{"url":"/method/wintsr","slug":"wintsr","name":"WinTSR","full_name":"Windowed Temporal Saliency Rescaling","full_name_withheld":false,"description_markdown":null,"description_state":"absent","introduced_year":null,"introduced_by":{"title":"WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models","paper":"/paper/wintsr-a-windowed-temporal-saliency-rescaling","first_author":"Md. Khairul Islam","n_authors":2,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/wintsr-a-windowed-temporal-saliency-rescaling"},"source":{"url":"https://arxiv.org/abs/2412.04532v1","title":"WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Interpretability","url":"/methods/category/interpretability","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/wintsr-a-windowed-temporal-saliency-rescaling","title":"WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models","date":"2024-12-05","arxiv_id":"2412.04532","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/feature-importance","name":"Feature Importance","papers":1},{"task":"/task/time-series-1","name":"Time Series","papers":1},{"task":"/task/time-series-classification","name":"Time Series Classification","papers":1},{"task":"/task/time-series-forecasting","name":"Time Series Forecasting","papers":1}],"tasks_shown":4,"n_tasks":4,"usage_by_year":[{"year":"2024","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/wintsr"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}