Rok Sosic
Molecular Biology · 2016–2018
A researcher in the Science corpus: 4 papers; trusts 38 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 95 citations into it; #13,923 of 17,773 by trust here, #13,563 by citations
- Statistical and Nonlinear Physics — 56 citations into it; #8,070 of 10,127 by trust here, #5,403 by citations
- Artificial Intelligence — 21 citations into it; #29,285 of 35,345 by trust here, #23,077 by citations
- Computational Theory and Mathematics — 19 citations into it; #12,174 of 12,182 by trust here, #8,756 by citations
- Computer Vision and Pattern Recognition — 17 citations into it; #20,180 of 21,575 by trust here, #18,266 by citations
- Graph Learning — 11 citations into it
- Sociology and Political Science — 10 citations into it
- Statistics and Probability — 9 citations into it
Whom Rok Sosic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jure Leskovec
- Mark Newman
- Jaewon Yang
- Julian McAuley
- Duncan J. Watts
- Jon M. Kleinberg
- Austin R. Benson
- Deepayan Chakrabarti
- Charu C. Aggarwal
- Manuel Gomez-Rodriguez
Who trusts Rok Sosic overall
Papers from Rok Sosic's perspective
Ordered by how strongly the researchers Rok Sosic 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Prioritizing network communities (2018) — 78 citations
- Evolution of resilience in protein interactomes across the tree of life (2018) — 99 citations
- Large-scale physical activity data reveal worldwide activity inequality (2017) — 882 citations
- SNAP: A General Purpose Network Analysis and Graph Mining Library (2016) — 830 citations