Maria Despoina Siampou

Orcid: 0009-0006-1646-3618

According to our database1, Maria Despoina Siampou authored at least 15 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations.
CoRR, May, 2026

Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement.
CoRR, January, 2026

2025
TrajRoute: Rethinking Routing with a Simple Trajectory-Based Approach - Forget the Maps and Traffic!
Proceedings of the 26th IEEE International Conference on Mobile Data Management, 2025

Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Toward Foundation Models for Mobility Enriched Geospatially Embedded Objects.
Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

ICAD: A Self-Supervised Autoregressive Approach for Multi-Context Anomaly Detection in Human Mobility Data.
Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

WaveGNN: Integrating Graph Neural Networks and Transformers for Decay-Aware Classification of Irregular Clinical Time-Series.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
Three-dimensional Geospatial Interlinking with JedAI-spatial.
J. Web Semant., 2024

WaveGNN: Modeling Irregular Multivariate Time Series for Accurate Predictions.
CoRR, 2024

Poly2Vec: Polymorphic Encoding of Geospatial Objects for Spatial Reasoning with Deep Neural Networks.
CoRR, 2024

Wearables for Health (W4H) Toolkit for Acquisition, Storage, Analysis and Visualization of Data from Various Wearable Devices.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

An Algorithmic Approach for Detecting Neuromotor Developmental Disabilities in Infants from Wearable Sensor Data.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023
Supervised Scheduling for Geospatial Interlinking.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022
Extending YAGO4 Knowledge Graph with Geospatial Knowledge.
Proceedings of the 5th International Workshop on Geospatial Linked Data, 2022


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