Statement of Peer Review
1
Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA 02139, USA
2
NEC Laboratories America, San Jose, CA 95110, USA
3
United Imaging Intelligence, Cambridge, MA 02140, USA
*
Authors to whom correspondence should be addressed.
Comput. Sci. Math. Forum 2024, 9(1), 1; https://doi.org/10.3390/cmsf2024009001
Published: 23 January 2024
(This article belongs to the Proceedings of The 2nd AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD))
In submitting conference proceedings to the Computer Sciences & Mathematics Forum, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal.
- Type of peer review: double-blind.
- Conference submission management system: CMT via https://cmt3.research.microsoft.com/AIBSD2024
- Number of submissions sent for review: 21.
- Number of submissions accepted: eight submissions are accepted to be presented at the 2nd AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD), and five of those eight accepted submissions are encouraged to further submit to MDPI for publication.
- Acceptance rate (number of submissions accepted/number of submissions received): ~38% for the submissions presented at the 2nd AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD); ~24% for the submissions encouraged to further submit to MDPI for publication.
- Average number of reviews per paper: two.
- Total number of reviewers involved: 18.
- Any additional information on the review process: The average number of papers assigned to each reviewer is only 2~3 to ensure the review quality.
Conflicts of Interest
The authors declare no conflicts of interest.
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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
MDPI and ACS Style
Peng, K.-C.; Aich, A.; Wu, Z. Statement of Peer Review. Comput. Sci. Math. Forum 2024, 9, 1. https://doi.org/10.3390/cmsf2024009001
AMA Style
Peng K-C, Aich A, Wu Z. Statement of Peer Review. Computer Sciences & Mathematics Forum. 2024; 9(1):1. https://doi.org/10.3390/cmsf2024009001
Chicago/Turabian StylePeng, Kuan-Chuan, Abhishek Aich, and Ziyan Wu. 2024. "Statement of Peer Review" Computer Sciences & Mathematics Forum 9, no. 1: 1. https://doi.org/10.3390/cmsf2024009001
