Zeki Kus

Orcid: 0000-0001-8762-7233

According to our database1, Zeki Kus authored at least 15 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
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5
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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2024
PBC-NAS: Neural Architecture Search for Peripheral Blood Cells Classification.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024

The Effect of Class-Weighted Penalization in Deep Neural Networks for Multi-Class Cell Segmentation.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024

A Hybrid CNN-Tree Based Model for Enhanced Image Classification Performance.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024

2023
Evolutionary Architecture Optimization for Retinal Vessel Segmentation.
IEEE J. Biomed. Health Informatics, December, 2023

Novel Surrogate Measures Based on a Similarity Network for Neural Architecture Search.
IEEE Access, 2023

BaDENAS: Bayesian Based Neural Architecture Search for Retinal Vessel Segmentation.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Machine Learning Approaches for Cell Viability.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

2022
Bi-criteria simulated annealing for the curriculum-based course timetabling problem with robustness approximation.
J. Sched., 2022

Removal of Gaussian Distributed Noise in Images with Deep Neural Network Models.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Neural Architecture Search Using Metaheuristics for Automated Cell Segmentation.
Proceedings of the Metaheuristics - 14th International Conference, 2022

Neural Architecture Search Using Differential Evolution in MAML Framework for Few-Shot Classification Problems.
Proceedings of the Metaheuristics - 14th International Conference, 2022

2021
Multi-objective simulated annealing for hyper-parameter optimization in convolutional neural networks.
PeerJ Comput. Sci., 2021

Minimum penalty perturbation heuristics for curriculum-based timetables subject to multiple disruptions.
Comput. Oper. Res., 2021

2020
Hyper-Parameter Selection in Convolutional Neural Networks Using Microcanonical Optimization Algorithm.
IEEE Access, 2020

Search Space Sampling by Simulated Annealing for Identifying Robust Solutions in Course Timetabling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020


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