Cardinality estimation with local deep learning models L Woltmann, C Hartmann, M Thiele, D Habich, W Lehner Proceedings of the Second International Workshop on Exploiting Artificial …, 2019 | 117 | 2019 |
FASTgres: Making Learned Query Optimizer Hinting Effective L Woltmann, J Thiessat, C Hartmann, D Habich, W Lehner Proceedings of the VLDB Endowment 16 (11), 3310-3322, 2023 | 18 | 2023 |
PostCENN: postgreSQL with machine learning models for cardinality estimation L Woltmann, D Olwig, C Hartmann, D Habich, W Lehner Proceedings of the VLDB Endowment 14 (12), 2715-2718, 2021 | 14 | 2021 |
Enhanced Featurization of Queries with Mixed Combinations of Predicates for ML-based Cardinality Estimation M Müller, L Woltmann, W Lehner EDBT 2023, 2023 | 9 | 2023 |
Sensor-based jump detection and classification with Machine Learning in trampoline gymnastics L Woltmann, C Hartmann, W Lehner, P Rausch, K Ferger German Journal of Exercise and Sport Research 53 (2), 187-195, 2023 | 8 | 2023 |
Machine Learning-based Cardinality Estimation in DBMS on Pre-Aggregated Data L Woltmann, C Hartmann, D Habich, W Lehner arXiv preprint arXiv:2005.09367, 2020 | 7 | 2020 |
Aggregate-based training phase for ML-based cardinality estimation L Woltmann, C Hartmann, D Habich, W Lehner Datenbank-Spektrum, 1-13, 2022 | 6 | 2022 |
Particulate Matter Matters—The Data Science Challenge@ BTW 2019 HJ Meyer, H Grunert, T Waizenegger, L Woltmann, C Hartmann, ... Datenbank-Spektrum 19 (3), 165-182, 2019 | 6 | 2019 |
Best of both worlds: combining traditional and machine learning models for cardinality estimation L Woltmann, C Hartmann, D Habich, W Lehner Proceedings of the Third International Workshop on Exploiting Artificial …, 2020 | 5 | 2020 |
Ingredient-based Forecast of Sold Dish Portions in Campus Canteen Kitchens L Woltmann, J Drechsel, C Hartmann, W Lehner 2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW …, 2022 | 3 | 2022 |
Modeling Customers and Products with Word Embeddings from Receipt Data L Woltmann, M Thiele, W Lehner Proceedings of the 22nd International Database Engineering & Applications …, 2018 | 3 | 2018 |
Learned Selection Strategy for Lightweight Integer Compression Algorithms L Woltmann, P Damme, C Hartmann, D Habich, W Lehner EDBT 2023, 2023 | 2 | 2023 |
Data Science Meets High-Tech Manufacturing–The BTW 2021 Data Science Challenge L Woltmann, P Volk, M Dinzinger, L Gräf, S Strasser, J Schildgen, ... Datenbank-Spektrum 22 (1), 5-10, 2022 | 2 | 2022 |
Assessing the Impact of Driving Bans with Data Analysis L Woltmann, C Hartmann, W Lehner BTW 2019–Workshopband, 2019 | 2 | 2019 |
Exercise assessment in trampoline sport by automated jump classification L Woltmann, K Ferger, C Hartmann, W Lehner Tagungsband zum 14. Symposium der Sektion Sportinformatik und …, 2022 | 1* | 2022 |
Multi-source data collection for state-of-the-art data analysis from ground-proximate images in sea ice classification L Woltmann, R Dalmo, R Kristiansen 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE …, 2017 | 1 | 2017 |
evalPM: a framework for evaluating machine learning models for particulate matter prediction L Woltmann, J Deepe, C Hartmann, W Lehner Environmental Monitoring and Assessment 195 (12), 1491, 2023 | | 2023 |
Local Learning Strategies for Data Management Components L Woltmann | | 2023 |
Optimizing Query Processing in PostgreSQL Through Learned Optimizer Hints J Thiessat, L Woltmann, C Hartmann, D Habich BTW 2023, 2023 | | 2023 |
JumpXClass: Explainable AI for Jump Classification in Trampoline Sports L Woltmann, K Ferger, C Hartmann, W Lehner BTW 2023, 2023 | | 2023 |