Alex L. MacKay

Artificial Intelligence · 2013–2017

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

Subfields

Whom Alex L. MacKay trusts

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

  1. Geoffrey E. Hinton (in Probabilistic & Bayesian Methods)
  2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Alex L. MacKay's perspective

Ordered by how strongly the researchers Alex L. MacKay 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. Generalized autocalibrating partially parallel acquisitions (GRAPPA) (Magnetic Resonance in Medicine)
  9. T1, T2 relaxation and magnetization transfer in tissue at 3T (Magnetic Resonance in Medicine)
  10. Magnetization transfer in MRI: a review (NMR in Biomedicine)

Their papers