Yasin Görmez

12 papers Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
GraphUnet-SS: A novel deep learning model for protein secondary structure prediction based on U-Net architecture.
Comput. Biol. Medicine
Yasin Görmez, Mostafa Sabzekar, Zafer Aydin
2025 J jnl
Developing Deep Learning Models for Turkish Automatic Punctuation Restoration Using a Novel Dataset.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Yasin Görmez, Halil Arslan, Mustafa Elyakan
2024 J jnl
A deep learning-based solution for digitization of invoice images with automatic invoice generation and labelling.
Int. J. Document Anal. Recognit.
Halil Arslan, Yunus Emre Isik, Yasin Görmez
2024 — conf
BayesianOptFs: Bayesian Optimization Based Novel Feature Selection Method for Classification Models.
SIU
Yasin Görmez
2024 J jnl
Customized deep learning based Turkish automatic speech recognition system supported by language model.
PeerJ Comput. Sci.
Yasin Görmez
2024 — conf
Machine Learning and Event-Based User and Entity Behavior Analysis.
SIU
Vedat Önal, Halil Arslan, Yasin Görmez
2024 J jnl
Machine learning and text mining based real-time semi-autonomous staff assignment system.
Comput. Sci. Inf. Syst.
Halil Arslan, Yunus Emre Isik, Yasin Görmez, Mustafa Temiz
2023 J jnl
IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yasin Görmez, Zafer Aydin
2022 — —
Developing deep learning models for protein structure prediction (Protein yapı tahmini için derin öğrenme modellerinin geliştirilmesi)
Yasin Görmez
2022 J jnl
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yunus Emre Isik, Yasin Görmez, Zafer Aydin, Burcu Bakir-Gungor
2021 J jnl
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.
npj Digit. Medicine
Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg
2020 — conf
Efficient and Scalable Broker Design for the Internet of Things Environments.
SIU
Yasin Görmez, Halil Arslan, Ömer Faruk Kelek