Automating large-scale data quality verification von Schelter, Sebastian, Lange, Dustin, Schmidt, Philipp, Celikel, Meltem, Biessmann, Felix, Grafberger, Andreas

Volltext

Data distribution debugging in machine learning pipelines von Grafberger, Stefan, Groth, Paul, Stoyanovich, Julia, Schelter, Sebastian

Volltext

Assisted design of data science pipelines von Redyuk, Sergey, Kaoudi, Zoi, Schelter, Sebastian, Markl, Volker

Volltext

The Stratosphere platform for big data analytics von Alexandrov, Alexander, Bergmann, Rico, Ewen, Stephan, Freytag, Johann-Christoph, Hueske, Fabian, Heise, Arvid, Kao, Odej, Leich, Marcus, Leser, Ulf, Markl, Volker, Naumann, Felix, Peters, Mathias, Rheinländer, Astrid, Sax, Matthias J., Schelter, Sebastian, Höger, Mareike, Tzoumas, Kostas, Warneke, Daniel

Volltext

Automated Provenance-Based Screening of ML Data Preparation Pipelines von Schelter, Sebastian, Guha, Shubha, Grafberger, Stefan

Volltext

Snarcase - Regain Control over Your Predictions with Low-Latency Machine Unlearning von Schelter, Sebastian, Grafberger, Stefan, de Rijke, Maarten

Volltext

Automated Data Cleaning can Hurt Fairness in Machine Learning-Based Decision Making von Guha, Shubha, Khan, Falaah Arif, Stoyanovich, Julia, Schelter, Sebastian

Volltext

Hierarchical forecasting at scale von Sprangers, Olivier, Wadman, Wander, Schelter, Sebastian, de Rijke, Maarten

Volltext

mlwhatif: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses over and over? von Grafberger, Stefan, Guha, Shubha, Groth, Paul, Schelter, Sebastian

Volltext

Parameter-efficient deep probabilistic forecasting von Sprangers, Olivier, Schelter, Sebastian, de Rijke, Maarten

Volltext

An intermediate representation for optimizing machine learning pipelines von Kunft, Andreas, Katsifodimos, Asterios, Schelter, Sebastian, Breß, Sebastian, Rabl, Tilmann, Markl, Volker

Volltext

DORIAN in action: assisted design of data science pipelines von Redyuk, Sergey, Kaoudi, Zoi, Schelter, Sebastian, Markl, Volker

Volltext

Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines von Grafberger, Stefan, Groth, Paul, Schelter, Sebastian

Volltext

Probabilistic demand forecasting at scale von Böse, Joos-Hendrik, Flunkert, Valentin, Gasthaus, Jan, Januschowski, Tim, Lange, Dustin, Salinas, David, Schelter, Sebastian, Seeger, Matthias, Wang, Yuyang

Volltext

Blockjoin: efficient matrix partitioning through joins von Kunft, Andreas, Katsifodimos, Asterios, Schelter, Sebastian, Rabl, Tilmann, Markl, Volker

Volltext

Technical Perspective: Query Optimization for Faster Deep CNN Explanations von Schelter, Sebastian

Volltext

SchemaPile: A Large Collection of Relational Database Schemas von Döhmen, Till, Geacu, Radu, Hulsebos, Madelon, Schelter, Sebastian

Volltext

Domain Generalization in Time Series Forecasting von Deng, Songgaojun, Sprangers, Olivier, Li, Ming, Schelter, Sebastian, de Rijke, Maarten

Volltext

On the Ubiquity of Web Tracking: Insights from a Billion-Page Web Crawl von Schelter, Sebastian, Kunegis, Jérôme

Volltext

A Flexible Forecasting Stack von Januschowski, Tim, Wang, Yuyang, Gasthaus, Jan, Rangapuram, Syama, Türkmen, Caner, Zschiegner, Jasper, Stella, Lorenzo, Bohlke-Schneider, Michael, Maddix, Danielle, Benidis, Konstantinos, Alexandrov, Alexander, Faloutsos, Christos, Schelter, Sebastian

Volltext