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Elke Rundensteiner

Class-Specific Explainability for Deep Time Series Classifiers

Oct 11, 2022
Ramesh Doddaiah, Prathyush Parvatharaju, Elke Rundensteiner, Thomas Hartvigsen

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* This paper is accepted in ICDM 2022

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Stop&Hop: Early Classification of Irregular Time Series

Aug 21, 2022
Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke Rundensteiner

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* This paper was accepted to CIKM'22. Code at https://github.com/thartvigsen/StopAndHop

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MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking

Jul 20, 2022
Kathleen Cachel, Elke Rundensteiner, Lane Harrison

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* This paper has been accepted by IEEE ICDE 2022. 15 pages, and 7 figures

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MLAS: Metric Learning on Attributed Sequences

Nov 08, 2020
Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner, Jihane Zouaoui, Aditya Arora

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* Accepted by IEEE Big Data 2020

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Attributed Sequence Embedding

Nov 03, 2019
Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner, Jihane Zouaoui, Aditya Arora

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* Accepted by IEEE Big Data 2019

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