Lars Rosenbaum
Computational Theory and Mathematics · with Hinselmann · 2010–2011
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 21 citations into it
- Molecular Biology — 19 citations into it
- Computational Chemistry & Drug Discovery — 9 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Artificial Intelligence — 7 citations into it
Whom Lars Rosenbaum trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jürgen Bajorath
- Chih-Jen Lin
- S. Joshua Swamidass
- Rong-En Fan
- Andreas Bender
- Denis Fourches
- Philip Jonathan
- Liva Ralaivola
- Christoph Steinbeck
- Knut Baumann
Who trusts Lars Rosenbaum overall
Papers from Lars Rosenbaum's perspective
Ordered by how strongly the researchers Lars Rosenbaum trusts endorse each paper. Same corpus, a different order for every researcher.
- LIBLINEAR: A Library for Large Linear Classification
- LIBSVM: A library for support vector machines
- Gradient-based learning applied to document recognition
- SMILES. 2. Algorithm for generation of unique SMILES notation
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- An Introduction to Variable and Feature Selection
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activity
- Extended-Connectivity Fingerprints
Their papers
- Interpreting linear support vector machine models with heat map molecule coloring (2011) — 54 citations
- Large-Scale Learning of Structure-Activity Relationships Using a Linear Support Vector Machine and Problem-Specific Metrics (2011) — 33 citations
- jCompoundMapper: An open source Java library and command-line tool for chemical fingerprints (2011) — 92 citations
- A Free–Wilson‐like Approach to Analyze QSAR Models Based on Graph Decomposition Kernels (2010)