Dr.-Ing. Damjan Gjurovski
Email:
damjan.gjurovski@cs.rptu.de
Room:
36/334
damjan.gjurovski@cs.rptu.de
Room:
36/334
Postal address:
RPTU Kaiserslautern-Landau
Department of Computer Science
AG DBIS
P.O. Box 3049
67653 Kaiserslautern, Germany
Department of Computer Science
AG DBIS
P.O. Box 3049
67653 Kaiserslautern, Germany
Publications
See also My DBLP Entry- Grid-AR: A Grid--based Booster for Learned Cardinality Estimation and Range Joins. Damjan Gjurovski, Angjela Davitkova, and Sebastian Michel. Eighth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). 2025.
- Learning over Sets for Databases. Angjela Davitkova, Damjan Gjurovski, and Sebastian Michel. EDBT. 2024.
- To UDFs and Beyond: Demonstration of a Fully Decomposed Data Processor for General Data Wrangling Tasks. Nico Schäfer, Damjan Gjurovski, Angjela Davitkova, and Sebastian Michel. Proc. VLDB Endow.. 2023.
- Tuple Bubbles: Learned Tuple Representation for Tunable Approximate Query Processing. Damjan Gjurovski and Sebastian Michel. Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), co-located with ACM SIGMOD. 2023.
- LMKG: Learned Models for Cardinality Estimation in Knowledge Graphs. Angjela Davitkova, Damjan Gjurovski, and Sebastian Michel. EDBT. 2022.
- Summarizing Edge-Device Data via Core Items. Damjan Gjurovski, Jan Heidemann, and Sebastian Michel. ADBIS. 2022.
- Compressing (Multidimensional) Learned Bloom Filters. Angjela Davitkova, Damjan Gjurovski, and Sebastian Michel. DBAI@NeurIPS. 2021.
- Natural Joins for Schema-free Data. Damjan Gjurovski, and Sebastian Michel. IEEE BigData. 2021.
- Scaling Out Schema-free Stream Joins. Damjan Gjurovski, and Sebastian Michel. ICDE. 2020.