| Word embeddings via causal inference: Gender bias reducing and semantic information preserving L Ding, D Yu, J Xie, W Guo, S Hu, M Liu, L Kong, H Dai, Y Bao, B Jiang Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11864 …, 2022 | 17 | 2022 |
| Balancing gender bias in job advertisements with text-level bias mitigation S Hu, JA Al-Ani, KD Hughes, N Denier, A Konnikov, L Ding, J Xie, Y Hu, ... Frontiers in big Data 5, 805713, 2022 | 8 | 2022 |
| Linglong Kong, Hongsheng Dai, Yanchun Bao, and Bei Jiang. 2022. Word embeddings via causal inference: Gender bias reducing and semantic information preserving L Ding, D Yu, J Xie, W Guo, S Hu, M Liu Proceedings of the AAAI Conference on Artificial Intelligence 36, 11864-11872, 2022 | 6 | 2022 |
| Responsible AI for labour market equality (BIAS) A Konnikov, I Rets, KD Hughes, JA Al-Ani, N Denier, L Ding, S Hu, Y Hu, ... How to Manage International Multidisciplinary Research Projects, 75-87, 2022 | 1 | 2022 |
| Statistical Disaggregation—a Monte Carlo Approach for Imputation under Constraints S Hu, H Dai, F Meng, G Roberts | | 2024 |
| Drawing exact samples: rejection sampling, density fusion and constrained disaggregation S Hu University of Essex, 2023 | | 2023 |
| Gendered STEM Workforce in the United Kingdom: The Role of Gender Bias in Job Advertising Y Hu, M Tarafdar, J Alshehabi Al-Ani, I Rets, S Hu, N Denier, KD Hughes, ... HMSO, 2022 | | 2022 |
