Duncan Blythe
Title
Cited by
Cited by
Year
Contextual string embeddings for sequence labeling
A Akbik, D Blythe, R Vollgraf
Proceedings of the 27th international conference on computational …, 2018
7842018
FLAIR: An easy-to-use framework for state-of-the-art NLP
A Akbik, T Bergmann, D Blythe, K Rasul, S Schweter, R Vollgraf
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
2142019
Feature extraction for change-point detection using stationary subspace analysis
DAJ Blythe, P Von Bunau, FC Meinecke, KR Muller
IEEE Transactions on Neural Networks and Learning Systems 23 (4), 631-643, 2012
512012
Robust spatial filtering with beta divergence
W Samek, D Blythe, KR Müller, M Kawanabe
Proceedings of the 26th International Conference on Neural Information …, 2013
432013
The effect of linear mixing in the EEG on Hurst exponent estimation
DAJ Blythe, S Haufe, KR Müller, VV Nikulin
NeuroImage 99, 377-387, 2014
332014
Multiscale temporal neural dynamics predict performance in a complex sensorimotor task
W Samek, DAJ Blythe, G Curio, KR Müller, B Blankertz, VV Nikulin
Neuroimage 141, 291-303, 2016
242016
Power‐law dynamics in neuronal and behavioral data introduce spurious correlations
N Schaworonkow, DAJ Blythe, J Kegeles, G Curio, VV Nikulin
Human brain mapping 36 (8), 2901-2914, 2015
182015
Algebraic Geometric Comparison of Probability Distributions.
FJ Király, P Von Bünau, FC Meinecke, DAJ Blythe, KR Müller, K Fukumizu
Journal of Machine Learning Research 13 (3), 2012
122012
Prediction and quantification of individual athletic performance of runners
DAJ Blythe, FJ Király
PloS one 11 (6), e0157257, 2016
112016
Regression for sets of polynomial equations
F Kiraly, P Von Bünau, J Muller, D Blythe, F Meinecke, KR Muller
Artificial Intelligence and Statistics, 628-637, 2012
112012
A rigorous and efficient asymptotic test for power-law cross-correlation
DAJ Blythe
arXiv preprint arXiv:1309.4073, 2013
92013
Robust statistical detection of power-law cross-correlation
DAJ Blythe, VV Nikulin, KR Müller
Scientific reports 6 (1), 1-10, 2016
82016
Causal Learning via Manifold Regularization.
S Hill, CJ Oates, DA Blythe, S Mukherjee
JMLR, 2019
52019
Long-range temporal correlations in neural narrowband time-series arise due to critical dynamics
DAJ Blythe, VV Nikulin
PloS one 12 (5), e0175628, 2017
52017
Prediction and quantification of individual athletic performance
DAJ Blythe, FJ Király
arXiv preprint arXiv:1505.01147, 2015
52015
Meta-universality classes at criticality
DAJ Blythe, VV Nikulin
arXiv preprint arXiv:1502.07885, 2015
42015
Algebraic-Combinatorial Methods for Low-Rank Matrix Completion with Application to Athletic Performance Prediction
DAJ Blythe, L Theran, F Kiraly
arXiv preprint arXiv:1406.2864, 2014
22014
Explorative data analysis for changes in neural activity
DAJ Blythe, FC Meinecke, P Von Bünau, KR Müller
Journal of neural engineering 10 (2), 026018, 2013
22013
Regression for sets of polynomial equations
FJ Király, P von Bünau, JS Müller, DAJ Blythe, FC Meinecke, KR Müller
stat 1050, 25, 2013
12013
Algebraic geometric comparison of probability distributions
FJ Király, P von Bünau, FC Meinecke, DAJ Blythe, KR Müller
arXiv preprint arXiv:1108.1483, 2011
12011
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Articles 1–20