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Imputing Missing Observations with Time Sliced Synthetic Minority Oversampling Technique
14 January 2022
Andrew Baumgartner
S. Molani
Qinglai Wei
J. Hadlock
AI4TS
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Papers citing
"Imputing Missing Observations with Time Sliced Synthetic Minority Oversampling Technique"
2 / 2 papers shown
Setting the Standard: Recommended Practices for Data Preprocessing in Data-Driven Climate Prediction
Jason C. Furtado
Maria J. Molina
Marybeth C. Arcodia
Weston Anderson
Tom Beucler
...
Jhayron S. Pérez-Carrasquilla
Maike Sonnewald
Ken Takahashi
Baoqiang Xiang
Brian G. Zimmerman
AI4TS
AI4CE
132
0
0
09 Aug 2025
Transforming Credit Risk Analysis: A Time-Series-Driven ResE-BiLSTM Framework for Post-Loan Default Detection
Yue Yang
Yuxiang Lin
Ying Zhang
Zihan Su
Chang Chuan Goh
Tangtangfang Fang
Anthony Graham Bellotti
Boon Giin Lee
AI4TS
127
0
0
01 Aug 2025
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