Author:
Martins Ramon Mayor,Espíndola Bruno Manarin,Araujo Pedro Philippi,von Wangenheim Christiane Gresse,de Carvalho Pinto Carlos José,Caminha Gisele
Publisher
Springer Nature Switzerland
Reference33 articles.
1. Amershi, S., et al.: Software engineering for machine learning: a case study. In: Proceedings of the 41st International Conference on Software Engineering, Montreal, Canada (2019)
2. Arista-Jalife, A., et al.: Deep learning employed in the recognition of the vector that spreads dengue, chikungunya and zika viruses. In: Frontiers in Artificial Intelligence and Applications, vol. 303, pp. 108–120. IOS Press, Amsterdam (2018)
3. Arista-Jalife, A., et al.: Aedes mosquito detection in its larval stage using deep neural networks. Knowl.-Based Syst. 189, 104841 (2020)
4. Asmai, S.A., et al.: Mosquito larvae detection using deep learning. Int. J. Innov. Technol. Explor. Eng. 8(12), 804–809 (2019)
5. Azman, M.I.A.B.Z., Sarlan, A.B.: Aedes larvae classification and detection (ALCD) system by using deep learning. In: 2020 International Conference on Computational Intelligence (ICCI), pp. 179–184 (2020)