Savas Yıldırım

Savas Yıldırım

Istanbul Bilgi Üniversitesi

H-index: 13

Asia-Turkey

About Savas Yıldırım

Savas Yıldırım, With an exceptional h-index of 13 and a recent h-index of 10 (since 2020), a distinguished researcher at Istanbul Bilgi Üniversitesi, specializes in the field of natural language processing, data mining, data science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks

Transfer learning for conflict and duplicate detection in software requirement pairs

Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data

Anaphoric Ambiguity Resolution in Software Requirement Texts

Sequence Labeling for Disambiguating Medical Abbreviations

Few-shot Learning Approaches to Software Requirement Quality Prediction

Software requirement specific entity extraction using transformer models.

Leveraging the power of Natural Language Processing for Financial Intelligence System

Savas Yıldırım Information

University

Position

___

Citations(all)

457

Citations(since 2020)

279

Cited By

229

hIndex(all)

13

hIndex(since 2020)

10

i10Index(all)

20

i10Index(since 2020)

11

Email

University Profile Page

Istanbul Bilgi Üniversitesi

Google Scholar

View Google Scholar Profile

Savas Yıldırım Skills & Research Interests

natural language processing

data mining

data science

Top articles of Savas Yıldırım

Title

Journal

Author(s)

Publication Date

Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks

arXiv preprint arXiv:2401.17396

Savas Yildirim

2024/1/30

Transfer learning for conflict and duplicate detection in software requirement pairs

arXiv preprint arXiv:2301.03709

Garima Malik

Savas Yildirim

Mucahit Cevik

Ayse Bener

Devang Parikh

2023/1/9

Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data

Mucahit Cevik

Savas Yildirim

Devang Parikh

Ayse Basar

2023/1/6

Anaphoric Ambiguity Resolution in Software Requirement Texts

Sanaz Mohammad Jafari

Savas Yildirim

Mucahit Cevik

Ayse Basar

2023/12/15

Sequence Labeling for Disambiguating Medical Abbreviations

Journal of Healthcare Informatics Research

Mucahit Cevik

Sanaz Mohammad Jafari

Mitchell Myers

Savas Yildirim

2023/12

Few-shot Learning Approaches to Software Requirement Quality Prediction

Savas Yildirim

Mucahit Cevik

Ayşe Başar

2023/9/11

Software requirement specific entity extraction using transformer models.

Garima Malik

Mucahit Cevik

Swayami Bera

Savas Yildirim

Devang Parikh

...

2022

Leveraging the power of Natural Language Processing for Financial Intelligence System

Özgür Uğur

Tuğberk Kalay

Osman Demirel

Savaş Yıldırım

2022/12/15

Token Classification for Disambiguating Medical Abbreviations

arXiv preprint arXiv:2210.02487

Mucahit Cevik

Sanaz Mohammad Jafari

Mitchell Myers

Savas Yildirim

2022/10/5

WEIMOS: Creep of rock salt at low deviatoric stresses

Christoph Lüdeling

Ralf-Michael Günther

Andreas Hampel

Junqing Sun-Kurczinski

Ralf Wolters

...

2022/7/5

Natural language processing for software requirement specifications

Mucahit Cevik

Savas Yildirim

Ayşe Başar

2021/11/22

Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques

Savaş Yıldırım

Meysam Asgari-Chenaghlu

2021/9/15

Building a non-personalized recommender system by learning product and basket representation

Savaş Yıldırım

Şebnem Güneş Söyler

Özgür Akarsu

2020/12/10

Calculation of Infiltration-cracks in the edge zone of Gas Storage Caverns with FLAC3D

Proc. of the 5th Int. Itasca Symp. on Applied Numerical Modeling. Itasca

Savaş Yıldırım

Dirk Zapf

Reinhard B Rokahr

2020/2/17

Comparing deep neural networks to traditional models for sentiment analysis in Turkish language

Deep learning-based approaches for sentiment analysis

Savaş Yildirim

2020

See List of Professors in Savas Yıldırım University(Istanbul Bilgi Üniversitesi)