Arash Hajisafi

11 papers A* 1B 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Privacy and Fairness in Machine Learning: A Survey.
IEEE Trans. Artif. Intell.
Sina Shaham, Arash Hajisafi, Minh K. Quan, Dinh C. Nguyen, Bhaskar Krishnamachari, Charith Peris, Gabriel Ghinita, Cyrus Shahabi, Pubudu N. Pathirana
2025 J jnl
Small Graph Is All You Need: DeepStateGNN for Scalable Traffic Forecasting.
CoRR
Yannick Wölker, Arash Hajisafi, Cyrus Shahabi, Matthias Renz
2025 B conf
WaveGNN: Integrating Graph Neural Networks and Transformers for Decay-Aware Classification of Irregular Clinical Time-Series.
IEEE Big Data
Arash Hajisafi, Maria Despoina Siampou, Bita Azarijoo, Zhen Xiong, Cyrus Shahabi
2024 — conf
Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data.
PKDD (4)
Arash Hajisafi, Haowen Lin, Yao-Yi Chiang, Cyrus Shahabi
2024 J jnl
Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data.
CoRR
Arash Hajisafi, Haowen Lin, Yao-Yi Chiang, Cyrus Shahabi
2024 J jnl
WaveGNN: Modeling Irregular Multivariate Time Series for Accurate Predictions.
CoRR
Arash Hajisafi, Maria Despoina Siampou, Bita Azarijoo, Cyrus Shahabi
2024 A* conf
Wearables for Health (W4H) Toolkit for Acquisition, Storage, Analysis and Visualization of Data from Various Wearable Devices.
ICDE
Arash Hajisafi, Maria Despoina Siampou, Jize Bi, Luciano Nocera, Cyrus Shahabi
2023 — conf
An Evaluation of Time-Series Anomaly Detection in Computer Networks.
ICOIN
Hong Nguyen, Arash Hajisafi, Alireza Abdoli, Seon Ho Kim, Cyrus Shahabi
2023 J jnl
Holistic Survey of Privacy and Fairness in Machine Learning.
CoRR
Sina Shaham, Arash Hajisafi, Minh K. Quan, Dinh C. Nguyen, Bhaskar Krishnamachari, Charith Peris, Gabriel Ghinita, Cyrus Shahabi, Pubudu N. Pathirana
2023 — conf
Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting.
SIGSPATIAL/GIS
Arash Hajisafi, Haowen Lin, Sina Shaham, Haoji Hu, Maria Despoina Siampou, Yao-Yi Chiang, Cyrus Shahabi
2023 J jnl
Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting.
CoRR
Arash Hajisafi, Haowen Lin, Sina Shaham, Haoji Hu, Maria Despoina Siampou, Yao-Yi Chiang, Cyrus Shahabi