{"_id":"14410","alternative_title":["LNCS"],"doi":"10.1007/978-3-031-40773-4_6","conference":{"name":"RRPR: Reproducible Research in Pattern Recognition","end_date":"2022-08-21","start_date":"2022-08-21","location":"Montreal, Canada"},"department":[{"_id":"ChLa"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"last_name":"Tomaszewska","full_name":"Tomaszewska, Paulina","first_name":"Paulina"},{"first_name":"Christoph","full_name":"Lampert, Christoph","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8622-7887","last_name":"Lampert"}],"publisher":"Springer Nature","intvolume":"     14068","scopus_import":"1","month":"08","date_updated":"2023-10-09T06:48:02Z","oa_version":"None","volume":14068,"page":"67-73","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."}],"article_processing_charge":"No","publication_identifier":{"eissn":["1611-3349"],"issn":["0302-9743"],"isbn":["9783031407727"]},"title":"On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift","publication_status":"published","year":"2023","quality_controlled":"1","day":"20","date_published":"2023-08-20T00:00:00Z","status":"public","citation":{"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.","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.","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>.","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.","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>"},"publication":"International Workshop on Reproducible Research in Pattern Recognition","type":"conference","date_created":"2023-10-08T22:01:18Z"}