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.
Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract) [link]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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