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Sercan Arik

Learned Feature Importance Scores for Automated Feature Engineering

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Jun 06, 2024
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ASPEST: Bridging the Gap Between Active Learning and Selective Prediction

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Apr 07, 2023
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Data-Efficient and Interpretable Tabular Anomaly Detection

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Mar 03, 2022
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Decoupling Local and Global Representations of Time Series

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Feb 11, 2022
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Distance-Based Learning from Errors for Confidence Calibration

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Dec 03, 2019
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EPNAS: Efficient Progressive Neural Architecture Search

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Jul 07, 2019
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Deep Voice 2: Multi-Speaker Neural Text-to-Speech

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Sep 20, 2017
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Supervised classification-based stock prediction and portfolio optimization

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Jun 03, 2014
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