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02/13/2023
Continuous-time convolutions model of event sequences
Massive samples of event sequences data occur in various domains, includ...
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06/15/2021
Adversarial Attacks on Deep Models for Financial Transaction Records
Machine learning models using transaction records as inputs are popular ...
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04/03/2021
COHORTNEY: Deep Clustering for Heterogeneous Event Sequences
There is emerging attention towards working with event sequences. In par...
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10/10/2020
TOTOPO: Classifying univariate and multivariate time series with Topological Data Analysis
This work is devoted to a comprehensive analysis of topological data ana...
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09/09/2020
Towards forecast techniques for business analysts of large commercial data sets using matrix factorization methods
This research article suggests that there are significant benefits in ex...
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09/08/2020
Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting
Topological Data Analysis (TDA) is a recent approach to analyze data set...
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09/08/2020
Graph Neural Networks for Model Recommendation using Time Series Data
Time series prediction aims to predict future values to help stakeholder...
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09/07/2020
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks
Recommender systems have become an essential instrument in a wide range ...
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09/07/2020
Topological Data Analysis for Portfolio Management of Cryptocurrencies
Portfolio management is essential for any investment decision. Yet, trad...
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09/07/2020
An industry case of large-scale demand forecasting of hierarchical components
Demand forecasting of hierarchical components is essential in manufactur...
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08/27/2020
DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data
This work proposes DeepFolio, a new model for deep portfolio management ...
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05/20/2019