Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Klaus-Robert Muller"'
Publikováno v:
Journal of Clinical and Translational Science, Vol 5, Pp 8-8 (2021)
ABSTRACT IMPACT: Brain networks can be explored by delivering brief pulses of electrical current in one area while measuring responses in other areas, and this describes an open-source novel algorithm to carry out this exploration. OBJECTIVES/GOALS:
Externí odkaz:
https://doaj.org/article/266b82670aee46fdb1f5ee9cf3402951
Autor:
Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Muller, Gregoire Montavon
Publikováno v:
IEEE Signal Processing Magazine. 39:40-58
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Recent years have seen vast progress in the development of machine learned force fields (MLFFs) based on ab-initio reference calculations. Despite achieving low test errors, the reliability of MLFFs in molecular dynamics (MD) simulations is
Externí odkaz:
https://doaj.org/article/98532716028b429ba2e1dcb0cf4e4a47
Autor:
Jacob Kauffmann, Malte Esders, Lukas Ruff, Gregoire Montavon, Wojciech Samek, Klaus-Robert Muller
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
A recent trend in machine learning has been to enrich learned models with the ability to explain their own predictions. The emerging field of Explainable AI (XAI) has so far mainly focused on supervised learning, in particular, deep neural network cl
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-14
Domain translation is the task of finding correspondence between two domains. Several deep neural network (DNN) models, e.g., CycleGAN and cross-lingual language models, have shown remarkable successes on this task under the unsupervised setting--the
Publikováno v:
IEEE Signal Processing Magazine. 39:5-7
Autor:
Simon Letzgus, Klaus-Robert Müller
Publikováno v:
Energy and AI, Vol 15, Iss , Pp 100328- (2024)
In recent years, increasingly complex machine learning methods have become state-of-the-art in modelling wind turbine power curves based on operational data. While these methods often exhibit superior performance on test sets, they face criticism due
Externí odkaz:
https://doaj.org/article/fd5d3e78b08d451381959fb7e3a73898
Autor:
Philipp Jurmeister, Stefanie Glöß, Renée Roller, Maximilian Leitheiser, Simone Schmid, Liliana H. Mochmann, Emma Payá Capilla, Rebecca Fritz, Carsten Dittmayer, Corinna Friedrich, Anne Thieme, Philipp Keyl, Armin Jarosch, Simon Schallenberg, Hendrik Bläker, Inga Hoffmann, Claudia Vollbrecht, Annika Lehmann, Michael Hummel, Daniel Heim, Mohamed Haji, Patrick Harter, Benjamin Englert, Stephan Frank, Jürgen Hench, Werner Paulus, Martin Hasselblatt, Wolfgang Hartmann, Hildegard Dohmen, Ursula Keber, Paul Jank, Carsten Denkert, Christine Stadelmann, Felix Bremmer, Annika Richter, Annika Wefers, Julika Ribbat-Idel, Sven Perner, Christian Idel, Lorenzo Chiariotti, Rosa Della Monica, Alfredo Marinelli, Ulrich Schüller, Michael Bockmayr, Jacklyn Liu, Valerie J. Lund, Martin Forster, Matt Lechner, Sara L. Lorenzo-Guerra, Mario Hermsen, Pascal D. Johann, Abbas Agaimy, Philipp Seegerer, Arend Koch, Frank Heppner, Stefan M. Pfister, David T. W. Jones, Martin Sill, Andreas von Deimling, Matija Snuderl, Klaus-Robert Müller, Erna Forgó, Brooke E. Howitt, Philipp Mertins, Frederick Klauschen, David Capper
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Sinonasal tumour diagnosis can be complicated by the heterogeneity of disease and classification systems. Here, the authors use machine learning to classify sinonasal undifferentiated carcinomas into 4 molecular classe with differences in differentia
Externí odkaz:
https://doaj.org/article/6b6e398cca1d45b0ab123d7e7294892a
Autor:
Patrick Wagner, Nils Strodthoff, Patrick Wurzel, Arturo Marban, Sonja Scharf, Hendrik Schäfer, Philipp Seegerer, Andreas Loth, Sylvia Hartmann, Frederick Klauschen, Klaus-Robert Müller, Wojciech Samek, Martin-Leo Hansmann
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Histological sections of the lymphatic system are usually the basis of static (2D) morphological investigations. Here, we performed a dynamic (4D) analysis of human reactive lymphoid tissue using confocal fluorescent laser microscopy in comb
Externí odkaz:
https://doaj.org/article/4de9a7fd1a5b45b0a1ee9bb5a086094b
Autor:
Kai J Miller, Klaus-Robert Müller, Gabriela Ojeda Valencia, Harvey Huang, Nicholas M Gregg, Gregory A Worrell, Dora Hermes
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 5, p e1011105 (2023)
Single-pulse electrical stimulation in the nervous system, often called cortico-cortical evoked potential (CCEP) measurement, is an important technique to understand how brain regions interact with one another. Voltages are measured from implanted el
Externí odkaz:
https://doaj.org/article/bda98805033a4659b25ad36ef7353f39