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ORCIDSonia-Florina Horchidan
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- affiliation: KTH Royal Institute of Technology, Stockholm, Sweden
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Conference and Workshop Papers
- 2024
[c6]Sonia Horchidan, Po-Hao Chen, Emmanouil Kritharakis, Paris Carbone, Vasiliki Kalavri
:
Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems. EDBT 2024: 676-689- 2023
- [c5]Sonia Horchidan, Paris Carbone:
ORB: Empowering Graph Queries through Inference. ESWC Workshops 2023 - [c4]Sonia Horchidan:
Query Optimization for Inference-Based Graph Databases. PhD@VLDB 2023: 33-36 - 2022
- [c3]Sonia Horchidan, Emmanouil Kritharakis, Vasiliki Kalavri, Paris Carbone:
Evaluating model serving strategies over streaming data. DEEM@SIGMOD 2022: 4:1-4:5 - [c2]Michal Zwolak, Zainab Abbas, Sonia Horchidan, Paris Carbone, Vasiliki Kalavri:
GCNSplit: bounding the state of streaming graph partitioning. aiDM@SIGMOD 2022: 3:1-3:12 - 2020
- [c1]Sana Imtiaz, Sonia-Florina Horchidan, Zainab Abbas, Muhammad Arsalan, Hassan Nazeer Chaudhry, Vladimir Vlassov:
Privacy Preserving Time-Series Forecasting of User Health Data Streams. IEEE BigData 2020: 3428-3437
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