Publications

Arash Hajisafi, Haowen Lin, Yao-Yi Chiang, Cyrus Shahabi (2024). Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data. PAKDD ‘24.

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Arash Hajisafi, Maria Despoina Siampou, Jize Bi, Luciano Nocera, Cyrus Shahabi (2024). Wearables for Health (W4H) Toolkit for Acquisition, Storage, Analysis and Visualization of Data from Various Wearable Devices. ICDE ‘24 - Demo Track.

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Sina Shaham, Arash Hajisafi, Minh K. Quan, Dinh C. Nguyen, Bhaskar Krishnamachari, Charith Peris, Gabriel Ghinita, Cyrus Shahabi, Pubudu N. Pathirana (2023). Holistic Survey of Privacy and Fairness in Machine Learning. arXiv.

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Arash Hajisafi, Haowen Lin, Sina Shaham, Haoji Hu, Maria Despoina Siampou, Yao-Yi Chiang, Cyrus Shahabi (2023). Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting. ACM SIGSPATIAL ‘23.

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Hong Nguyen, Arash Hajisafi, Alireza Abdoli, Seon Ho Kim, Cyrus Shahabi (2023). An Evaluation of Time-Series Anomaly Detection in Computer Networks. 2023 International Conference on Information Networking (ICOIN).

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