1 code implementation • 25 Apr 2024 • Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schuelke, Heiner Stuckenschmidt
Temporal Knowledge Graph (TKG) Forecasting aims at predicting links in Knowledge Graphs for future timesteps based on a history of Knowledge Graphs.
no code implementations • 10 Jul 2022 • Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu
With Human-Centric Research (HCR) we can steer research activities so that the research outcome is beneficial for human stakeholders, such as end users.
no code implementations • 10 Sep 2021 • Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler
We present a novel methodology to build powerful predictive process models.
no code implementations • 23 Apr 2021 • Julia Gastinger, Sébastien Nicolas, Dušica Stepić, Mischa Schmidt, Anett Schülke
The contribution of this work is twofold: (1) We introduce a collection of ensemble methods for time series forecasting to combine predictions from base models.
no code implementations • 30 Jan 2020 • Mischa Schmidt, Julia Gastinger, Sébastien Nicolas, Anett Schülke
Automated algorithm selection and hyperparameter tuning facilitates the application of machine learning.
1 code implementation • 15 Apr 2019 • Mischa Schmidt, Shahd Safarani, Julia Gastinger, Tobias Jacobs, Sebastien Nicolas, Anett Schülke
This empirical study involves a range of different machine learning algorithms and datasets with various characteristics to compare the performance of Differential Evolution with Sequential Model-based Algorithm Configuration (SMAC), a reference Bayesian Optimization approach.