Daniel F. Hermens

Artificial Intelligence · 2004–2024

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Daniel F. Hermens trusts overall

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

1. Julian P. T. Higgins

Papers from Daniel F. Hermens's perspective

Ordered by how strongly the researchers Daniel F. Hermens 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. Measuring inconsistency in meta-analyses (British medical journal)
6. Autoreject: Automated artifact rejection for MEG and EEG data (NeuroImage)
7. Course of illness, hippocampal function, and hippocampal volume in major depression (Proceedings of the National Academy of Sciences of the United States of America)
8. Array programming with NumPy
9. Control of goal-directed and stimulus-driven attention in the brain
10. MEG and EEG data analysis with MNE-Python (Front. Neuroinform.)

Their papers

• Resting-state EEG correlates of sustained attention in healthy ageing: Cross-sectional findings from the LEISURE study. (2024)
• A meta-analysis of cognitive deficits in first-episode Major Depressive Disorder. (2012) — 707 citations
• isinterpreting Emotional Expressions in ttention-Deficit/Hyperactivity Disorder: Evidence or a Neural Marker and Stimulant Effects (2008) — 214 citations
• Spontaneous alpha peak frequency predicts working memory performance across the age span. (2004)