Publications by Sonia-Florina Horchidan
Peer reviewed
Conference papers
[1]
S.-F. Horchidan et al., "Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems," in Advances in Database Technology - EDBT, 2024, pp. 676-689.
[2]
S. Horchidan and P. Carbone, "ORB : Empowering Graph Queries through Inference," in ESWC-JP 2023 : Joint Proceedings of the ESWC 2023 Workshops and Tutorials, co-located with 20th European Semantic Web Conference, ESWC 2023, 2023.
[3]
S. Horchidan, "Query Optimization for Inference-Based Graph Databases," in VLDB-PhD 2023 - Proceedings of the VLDB 2023 PhD Workshop, co-located with the 49th International Conference on Very Large Data Bases, VLDB 2023, 2023, pp. 33-36.
[4]
S.-F. Horchidan et al., "Evaluating model serving strategies over streaming data," in Proceedings of the 6th Workshop on Data Management for End-To-End Machine Learning, DEEM 2022 - In conjunction with the 2022 ACM SIGMOD/PODS Conference, 2022.
[5]
M. Zwolak et al., "GCNSplit : Bounding the State of Streaming Graph Partitioning," in Proceedings of the 5th International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2022 - In conjunction with the 2022 ACM SIGMOD/PODS Conference, 2022.
[6]
S. Imtiaz et al., "Privacy Preserving Time-Series Forecasting of User Health Data Streams," in 2020 IEEE International Conference on Big Data (Big Data), 2020, pp. 3428-3437.
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