Scott Wahl, John Sheppard 0001. Approximate Orthogonal Spectral Autoencoders for Community Analysis in Social Networks. In M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan, editors, 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022. pages 1159-1166, IEEE, 2022. [doi]
@inproceedings{WahlS22-1,
title = {Approximate Orthogonal Spectral Autoencoders for Community Analysis in Social Networks},
author = {Scott Wahl and John Sheppard 0001},
year = {2022},
doi = {10.1109/ICMLA55696.2022.00188},
url = {https://doi.org/10.1109/ICMLA55696.2022.00188},
researchr = {https://researchr.org/publication/WahlS22-1},
cites = {0},
citedby = {0},
pages = {1159-1166},
booktitle = {21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022},
editor = {M. Arif Wani and Mehmed M. Kantardzic and Vasile Palade and Daniel Neagu and Longzhi Yang and Kit Yan Chan},
publisher = {IEEE},
isbn = {978-1-6654-6283-9},
}