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2020 – today
- 2022
[j5]Erdal Tasci
, Aybars Ugur:
A novel pattern recognition framework based on ensemble of handcrafted features on images. Multim. Tools Appl. 81(21): 30195-30218 (2022)- [d1]Erdal Tasci, Kevin Camphausen, Andra Valentina Krauze, Ying Zhuge:
Glioma Grading Clinical and Mutation Features Dataset. UCI Machine Learning Repository, 2022
- 2021
- [j4]Erdal Tasci, Caner Uluturk, Aybars Ugur:
A voting-based ensemble deep learning method focusing on image augmentation and preprocessing variations for tuberculosis detection. Neural Comput. Appl. 33(22): 15541-15555 (2021) - 2020
- [j3]Osman Gökalp, Erdal Tasci, Aybars Ugur:
A novel wrapper feature selection algorithm based on iterated greedy metaheuristic for sentiment classification. Expert Syst. Appl. 146: 113176 (2020) - [j2]Erdal Tasci:
Voting combinations-based ensemble of fine-tuned convolutional neural networks for food image recognition. Multim. Tools Appl. 79(41-42): 30397-30418 (2020)
2010 – 2019
- 2018
- [b1]Erdal Tasci:
Görüntüler üzerinde öznitelik çıkarma ve seçimine odaklı bir örüntü tanıma çerçevesi geliştirilmesi (Development of a pattern recognition framework focusing on feature extraction and selection on images). Ege University, Turkey, 2018 - [c2]Erdal Tasci, Osman Gökalp, Aybars Ugur:
Development of a novel feature weighting method using CMA-ES optimization. SIU 2018: 1-4 - [c1]Erdal Tasci, Aybars Ugur:
Image classification using ensemble algorithms with deep learning and hand-crafted features. SIU 2018: 1-4 - 2015
- [j1]Erdal Tasci, Aybars Ugur:
Shape and Texture Based Novel Features for Automated Juxtapleural Nodule Detection in Lung CTs. J. Medical Syst. 39(5): 46 (2015)
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