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Ontology-based Information Extraction from Technical Documents., , , , , and . ICAART (2), page 493-500. SciTePress, (2018)TimeFrame: A Novel Framework for Interpretable and Privacy-Preserving Deep Learning for Time Series Analysis.. Kaiserslautern University of Technology, Germany, (2023)TSInsight: A local-global attribution framework for interpretability in time-series data., , , and . CoRR, (2020)Time to Focus: A Comprehensive Benchmark using Time Series Attribution Methods., , , and . ICAART (2), page 562-573. SCITEPRESS, (2022)Utilizing Out-Domain Datasets to Enhance Multi-task Citation Analysis., , , , and . ICAART (Revised Selected Papers), volume 13251 of Lecture Notes in Computer Science, page 113-134. Springer, (2021)Interpreting Deep Models through the Lens of Data., , , and . IJCNN, page 1-8. IEEE, (2020)From private to public: benchmarking GANs in the context of private time series classification., , and . Appl. Intell., 54 (20): 9607-9621 (October 2024)Towards privacy preserved document image classification: a comprehensive benchmark., , , , and . Int. J. Document Anal. Recognit., 27 (3): 475-499 (September 2024)TSViz: Demystification of Deep Learning Models for Time-Series Analysis., , , , and . IEEE Access, (2019)ImpactCite: An XLNet-based Solution Enabling Qualitative Citation Impact Analysis Utilizing Sentiment and Intent., , , , and . ICAART (2), page 159-168. SCITEPRESS, (2021)