{"oa_version":"None","intvolume":"     14068","volume":14068,"date_created":"2023-10-08T22:01:18Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2023","publisher":"Springer Nature","scopus_import":"1","quality_controlled":"1","title":"On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift","status":"public","alternative_title":["LNCS"],"type":"conference","publication":"International Workshop on Reproducible Research in Pattern Recognition","author":[{"full_name":"Tomaszewska, Paulina","last_name":"Tomaszewska","first_name":"Paulina"},{"first_name":"Christoph","last_name":"Lampert","full_name":"Lampert, Christoph","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8622-7887"}],"day":"20","doi":"10.1007/978-3-031-40773-4_6","page":"67-73","article_processing_charge":"No","month":"08","date_updated":"2023-10-09T06:48:02Z","publication_identifier":{"issn":["0302-9743"],"isbn":["9783031407727"],"eissn":["1611-3349"]},"publication_status":"published","citation":{"ama":"Tomaszewska P, Lampert C. On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift. In: <i>International Workshop on Reproducible Research in Pattern Recognition</i>. Vol 14068. Springer Nature; 2023:67-73. doi:<a href=\"https://doi.org/10.1007/978-3-031-40773-4_6\">10.1007/978-3-031-40773-4_6</a>","apa":"Tomaszewska, P., &#38; Lampert, C. (2023). On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift. In <i>International Workshop on Reproducible Research in Pattern Recognition</i> (Vol. 14068, pp. 67–73). Montreal, Canada: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-031-40773-4_6\">https://doi.org/10.1007/978-3-031-40773-4_6</a>","ista":"Tomaszewska P, Lampert C. 2023. On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift. International Workshop on Reproducible Research in Pattern Recognition. RRPR: Reproducible Research in Pattern Recognition, LNCS, vol. 14068, 67–73.","chicago":"Tomaszewska, Paulina, and Christoph Lampert. “On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) under Class-Prior Shift.” In <i>International Workshop on Reproducible Research in Pattern Recognition</i>, 14068:67–73. Springer Nature, 2023. <a href=\"https://doi.org/10.1007/978-3-031-40773-4_6\">https://doi.org/10.1007/978-3-031-40773-4_6</a>.","short":"P. Tomaszewska, C. Lampert, in:, International Workshop on Reproducible Research in Pattern Recognition, Springer Nature, 2023, pp. 67–73.","mla":"Tomaszewska, Paulina, and Christoph Lampert. “On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) under Class-Prior Shift.” <i>International Workshop on Reproducible Research in Pattern Recognition</i>, vol. 14068, Springer Nature, 2023, pp. 67–73, doi:<a href=\"https://doi.org/10.1007/978-3-031-40773-4_6\">10.1007/978-3-031-40773-4_6</a>.","ieee":"P. Tomaszewska and C. Lampert, “On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift,” in <i>International Workshop on Reproducible Research in Pattern Recognition</i>, Montreal, Canada, 2023, vol. 14068, pp. 67–73."},"date_published":"2023-08-20T00:00:00Z","conference":{"location":"Montreal, Canada","end_date":"2022-08-21","name":"RRPR: Reproducible Research in Pattern Recognition","start_date":"2022-08-21"},"_id":"14410","department":[{"_id":"ChLa"}],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"This paper focuses on the implementation details of the baseline methods and a recent lightweight conditional model extrapolation algorithm LIMES [5] for streaming data under class-prior shift. LIMES achieves superior performance over the baseline methods, especially concerning the minimum-across-day accuracy, which is important for the users of the system. In this work, the key measures to facilitate reproducibility and enhance the credibility of the results are described."}]}