Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract). Jobe, A., Ky, R., Luo, S., Dhamsania, A., Purohit, S., & Serra, E. In Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, pages 23525–23527, 2024. Paper doi bibtex @inproceedings{DBLP:conf/aaai/JobeKLDPS24,
author = {Amelia Jobe and
Richard Ky and
Sandra Luo and
Akshay Dhamsania and
Sumit Purohit and
Edoardo Serra},
title = {Power Grid Anomaly Detection via Hybrid {LSTM-GIN} Model (Student
Abstract)},
booktitle = {Thirty-Eighth {AAAI} Conference on Artificial Intelligence, {AAAI}
2024, Thirty-Sixth Conference on Innovative Applications of Artificial
Intelligence, {IAAI} 2024, Fourteenth Symposium on Educational Advances
in Artificial Intelligence, {EAAI} 2014, February 20-27, 2024, Vancouver,
Canada},
pages = {23525--23527},
year = {2024},
crossref = {DBLP:conf/aaai/2024},
url = {https://doi.org/10.1609/aaai.v38i21.30457},
doi = {10.1609/AAAI.V38I21.30457},
timestamp = {Tue, 02 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/JobeKLDPS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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