[1]
|
Comparative Analysis of Machine Learning Algorithms to Forecast Indian Stock Market
ITM Web of Conferences,
2023
DOI:10.1051/itmconf/20235605009
|
|
|
[2]
|
Encyclopedia of Data Science and Machine Learning
2022
DOI:10.4018/978-1-7998-9220-5.ch021
|
|
|
[3]
|
Artificial Intelligence and Soft Computing
Lecture Notes in Computer Science,
2021
DOI:10.1007/978-3-030-87897-9_37
|
|
|
[4]
|
Comparative Analysis of Machine Learning Algorithm to Forecast Indian Stock Market
2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE),
2021
DOI:10.1109/ICACITE51222.2021.9404642
|
|
|
[5]
|
Technical indicators for energy market trading
Machine Learning with Applications,
2021
DOI:10.1016/j.mlwa.2021.100182
|
|
|
[6]
|
Portfolio optimization with return prediction using deep learning and machine learning
Expert Systems with Applications,
2021
DOI:10.1016/j.eswa.2020.113973
|
|
|
[7]
|
Predicting the SP500 Index Trend Based on GBDT and LightGBM Methods
E3S Web of Conferences,
2020
DOI:10.1051/e3sconf/202021402019
|
|
|
[8]
|
GARCH-Model Identification based on Performance of Information Criteria
Procedia Computer Science,
2020
DOI:10.1016/j.procs.2020.04.207
|
|
|
[9]
|
Machine Learning for Asset Managers
2020
DOI:10.1017/9781108883658
|
|
|
[10]
|
Technical Indicators and Prediction for Energy Market Forecasting
2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA),
2020
DOI:10.1109/ICMLA51294.2020.00197
|
|
|
[11]
|
Enhancing Stock Market Anomalies with Machine Learning
SSRN Electronic Journal ,
2020
DOI:10.2139/ssrn.3752741
|
|
|
[12]
|
Individualized Indicator for All
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
2019
DOI:10.1145/3292500.3330833
|
|
|
[13]
|
Individualized Indicator for All
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
2019
DOI:10.1145/3292500.3330833
|
|
|
[14]
|
The Islamic gold dinar: a hedge against exchange rate volatility
Managerial Finance,
2018
DOI:10.1108/MF-12-2016-0351
|
|
|
[15]
|
Forecasting of Realised Volatility with the Random Forests Algorithm
Journal of Risk and Financial Management,
2018
DOI:10.3390/jrfm11040061
|
|
|
[16]
|
A two-stage multi-view prediction method for investment strategy
2017 International Conference on Service Systems and Service Management,
2017
DOI:10.1109/ICSSSM.2017.7996307
|
|
|
[17]
|
Fusion based learning approach for predicting concrete pouring productivity based on construction and supply parameters
Construction Innovation,
2016
DOI:10.1108/CI-05-2015-0025
|
|
|
[18]
|
Optimizing MACD Parameters via Genetic Algorithms for Soybean Futures
Procedia Computer Science,
2015
DOI:10.1016/j.procs.2015.09.157
|
|
|
[19]
|
Automated trading with performance weighted random forests and seasonality
Expert Systems with Applications,
2014
DOI:10.1016/j.eswa.2013.12.009
|
|
|