M. Emre Celebi
Artificial Intelligence · 2007–2019
A researcher in the Science corpus: 6 papers; trusts 20 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it; #16,641 of 35,345 by trust here, #6,720 by citations
- Computer Vision and Pattern Recognition — 20 citations into it; #14,345 of 21,575 by trust here, #11,950 by citations
- Statistics and Probability — 7 citations into it
- Signal Processing — 6 citations into it
Whom M. Emre Celebi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anil K. Jain
- Aapo Hyvärinen
- Teofilo F. Gonzalez
- Salvador Garcia
- Yuhai Wu
- David A Clausi
- David Arthur
- Stephen James Redmond
- Makoto Matsumoto
- Simon Perreault
Who trusts M. Emre Celebi overall
- Yuexiang Li
- Balázs Harangi
- Pasi Fränti
- Ammara Masood
- Jie Chen
- Ilias Maglogiannis
- Lucia Ballerini
- Noel C. F. Codella
- Lei Bi
- Teresa Mendonça
Papers from M. Emre Celebi's perspective
Ordered by how strongly the researchers M. Emre Celebi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC) (2019) — 1,802 citations
- Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC) (2016) — 2,727 citations
- Advances in Face Detection and Facial Image Analysis (2016) — 108 citations
- A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm (2012) — 1,219 citations
- Lesion border detection in dermoscopy images (2009) — 493 citations
- A methodological approach to the classification of dermoscopy images (2007) — 712 citations