Electronics in Advanced Research Industries. Alessandro Massaro

      65 65 Zhang, X., Xiao, L., and Kan, J. (2015). Degradation prediction model based on a neural network with dynamic windows. Sensors 15 (3): 6996–7015.

      66 66 Pynam, V., Spanadna, R.R., and Srikanth, K. (2018). An extensive study of data analysis tools (Rapid Miner, Weka, R Tool, Knime, Orange). International Journal of Computer Science and Engineering 5 (9): 4–11.

      67 67 Massaro, A., Maritati, V., Savino, N. et al. (2018). A study of a health resources management platform integrating neural networks and DSS telemedicine for homecare assistance. Information 9 (176): 1–20.

      68 68 Nwankpa, C.E., Ijomah, W., Gachagan, A., and Marshall, S. (2018). Activation functions: comparison of trends in practice and research for deep learning. arXiv:1811.03378v1.

      69 69 Agostinelli, F., Hoffman, M., Sadowski, P., and Baldi, P. (2015). Learning activation functions to improve deep neural networks. arXiv:1412.6830v3.

      70 70 Wan, Y., Li, Y., Song, Y., and Rong, X. (2020). The influence of the activation function in a convolution neural network model of facial expression recognition. Applied Sciences 10 (5): 1–20.

      71 71 Harmon, M. and Klabjan, D. (2017). Activation ensembles for deep neural networks. arXiv:1702.07790v1.

      72 72 Guarnieri, S., Piazza, F., and Uncini, A. (1999). Multilayer feedforward networks with adaptive spline activation function. IEEE Transactions on Neural Networks 10 (3): 672–683.

      73 73 Biau, G. (2012). Analysis of a random forests model. Journal of Machine Learning Research 13: 1063–1095.

      74 74 Massaro, A., Maritati, V., Giannone, D. et al. (2019). LSTM DSS automatism and dataset optimization for diabetes prediction. Applied Sciences 9 (17): 1–22.

      75 75 Massaro, A., Meuli, G., and Galiano, A. (2018). Intelligent electrical multi outlets controlled and activated by a data mining engine oriented to building electrical management. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) 7 (4): 1–20.

      76 76 Massaro, A., Lisco, P., Lombardi, A. et al. (2019). A case study of research improvements in a service industry upgrading the knowledge base of the information system and the process management: data flow automation, association rules and data mining. International Journal of Artificial Intelligence and Applications (IJAIA) 10 (1): 25–46.

      77 77 Massaro, A., Vitti, V., Lisco, P. et al. (2019). A business intelligence platform implemented in a big data system embedding data mining: a case of study. International Journal of Data Mining & Knowledge Management Process (IJDKP) 9 (1): 1–20.

      78 78 Massaro, A., Leogrande, A., Lisco, P. et al. (2019). Innovative BI approaches and methodologies implementing a multilevel analytics platform based on data mining and analytical models: a case of study in roadside assistance services. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) 8 (1): 17–36.