Ma, H., Wang, L., Jin, C., Zhou, H., Zhang, J., Yang, X., . . . Zhou, S. (2026). DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression. Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, 3597. https://doi.org/10.1145/3770855.3818149
Παραπομπή σε μορφή Chicago (17η εκδ.)Ma, Hongxu, Lin Wang, Chenghou Jin, Han Zhou, Jie Zhang, Xiaoyu Yang, Chunjie Chen, Jihong Guan, και Shuigeng Zhou. "DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression." Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 2026: 3597. https://doi.org/10.1145/3770855.3818149.
Παραπομπή σε μορφή MLA (9th εκδ.)Ma, Hongxu, et al. "DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression." Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, 2026, p. 3597, https://doi.org/10.1145/3770855.3818149.