Daniel Svozil

1997–2007

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Daniel Svozil trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Anthony B. Atkinson

Who trusts Daniel Svozil overall

1. Seonwoo Min
2. Deepak Soekhoe
3. Yu Wang
4. Zhi Zhou
5. Byunghan Lee
6. P. V. D. Putten
7. Fengjuan Gao
8. Xu Chen

Papers from Daniel Svozil's perspective

Ordered by how strongly the researchers Daniel Svozil trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neural Networks: A Comprehensive Foundation
2. Neural network studies, 1. Comparison of overfitting and overtraining
3. Function minimization by conjugate gradients
4. Subset Selection in Regression
5. Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems
6. Numerical Integration of the Cartesian Equations of Motion of a System with Constraints: Molecular Dynamics of n-Alkanes
7. Comparison of simple potential functions for simulating liquid water
8. Gradient-based learning applied to document recognition
9. ImageNet classification with deep convolutional neural networks
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Refinement of the AMBER Force Field for Nucleic Acids: Improving the Description of α/γ Conformers (2007) — 1,997 citations
• Introduction to multi-layer feed-forward neural networks (1997)