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TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features.

, , , , , and . ICANN (Workshop), volume 11731 of Lecture Notes in Computer Science, page 426-439. Springer, (2019)

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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)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)Time to Focus: A Comprehensive Benchmark using Time Series Attribution Methods., , , and . ICAART (2), page 562-573. SCITEPRESS, (2022)Interpreting Deep Models through the Lens of Data., , , and . IJCNN, page 1-8. IEEE, (2020)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)PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification., , and . IJCNN, page 1-8. IEEE, (2021)TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features., , , , , and . ICANN (Workshop), volume 11731 of Lecture Notes in Computer Science, page 426-439. Springer, (2019)