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11/30/2022
Automatic Discovery of Multi-perspective Process Model using Reinforcement Learning
Process mining is a methodology for the derivation and analysis of proce...
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11/30/2022
CRU: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data
The time-series forecasting (TSF) problem is a traditional problem in th...
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11/28/2022
Angular triangle distance for ordinal metric learning
Deep metric learning (DML) aims to automatically construct task-specific...
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11/28/2022
Metric Learning as a Service with Covariance Embedding
With the emergence of deep learning, metric learning has gained signific...
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11/28/2022