E. S. Durmaz

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom E. S. Durmaz trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jaka Demsar
2. Mark A. Hall
3. Sudhir Varma
4. Benson Mwangi
5. Nitesh V. Chawla
6. Igor Kononenko

Papers from E. S. Durmaz's perspective

Ordered by how strongly the researchers E. S. Durmaz trusts endorse each paper. Same corpus, a different order for every researcher.

1. Statistical Comparisons of Classifiers over Multiple Data Sets
2. Estimating Attributes: Analysis and Extensions of RELIEF
3. Orange: data mining toolbox in python (Journal of machine learning research)
4. SMOTE: Synthetic Minority Over-sampling Technique
5. A nonparametric method for automatic correction of intensity nonuniformity in MRI data
6. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository (Journal of digital imaging)
7. Correlation-based Feature Selection for Machine Learning
8. Snakes: Active contour models
9. N4ITK: Improved N3 Bias Correction
10. Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images (Journal of medical systems)

Their papers

• Radiomics with artificial intelligence: a practical guide for beginners. (2019) — 321 citations