Lhoest, L.; Lamrini, M.; Vandendriessche, J.; Wouters, N.; da Silva, B.; Chkouri, M.Y.; Touhafi, A.
MosAIc: A Classical Machine Learning Multi-Classifier Based Approach against Deep Learning Classifiers for Embedded Sound Classification. Appl. Sci. 2021, 11, 8394.
https://doi.org/10.3390/app11188394
AMA Style
Lhoest L, Lamrini M, Vandendriessche J, Wouters N, da Silva B, Chkouri MY, Touhafi A.
MosAIc: A Classical Machine Learning Multi-Classifier Based Approach against Deep Learning Classifiers for Embedded Sound Classification. Applied Sciences. 2021; 11(18):8394.
https://doi.org/10.3390/app11188394
Chicago/Turabian Style
Lhoest, Lancelot, Mimoun Lamrini, Jurgen Vandendriessche, Nick Wouters, Bruno da Silva, Mohamed Yassin Chkouri, and Abdellah Touhafi.
2021. "MosAIc: A Classical Machine Learning Multi-Classifier Based Approach against Deep Learning Classifiers for Embedded Sound Classification" Applied Sciences 11, no. 18: 8394.
https://doi.org/10.3390/app11188394
APA Style
Lhoest, L., Lamrini, M., Vandendriessche, J., Wouters, N., da Silva, B., Chkouri, M. Y., & Touhafi, A.
(2021). MosAIc: A Classical Machine Learning Multi-Classifier Based Approach against Deep Learning Classifiers for Embedded Sound Classification. Applied Sciences, 11(18), 8394.
https://doi.org/10.3390/app11188394