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ORCIDAmirhossein Ghaffari
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- 2026
[j2]Amirhossein Ghaffari
, Huong Mai Nguyen, Lauri Lovén, Ekaterina Gilman:
STRAM: Spatio-temporal road-aware mapping for graph neural network prediction. Neurocomputing 696: 134161 (2026)- [c7]Danila Goncharenko, Amirhossein Ghaffari, Ekaterina Gilman:
Open-Data Traffic Noise Prediction across Cities and Traffic Stations. ICDEW 2026: 231-239 - [i2]Amirhossein Ghaffari, Saeid Sheikhi, Ekaterina Gilman:
Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting. CoRR abs/2605.30486 (2026) - 2025
- [j1]Amirhossein Ghaffari, Susanna Pirttikangas, Ekaterina Gilman:
Understanding Well-Being in Urban Context: A Survey. IEEE Access 13: 11136-11158 (2025) - [c6]Hasaan Ahmed, Huong Mai Nguyen, Amirhossein Ghaffari, Ekaterina Gilman, Lauri Lovén:
Past to Plan: LLM-Powered Personalized Travel via Mobility Patterns. IEEE Big Data 2025: 7652-7661 - [c5]Amirhossein Ghaffari, Huong Mai Nguyen, Lauri Lovén, Ekaterina Gilman:
STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions. CIKM 2025: 6377-6381 - [c4]Saeid Sheikhi, Aref Amiri, Amirhossein Ghaffari:
Balancing Latency and Energy: A Hybrid Geometric Method for Leader Drone Positioning in IoT-Enabled Smart Cities. ICNSC 2025: 364-369 - [c3]Saeid Sheikhi, Amirhossein Ghaffari, Aref Amiri, Lauri Lovén:
Federated Variational Autoencoders for Unsupervised Anomaly Detection in Distributed 5G Networks. SoftCOM 2025: 1-6 - [i1]Amirhossein Ghaffari, Huong Mai Nguyen, Lauri Lovén, Ekaterina Gilman:
STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions. CoRR abs/2509.10528 (2025) - 2024
- [c2]Amirhossein Ghaffari, Huong Mai Nguyen, Alaa Saleh, Lauri Lovén, Ekaterina Gilman:
Traffic Accident Prediction and Warning System: Integration Use Case. KiL@KDD 2024: 108-118 - [c1]Amirhossein Ghaffari:
Urban Well-being: Leveraging Multi source Data for Informed Decision-Making. PerCom Workshops 2024: 358-359
Coauthor Index
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