Angjela Davitkova
Email:
angjela.davitkova@cs.rptu.de
Phone:
+49 631 205 2159
Room:
36/320
angjela.davitkova@cs.rptu.de
Phone:
+49 631 205 2159
Room:
36/320
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- Automated Training of Learned Database Components with Generative AI. Angjela Davitkova, and Sebastian Michel. Workshop on Novel Optimizations for Visionary AI Systems (NOVAS). 2025.
- 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.
- LMKG: Learned Models for Cardinality Estimation in Knowledge Graphs. Angjela Davitkova, Damjan Gjurovski, and Sebastian Michel. EDBT. 2022.
- Compressing (Multidimensional) Learned Bloom Filters. Angjela Davitkova, Damjan Gjurovski, and Sebastian Michel. DBAI@NeurIPS. 2021.
- The ML-Index: A Multidimensional, Learned Index for Point, Range, and Nearest-Neighbor Queries. Angjela Davitkova, Evica Milchevski, and Sebastian Michel. EDBT. 2020.