Shannon H. Kolind

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Shannon H. Kolind trusts overall

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

1. Geoffrey E. Hinton

Papers from Shannon H. Kolind's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. A Fast Learning Algorithm for Deep Belief Nets
3. Multimodal Deep Learning
4. A Practical Guide to Training Restricted Boltzmann Machines
5. Random Forests
6. ADADELTA: An Adaptive Learning Rate Method
7. Deep learning for robust feature generation in audiovisual emotion recognition (IEEE International Conference on Acoustics, Speech, and Signal Processing)
8. N4ITK: Improved N3 Bias Correction
9. Alzheimer's disease. (Cold Spring Harbor Perspectives in Biology)
10. ImageNet classification with deep convolutional neural networks

Their papers

• Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls (2017) — 88 citations