1. Alcobaça, E., Siqueira, F., Rivolli, A., Garcia, L.P.F., Oliva, J.T., de Carvalho, A.C.P.L.F.: MFE: towards reproducible meta-feature extraction. J. Mach. Learn. Res. 21(111), 1–5 (2020)
2. Ali, S., Smith, K.A.: On learning algorithm selection for classification. Appl. Soft Comput. 6(2), 119–138 (2006)
3. Brazdil, P., Gama, J., Henery, B.: Characterizing the applicability of classification algorithms using meta-level learning. In: Bergadano, F., De Raedt, L. (eds.) Proceedings of the European Conference on Machine Learning (ECML-94), pp. 83–102. Springer Berlin Heidelberg, Berlin, Heidelberg (1994)
4. Brazdil, P.B., Soares, C., Da Costa, J.P.: Ranking learning algorithms: using IBL and meta-learning on accuracy and time results. Mach. Learn. 50(3), 251–277 (2003)
5. Iddo Drori, L., Liu, Y.N., Koorathota, S.C., Li, J.S., Freire, J., Udell, M.: Automl using metadata language embeddings, Antonio Khalil Moretti (2019)