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  • Paterakis G, Fafalios S, Charonyktakis P, Christophides V and Tsamardinos I. (2024). Do We Really Need Imputation in AutoML Predictive Modeling?. ACM Transactions on Knowledge Discovery from Data. 18:6. (1-64). Online publication date: 31-Jul-2024.

    https://doi.org/10.1145/3643643

  • Jiang M, Hou C, Zheng A, Han S, Huang H, Wen Q, Hu X and Zhao Y. ADGym. Proceedings of the 37th International Conference on Neural Information Processing Systems. (70179-70207).

    /doi/10.5555/3666122.3669197

  • Wang M, Guan S, Ma H, Bian Y, Che H, Daundkar A, Sehirlioglu A and Wu Y. Selecting Top-k Data Science Models by Example Dataset. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. (2686-2695).

    https://doi.org/10.1145/3583780.3615051

  • Melo F, de Carvalho A, Lorena A and Garcia L. Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection. Hybrid Artificial Intelligent Systems. (51-62).

    https://doi.org/10.1007/978-3-031-40725-3_5

  • Nayak A, Božić B and Longo L. An Ontological Approach for Recommending a Feature Selection Algorithm. Web Engineering. (300-314).

    https://doi.org/10.1007/978-3-031-09917-5_20