SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Probabilistic deep learning and transfer learning for robust cryptocurrency price prediction
16 references·0 citing·46 second hopsampled
Probabilistic deep learning and transfer learning for robust cryptocurrency price prediction (2024)Probabilistic deep learning and transfer …Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction (2022)Performance evaluation of dee…A Novel Cryptocurrency Price Prediction Model Using GRU, LSTM and bi-LSTM Machine Learning Algorithms (2021)A Novel Cryptocurrency Price …Using Deep Learning for price prediction by exploiting stationary limit order book features (2020)Using Deep Learning for price…Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Recurrent Neural Networks for…Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants (2020)Machine learning model for Bi…Forecasting the price of Bitcoin using deep learning (2020)Forecasting the price of Bitc…Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators (2020)Convolution on neural network…A Deep Learning-based Cryptocurrency Price Prediction Scheme for Financial Institutions (2020)A Deep Learning-based Cryptoc…Bitcoin price prediction using machine learning: An approach to sample dimension engineering (2019)Bitcoin price prediction usin…Predicting the Price of Bitcoin Using Machine Learning (2018)Predicting the Price of Bitco…Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques (2018)Predicting the direction, max…Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies (2016)Predicting Fluctuations in Cr…Comparing and evaluating Bayesian predictive distributions of asset returns (2010)Comparing and evaluating Baye…An Empirical Comparison of Machine Learning Models for Time Series Forecasting (2010)An Empirical Comparison of Ma…Neural networks in finance : gaining predictive edge in the market (2005)Neural networks in finance : …Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…The arbitrage theory of capital asset pricing (1976)Economic Forces and the Stock Market (1986)The Cross-Section of Expected Stock Returns (1992)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Forecasting methods and applications (1993)A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition (2012)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism (2020)Twitter mood predicts the stock market (2011)BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era (2013)What Are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis (2015)The predictive power of public Twitter sentiment for forecasting cryptocurrency prices (2020)Cryptocurrency trading: a comprehensive survey (2022)Designing a neural network for forecasting financial and economic time series (1996)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Practical Bayesian Optimization of Machine Learning Algorithms (2012)An innovative neural network approach for stock market prediction (2018)Deep learning for financial applications : A survey (2020)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Volatility estimation for Bitcoin: A comparison of GARCH models (2017)Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques (2019)Forecasting and trading cryptocurrencies with machine learning under changing market conditions (2021)Financial applications of machine learning: A literature review (2023)Bitcoin, gold and the dollar – A GARCH volatility analysis (2015)Time Series Analysis Forecasting and Control. (1971)Deep Learning for Time Series Forecasting: Tutorial and Literature Survey (2022)Forecast evaluation for data scientists: common pitfalls and best practices (2022)Forecasting: theory and practice (2022)The best of two worlds: Forecasting high frequency volatility for cryptocurrencies and traditional currencies with Support Vector Regression (2017)A Comparison between ARIMA, LSTM, and GRU for Time Series Forecasting (2019)Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges (2019)Forecasting Cryptocurrency Prices Using LSTM, GRU, and Bi-Directional LSTM: A Deep Learning Approach (2023)Generalized autoregressive conditional heteroskedasticity (1986)Evaluating Interval Forecasts (1998)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Real-Time Density Forecasts From Bayesian Vector Autoregressions With Stochastic Volatility (2010)Macroeconomic forecasting and structural change (2011)An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)Risks and Returns of Cryptocurrency (2018)Forecasting Bitcoin Price Direction With Random Forests: How Important Are Interest Rates, Inflation, and Market Volatility? (2022)Meta-Heuristic Optimization of LSTM-Based Deep Network for Boosting the Prediction of Monkeypox Cases (2022)On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles (2023)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2020Recurrent Neural Networks for Time Series Forecasting: Current status and future directions1,429 cited
  • 2004Forecasting stock market movement direction with support vector machine1,163 cited
  • 2010An Empirical Comparison of Machine Learning Models for Time Series Forecasting801 cited
  • 2018Predicting the Price of Bitcoin Using Machine Learning702 cited
  • 2019Bitcoin price prediction using machine learning: An approach to sample dimension engineering460 cited
  • 2010Comparing and evaluating Bayesian predictive distributions of asset returns376 cited
  • 2021A Novel Cryptocurrency Price Prediction Model Using GRU, LSTM and bi-LSTM Machine Learning Algorithms341 cited
  • 2020A Deep Learning-based Cryptocurrency Price Prediction Scheme for Financial Institutions312 cited
  • 2016Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies286 cited
  • 2018Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques253 cited
  • 2005Neural networks in finance : gaining predictive edge in the market224 cited
  • 2020Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants205 cited
  • 2020Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators196 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2020
Forecasting the price of Bitcoin using deep learning
145 cited
  • 2022Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction119 cited
  • 2020Using Deep Learning for price prediction by exploiting stationary limit order book features104 cited
  • Cited by

    No citing works inside the corpus for this window.