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A Comprehensive Study of Deep Learning for Real-World Multivariate Time Series Classification
File
Oh, YongKyung
Thesis
Issue Date
2023-02
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28
Graph Neural Networks for Multivariate Time Series Forecasting with Applications
File
Kim, Suhyeon
Thesis
Issue Date
2023-02
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17
Tackling Three Problems in Controlled Sequence Generations: Bridging Reinforcement Learning with Language Models
File
Lee, Changhun
Thesis
Issue Date
2023-02
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26
Information-theoretic detection of control-flow anomalies in business process event logs
File
File
Ko, Jonghyeon
Thesis
Issue Date
2022-02
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12
Model-agnostic improvement of predictive business process monitoring
File
File
Kim, Jongchan
Thesis
Issue Date
2021-08
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15
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Recent Submissions
Tackling Three Problems in Controlled Sequence Generations: Bridging Reinforcement Learning with Language Models
Graph Neural Networks for Multivariate Time Series Forecasting with Applications
A Comprehensive Study of Deep Learning for Real-World Multivariate Time Series Classification
Information-theoretic detection of control-flow anomalies in business process event logs
Model-agnostic improvement of predictive business process monitoring
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