Thomas Pace

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Pace trusts overall

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

  1. Wes McKinney
  2. Michael L. Waskom
  3. Raphael Vallat

Papers from Thomas Pace's perspective

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

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms
  3. Data Structures for Statistical Computing in Python
  4. Matplotlib: A 2D Graphics Environment
  5. Autoreject: Automated artifact rejection for MEG and EEG data (NeuroImage)
  6. Control of goal-directed and stimulus-driven attention in the brain
  7. Array programming with NumPy
  8. α-Band Electroencephalographic Activity over Occipital Cortex Indexes Visuospatial Attention Bias and Predicts Visual Target Detection (Journal of Neuroscience)
  9. Inferring Synaptic Excitation/Inhibition Balance from Field Potentials (bioRxiv)
  10. MEG and EEG data analysis with MNE-Python (Front. Neuroinform.)

Their papers