FG Maschinelles Lernen

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PreviewIssue DateTitleAuthor(s)Editor(s)
fnins-13-01321.pdf.jpg10-Dec-2019Analyzing Neuroimaging Data Through Recurrent Deep Learning ModelsThomas, Armin W.; Heekeren, Hauke R.; Müller, Klaus-Robert; Samek, Wojciech-
6820482.pdf.jpg8-Mar-2017Evaluation of a Compact Hybrid Brain-Computer Interface SystemShin, Jaeyoung; Müller, Klaus-Robert; Schmitz, Christoph H.; Kim, Do-Won; Hwang, Han-Jeong-
fpsyg-03-00166.pdf.jpg7-Jun-2012Brain Oscillations and Functional Connectivity during Overt Language ProductionEwald, Arne; Aristei, Sabrina; Nolte, Guido; Rahman, Rasha Abdel-
fnhum-12-00103-g0001.tif.jpg19-Mar-2018Powerful Statistical Inference for Nested Data Using Sufficient Summary StatisticsDowding, Irene; Haufe, Stefan-
fnhum-10-00425.pdf.jpg31-Aug-2016The Beat to Read: A Cross-Lingual Link between Rhythmic Regularity Perception and Reading SkillBekius, Annike; Cope, Thomas E.; Grube, Manon-
fnhum-09-00617.pdf.jpg12-Nov-2015Toward a Wireless Open Source Instrument: Functional Near-infrared Spectroscopy in Mobile Neuroergonomics and BCI Applicationsvon Lühmann, Alexander; Herff, Christian; Heger, Dominic; Schultz, Tanja-
fnhum-08-01070.pdf.jpg21-Jan-2015Distributed functions of detection and discrimination of vibrotactile stimuli in the hierarchical human somatosensory systemKim, Junsuk; Müller, Klaus-Robert; Chung, Yoon Gi; Chung, Soon-Cheol; Park, Jang-Yeon; Bülthoff, Heinrich H.; Kim, Sung-Phil-
samek_etal_2016.pdf.jpg9-Jul-2016Multiscale temporal neural dynamics predict performance in a complex sensorimotor taskSamek, Wojciech; Blythe, Duncan A. J.; Curio, Gabriel; Klaus-Robert, Müller; Blankertz, Benjamin; Nikulin, Vadim V.-
sensors-18-01827.pdf.jpg5-Jun-2018Improvement of Information Transfer Rates Using a Hybrid EEG-NIRS Brain-Computer Interface with a Short Trial Length: Offline and Pseudo-Online AnalysesShin, Jaeyoung; Kim, Do-Won; Müller, Klaus-Robert; Hwang, Han-Jeong-
alber_maximilian.pdf.jpg2019Efficient learning machinesAlber, Maximilian-
sensors-18-02856.pdf.jpg29-Aug-2018On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer InterfaceChoi, Soo-In; Han, Chang-Hee; Choi, Ga-Young; Shin, Jaeyoung; Song, Kwang Soup; Im, Chang-Hwan; Hwang, Han-Jeong-
chmiela_stefan.pdf.jpg2019Towards exact molecular dynamics simulations with invariant machine-learned modelsChmiela, Stefan-
schwenk_guido.pdf.jpg2019Features and machine learning systems for structured and sequential dataSchwenk, Guido-
goernitz_nico.pdf.jpg2019One-class classification in the presence of point, collective, and contextual anomaliesGörnitz, Nico-
lapuschkin_sebastian.pdf.jpg2019Opening the machine learning black box with Layer-wise Relevance PropagationLapuschkin, Sebastian-
10.1515.PIKO.2004.228.pdf.jpg2004Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector MachinesLaskov, Pavel; Schäfer, Christin; Kotenko, Igor; Müller, Klaus-Robert-
vonluehmann_alexander.pdf.jpg2018Multimodal instrumentation and methods for neurotechnology out of the labLühmann, Alexander von-
brockherde_felix.pdf.jpg2018Functional regression of densities with application to the simulation of molecular dynamicsBrockherde, Felix-
shelton_jacquelyn-ann.pdf.jpg2018Large-scale approximate EM-style learning and inference in generative graphical models for sparse codingShelton, Jacquelyn Ann-
schuett_kristof.pdf.jpg2018Learning representations of atomistic systems with deep neural networksSchütt, Kristof-
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