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zY9m8Y)ZV~?+{O-BR83`Ff7g Date: Thu, 14 Nov 2024 00:00:41 +0000 Subject: [PATCH 2/6] Creating 10.21105.joss.06773.crossref.xml --- joss.06773/10.21105.joss.06773.crossref.xml | 432 ++++++++++++++++++++ 1 file changed, 432 insertions(+) create mode 100644 joss.06773/10.21105.joss.06773.crossref.xml diff --git a/joss.06773/10.21105.joss.06773.crossref.xml b/joss.06773/10.21105.joss.06773.crossref.xml new file mode 100644 index 0000000000..7fc3660e98 --- /dev/null +++ b/joss.06773/10.21105.joss.06773.crossref.xml @@ -0,0 +1,432 @@ + + + + 20241114000017-095213beba04d86465f52368d6fa147f77ad4be2 + 20241114000017 + + JOSS Admin + admin@theoj.org + + The Open Journal + + + + + Journal of Open Source Software + JOSS + 2475-9066 + + 10.21105/joss + https://joss.theoj.org + + + + + 11 + 2024 + + + 9 + + 103 + + + + multipers : Multiparameter Persistence for Machine +Learning + + + + David + Loiseaux + + Centre Inria d’Université Côte d’Azur, France + + + + Hannah + Schreiber + + Centre Inria d’Université Côte d’Azur, France + + + + + 11 + 13 + 2024 + + + 6773 + + + 10.21105/joss.06773 + + + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + + + + Software archive + 10.5281/zenodo.14042221 + + + GitHub review issue + https://github.com/openjournals/joss-reviews/issues/6773 + + + + 10.21105/joss.06773 + https://joss.theoj.org/papers/10.21105/joss.06773 + + + https://joss.theoj.org/papers/10.21105/joss.06773.pdf + + + + + + Persistable: Persistent and stable +clustering + Scoccola + Journal of Open Source +Software + 83 + 8 + 10.21105/joss.05022 + 2475-9066 + 2023 + Scoccola, L., & Rolle, A. (2023). +Persistable: Persistent and stable clustering. Journal of Open Source +Software, 8(83), 5022. +https://doi.org/10.21105/joss.05022 + + + Elder-Rule-Staircodes for Augmented Metric +Spaces + Cai + SIAM Journal on Applied Algebra and +Geometry + 3 + 5 + 10.1137/20M1353605 + 2470-6566 + 2021 + Cai, C., Kim, W., Memoli, F., & +Wang, Y. (2021). Elder-Rule-Staircodes for Augmented Metric Spaces. SIAM +Journal on Applied Algebra and Geometry, 5(3), 417–454. +https://doi.org/10.1137/20M1353605 + + + Euler Characteristic Tools For Topological +Data Analysis + Hacquard + arXiv.org + 10.48550/arxiv.2303.14040 + 2023 + Hacquard, O., & Lebovici, V. +(2023). Euler Characteristic Tools For Topological Data Analysis. +arXiv.org. +https://doi.org/10.48550/arxiv.2303.14040 + + + Filtration-domination in bifiltered +graphs + Alonso + 2023 proceedings of the symposium on +algorithm engineering and experiments (ALENEX ) + 10.1137/1.9781611977561.ch3 + 2023 + Alonso, Á. J., Kerber, M., & +Pritam, S. (2023). Filtration-domination in bifiltered graphs. In 2023 +proceedings of the symposium on algorithm engineering and experiments +(ALENEX ) (pp. 27–38). +https://doi.org/10.1137/1.9781611977561.ch3 + + + Delaunay Bifiltrations of Functions on Point +Clouds + Alonso + Proceedings of the 2024 Annual ACM-SIAM +Symposium on Discrete Algorithms ( SODA) + 10.1137/1.9781611977912.173 + 2024 + Alonso, Á. J., Kerber, M., Lam, T., +& Lesnick, M. (2024). Delaunay Bifiltrations of Functions on Point +Clouds. In Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete +Algorithms ( SODA) (pp. 4872–4891). Society for Industrial and Applied +Mathematics. +https://doi.org/10.1137/1.9781611977912.173 + + + GRIL: A $2$-parameter Persistence Based +Vectorization for Machine Learning + Xin + Proceedings of 2nd Annual Workshop on +Topology, Algebra, and Geometry in Machine Learning +(TAG-ML) + 2640-3498 + 2023 + Xin, C., Mukherjee, S., Samaga, S. +N., & Dey, T. K. (2023). GRIL: