Donald C. Wunsch II

Artificial Intelligence · 2002–2012

A researcher in the Science corpus: 7 papers; trusts 63 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 70 citations into it; #4,453 of 35,345 by trust here, #4,979 by citations
• Molecular Biology — 41 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it; #4,474 of 21,575 by trust here, #6,089 by citations
• Reinforcement Learning — 27 citations into it
• Model Architectures — 21 citations into it
• Statistics and Probability — 17 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Statistical Learning Theory — 14 citations into it

Whom Donald C. Wunsch II trusts overall

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

1. J. Ross Quinlan
2. Paul J. Werbos
3. Simon S. Haykin
4. Mark A. Girolami
5. Anil K. Jain
6. Erkki Oja
7. Jon M. Kleinberg
8. Stephen Grossberg
9. Bernhard Schölkopf
10. Richard J. Hathaway

Who trusts Donald C. Wunsch II overall

1. Tameru Hailesilassie
2. Guilherme de Alencar Barreto
3. Iqbal H. Sarker
4. Vaishak Belle
5. Dongkuan Xu
6. Pierre Comon
7. Benoît Frénay
8. Soumi Ghosh
9. Ziawasch Abedjan
10. Elynn Y. Chen

Papers from Donald C. Wunsch II's perspective

Ordered by how strongly the researchers Donald C. Wunsch II trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Handbook of Learning and Approximate Dynamic Programming (IEEE Press Series on Computational Intelligence) (2004) — 726 citations
• Survey of clustering algorithms (2005) — 6,558 citations
• Reinforcement Learning and Its Relationship to Supervised Learning (2004) — 106 citations
• Supervised Actor‐Critic Reinforcement Learning (2012) — 101 citations
• Neural network explanation using inversion (2007) — 114 citations
• Clustering Algorithms in Biomedical Research: A Review (2010) — 334 citations
• Signed graphs for portfolio analysis in risk management (2002) — 57 citations