Yunus Ozen

2018 3rd International Conference on Computer Science and Engineering (UBMK) · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Yunus Ozen trusts overall

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

1. David P. Hughes

Papers from Yunus Ozen's perspective

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

1. An open access repository of images on plant health to enable the development of mobile disease diagnostics through machine learning and crowdsourcing (arXiv.org)
2. Deep Learning
3. Self-organization and associative memory: 3rd edition
4. How deep learning extracts and learns leaf features for plant classification (Pattern Recognition)
5. Deep learning models for plant disease detection and diagnosis (Computers and Electronics in Agriculture)
6. Disease detection on the leaves of the tomato plants by using deep learning (International Conference on Agro-Geoinformatics)
7. Going deeper with convolutions
8. ImageNet classification with deep convolutional neural networks
9. Visualizing and Understanding Convolutional Networks
10. Caffe: Convolutional Architecture for Fast Feature Embedding

Their papers

• Plant Leaf Disease Detection and Classification Based on CNN with LVQ Algorithm (2018) — 398 citations