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Generation of False Data Injection Attacks using Conditional Generative Adversarial Networks., , , , и . ISGT-Europe, стр. 41-45. IEEE, (2020)A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems., , , , и . ACM Trans. Inf. Syst., 40 (2): 32:1-32:31 (2022)Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data., , , , и . CoRR, (2019)Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost., , , , , и . CoRR, (2022)Introduction to The Special Section on Bias and Fairness in AI., , , , и . SIGKDD Explor., 23 (1): 1-3 (2021)Immediate Elaborated Feedback Personalization in Online Assessment., , и . EC-TEL, том 5192 из Lecture Notes in Computer Science, стр. 449-460. Springer, (2008)Teaching Responsible Machine Learning to Engineers., и . Teaching ML, том 170 из Proceedings of Machine Learning Research, стр. 40-45. PMLR, (2021)Dynamic Sparse Network for Time Series Classification: Learning What to "See"., , , , , , и . NeurIPS, (2022)Infinite motif stochastic blockmodel for role discovery in networks., , , и . ASONAM, стр. 456-459. ACM, (2019)Are Large Kernels Better Teachers than Transformers for ConvNets?, , , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 14023-14038. PMLR, (2023)