Marcel Dettling
Molecular Biology · 2003–2004
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 9 citations into it; #3,231 of 17,773 by trust here, #14,833 by citations
- Artificial Intelligence — 6 citations into it; #10,976 of 35,345 by trust here, #26,682 by citations
Whom Marcel Dettling trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Yoav Freund
- J. Ross Quinlan
- Trevor J. Hastie
- Robert E. Schapire
- Robert Tibshirani
- Terrence S. Furey
- Eric R. Ziegel
- Yann LeCun
- Ash A. Alizadeh
Who trusts Marcel Dettling overall
- Peter Buhlmann
- Jianqing Fan
- K. Y. Yeung
- Pengyi Yang
- Aik Choon Tan
- Torsten Hothorn
- Yingying Fan
- Roger E Bumgarner
- Daniel Q. Naiman
- Y. H. Yang
Papers from Marcel Dettling's perspective
Ordered by how strongly the researchers Marcel Dettling trusts endorse each paper. Same corpus, a different order for every researcher.
- The Elements of Statistical Learning
- ImageNet classification with deep convolutional neural networks
- A decision-theoretic generalization of on-line learning and an application to boosting
- Special Invited Paper-Additive logistic regression: A statistical view of boosting
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The Nature of Statistical Learning Theory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Regression Shrinkage and Selection via the Lasso
Their papers
- Boosting for Tumor Classification with Gene Expression Data (2003) — 324 citations
- Bioconductor: open software development for computational biology and bioinformatics (2004) — 12,915 citations