Reverse Engineering of Domain Knowledge for Improving Configuration Management. - Vasil L. Tenev; Martin Becker 002; Angjela Davitkova; Damjan Gjurovski (Softwaretechnik-Trends, 2019)

Scaling Out Schema-free Stream Joins. - Damjan Gjurovski; Sebastian Michel 001 (ICDE, 2020)

Natural Joins for Schema-free Data. - Damjan Gjurovski; Sebastian Michel 001 (IEEE BigData, 2021)

Summarizing Edge-Device Data via Core Items. - Damjan Gjurovski; Jan Heidemann; Sebastian Michel 001 (ADBIS, 2022)

LMKG: Learned Models for Cardinality Estimation in Knowledge Graphs. - Angjela Davitkova; Damjan Gjurovski; Sebastian Michel 001 (EDBT, 2022)

Compressing (Multidimensional) Learned Bloom Filters. - Angjela Davitkova; Damjan Gjurovski; Sebastian Michel 001 (CoRR, 2022)

Approximate Query Processing via Tuple Bubbles. - Damjan Gjurovski; Sebastian Michel 001 (CoRR, 2022)

Tuple Bubbles: Learned Tuple Representations for Tunable Approximate Query Processing. - Damjan Gjurovski; Sebastian Michel 001 (aiDM@SIGMOD, 2023)

To UDFs and Beyond: Demonstration of a Fully Decomposed Data Processor for General Data Wrangling Tasks. - Nico Schäfer; Damjan Gjurovski; Angjela Davitkova; Sebastian Michel 001 (Proc. VLDB Endow., 2023)

Learning over Sets for Databases. - Angjela Davitkova; Damjan Gjurovski; Sebastian Michel 001 (EDBT, 2024)

Grid-AR: A Grid-based Booster for Learned Cardinality Estimation and Range Joins. - Damjan Gjurovski; Angjela Davitkova; Sebastian Michel 001 (CoRR, 2024)