Claudio Hartmann

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 28

Top Venues

Dresden University of Technology, Germany (PHD)

Education History

Dresden University of Technology, Germany

PHD

Publications

Anja Reusch, Julius Gonsior, Claudio Hartmann, Wolfgang Lehner
Investigating the Usage of Formulae in Mathematical Answer Retrieval. ECIR (1) (2024)
Lucas Woltmann, Jerome Thiessat, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
FASTgres: Making Learned Query Optimizer Hinting Effective. Proc. VLDB Endow. 16 (11) (2023)
Rico Bergmann, Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
PostBOUND: PostgreSQL with Upper Bound SPJ Query Optimization. BTW (2023)
Lucas Woltmann, Katja Ferger, Claudio Hartmann, Wolfgang Lehner
JumpXClass: Explainable AI for Jump Classification in Trampoline Sports. BTW (2023)
Jerome Thiessat, Lucas Woltmann, Claudio Hartmann, Dirk Habich
Optimizing Query Processing in PostgreSQL Through Learned Optimizer Hints. BTW (2023)
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)
Lucas Woltmann, Patrick Damme, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
Learned Selection Strategy for Lightweight Integer Compression Algorithms. EDBT (2023)
Lucas Woltmann, Jonathan Drechsel, Claudio Hartmann, Wolfgang Lehner
Ingredient-based Forecast of Sold Dish Portions in Campus Canteen Kitchens. ICDE Workshops (2022)
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) (2022)
Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections. Proc. VLDB Endow. 15 (11) (2022)
Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
Aggregate-based Training Phase for ML-based Cardinality Estimation. Datenbank-Spektrum 22 (1) (2022)
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) (2021)
Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
Simplicity Done Right for Join Ordering. CIDR (2021)
Lucas Woltmann, Dominik Olwig, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
PostCENN: PostgreSQL with Machine Learning Models for Cardinality Estimation. Proc. VLDB Endow. 14 (12) (2021)
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 (2021)
Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
Aggregate-based Training Phase for ML-based Cardinality Estimation. BTW (2021)
Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
Machine Learning-based Cardinality Estimation in DBMS on Pre-Aggregated Data. CoRR (2020)
Claudio Hartmann, Lars Kegel, Wolfgang Lehner
Feature-aware forecasting of large-scale time series data sets. it Inf. Technol. 62 (3-4) (2020)
Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
Best of both worlds: combining traditional and machine learning models for cardinality estimation. aiDM@SIGMOD (2020)
Martin Hahmann, Claudio Hartmann, Lars Kegel, Wolfgang Lehner
Large-Scale Time Series Analytics - Novel Approaches for Generation and Prediction. Datenbank-Spektrum 19 (1) (2019)
Lucas Woltmann, Claudio Hartmann, Maik Thiele, Dirk Habich, Wolfgang Lehner
Cardinality estimation with local deep learning models. aiDM@SIGMOD (2019)
Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner
Assessing the Impact of Driving Bans with Data Analysis. BTW (Workshops) (2019)
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) (2019)
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) (2019)
Claudio Hartmann, Martin Hahmann, Dirk Habich, Wolfgang Lehner
CSAR: The Cross-Sectional Autoregression Model. DSAA (2017)
Robert Ulbricht, Claudio Hartmann, Martin Hahmann, Hilko Donker, Wolfgang Lehner
Web-based Benchmarks for Forecasting Systems: The ECAST Platform. SIGMOD Conference (2016)
Martin Hahmann, Claudio Hartmann, Lars Kegel, Dirk Habich, Wolfgang Lehner
Big by blocks: modular analytics. it Inf. Technol. 58 (4) (2016)
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) (2016)
Claudio Hartmann, Martin Hahmann, Wolfgang Lehner, Frank Rosenthal
Exploiting big data in time series forecasting: A cross-sectional approach. DSAA (2015)
Ulrike Fischer, Christopher Schildt, Claudio Hartmann, Wolfgang Lehner
Forecasting the data cube: A model configuration advisor for multi-dimensional data sets. ICDE (2013)

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Publication Activity (10 Years)

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Claudio Hartmann