Funder
LG Electronics
Korea Institute of Energy Technology Evaluation and Planning
Publisher
Springer Science and Business Media LLC
Reference56 articles.
1. Akbari, H., Yuan, L., Qian, R., Chuang, W. H., Chang, S. F., Cui, Y., & Gong, B. (2021). Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text. Advances in Neural Information Processing Systems, 34, 24206–24221.
2. Balagourouchetty, L., Pragatheeswaran, J. K., Pottakkat, B., & Ramkumar, G. (2019). GoogLeNet-based ensemble FCNet classifier for focal liver lesion diagnosis. IEEE Journal of Biomedical and Health Informatics, 24(6), 1686–1694. https://doi.org/10.1109/JBHI.2019.2942774.
3. Basak, S., Das, H., Pal, T. K., & Shome, M. (2016). Characterization of intermetallics in aluminum to zinc coated interstitial free steel joining by pulsed MIG brazing for automotive application. Materials Characterization, 112, 229–237. https://doi.org/10.1016/j.matchar.2015.12.030.
4. Bochkovskiy, A., Wang, C. Y., & Liao, H. Y. M. (2020). Yolov4: Optimal speed and accuracy of object detection. arXiv Preprint arXiv:2004 10934. https://doi.org/10.48550/arXiv.2004.10934.
5. Bonab, H., & Can, F. (2019). Less is more: A comprehensive framework for the number of components of ensemble classifiers. IEEE Transactions on Neural Networks and Learning Systems, 30(9), 2735–2745. https://doi.org/10.1109/TNNLS.2018.2886341.