50 results for "relevance vector machines" · page 2 of 5 · ranked by relevance
…valence, arousal, dominance, liking, familiarity, relevance and emotion category. In addition, it…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004785-blue…
…more reliance on computers and machines. This move from traditional warfare to…
NEMAR Dataset nm000104: emg2qwerty - EMG-based typing detection
…minutes using an Elekta Neuromag Vectorview system. EEG was recorded using a…
THINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
…These data were acquired with the Neuromag Vectorview system at MGH/HMS…
…minutes using an Elekta Neuromag Vectorview system. EEG was recorded using a…
TMNRED is an EEG dataset collected from 30 healthy, right-handed native Chinese speakers performing a natural reading task designed to investigate fuzzy semantic target identification. Participants read Chinese news headlines and short sentences containing target and non-target semantic items while EEG was recorded across 8 blocks of 400 trials each. The dataset supports research into semantic processing mechanisms during naturalistic reading in the Chinese language.
…a 1x1280 vector of neurofeedback scores. 4 scores per secondes, for the…