Two research projects from the CAIDAS-Chair of Machine Learning for Complex Networks will be featured at NeurIPS 2024. Led by Prof. Dr. Ingo Scholtes and his team, the studies explore new applications of graph neural networks for predicting temporal centralities and improving community detection. These findings will be presented in December in Vancouver, Canada.
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Ort: | Hubland Süd, Geb. Z6 (Zentrales Hörsaal- u. Seminargebäude), Hörsaal 00.002 |
Veranstalter: | Center for Artificial Intelligence and Data Science (CAIDAS) |
Vortragende: | Prof. Dr. Alexander Binder |
The workshop brings together researchers and practitioners to explore how AI can assist software engineering, focusing on AI support for developers, defect prediction, and AI in software project management. It aims to foster interdisciplinary collaboration and strengthen ties between Polish and German universities, with input from academia and industry.
MehrKI is one of the major European AI conferences and traditionally brings together academic and industrial researchers from all areas of AI, providing an ideal place for exchanging news and research results on theory and applications. The conference is jointly organized with the LWDA 2024 conference. The organization is carried out by members of CAIDAS und Institute for Computer Science.
MehrCAIDAS members Damien Garreau and his research assistant Magamed Taimeskhanov, together with Ronan Sicre, have been awarded a Best Paper Award at the ECML PKDD 2024 conference for their research on flaws in AI interpretability methods.
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