On the Performance of Differential Evolution for Hyperparameter Tuning. - Mischa Schmidt; Shahd Safarani; Julia Gastinger; Tobias Jacobs; Sebastien Nicolas; Anett Schülke (IJCNN, 2019)

HAMLET - A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection. - Mischa Schmidt; Julia Gastinger; Sebastien Nicolas; Anett Schülke (IJCNN, 2020)

A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning. - Julia Gastinger; Sébastien Nicolas; Dusica Stepic; Mischa Schmidt; Anett Schülke (IJCNN, 2021)

ProcK: Machine Learning for Knowledge-Intensive Processes. - Tobias Jacobs; Jingyi Yu; Julia Gastinger; Timo Sztyler (ECML/PKDD (2), 2022)

Human-Centric Research for NLP: Towards a Definition and Guiding Questions. - Bhushan Kotnis; Kiril Gashteovski; Julia Gastinger; Giuseppe Serra 002; Francesco Alesiani; Timo Sztyler; Ammar Shaker; Na Gong; Carolin Lawrence; Zhao Xu 001 (CoRR, 2022)

Dynamic Representations of Global Crises: Creation and Analysis of a Temporal Knowledge Graph for Conflicts, Trade and Value Networks. - Julia Gastinger; Nils Steinert; Sabine Gründer-Fahrer; Michael Martin 001 (D2R2, 2023)

Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting. - Julia Gastinger; Timo Sztyler; Lokesh Sharma; Anett Schuelke; Heiner Stuckenschmidt (ECML/PKDD (3), 2023)

History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting. - Julia Gastinger; Christian Meilicke; Federico Errica; Timo Sztyler; Anett Schülke; Heiner Stuckenschmidt (IJCAI, 2024)

Dynamic Representations of Global Crises: A Temporal Knowledge Graph for Conflicts, Trade and Value Networks. - Julia Gastinger; Timo Sztyler; Nils Steinert; Sabine Gründer-Fahrer; Michael Martin 001; Anett Schuelke; Heiner Stuckenschmidt (LoG, 2024)

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs. - Julia Gastinger; Shenyang Huang; Michael Galkin; Erfan Loghmani; Ali Parviz; Farimah Poursafaei; Jacob Danovitch; Emanuele Rossi; Ioannis Koutis; Heiner Stuckenschmidt; Reihaneh Rabbany; Guillaume Rabusseau (NeurIPS, 2024)