From ec71bd847d21f3fb9cab0b65e71ad8c2e12761aa Mon Sep 17 00:00:00 2001 From: Edgar Wolf Date: Fri, 25 Apr 2025 15:40:59 +0200 Subject: [PATCH 1/2] update paper reference --- README.md | 19 +++++++++++++++++-- 1 file changed, 17 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 46d02ca..e49903d 100644 --- a/README.md +++ b/README.md @@ -3,8 +3,8 @@ Benchmarking framework for generating high-dimensional synthetic drifted data and evaluating models. -The corresponding open-access paper, [Edgar Wolf and Tobias Windisch (2024), A method to benchmark high-dimensional -process drift detection](https://arxiv.org/abs/2409.03669), describes the +The corresponding open-access paper, [Edgar Wolf and Tobias Windisch (2025), A method to benchmark high-dimensional +process drift detection](https://link.springer.com/article/10.1007/s10845-025-02590-9), describes the method in detail. To run the benchmarks, execute: @@ -46,3 +46,18 @@ def plot_benchmark(df): df = pd.read_json('benchmarks.json') fig = plot_benchmark(df) +``` + +## Citation +Please cite [**driftbench**](https://github.com/edgarWolf/driftbench) if you use this framework in your publications: +```bibtex +@article{wolf_method_2025, + title = {A method to benchmark high-dimensional process drift detection}, + issn = {1572-8145}, + url = {https://doi.org/10.1007/s10845-025-02590-9}, + doi = {10.1007/s10845-025-02590-9}, + journal = {Journal of Intelligent Manufacturing}, + author = {Wolf, Edgar and Windisch, Tobias}, + year = {2025}, +} +``` From 935501d83419ff3a8fe3005f701e9c069c494ae7 Mon Sep 17 00:00:00 2001 From: Edgar Wolf Date: Fri, 25 Apr 2025 15:42:30 +0200 Subject: [PATCH 2/2] version bump --- VERSION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/VERSION b/VERSION index d169b2f..c5d54ec 100644 --- a/VERSION +++ b/VERSION @@ -1 +1 @@ -0.0.8 +0.0.9