Atilla Özgür

Orcid: 0000-0002-9237-8347

According to our database1, Atilla Özgür authored at least 15 papers between 2012 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Simple Architecture for Enterprise Large Language Model Applications based on Role based security and Clearance Levels using Retrieval-Augmented Generation or Mixture of Experts.
CoRR, 2024

2021
A systematic review of transfer learning based approaches for diabetic retinopathy detection.
CoRR, 2021

A review of planning and scheduling methods for hot rolling mills in steel production.
Comput. Ind. Eng., 2021

Journal Finder for TRDIZIN: Baseline Study.
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

2020
Modelling of daily reference evapotranspiration using deep neural network in different climates.
CoRR, 2020

Effect of Dropout layer on Classical Regression Problems.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Information-theoretic non-uniformity correction of infrared image sequences.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

2018
RmSAT-CFAR: Fast and accurate target detection in radar images.
SoftwareX, 2018

Sparsity-driven weighted ensemble classifier.
Int. J. Comput. Intell. Syst., 2018

Fast target detection in radar images using Rayleigh Mixtures and Summed Area Tables.
Digit. Signal Process., 2018

2017
The impact of using large training data set KDD99 on classification accuracy.
PeerJ Prepr., 2017

Parallelization of Sparsity-driven Change Detection method.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016
A review of KDD99 dataset usage in intrusion detection and machine learning between 2010 and 2015.
PeerJ Prepr., 2016

Sparsity-Driven Change Detection in Multitemporal SAR Images.
IEEE Geosci. Remote. Sens. Lett., 2016

2012
Automated recognition of lesions in retinal images using Artificial Neural Networks.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012


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