Moshe Gabel

Annual International Conference of the IEEE Engineering in Medicine and Biology Society · 2012

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Moshe Gabel trusts overall

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

  1. Jerome H. Friedman
  2. Eric R. Ziegel
  3. Justin J. Kavanagh
  4. Jeffrey M. Hausdorff
  5. Hylton B. Menz

Papers from Moshe Gabel's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. The Elements of Statistical Learning
  3. Stochastic gradient boosting
  4. Measuring orientation of human body segments using miniature gyroscopes and accelerometers (Medical and Biological Engineering and Computing)
  5. Real-time human pose recognition in parts from single depth images
  6. Accelerometry: a technique for quantifying movement patterns during walking. (Gait & Posture)
  7. A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring (Italian National Conference on Sensors)
  8. Gait variability and fall risk in community-living older adults: a 1-year prospective study. (Archives of Physical Medicine and Rehabilitation)
  9. Generalized Linear Models
  10. Information Theory: 1948-1998 - Guest Editorial

Their papers