Hao Zhu
Computational Theory and Mathematics · with Fourches · 2008–2017
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 19 citations into it
Whom Hao Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hao Zhu's perspective
Ordered by how strongly the researchers Hao Zhu trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural Network Studies
- Multi‐ and Megavariate Data Analysis. Principles and Applications, I. Eriksson, E. Johansson, N. Kettaneh‐Wold and S. Wold, Umetrics Academy, Umeå, 2001, ISBN 91‐973730‐1‐X, 533pp.
- Principles of QSAR models validation: internal and external
- The Importance of Being Earnest: Validation is the Absolute Essential for Successful Application and Interpretation of QSPR Models
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- This PDF file includes: Materials and Methods
- Dropout: a simple way to prevent neural networks from overfitting
- GENERATIVE ADVERSARIAL NETS
Their papers
- Critical Assessment of QSAR Models of Environmental Toxicity against Tetrahymena pyriformis: Focusing on Applicability Domain and Overfitting by Variable Selection (2008) — 393 citations
- From machine learning to deep learning: progress in machine intelligence for rational drug discovery. (2017) — 587 citations