Generated by GPT-5-mini| CEUR Workshop Proceedings | |
|---|---|
| Title | CEUR Workshop Proceedings |
| Discipline | Computer science |
| Language | English |
| Publisher | Voluntary editors and conference organizers |
| Country | International |
| Frequency | Irregular |
| Firstdate | 1995 |
| Issn | 1613-0073 |
CEUR Workshop Proceedings
CEUR Workshop Proceedings is an open-access series providing rapid online proceedings for conferences, workshops, symposia, and tutorials in computer science and related fields. Founded to serve communities around events such as International Conference on Machine Learning, NeurIPS, SIGCHI Conference on Human Factors in Computing Systems, WWW Conference, and International Conference on Data Mining, the series supports dissemination alongside venues like ACM Special Interest Group on Computer-Human Interaction, IEEE Computer Society, Association for Computing Machinery, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, and International Joint Conference on Artificial Intelligence.
The series functions as a community-led repository paralleling platforms such as arXiv, bioRxiv, and HAL (open archive), facilitating event-driven publication comparable to proceedings from Springer Lecture Notes in Computer Science, IEEE Xplore, and ACM Digital Library. It accepts contributions tied to events including International Conference on Software Engineering, International Conference on Formal Methods, International Conference on Data Engineering, International Conference on Autonomous Agents and Multiagent Systems, and Conference on Computer Vision and Pattern Recognition. The platform interconnects with editorial practices familiar to organizers of European Geosciences Union General Assembly, International Conference on Information Systems, International Conference on Learning Representations, and International Conference on Computer Vision.
The initiative traces origins to communities active in the mid-1990s, contemporaneous with founding moments of World Wide Web Conference, SIGGRAPH, Usenix Annual Technical Conference, and projects like Project Gutenberg. Early governance drew upon models from Free Software Foundation, Open Source Initiative, and practices in repositories such as CERN Document Server and National Institutes of Health PubMed Central. Milestones included adaptation during the rise of venues like European Conference on Machine Learning, International Conference on Artificial Intelligence and Statistics, Knowledge Discovery and Data Mining, and the expansion of workshop culture evident at CHI, ICML, and NeurIPS.
Coverage spans topics connected to events like International Conference on Software Engineering, International Symposium on Computer Architecture, Annual Meeting of the Association for Computational Linguistics, International Conference on Robotics and Automation, and ACM Conference on Computer and Communications Security. Typical items parallel collections from Lecture Notes in Computer Science, Proceedings of the National Academy of Sciences, and special issues in journals such as Communications of the ACM and IEEE Transactions on Pattern Analysis and Machine Intelligence. The series includes papers associated with institutions and initiatives including Massachusetts Institute of Technology, Stanford University, University of Cambridge, ETH Zurich, Max Planck Society, CNRS, Tsinghua University, Peking University, Indian Institute of Technology, University of Toronto, and University of California, Berkeley.
The model emphasizes rapid, free access akin to arXiv and bioRxiv, with submissions managed by event organizers similar to editorial processes at Springer Nature and Elsevier. Content distribution reflects open-access tenets promoted by actors like Budapest Open Access Initiative, Plan S, Wellcome Trust, and Bill & Melinda Gates Foundation. Distribution channels intersect with indexing services and aggregators such as Google Scholar, Scopus, Web of Science, and institutional repositories maintained by Harvard University Library, Oxford University Press, and Yale University Library.
Technically, the platform provisions PDF and occasionally HTML formats, mirroring production workflows used by LaTeX Project, TeX Users Group, Overleaf, and typesetting traditions of Springer LNCS and IEEEtran. Metadata practices align with standards advocated by Dublin Core Metadata Initiative, Open Archives Initiative, CrossRef, and ORCID for author identifiers. Preservation and mirroring strategies echo efforts by CLOCKSS, Portico, and national libraries such as the Library of Congress and the Deutsche Nationalbibliothek.
Governance is decentralized, relying on volunteer editors and conference organizers similar to stewardship models used by Creative Commons, Wikimedia Foundation, International Organization for Standardization, and academic societies like Association for Computing Machinery and Institute of Electrical and Electronics Engineers. Editorial policies address copyright and licensing issues in the spirit of Creative Commons Attribution, Creative Commons Attribution-ShareAlike, and publisher norms observed by Cambridge University Press and Oxford University Press. Event organizers implement peer review and program committee arrangements akin to procedures at NeurIPS, ICML, ACL, and SIGGRAPH.
The series has been used by communities around venues like ICSE, CHI, NeurIPS, ICML, ACL, CVPR, ECCV, ICLR, and KDD for rapid dissemination, influencing citation practices observable in Google Scholar profiles of researchers affiliated with MIT, Stanford, UC Berkeley, Carnegie Mellon University, and University of Oxford. Its role complements formal journal publication pathways at outlets such as Journal of Machine Learning Research, IEEE Transactions on Neural Networks, Artificial Intelligence Journal, ACM Transactions on Graphics, and Transactions of the Association for Computational Linguistics, while intersecting with community resources like GitHub, Zenodo, and Figshare for data and code sharing.
Category:Open access publications