Johannes Kruse

According to our database, Johannes Kruse authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems.

Alain Starke, Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Nava Tintarev

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

EB-NeRD a large-scale dataset for news recommendation.

Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen

Proceedings of the Recommender Systems Challenge 2024, 2024

RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations.

Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems.

Johannes Kruse, Lien Michiels, Alain Starke, Nava Tintarev, Sanne Vrijenhoek

Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, 2024

2023

Machine learning of power grid frequency dynamics and control: prediction, explanation and stochastic modelling

Johannes Kruse

PhD thesis, 2023

Regulatory Changes in Power Systems Explored with Explainable Artificial Intelligence.

Sebastian Pütz, Johannes Kruse, Dirk Witthaut, Veit Hagenmeyer, Benjamin Schäfer

CoRR, 2023

NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems.

Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Alain Starke, Nava Tintarev, Jordi Viader Guerrero

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Creating the next generation of news experience on ekstrabladet.dk with recommender systems.

Johannes Kruse, Kasper Lindskow, Michael Riis Andersen, Jes Frellsen

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Regulatory Changes in German and Austrian Power Systems Explored with Explainable Artificial Intelligence.

Sebastian Pütz, Johannes Kruse, Dirk Witthaut, Veit Hagenmeyer, Benjamin Schäfer

Proceedings of the Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

2022

Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI.

Sebastian Pütz, Benjamin Schäfer, Dirk Witthaut, Johannes Kruse

Energy Inform., 2022

Physics-inspired machine learning for power grid frequency modelling.

Johannes Kruse, Eike Cramer, Benjamin Schäfer, Dirk Witthaut

CoRR, 2022

Predicting Dynamic Stability from Static Features in Power Grid Models using Machine Learning.

Maurizio Titz, Franz Kaiser, Johannes Kruse, Dirk Witthaut

CoRR, 2022

2021

Revealing drivers and risks for power grid frequency stability with explainable AI.

Johannes Kruse, Benjamin Schäfer, Dirk Witthaut

Patterns, 2021

Secondary control activation analysed and predicted with explainable AI.

Johannes Kruse, Benjamin Schäfer, Dirk Witthaut

CoRR, 2021

Exploring deterministic frequency deviations with explainable AI.

Johannes Kruse, Benjamin Schäfer, Dirk Witthaut

Proceedings of the IEEE International Conference on Communications, 2021

2020

Predictability of Power Grid Frequency.

Johannes Kruse, Benjamin Schäfer, Dirk Witthaut

IEEE Access, 2020