48 citations · 183 across the 27 of their papers we have counts for
3 papers · 1 filter
Forecasting directional movements of stock prices for intraday trading using LSTM and random forests
Pushpendu Ghosh, Ariel Neufeld, Jajati Keshari Sahoo
We employ both random forests and LSTM networks (more precisely CuDNNLSTM) as training methodologies to analyze their effectiveness in forecasting out-of-sample directional movemen…
Convolutional Feature Extraction and Neural Arithmetic Logic Units for Stock Prediction
Shangeth Rajaa, Jajati Keshari Sahoo
Stock prediction is a topic undergoing intense study for many years. Finance experts and mathematicians have been working on a way to predict the future stock price so as to decide…
Polyphonic Music Generation by Modeling Temporal Dependencies Using a RNN-DBN
Kratarth Goel, Raunaq Vohra, J. K. Sahoo
In this paper, we propose a generic technique to model temporal dependencies and sequences using a combination of a recurrent neural network and a Deep Belief Network. Our techniqu…