Dr Daniel Kudenko, research group leader at L3S and managing director of DAISEC, has been appointed a member of the European Laboratory for Learning and […]
The paper "MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs" is one of the two best L3S publications in the category "Time Series Modelling".
The HashGNN algorithm presented by L3S researchers Prof Wolfgang Nejdl and Wei Wu at the Web Conference 2021 has been implemented in the Neo4j Graph […]
The AutoML Summer School will take place in the first week of September; for the first time in Hanover! Keynote speakers include Prof Kristian Kersting […]
The paper "IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers" is one of the two best L3S publications in the category "Time Series Modelling".
The paper "FairTrade: Achieving Pareto-Optimal Trade-offs Between Balanced Accuracy and Fairness in Federated Learning" is the best L3S publication of the quarter in the category "Fairness"
ORKG Ask – a scientific search and exploration system – provides answers from 80 million scientific publications. The service helps researchers find the scientific papers […]
The Lower Saxony science portal “Wissen hoch N” now features an article on research at L3S about the effects of social media on the perception […]
The best L3S publication of the quarter in the NLP/LLM category addresses the question whether large language models "understand" high school maths.
The Lower Saxony Research Center for Artificial Intelligence and Causal Methods in Medicine (CAIMed) has been officially launched. More than 100 participants from science, politics, […]
