Claudio Hartmann

37 papers A* 1A 1B 4C 2Misc 4Journal 16Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Reproducible Approach to Virtual Metrology. ICDM (Workshops) Jimmy Pöhlmann, Anna Lopatkina, Paul Jungmann, Claudio Hartmann, Wolfgang Lehner
2025	B	`conf`	Abstention is all you need. DSAA Erik Schönwälder, Christian Falkenberg, Claudio Hartmann, Wolfgang Lehner
2025	J	`jnl`	An Elephant Under the Microscope: Analyzing the Interaction of Optimizer Components in PostgreSQL. Proc. ACM Manag. Data Rico Bergmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
2025	C	`conf`	Domain Adaption of a Heterogeneous Textual Dataset for Semantic Similarity Clustering. DATA Erik Nikulski, Julius Gonsior, Claudio Hartmann, Wolfgang Lehner
2025	J	`jnl`	Survey of Active Learning Hyperparameters: Insights from a Large-Scale Experimental Grid. CoRR Julius Gonsior, Tim Rieß, Anja Reusch, Claudio Hartmann, Maik Thiele, Wolfgang Lehner
2024	—	`conf`	Investigating the Usage of Formulae in Mathematical Answer Retrieval. ECIR (1) Anja Reusch, Julius Gonsior, Claudio Hartmann, Wolfgang Lehner
2024	—	`conf`	TAFT: A Transformer-Based Approach for Format Transformation. DS (LB) Erik Schönwälder, Julius Gonsior, Anja Reusch, Claudio Hartmann, Wolfgang Lehner
2023	C	`conf`	Comparing and Improving Active Learning Uncertainty Measures for Transformer Models. ADBIS Julius Gonsior, Christian Falkenberg, Silvio Magino, Anja Reusch, Claudio Hartmann, Maik Thiele, Wolfgang Lehner
2023	J	`jnl`	FASTgres: Making Learned Query Optimizer Hinting Effective. Proc. VLDB Endow. Lucas Woltmann, Jerome Thiessat, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
2023	Misc	`conf`	JumpXClass: Explainable AI for Jump Classification in Trampoline Sports. BTW Lucas Woltmann, Katja Ferger, Claudio Hartmann, Wolfgang Lehner
2023	B	`conf`	Learned Selection Strategy for Lightweight Integer Compression Algorithms. EDBT Lucas Woltmann, Patrick Damme, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
2023	Misc	`conf`	Optimizing Query Processing in PostgreSQL Through Learned Optimizer Hints. BTW Jerome Thiessat, Lucas Woltmann, Claudio Hartmann, Dirk Habich
2023	Misc	`conf`	PostBOUND: PostgreSQL with Upper Bound SPJ Query Optimization. BTW Rico Bergmann, Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
2022	J	`jnl`	Aggregate-based Training Phase for ML-based Cardinality Estimation. Datenbank-Spektrum Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
2022	J	`jnl`	Data Science Meets High-Tech Manufacturing - The BTW 2021 Data Science Challenge. Datenbank-Spektrum Lucas Woltmann, Peter Benjamin Volk, Michael Dinzinger, Lukas Gräf, Sebastian Strasser, Johannes Schildgen, Claudio Hartmann, Wolfgang Lehner
2022	—	`conf`	Ingredient-based Forecast of Sold Dish Portions in Campus Canteen Kitchens. ICDE Workshops Lucas Woltmann, Jonathan Drechsel, Claudio Hartmann, Wolfgang Lehner
2022	J	`jnl`	Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections. Proc. VLDB Endow. Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
2021	J	`jnl`	Accurate and Efficient Time Series Matching by Season- and Trend-aware Symbolic Approximation - Extended Version Including Additional Evaluation and Proofs. CoRR Lars Kegel, Claudio Hartmann, Maik Thiele, Wolfgang Lehner
2021	Misc	`conf`	Aggregate-based Training Phase for ML-based Cardinality Estimation. BTW Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
2021	J	`jnl`	PostCENN: PostgreSQL with Machine Learning Models for Cardinality Estimation. Proc. VLDB Endow. Lucas Woltmann, Dominik Olwig, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
2021	J	`jnl`	Season- and Trend-aware Symbolic Approximation for Accurate and Efficient Time Series Matching. Datenbank-Spektrum Lars Kegel, Claudio Hartmann, Maik Thiele, Wolfgang Lehner
2021	A	`conf`	Simplicity Done Right for Join Ordering. CIDR Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
2020	—	`conf`	Best of both worlds: combining traditional and machine learning models for cardinality estimation. aiDM@SIGMOD Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
2020	J	`jnl`	Feature-aware forecasting of large-scale time series data sets. it Inf. Technol. Claudio Hartmann, Lars Kegel, Wolfgang Lehner
2020	J	`jnl`	Machine Learning-based Cardinality Estimation in DBMS on Pre-Aggregated Data. CoRR Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
2019	—	`conf`	Assessing the Impact of Driving Bans with Data Analysis. BTW (Workshops) Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner
2019	J	`jnl`	CSAR: the cross-sectional autoregression model for short and long-range forecasting. Int. J. Data Sci. Anal. Claudio Hartmann, Franziska Ressel, Martin Hahmann, Dirk Habich, Wolfgang Lehner
2019	—	`conf`	Cardinality estimation with local deep learning models. aiDM@SIGMOD Lucas Woltmann, Claudio Hartmann, Maik Thiele, Dirk Habich, Wolfgang Lehner
2019	J	`jnl`	Large-Scale Time Series Analytics - Novel Approaches for Generation and Prediction. Datenbank-Spektrum Martin Hahmann, Claudio Hartmann, Lars Kegel, Wolfgang Lehner
2019	J	`jnl`	Particulate Matter Matters - The Data Science Challenge @ BTW 2019. Datenbank-Spektrum 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
2018	—	`—`	Forecasting large-scale time series data. Claudio Hartmann
2017	B	`conf`	CSAR: The Cross-Sectional Autoregression Model. DSAA Claudio Hartmann, Martin Hahmann, Dirk Habich, Wolfgang Lehner
2016	J	`jnl`	Big by blocks: modular analytics. it Inf. Technol. Martin Hahmann, Claudio Hartmann, Lars Kegel, Dirk Habich, Wolfgang Lehner
2016	J	`jnl`	Challenges for Context-Driven Time Series Forecasting. ACM J. Data Inf. Qual. Robert Ulbricht, Hilko Donker, Claudio Hartmann, Martin Hahmann, Wolfgang Lehner
2016	—	`conf`	Web-based Benchmarks for Forecasting Systems: The ECAST Platform. SIGMOD Conference Robert Ulbricht, Claudio Hartmann, Martin Hahmann, Hilko Donker, Wolfgang Lehner
2015	B	`conf`	Exploiting big data in time series forecasting: A cross-sectional approach. DSAA Claudio Hartmann, Martin Hahmann, Wolfgang Lehner, Frank Rosenthal
2013	A*	`conf`	Forecasting the data cube: A model configuration advisor for multi-dimensional data sets. ICDE Ulrike Fischer, Christopher Schildt, Claudio Hartmann, Wolfgang Lehner