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Deep Learning, Film History: Model Explanation Techniques in the Analysis of Temporality in Finnish Fiction Film Metadata.

, , , , and . DHNB, volume 3232 of CEUR Workshop Proceedings, page 50-62. CEUR-WS.org, (2022)

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A System for Identifying and Exploring Text Repetition in Large Historical Document Corpora., , , , and . NODALIDA, volume 131 of Linköping Electronic Conference Proceedings, page 330-333. Linköping University Electronic Press / Association for Computational Linguistics, (2017)The Long-Term Reuse of Text in the Finnish Press, 1771-1920., , , and . DHN, volume 2364 of CEUR Workshop Proceedings, page 394-404. CEUR-WS.org, (2019)Textual Migration Across the Baltic Sea: Creating a Database of Text Reuse Between Finland and Sweden., , , , , and . DHNB, volume 3232 of CEUR Workshop Proceedings, page 361-369. CEUR-WS.org, (2022)Using word vector models to trace conceptual change over time and space in historical newspapers, 1840-1914., , , , , , and . Digit. Humanit. Q., (2022)Tracing Signs of Urbanity in the Finnish Fiction Film of the 1950s: Toward a Multimodal Analysis of Audiovisual Data., , , , , , , , , and . DHNB, volume 3232 of CEUR Workshop Proceedings, page 63-78. CEUR-WS.org, (2022)Applying BLAST to Text Reuse Detection in Finnish Newspapers and Journals, 1771-1910., , , , , and . ListLang@NoDaLiDa, page 54-58. Linköping University Electronic Press, (2017)Deep Learning, Film History: Model Explanation Techniques in the Analysis of Temporality in Finnish Fiction Film Metadata., , , , and . DHNB, volume 3232 of CEUR Workshop Proceedings, page 50-62. CEUR-WS.org, (2022)Crowdsourcing Metadata for Audiovisual Cultural Heritage: Finnish Full-Length Films, 1946-1985., , , , and . DHN, volume 2612 of CEUR Workshop Proceedings, page 325-332. CEUR-WS.org, (2020)Is there deep learning on Mars? STEAM education in an inquiry-based out-of-school setting., , and . Interact. Learn. Environ., 31 (2): 1173-1185 (February 2023)