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Publications by Philipp Pohl
A Machine Learning Approach to Univariate Time Series Forecasting of Quarterly Earnings
Review of Quantitative Finance and Accounting
Accounting
Management
Finance
Business
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An Approach to Represent Time Series Forecasting via Fuzzy Numbers
A Deep Learning Framework for Univariate Time Series Prediction Using Convolutional LSTM Stacked Autoencoders
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Improving Traffic Forecasting for 5G Core Network Scalability: A Machine Learning Approach
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A Comparison of Time Series Forecasting Using Support Vector Machine and Artificial Neural Network Model
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R Package imputeTestbench to Compare Imputation Methods for Univariate Time Series
R Journal
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Short Term Load Forecasting Using a Neural Network Based Time Series Approach