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Lucas Woltmann
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2020 – today
- 2023
- [b1]Lucas Woltmann:
Local Learning Strategies for Data Management Components. Dresden University of Technology, Germany, 2023 - [j5]Lucas Woltmann
, Jerome Thiessat
, Claudio Hartmann
, Dirk Habich, Wolfgang Lehner
:
FASTgres: Making Learned Query Optimizer Hinting Effective. Proc. VLDB Endow. 16(11): 3310-3322 (2023) - [c11]Lucas Woltmann
, Katja Ferger, Claudio Hartmann
, Wolfgang Lehner
:
JumpXClass: Explainable AI for Jump Classification in Trampoline Sports. BTW 2023: 651-656 - [c10]Jerome Thiessat
, Lucas Woltmann
, Claudio Hartmann
, Dirk Habich:
Optimizing Query Processing in PostgreSQL Through Learned Optimizer Hints. BTW 2023: 1075-1081 - [c9]Magnus Müller, Lucas Woltmann
, Wolfgang Lehner
:
Enhanced Featurization of Queries with Mixed Combinations of Predicates for ML-based Cardinality Estimation. EDBT 2023: 273-284 - [c8]Lucas Woltmann
, Patrick Damme, Claudio Hartmann
, Dirk Habich, Wolfgang Lehner
:
Learned Selection Strategy for Lightweight Integer Compression Algorithms. EDBT 2023: 552-564 - 2022
- [j4]Lucas Woltmann
, Peter Benjamin Volk, Michael Dinzinger, Lukas Gräf, Sebastian Strasser, Johannes Schildgen, Claudio Hartmann, Wolfgang Lehner
:
Data Science Meets High-Tech Manufacturing - The BTW 2021 Data Science Challenge. Datenbank-Spektrum 22(1): 5-10 (2022) - [j3]Lucas Woltmann
, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
:
Aggregate-based Training Phase for ML-based Cardinality Estimation. Datenbank-Spektrum 22(1): 45-57 (2022) - [c7]Lucas Woltmann
, Jonathan Drechsel, Claudio Hartmann
, Wolfgang Lehner
:
Ingredient-based Forecast of Sold Dish Portions in Campus Canteen Kitchens. ICDE Workshops 2022: 111-116 - 2021
- [j2]Lucas Woltmann
, Dominik Olwig, Claudio Hartmann
, Dirk Habich, Wolfgang Lehner
:
PostCENN: PostgreSQL with Machine Learning Models for Cardinality Estimation. Proc. VLDB Endow. 14(12): 2715-2718 (2021) - [c6]Lucas Woltmann
, Claudio Hartmann
, Dirk Habich, Wolfgang Lehner
:
Aggregate-based Training Phase for ML-based Cardinality Estimation. BTW 2021: 135-154 - 2020
- [c5]Lucas Woltmann
, Claudio Hartmann
, Dirk Habich, Wolfgang Lehner
:
Best of both worlds: combining traditional and machine learning models for cardinality estimation. aiDM@SIGMOD 2020: 4:1-4:8 - [i1]Lucas Woltmann
, Claudio Hartmann
, Dirk Habich, Wolfgang Lehner
:
Machine Learning-based Cardinality Estimation in DBMS on Pre-Aggregated Data. CoRR abs/2005.09367 (2020)
2010 – 2019
- 2019
- [j1]Holger J. Meyer
, Hannes Grunert, Tim Waizenegger, Lucas Woltmann
, Claudio Hartmann
, Wolfgang Lehner
, Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan
, Ariane Ziehn, Tilmann Rabl, Volker Markl, Christian Schmitz, Dhiren Devinder Serai, Tatiane Escobar Gava:
Particulate Matter Matters - The Data Science Challenge @ BTW 2019. Datenbank-Spektrum 19(3): 165-182 (2019) - [c4]Lucas Woltmann
, Claudio Hartmann
, Wolfgang Lehner
:
Assessing the Impact of Driving Bans with Data Analysis. BTW (Workshops) 2019: 287-296 - [c3]Lucas Woltmann
, Claudio Hartmann
, Maik Thiele, Dirk Habich, Wolfgang Lehner
:
Cardinality estimation with local deep learning models. aiDM@SIGMOD 2019: 5:1-5:8 - 2018
- [c2]Lucas Woltmann
, Maik Thiele
, Wolfgang Lehner
:
Modeling Customers and Products with Word Embeddings from Receipt Data. IDEAS 2018: 246-252 - 2017
- [c1]Lucas Woltmann
, Rune Dalmo
, Raymond Kristiansen
:
Multi-source data collection for state-of-the-art data analysis from ground-proximate images in sea ice classification. ISIE 2017: 1626-1630
Coauthor Index
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