Dr. Zoi Kaoudi
Postdoctoral Researcher
- Scalable data management
- Machine learning for systems
- Data management techniques for machine learning systems
- Data management
- Machine learning and reasoning for knowledge graphs
Sergey Redyuk, Zoi Kaoudi, Sebastian Schelter, Volker Markl
Assisted design of data science pipelines
Serafeim Papadias, Zoi Kaoudi, Varun Pandey, Jorge-Arnulfo Quiane-Ruiz, Volker Markl
Counting Butterflies in Fully Dynamic Bipartite Graph Streams
Kaustubh Beedkar, Bertty Contreras-Rojas, Haralampos Gavriilidis, Zoi Kaoudi, Volker Markl, Rodrigo Pardo-Meza, Jorge-Arnulfo Quiané-Ruiz
Apache Wayang: A Unified Data Analytics Framework
Alexander Renz-Wieland, Andreas Kieslinger, Robert Gericke, Rainer Gemulla, Zoi Kaoudi, Volker Markl
Good Intentions: Adaptive Parameter Management via Intent Signaling
Henriette Behr, Volker Markl, Zoi Kaoudi
Learn What Really Matters: A Learning-to-Rank Approach for ML-based Query Optimization
A framework to efficiently create training data for optimizers
A demo paper co-authored by Robin van de Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiane-Ruiz, and Volker Markl on “Farming Your ML-based Query Optimizer’s Food” presented at the virtual conference ICDE 2022 has won the best paper award.