Christian Hennig
Artificial Intelligence · 2005–2015
A researcher in the Science corpus: 9 papers; trusts 59 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 49 citations into it; #15,860 of 35,345 by trust here, #23,731 by citations
- Statistics and Probability — 43 citations into it; #5,773 of 12,932 by trust here, #6,552 by citations
- Computer Vision and Pattern Recognition — 17 citations into it
- Molecular Biology — 13 citations into it
- Sociology and Political Science — 9 citations into it; #14,741 of 22,756 by trust here, #14,917 by citations
- Philosophy — 8 citations into it
- Information Systems — 7 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
Whom Christian Hennig trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Gelman
- Jianbo Shi
- Jeroen K. Vermunt
- Marina Meila
- Anil K. Jain
- Chris Fraley
- Donald B. Rubin
- Robert Tibshirani
- Michael I. Jordan
- Francis R. Bach
Who trusts Christian Hennig overall
- Andrew Gelman
- Carson J. Q. Farmer
- T. Liao
- A. Stewart Fotheringham
- Branko Dragovich
- Paul David McNicholas
- A. Khrennikov
Papers from Christian Hennig's perspective
Ordered by how strongly the researchers Christian Hennig 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
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Beyond subjective and objective in statistics (2015) — 217 citations
- How to find an appropriate clustering for mixed‐type variables with application to socio‐economic stratification (2013) — 284 citations
- Cluster-wise assessment of cluster stability (2007) — 775 citations
- Recovering the number of clusters in data sets with noise features using feature rescaling factors (2015) — 333 citations
- Handbook of Cluster Analysis (2015) — 511 citations
- Wood pellet market and trade: a global perspective (2013) — 155 citations
- Maximum likelihood estimation of heterogeneous mixtures of Gaussian and uniform distributions (2011) — 53 citations
- Mathematical Models and Reality: A Constructivist Perspective (2010) — 48 citations
- The influence of recent geography, palaeogeography and climate on the composition of the fauna of the central Aegean Islands (2005) — 93 citations