From 827f8d0369e27c8819ad2d65a2b3e6b8d41f1909 Mon Sep 17 00:00:00 2001 From: "George K. Thiruvathukal" Date: Fri, 6 Sep 2024 21:43:12 -0500 Subject: [PATCH] Add EMSE Paper: Challenges and practices of deep learning model reengineering: A case study on computer vision --- bibs/journal/2024-emse-wenxin.bib | 15 +++++++++++++++ 1 file changed, 15 insertions(+) create mode 100644 bibs/journal/2024-emse-wenxin.bib diff --git a/bibs/journal/2024-emse-wenxin.bib b/bibs/journal/2024-emse-wenxin.bib new file mode 100644 index 0000000..999bf7e --- /dev/null +++ b/bibs/journal/2024-emse-wenxin.bib @@ -0,0 +1,15 @@ + +@article{jiang_challenges_2024, + title = {Challenges and practices of deep learning model reengineering: A case study on computer vision}, + volume = {29}, + issn = {1573-7616}, + url = {https://doi.org/10.1007/s10664-024-10521-0}, + doi = {10.1007/s10664-024-10521-0}, + abstract = {Many engineering organizations are reimplementing and extending deep neural networks from the research community. We describe this process as deep learning model reengineering. Deep learning model reengineering — reusing, replicating, adapting, and enhancing state-of-the-art deep learning approaches — is challenging for reasons including under-documented reference models, changing requirements, and the cost of implementation and testing.}, + pages = {142}, + number = {6}, + journaltitle = {Empirical Software Engineering}, + shortjournal = {Empirical Software Engineering}, + author = {Jiang, Wenxin and Banna, Vishnu and Vivek, Naveen and Goel, Abhinav and Synovic, Nicholas and Thiruvathukal, George K. and Davis, James C.}, + date = {2024-08-20}, +}