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01/23/2022
One-Shot Learning on Attributed Sequences
One-shot learning has become an important research topic in the last dec...
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01/23/2022
Deep Learning on Attributed Sequences
Recent research in feature learning has been extended to sequence data, ...
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12/24/2021
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series
The matrix profile is an effective data mining tool that provides simila...
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09/21/2021
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks
Predicting metrics associated with entities' transnational behavior with...
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11/08/2020
MLAS: Metric Learning on Attributed Sequences
Distance metric learning has attracted much attention in recent years, w...
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11/05/2020
Merchant Category Identification Using Credit Card Transactions
Digital payment volume has proliferated in recent years with the rapid g...
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07/10/2020
Multi-future Merchant Transaction Prediction
The multivariate time series generated from merchant transaction history...
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11/03/2019