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Found 6 papers, 1 papers with code
NeuralProphet: Explainable Forecasting at Scale
NeuralProphet is a hybrid forecasting framework based on PyTorch and trained with standard deep learning methods, making it easy for developers to extend the framework.
TOTOPO: Classifying univariate and multivariate time series with Topological Data Analysis
This work is devoted to a comprehensive analysis of topological data analysis fortime series classification.
Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting
Topological Data Analysis (TDA) is a recent approach to analyze data sets from the perspective of their topological structure.
Topological Data Analysis for Portfolio Management of Cryptocurrencies
Portfolio management is essential for any investment decision.
DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data
Further, we use DeepFolio for optimal portfolio allocation of crypto-assets with rebalancing.
Topological Data Analysis of Time Series Data for B2B Customer Relationship Management
Topological Data Analysis (TDA) is a recent approach to analyze data sets from the perspective of their topological structure.
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