A $2$-parameter Persistence Based +Vectorization for Machine Learning. Proceedings of 2nd Annual Workshop +on Topology, Algebra, and Geometry in Machine Learning (TAG-ML), +313–333. + + + GUDHI + TheGudhiProject + 2023 + TheGudhiProject. (2023). GUDHI. GUDHI +Editorial Board. + + + Fast, Stable and Efficient Approximation of +Multi-parameter Persistence Modules with MMA + Loiseaux + 10.48550/arXiv.2206.02026 + 2022 + Loiseaux, D., Carrière, M., & +Blumberg, A. J. (2022). Fast, Stable and Efficient Approximation of +Multi-parameter Persistence Modules with MMA. +https://doi.org/10.48550/arXiv.2206.02026 + + + A Framework for Fast and Stable +Representations of Multiparameter Persistent Homology +Decompositions + Loiseaux + Advances in Neural Information Processing +Systems + 36 + 2023 + Loiseaux, D., Carrière, M., & +Blumberg, A. (2023). A Framework for Fast and Stable Representations of +Multiparameter Persistent Homology Decompositions. Advances in Neural +Information Processing Systems, 36, 35774–35798. + + + Fast Minimal Presentations of Bi-graded +Persistence Modules + Kerber + arXiv:2010.15623 [cs, math] + 10.1137/1.9781611976472.16 + 2020 + Kerber, M., & Rolle, A. (2020). +Fast Minimal Presentations of Bi-graded Persistence Modules. +arXiv:2010.15623 [Cs, Math]. +https://doi.org/10.1137/1.9781611976472.16 + + + Multiparameter persistence +landscapes + Vipond + Journal of Machine Learning +Research + 21 + 2020 + Vipond, O. (2020). Multiparameter +persistence landscapes. Journal of Machine Learning Research, 21, +61:1–61:38. + + + Stable and consistent density-based +clustering via multiparameter persistence + Rolle + arXiv.org + 10.48550/arXiv.2005.09048 + 2020 + Rolle, A., & Scoccola, L. 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(2015). +Interactive visualization of 2-D persistence modules. arXiv:1512.00180 +[Cs, Math]. +https://doi.org/10.48550/arXiv.1512.00180 + + + Stable Vectorization of Multiparameter +Persistent Homology using Signed Barcodes as Measures + Loiseaux + Advances in Neural Information Processing +Systems + 36 + 2023 + Loiseaux, D., Scoccola, L., Carrière, +M., Botnan, M. B., & Oudot, S. (2023). Stable Vectorization of +Multiparameter Persistent Homology using Signed Barcodes as Measures. +Advances in Neural Information Processing Systems, 36, +68316–68342. + + + Scikit-learn: Machine Learning in +Python + Pedregosa + Journal of Machine Learning +Research + 85 + 12 + 1533-7928 + 2011 + Pedregosa, F., Varoquaux, G., +Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., +Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., +Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, É. (2011). +Scikit-learn: Machine Learning in Python. Journal of Machine Learning +Research, 12(85), 2825–2830. + + + Signed Barcodes for Multi-Parameter +Persistence via Rank Decompositions + Botnan + 38th International Symposium on Computational +Geometry (SoCG 2022) + 224 + 10.4230/LIPIcs.SoCG.2022.19 + 1868-8969 + 978-3-95977-227-3 + 2022 + Botnan, M. B., Oppermann, S., & +Oudot, S. (2022). Signed Barcodes for Multi-Parameter Persistence via +Rank Decompositions. In X. Goaoc & M. Kerber (Eds.), 38th +International Symposium on Computational Geometry (SoCG 2022) (Vol. 224, +pp. 19:1–19:18). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. +https://doi.org/10.4230/LIPIcs.SoCG.2022.19 + + + On the Stability of Multigraded Betti Numbers +and Hilbert Functions + Oudot + SIAM Journal on Applied Algebra and +Geometry + 1 + 8 + 10.1137/22M1489150 + 2024 + Oudot, S., & Scoccola, L. 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