1. Cao, Y.: Internet financial supervision based on machine learning and improved neural network. J. Intell. Fuzzy Syst. 47, 1–12 (2020)
2. Solmaz, M.E., Mutlu, A.Y., Alankus, G., et al.: Quantifying colorimetric tests using a smartphone app based on machine learning classifiers. Sens. Actuators 255(2), 1967–1973 (2018)
3. Rückert, P., Papenberg, B., Tracht, K.: Classification of assembly operations using machine learning algorithms based on visual sensor data. Procedia CIRP 97, 110–116 (2021)
4. Soula, M., Karanika, A., Kolomvatsos, K., et al.: Intelligent tasks allocation at the edge based on machine learning and bio-inspired algorithms. Evolving Syst. 1–22 (2021)
5. Nguyen, T., Raich, R., Fern, X.Z., et al.: IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), IEEE 2017, Tokyo, 25–28 September 2017, MIML-AI: Mixed-supervision Multi-instance, pp. 1–6 (2017)