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New paper accepted for the Workshop Interactive Adaptive Learning (IAL), ECML PKDD 2023
The paper titled "Role of Hyperparameters in Deep Active Learning" by Denis Huseljic, Marek Herde, Paul Hahn, and…New journal article published in the journal track of the ECML PKDD 2023
René Heinrich, Christoph Scholz, Stephan Vogt, and Malte Lehna have contributed a new journal article to Machine…New published journal article in Advanced Photonics Research
Sapida Akhundzada, Kristina Dingel, David Bischof, Christian Janzen, Bernhard Sick, and Arno Ehresmann have contributed…New dataset of a parameterized U-bend flow published
Jens Decke, Olaf Wünsch and Bernhard Sick have published a new dataset in the journal Data in Brief. More details about…New conference article for CIIS
A conference paper was accepted at the International Conference on Computational Intelligence and Intelligent Systems…New research paper got accepted at TIME 2023
With the article Time-aware Robustness of Temporal Graph Neural Networks for Link Prediction, Marco Sälzer and Silvia…Podcast with Prof. Dr. Bernhard Sick
Recently, Log16, a student podcast at the University of Kassel, interviewed Prof. Dr. rer. nat. Bernhard Sick. In this,…Another journal article published in Energy and AI
Malte Lehna, Jan Viebahn, Antoine Marot, Sven Tomforde, and Christoph Scholz wrote an article entitled Managing power…New published journal article in Energy and AI
The article Power flow forecasts at transmission grid nodes using Graph Neural Networks, written by Dominik Beinert,…GAIN Workshop: Explainability and Applicability of Graph Neural Networks from the 6th to the 8th of September 2023
Dear everyone! The GAIN group is happy to announce their next workshop about the Explainability and Applicability of…