Mustafa Gokce Baydogan
Computer Vision and Pattern Recognition · 2013–2018
A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it
- Signal Processing — 17 citations into it; #3,094 of 7,572 by trust here, #4,750 by citations
- Artificial Intelligence — 16 citations into it; #15,657 of 35,345 by trust here, #24,417 by citations
- Economics and Econometrics — 6 citations into it; #15,454 of 23,481 by trust here, #22,128 by citations
Whom Mustafa Gokce Baydogan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eamonn J. Keogh
- Chotirat (Ann) Ratanamahatana
- Pierre Geurts
- Eric Nowak
- Yixin Chen
- John M. Winn
- Trevor J. Hastie
- Markus Weber
- Shivani Agarwal
- Alexandros Nanopoulos
Who trusts Mustafa Gokce Baydogan overall
- Jason Lines
- Zhicheng Cui
- Anthony J. Bagnall
- Fazle Karim
- Nikolaos Passalis
- Yixin Chen
- Rohit J. Kate
- Zhiguang Wang
- Somshubra Majumdar
- Avraam Tsantekidis
Papers from Mustafa Gokce Baydogan's perspective
Ordered by how strongly the researchers Mustafa Gokce Baydogan 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Long Short-Term Memory
- Distinctive Image Features from Scale-Invariant Keypoints
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Autoregressive forests for multivariate time series modeling (2018) — 93 citations
- A Bag-of-Features Framework to Classify Time Series (2013) — 363 citations