Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Rieck, Bastian Alexander"'
Publikováno v:
Frontiers in Medicine, 8
Background: Sepsis is among the leading causes of death in intensive care units (ICUs) worldwide and its recognition, particularly in the early stages of the disease, remains a medical challenge. The advent of an affluence of available digital health
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______150::056a45c328a9133093764ddf7478177e
https://hdl.handle.net/20.500.11850/490463
https://hdl.handle.net/20.500.11850/490463
Publikováno v:
Frontiers in Artificial Intelligence, 4
The last decade saw an enormous boost in the field of computational topology: methods and concepts from algebraic and differential topology, formerly confined to the realm of pure mathematics, have demonstrated their utility in numerous areas such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c82abe70df3e2b14a242d7ea07b102d
Publikováno v:
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD '21)
The two predominant approaches to graph comparison in recent years are based on (i) enumerating matching subgraphs or (ii) comparing neighborhoods of nodes. In this work, we complement these two perspectives with a third way of representing graphs: u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::355c95d84e2e96898d42e10a967fbb50
Autor:
Born, Jannis, Wiedemann, Nina, Cossio, Manuel, Buhre, Charlotte, Brändle, Gabriel, Leidermann, Konstantin, Goulet, Julie, Aujayeb, Avinash, Moor, Michael, Rieck, Bastian Alexander, Borgwardt, Karsten
Publikováno v:
Applied Sciences, 11 (2)
Care during the COVID-19 pandemic hinges upon the existence of fast, safe, and highly sensitive diagnostic tools. Considering significant practical advantages of lung ultrasound (LUS) over other imaging techniques, but difficulties for doctors in pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______150::a365e095515d795ae32c176955abd8b2
https://hdl.handle.net/20.500.11850/468152
https://hdl.handle.net/20.500.11850/468152
Autor:
Rieck, Bastian Alexander, Yates, Tristan, Bock, Christian, Borgwardt, Karsten, Wolf, Guy, Turk-Browne, Nicholas, Krishnaswamy, Smita
Publikováno v:
Advances in Neural Information Processing Systems (NeurIPS 2020) 33
Advances in Neural Information Processing Systems 33
Advances in Neural Information Processing Systems 33
Functional magnetic resonance imaging (fMRI) is a crucial technology for gaining insights into cognitive processes in humans. Data amassed from fMRI measurements result in volumetric data sets that vary over time. However, analysing such data present
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34ab024b6ff4d11fc080064ddec7b737
Publikováno v:
Proceedings of the 37th International Conference on Machine Learning, PMLR
Proceedings of Machine Learning Research, 119
Proceedings of the 37th International Conference on Machine Learning
Proceedings of Machine Learning Research, 119
Proceedings of the 37th International Conference on Machine Learning
We propose a novel approach for preserving topological structures of the input space in latent representations of autoencoders. Using persistent homology, a technique from topological data analysis, we calculate topological signatures of both the inp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3c4fdff7bb5ca1c57e3c6925838478a
Publikováno v:
Proceedings of Machine Learning Research, 97
Proceedings of the 36th International Conference on Machine Learning (ICML 2019)
Proceedings of the 36th International Conference on Machine Learning (ICML 2019)
The Weisfeiler-Lehman graph kernel exhibits competitive performance in many graph classification tasks. However, its subtree features are not able to capture connected components and cycles, topological features known for characterising graphs. To ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2a2faaa33923840a40394ffceb9d912
Autor:
Rieck, Bastian Alexander
Technological advances of recent years have changed the way research is done. When describing complex phenomena, it is now possible to measure and model a myriad of different aspects pertaining to them. This increasing number of variables, however, p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::936f0b4567f3a3cb5fde4aa931be3b3b
http://archiv.ub.uni-heidelberg.de/volltextserver/22914/
http://archiv.ub.uni-heidelberg.de/volltextserver/22914/
Autor:
Born, Jannis, Wiedemann, Nina, Cossio, Manuel, Buhre, Charlotte, Brändle, Gabriel, Leidermann, Konstantin, Goulet, Julie, Aujayeb, Avinash, Moor, Michael, Rieck, Bastian Alexander, Borgwardt, Karsten
Care during the COVID-19 pandemic hinges upon the existence of fast, safe, and highly sensitive diagnostic tools. Considering significant practical advantages of lung ultrasound (LUS) over other imaging techniques, but difficulties for doctors in pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79cb518348417654fe857a142017dc96
Autor:
Jutzeler, Catherine, Bourguignon, Lucie, Weis, Caroline V., Tong, Bob, Wong, Cyrus, Rieck, Bastian Alexander, Pargger, Hans, Tschudin-Sutter, Sarah, Egli, Adrian, Borgwardt, Karsten, Walter, Matthias
Introduction Since December 2019, a novel coronavirus (SARS-CoV-2) has triggered a world-wide pandemic with an enormous medical and societal-economic toll. Thus, our aim was to gather all available information regarding comorbidities, clinical signs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::845fe9d7794030e0ec7af9551cdc2dda