N. Galatsanos

Artificial Intelligence · 2002–2008

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #23,102 of 35,345 by trust here, #14,438 by citations
• Probabilistic & Bayesian Methods — 7 citations into it

Whom N. Galatsanos trusts overall

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

1. Radford M. Neal
2. Matthew J. Beal
3. Geoffrey E. Hinton
4. Michael I. Jordan
5. Hagai Thomas Attias
6. Yuhai Wu
7. C. Burges
8. Donald F. Specht
9. Zoubin Ghahramani
10. Charles M. Bishop

Who trusts N. Galatsanos overall

1. I. E. El Naqa
2. Ankit Gupta
3. Dimitris G. Tzikas

Papers from N. Galatsanos's perspective

Ordered by how strongly the researchers N. Galatsanos 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Neural Networks for Pattern Recognition

Their papers

• A variational approach for Bayesian blind image deconvolution (2004) — 207 citations
• A spatially constrained mixture model for image segmentation (2005) — 233 citations
• A support vector machine approach for detection of microcalcifications (2002) — 574 citations
• The variational approximation for Bayesian inference (2008) — 991 citations
• A similarity learning approach to content-based image retrieval: application to digital mammography (2004) — 312 citations