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ORCIDClaudio Hartmann
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2020 – today
- 2024
[c16]Anja Reusch
, Julius Gonsior, Claudio Hartmann, Wolfgang Lehner:
Investigating the Usage of Formulae in Mathematical Answer Retrieval. ECIR (1) 2024: 247-261- 2023
- [j12]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) - [c15]Julius Gonsior, Christian Falkenberg, Silvio Magino, Anja Reusch, Claudio Hartmann, Maik Thiele, Wolfgang Lehner:
Comparing and Improving Active Learning Uncertainty Measures for Transformer Models. ADBIS 2023: 119-132 - [c14]Rico Bergmann, Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
PostBOUND: PostgreSQL with Upper Bound SPJ Query Optimization. BTW 2023: 283-304 - [c13]Lucas Woltmann, Katja Ferger, Claudio Hartmann, Wolfgang Lehner:
JumpXClass: Explainable AI for Jump Classification in Trampoline Sports. BTW 2023: 651-656 - [c12]Jerome Thiessat, Lucas Woltmann, Claudio Hartmann, Dirk Habich:
Optimizing Query Processing in PostgreSQL Through Learned Optimizer Hints. BTW 2023: 1075-1081 - [c11]Lucas Woltmann, Patrick Damme, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
Learned Selection Strategy for Lightweight Integer Compression Algorithms. EDBT 2023: 552-564 - 2022
- [j11]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) - [j10]Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
Aggregate-based Training Phase for ML-based Cardinality Estimation. Datenbank-Spektrum 22(1): 45-57 (2022) - [j9]Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections. Proc. VLDB Endow. 15(11): 2706-2718 (2022) - [c10]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
- [j8]Lars Kegel, Claudio Hartmann, Maik Thiele, Wolfgang Lehner:
Season- and Trend-aware Symbolic Approximation for Accurate and Efficient Time Series Matching. Datenbank-Spektrum 21(3): 225-236 (2021) - [j7]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) - [c9]Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
Aggregate-based Training Phase for ML-based Cardinality Estimation. BTW 2021: 135-154 - [c8]Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
Simplicity Done Right for Join Ordering. CIDR 2021 - [i2]Lars Kegel, Claudio Hartmann, Maik Thiele, Wolfgang Lehner:
Accurate and Efficient Time Series Matching by Season- and Trend-aware Symbolic Approximation - Extended Version Including Additional Evaluation and Proofs. CoRR abs/2105.14867 (2021) - 2020
- [j6]Claudio Hartmann, Lars Kegel, Wolfgang Lehner:
Feature-aware forecasting of large-scale time series data sets. it Inf. Technol. 62(3-4): 157-168 (2020) - [c7]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
- [j5]Martin Hahmann, Claudio Hartmann, Lars Kegel, Wolfgang Lehner:
Large-Scale Time Series Analytics - Novel Approaches for Generation and Prediction. Datenbank-Spektrum 19(1): 17-29 (2019) - [j4]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) - [j3]Claudio Hartmann, Franziska Ressel, Martin Hahmann, Dirk Habich, Wolfgang Lehner:
CSAR: the cross-sectional autoregression model for short and long-range forecasting. Int. J. Data Sci. Anal. 8(2): 165-181 (2019) - [c6]Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner:
Assessing the Impact of Driving Bans with Data Analysis. BTW (Workshops) 2019: 287-296 - [c5]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
- [b1]Claudio Hartmann:
Forecasting large-scale time series data. Dresden University of Technology, Germany, 2018, pp. 1-113 - 2017
- [c4]Claudio Hartmann, Martin Hahmann, Dirk Habich, Wolfgang Lehner:
CSAR: The Cross-Sectional Autoregression Model. DSAA 2017: 232-241 - 2016
- [j2]Martin Hahmann, Claudio Hartmann, Lars Kegel, Dirk Habich, Wolfgang Lehner:
Big by blocks: modular analytics. it Inf. Technol. 58(4): 176-185 (2016) - [j1]Robert Ulbricht, Hilko Donker, Claudio Hartmann, Martin Hahmann, Wolfgang Lehner:
Challenges for Context-Driven Time Series Forecasting. ACM J. Data Inf. Qual. 7(1-2): 5:1-5:4 (2016) - [c3]Robert Ulbricht, Claudio Hartmann, Martin Hahmann, Hilko Donker, Wolfgang Lehner:
Web-based Benchmarks for Forecasting Systems: The ECAST Platform. SIGMOD Conference 2016: 2169-2172 - 2015
- [c2]Claudio Hartmann, Martin Hahmann, Wolfgang Lehner, Frank Rosenthal:
Exploiting big data in time series forecasting: A cross-sectional approach. DSAA 2015: 1-10 - 2013
- [c1]Ulrike Fischer, Christopher Schildt, Claudio Hartmann, Wolfgang Lehner:
Forecasting the data cube: A model configuration advisor for multi-dimensional data sets. ICDE 2013: 853-864
Coauthor Index
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