Sebastian Stober
Cited by
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Deep feature learning for EEG recordings
S Stober, A Sternin, AM Owen, JA Grahn
arXiv preprint arXiv:1511.04306, 2015
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings
S Stober, DJ Cameron, JA Grahn
Advances in neural information processing systems, 1449-1457, 2014
Transfer learning for speech recognition on a budget
J Kunze, L Kirsch, I Kurenkov, A Krug, J Johannsmeier, S Stober
arXiv preprint arXiv:1706.00290, 2017
Designing gaze-supported multimodal interactions for the exploration of large image collections
S Stellmach, S Stober, A Nürnberger, R Dachselt
Proceedings of the 1st conference on novel gaze-controlled applications, 1-8, 2011
Towards Query by Singing/Humming on Audio Databases.
A Duda, A Nürnberger, S Stober
ISMIR, 331-334, 2007
Moving beyond ERP components: a selective review of approaches to integrate EEG and behavior
DA Bridwell, JF Cavanagh, AGE Collins, MD Nunez, R Srinivasan, ...
Frontiers in human neuroscience 12, 106, 2018
Towards Music Imagery Information Retrieval: Introducing the OpenMIIR Dataset of EEG Recordings from Music Perception and Imagination.
S Stober, A Sternin, AM Owen, JA Grahn
ISMIR, 763-769, 2015
Learning discriminative features from electroencephalography recordings by encoding similarity constraints
S Stober
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Adaptive music retrieval–a state of the art
S Stober, A Nürnberger
Multimedia Tools and Applications 65 (3), 467-494, 2013
The hubness phenomenon: Fact or artifact?
T Low, C Borgelt, S Stober, A Nürnberger
Towards Advanced Data Analysis by Combining Soft Computing and Statistics …, 2013
Classifying EEG Recordings of Rhythm Perception.
S Stober, DJ Cameron, JA Grahn
ISMIR, 649-654, 2014
Towards user-adaptive structuring and organization of music collections
S Stober, A Nürnberger
International Workshop on Adaptive Multimedia Retrieval, 53-65, 2008
Deep learning based on event-related EEG differentiates children with ADHD from healthy controls
A Vahid, A Bluschke, V Roessner, S Stober, C Beste
Journal of clinical medicine 8 (7), 1055, 2019
MusicGalaxy–an adaptive user-interface for exploratory music retrieval
S Stober, A Nürnberger
Proc. of 7th Sound and Music Computing conference (SMC’10), 2010
Carsa–an architecture for the development of context adaptive retrieval systems
K Bade, EW De Luca, A Nürnberger, S Stober
International Workshop on Adaptive Multimedia Retrieval, 91-101, 2005
User-aware music retrieval
M Schedl, S Stober, E Gómez, N Orio, C Liem
Dagstuhl Follow-Ups 3, 2012
An experimental comparison of similarity adaptation approaches
S Stober, A Nürnberger
International Workshop on Adaptive Multimedia Retrieval, 96-113, 2011
Automatic prostate and prostate zones segmentation of magnetic resonance images using DenseNet-like U-net
N Aldoj, F Biavati, F Michallek, S Stober, M Dewey
Scientific reports 10 (1), 1-17, 2020
Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control
A Vahid, M Mückschel, S Stober, AK Stock, C Beste
Communications biology 3 (1), 1-11, 2020
A multi-focus zoomable interface for multi-facet exploration of music collections
S Stober, A Nürnberger
7th International Symopsium on Computer Music Modeling and Retrieval, 339-354, 2010
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