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Julia Gastinger
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2020 – today
- 2024
- [c7]Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schülke, Heiner Stuckenschmidt:
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting. IJCAI 2024: 4016-4024 - [i7]Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schuelke, Heiner Stuckenschmidt:
History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting. CoRR abs/2404.16726 (2024) - [i6]Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau:
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs. CoRR abs/2406.09639 (2024) - 2023
- [c6]Julia Gastinger, Nils Steinert, Sabine Gründer-Fahrer, Michael Martin:
Dynamic Representations of Global Crises: Creation and Analysis of a Temporal Knowledge Graph for Conflicts, Trade and Value Networks. D2R2 2023 - [c5]Julia Gastinger
, Timo Sztyler
Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting. ECML/PKDD (3) 2023: 533-549 - 2022
- [c4]Tobias Jacobs
ProcK: Machine Learning for Knowledge-Intensive Processes. ECML/PKDD (2) 2022: 107-121 - [i5]Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu:
Human-Centric Research for NLP: Towards a Definition and Guiding Questions. CoRR abs/2207.04447 (2022) - 2021
- [c3]Julia Gastinger
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning. IJCNN 2021: 1-8 - [i4]Julia Gastinger, Sébastien Nicolas, Dusica Stepic, Mischa Schmidt, Anett Schülke:
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning. CoRR abs/2104.11475 (2021) - [i3]Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler:
ProcK: Machine Learning for Knowledge-Intensive Processes. CoRR abs/2109.04881 (2021) - 2020
- [c2]Mischa Schmidt, Julia Gastinger
HAMLET - A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection. IJCNN 2020: 1-8 - [i2]Mischa Schmidt, Julia Gastinger, Sebastien Nicolas, Anett Schülke:
HAMLET - A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection. CoRR abs/2001.11261 (2020)
2010 – 2019
- 2019
- [c1]Mischa Schmidt, Shahd Safarani, Julia Gastinger
On the Performance of Differential Evolution for Hyperparameter Tuning. IJCNN 2019: 1-8 - [i1]Mischa Schmidt, Shahd Safarani, Julia Gastinger, Tobias Jacobs, Sebastien Nicolas, Anett Schülke:
On the Performance of Differential Evolution for Hyperparameter Tuning. CoRR abs/1904.06960 (2019)
Coauthor Index
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