Ugur Halici
Computer Vision and Pattern Recognition · 2000–2017
A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 33 citations into it
- Artificial Intelligence — 25 citations into it
- Optimization & Training — 13 citations into it
- Cognitive Neuroscience — 11 citations into it; #2,157 of 10,852 by trust here, #6,360 by citations
- Signal Processing — 6 citations into it
- Cellular and Molecular Neuroscience — 5 citations into it
- Electrical and Electronic Engineering — 5 citations into it
Whom Ugur Halici trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Rasmus Berg Palm
- Finn Verner Jensen
- Yoshua Bengio
- L. Eon Bottou
- Simon S. Haykin
- Moritz Grosse-Wentrup
- Herbert Ramoser
- Shirley Coyle
- Suwicha Jirayucharoensak
Who trusts Ugur Halici overall
- Mufti Mahmud
- Alexander Craik
- O-Yeon Kwon
- Guanghai Dai
- Xiaofeng Zhang
- Yi Ding
- Natasha M. J. Padfield
- Yannick Roy
- Vernon J. Lawhern
- M. Rashid
Papers from Ugur Halici's perspective
Ordered by how strongly the researchers Ugur Halici trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer (2017) — 3,174 citations
- A novel deep learning approach for classification of EEG motor imagery signals (2017) — 823 citations
- Intelligent biometric techniques in fingerprint and face recognition (2000) — 396 citations