Browsing by Subject "Attention"
Now showing items 1-3 of 3
-
Asset price and direction prediction via deep 2D transformer and convolutional neural networks
(ACM, 2022-11-02)Artificial intelligence-based algorithmic trading has recently started to attract more attention. Among the techniques, deep learning-based methods such as transformers, convolutional neural networks, and patch embedding ... -
Deep transformer-based asset price and direction prediction
(IEEE, 2024)The field of algorithmic trading, driven by deep learning methodologies, has garnered substantial attention in recent times. Within this domain, transformers, convolutional neural networks, and patch embedding-based ... -
An extensive dataset of eye movements during viewing of complex images
(Nature, 2017)We present a dataset of free-viewing eye-movement recordings that contains more than 2.7 million fixation locations from 949 observers on more than 1000 images from different categories. This dataset aggregates and harmonizes ...
Share this page