizin Cited 7
3 Publication
5 Review
9 CrossRef Cited
7 TR Dizin Cited
0000-0002-8427-9971

Research Fields

Computer Software Machine Learning Deep Learning Artificial Intelligence Artificial Intelligence (Other)

Institution

IGDIR UNIVERSITY

Publications

Efficient Adaptation of Large Language Models for Sentiment Analysis: A Fine-Tuning Approach
Authors: Seda Bayat Toksöz , Gültekin Işık
Published: 2025 , Journal of the Institute of Science and Technology
DOI: 10.21597/jist.1648466
FAVORITE 0 TOTAL DOWNLOAD COUNT 264

0

264

Evaluating the Effectiveness of Different Machine Learning Approaches for Sentiment Classification
Authors: Seda Bayat , Gültekin Işık
Published: 2023 , Journal of the Institute of Science and Technology
DOI: 10.21597/jist.1292050
FAVORITE 0 TOTAL DOWNLOAD COUNT 763

0

763

Recognition of Aras Bird Species From Their Voices With Deep Learning Methods
Authors: Seda Bayat , Gültekin Işık
Published: 2022 , Journal of the Institute of Science and Technology
DOI: 10.21597/jist.1124674
FAVORITE 0 TOTAL DOWNLOAD COUNT 1021

0

1021

Articles published in
Journal of the Institute of Science and Technology
Journal of the Institute of Science and Technology

Reviews

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi
Journal of the Institute of Science and Technology
Journal of the Institute of Science and Technology
Kahramanmaras Sutcu Imam University Journal of Engineering Sciences
Kahramanmaras Sutcu Imam University Journal of Engineering Sciences
Sakarya University Journal of Computer and Information Sciences
Sakarya University Journal of Computer and Information Sciences

Publications

Recognition of Aras Bird Species From Their Voices With Deep Learning Methods
Authors: Seda Bayat , Gültekin Işık
Published: 2022 , Journal of the Institute of Science and Technology
DOI: 10.21597/jist.1124674
CITED 9 FAVORITE 0 TOTAL DOWNLOAD COUNT 1021

9

0

1021

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