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Explaining Anomalies in Industrial Multivariate Time-series Data with the help of eXplainable AI.

S. Tripathy, A. Chouhan, M. Dix, A. Kotriwala, B. Klöpper, and A. Prabhune. BigComp, page 226-233. IEEE, (2022)

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Classifying Cognitive Load for a Proactive In-car Voice Assistant.M. Schmidt, O. Bhandare, A. Prabhune, W. Minker, and S. Werner. BigDataService, page 9-16. IEEE, (2020)MetaStore: A metadata framework for scientific data repositories.A. Prabhune, H. Ansari, A. Keshav, R. Stotzka, M. Gertz, and J. Hesser. IEEE BigData, page 3026-3035. IEEE Computer Society, (2016)Anomaly detection in the time-series data of industrial plants using neural network architectures.M. Dix, A. Chouhan, S. Ganguly, S. Pradhan, D. Saraswat, S. Agrawal, and A. Prabhune. BigDataService, page 222-228. IEEE, (2021)Managing Provenance for Medical Datasets - An Example Case for Documenting the Workflow for Image Processing.A. Prabhune, R. Stotzka, M. Gertz, L. Zheng, and J. Hesser. HEALTHINF, page 236-243. SciTePress, (2017)Generic and adaptive metadata management framework for scientific data repositories.A. Prabhune. University of Heidelberg, Germany, (2018)DWreck: A Data Wrecker Framework for Generating Unclean Datasets.A. Chouhan, A. Prabhune, P. Prabhuraj, and H. Chaudhari. BigDataService, page 78-87. IEEE, (2020)Shotifier: A Binary Shot Conversion Classifier Pipeline for Football Forwards.A. Chouhan, A. Prabhune, A. Raj, D. Chandra, S. Subramanya, M. Asangi, and S. Thottempudi. BigComp, page 156-163. IEEE, (2021)FIF: A NLP-based Feature Identification Framework for Data Warehouses.A. Prabhune, and A. Chouhan. WI, page 276-281. ACM, (2019)Prov2ONE: An Algorithm for Automatically Constructing ProvONE Provenance Graphs.A. Prabhune, A. Zweig, R. Stotzka, M. Gertz, and J. Hesser. IPAW, volume 9672 of Lecture Notes in Computer Science, page 204-208. Springer, (2016)Software workflow for the automatic tagging of medieval manuscript images (SWATI).S. Chandna, D. Tonne, T. Jejkal, R. Stotzka, C. Krause, P. Vanscheidt, H. Busch, and A. Prabhune. DRR, volume 9402 of SPIE Proceedings, page 940206. SPIE, (2015)

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Disambiguation of "Prabhune, Ajinkya"

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Explaining Anomalies in Industrial Multivariate Time-series Data with the help of eXplainable AI.

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Disambiguation of "Prabhune, Ajinkya"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Explaining Anomalies in Industrial Multivariate Time-series Data with the help of eXplainable AI.

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Explaining Anomalies in Industrial Multivariate Time-series Data with the help of eXplainable AI.