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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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