O. Honchar
Artificial Intelligence · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
- Management Science and Operations Research — 6 citations into it
- Economics and Econometrics — 5 citations into it
- Optimization & Training — 5 citations into it
Whom O. Honchar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Jimmy Ba
- Yoshua Bengio
- Sepp Hochreiter
- Xavier Glorot
- Luca Di Persio
- Geoffrey E. Hinton
- J. Urgen Schmidhuber
- Kyunghyun Cho
- Fabian Pedregosa
Who trusts O. Honchar overall
- M. Ugur Gudelek
- Omer Berat Sezer
- Ehsan Hoseinzade
- David M. Q. Nelson
- A. Elsaid
- Jimmy Ming-Thai Wu
- A. Ozbayoglu
- Sabeen Ahmed
- Saman Haratizadeh
Papers from O. Honchar's perspective
Ordered by how strongly the researchers O. Honchar trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- Recurrent Neural Networks Approach to the Financial Forecast of Google Assets (2017) — 104 citations
- Artificial Neural Networks architectures for stock price prediction: comparisons and applications (2016) — 220 citations
- Artificial Neural Networks Approach to the Forecast of Stock Market Price Movements (2016) — 67 citations