Germán G. Creamer
Management Science and Operations Research · 2010–2019
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 45 citations into it; #7,986 of 11,946 by trust here, #7,262 by citations
- Economics and Econometrics — 37 citations into it; #15,734 of 23,481 by trust here, #16,755 by citations
- Electrical and Electronic Engineering — 30 citations into it
- Artificial Intelligence — 23 citations into it
- Finance — 10 citations into it; #7,245 of 10,518 by trust here, #9,027 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Germán G. Creamer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Collins
- Leo Breiman
- Robert E. Schapire
- Vladimir Naumovich Vapni
- P. R. Hansen
- Nima Amjady
- Rafal Weron
- Alex Hernandez-Garcia
- Yoav Freund
- Ruoxuan Xiong
Who trusts Germán G. Creamer overall
Papers from Germán G. Creamer's perspective
Ordered by how strongly the researchers Germán G. Creamer trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- The Nature of Statistical Learning Theory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Bagging Predictors
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Machine learning in energy economics and finance: A review (2019) — 398 citations
- Automated trading with boosting and expert weighting (2010) — 70 citations
- Semantic Frames to Predict Stock Price Movement (2013) — 134 citations