Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network

29 September 2020

Papers citing "Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network"

4 / 4 papers shown

Title
Stock2Vec: An Embedding to Improve Predictive Models for Companies Ziruo Yi Tingsong Xiao Kaz-Onyeakazi Ijeoma Ratnam Cheran Yuvraj Baweja Phillip Nelson AIFin 21 3 0 27 Jan 2022
AI in Finance: Challenges, Techniques and Opportunities LongBing Cao AIFin 36 240 0 20 Jul 2021
A Generic Methodology for the Statistically Uniform & Comparable Evaluation of Automated Trading Platform Components A. Sokolovsky Luca Arnaboldi 15 2 0 21 Sep 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015