Next Article in Journal
Frustratingly Easy Environment Discovery for Invariant Learning
Previous Article in Journal
Pretrained Language Models as Containers of the Discursive Knowledge
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:

Statement of Peer Review

Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA 02139, USA
NEC Laboratories America, San Jose, CA 95110, USA
United Imaging Intelligence, Cambridge, MA 02140, USA
Authors to whom correspondence should be addressed.
Comput. Sci. Math. Forum 2024, 9(1), 1;
Published: 23 January 2024
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
  • 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.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

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.

AMA Style

Peng K-C, Aich A, Wu Z. Statement of Peer Review. Computer Sciences & Mathematics Forum. 2024; 9(1):1.

Chicago/Turabian Style

Peng, Kuan-Chuan, Abhishek Aich, and Ziyan Wu. 2024. "Statement of Peer Review" Computer Sciences & Mathematics Forum 9, no. 1: 1.

Article Metrics

Back to TopTop