J. Lagopoulos

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 J. Lagopoulos trusts

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

  1. Wes McKinney (in Artificial Intelligence)
  2. Raphael Vallat (in Artificial Intelligence)
  3. Michael L. Waskom (in Information Systems)

Papers from J. Lagopoulos's perspective

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

Their papers