25 citations · 41 across the 7 of their papers we have counts for
8 papers
Enhancing ECG Analysis of Implantable Cardiac Monitor Data: An Efficient Pipeline for Multi-Label Classification
Amnon Bleich, Antje Linnemann, Benjamin Jaidi +2
Implantable Cardiac Monitor (ICM) devices are demonstrating as of today, the fastest-growing market for implantable cardiac devices. As such, they are becoming increasingly common…
FELRec: Efficient Handling of Item Cold-Start With Dynamic Representation Learning in Recommender Systems
Kuba Weimann, Tim O. F. Conrad
Recommender systems suffer from the cold-start problem whenever a new user joins the platform or a new item is added to the catalog. To address item cold-start, we propose to repla…
Understanding microbiome dynamics via interpretable graph representation learning
Kateryna Melnyk, Kuba Weimann, Tim O. F. Conrad
Large-scale perturbations in the microbiome constitution are strongly correlated, whether as a driver or a consequence, with the health and functioning of human physiology. However…
GraphKKE: Graph Kernel Koopman Embedding for Human Microbiome Analysis
Kateryna Melnyk, Stefan Klus, Grégoire Montavon +1
More and more diseases have been found to be strongly correlated with disturbances in the microbiome constitution, e.g., obesity, diabetes, or some cancer types. Thanks to modern h…
A convergent discretisation method for transition path theory for diffusion processes
Nada Cvetković, Tim Conrad, Han Cheng Lie
Transition path theory (TPT) for diffusion processes is a framework for analysing the transitions of multiscale ergodic diffusion processes between disjoint metastable subsets of s…
Learning chemical reaction networks from trajectory data
Wei Zhang, Stefan Klus, Tim Conrad +1
We develop a data-driven method to learn chemical reaction networks from trajectory data. Modeling the reaction system as a continuous-time Markov chain and assuming the system is…