Claudio Hartmann

According to our database, Claudio Hartmann authored at least 30 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Investigating the Usage of Formulae in Mathematical Answer Retrieval.

Anja Reusch, Julius Gonsior, Claudio Hartmann, Wolfgang Lehner

Proceedings of the Advances in Information Retrieval, 2024

2023

FASTgres: Making Learned Query Optimizer Hinting Effective.

Lucas Woltmann, Jerome Thiessat, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

Proc. VLDB Endow., 2023

Learned Selection Strategy for Lightweight Integer Compression Algorithms.

Lucas Woltmann, Patrick Damme, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

JumpXClass: Explainable AI for Jump Classification in Trampoline Sports.

Lucas Woltmann, Katja Ferger, Claudio Hartmann, Wolfgang Lehner

Proceedings of the Datenbanksysteme für Business, 2023

Optimizing Query Processing in PostgreSQL Through Learned Optimizer Hints.

Jerome Thiessat, Lucas Woltmann, Claudio Hartmann, Dirk Habich

Proceedings of the Datenbanksysteme für Business, 2023

PostBOUND: PostgreSQL with Upper Bound SPJ Query Optimization.

Rico Bergmann, Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

Proceedings of the Datenbanksysteme für Business, 2023

Comparing and Improving Active Learning Uncertainty Measures for Transformer Models.

Julius Gonsior, Christian Falkenberg, Silvio Magino, Anja Reusch, Claudio Hartmann, Maik Thiele, Wolfgang Lehner

Proceedings of the Advances in Databases and Information Systems, 2023

2022

Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections.

Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

Proc. VLDB Endow., 2022

Data Science Meets High-Tech Manufacturing - The BTW 2021 Data Science Challenge.

Lucas Woltmann, Peter Benjamin Volk, Michael Dinzinger, Lukas Gräf, Sebastian Strasser, Johannes Schildgen, Claudio Hartmann, Wolfgang Lehner

Datenbank-Spektrum, 2022

Aggregate-based Training Phase for ML-based Cardinality Estimation.

Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

Datenbank-Spektrum, 2022

Ingredient-based Forecast of Sold Dish Portions in Campus Canteen Kitchens.

Lucas Woltmann, Jonathan Drechsel, Claudio Hartmann, Wolfgang Lehner

Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022

2021

PostCENN: PostgreSQL with Machine Learning Models for Cardinality Estimation.

Lucas Woltmann, Dominik Olwig, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

Proc. VLDB Endow., 2021

Season- and Trend-aware Symbolic Approximation for Accurate and Efficient Time Series Matching.

Lars Kegel, Claudio Hartmann, Maik Thiele, Wolfgang Lehner

Datenbank-Spektrum, 2021

Accurate and Efficient Time Series Matching by Season- and Trend-aware Symbolic Approximation - Extended Version Including Additional Evaluation and Proofs.

Lars Kegel, Claudio Hartmann, Maik Thiele, Wolfgang Lehner

CoRR, 2021

Simplicity Done Right for Join Ordering.

Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Feature-aware forecasting of large-scale time series data sets.

Claudio Hartmann, Lars Kegel, Wolfgang Lehner

it Inf. Technol., 2020

Machine Learning-based Cardinality Estimation in DBMS on Pre-Aggregated Data.

Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

CoRR, 2020

Best of both worlds: combining traditional and machine learning models for cardinality estimation.

Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2020

2019

CSAR: the cross-sectional autoregression model for short and long-range forecasting.

Claudio Hartmann, Franziska Ressel, Martin Hahmann, Dirk Habich, Wolfgang Lehner

Int. J. Data Sci. Anal., 2019

Particulate Matter Matters - The Data Science Challenge @ BTW 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

Datenbank-Spektrum, 2019

Large-Scale Time Series Analytics - Novel Approaches for Generation and Prediction.

Martin Hahmann, Claudio Hartmann, Lars Kegel, Wolfgang Lehner

Datenbank-Spektrum, 2019

Cardinality estimation with local deep learning models.

Lucas Woltmann, Claudio Hartmann, Maik Thiele, Dirk Habich, Wolfgang Lehner

Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2019

Assessing the Impact of Driving Bans with Data Analysis.

Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner

Proceedings of the Datenbanksysteme für Business, 2019

2018

Forecasting large-scale time series data.

Claudio Hartmann

PhD thesis, 2018

2017

CSAR: The Cross-Sectional Autoregression Model.

Claudio Hartmann, Martin Hahmann, Dirk Habich, Wolfgang Lehner

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016

Challenges for Context-Driven Time Series Forecasting.

Robert Ulbricht, Hilko Donker, Claudio Hartmann, Martin Hahmann, Wolfgang Lehner

ACM J. Data Inf. Qual., 2016

Big by blocks: modular analytics.

Martin Hahmann, Claudio Hartmann, Lars Kegel, Dirk Habich, Wolfgang Lehner

it Inf. Technol., 2016

Web-based Benchmarks for Forecasting Systems: The ECAST Platform.

Robert Ulbricht, Claudio Hartmann, Martin Hahmann, Hilko Donker, Wolfgang Lehner

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

Exploiting big data in time series forecasting: A cross-sectional approach.

Claudio Hartmann, Martin Hahmann, Wolfgang Lehner, Frank Rosenthal

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2013

Forecasting the data cube: A model configuration advisor for multi-dimensional data sets.

Ulrike Fischer, Christopher Schildt, Claudio Hartmann, Wolfgang Lehner

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013