Yasin Görmez

Orcid: 0000-0001-8276-2030

According to our database1, Yasin Görmez authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A deep learning-based solution for digitization of invoice images with automatic invoice generation and labelling.
Int. J. Document Anal. Recognit., March, 2024

Machine learning and text mining based real-time semi-autonomous staff assignment system.
Comput. Sci. Inf. Syst., 2024

2023
IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022
Developing deep learning models for protein structure prediction (Protein yapı tahmini için derin öğrenme modellerinin geliştirilmesi)
PhD thesis, 2022

The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.
npj Digit. Medicine, 2021

2020
A deep learning approach with Bayesian optimization and ensemble classifiers for detecting denial of service attacks.
Int. J. Commun. Syst., 2020

Efficient and Scalable Broker Design for the Internet of Things Environments.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

2018
Dimensionality reduction for protein secondary structure and solvent accesibility prediction.
J. Bioinform. Comput. Biol., 2018

Mobil application for automatic document summarization systems.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Comparison of machine learning classifiers for protein secondary structure prediction.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Comparison of NR and UniClust databases for protein secondary structure prediction.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017
Intrusion detection with autoencoder based deep learning machine.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Graph based automatic document summarization with different similarity methods.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017


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