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Atalanti A. Mastakouri
Atalanti A. Mastakouri
Max Planck Institute for Intelligent Systems, Empirical Inference Department
Verified email at tuebingen.mpg.de - Homepage
Title
Cited by
Cited by
Year
Necessary and sufficient conditions for causal feature selection in time series with latent common causes
AA Mastakouri, B Schölkopf, D Janzing
International Conference on Machine Learning, 7502-7511, 2021
152021
Selecting causal brain features with a single conditional independence test per feature
A Mastakouri, B Schölkopf, D Janzing
Advances in Neural Information Processing Systems 32, 2019
82019
Personalized brain-computer interface models for motor rehabilitation
AA Mastakouri, S Weichwald, O Özdenizci, T Meyer, B Schölkopf, ...
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
82017
Causal analysis of Covid-19 spread in Germany
AA Mastakouri, B Schölkopf
Advances in Neural Information Processing Systems 33, pages: 3153-3163, 2020
72020
Beta power may meditate the effect of gamma-tacs on motor performance
AA Mastakouri, B Schölkopf, M Grosse-Wentrup
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
72019
Stratification of behavioral response to transcranial current stimulation by resting-state electrophysiology
AA Mastakouri
bioRxiv, 2020
12020
Causal Feature Selection in Neuroscience
AA Mastakouri
Universität Tübingen, 2020
2020
Quantifying intrinsic causal contributions via structure preserving interventions
D Janzing, P Blöbaum, L Minorics, P Faller, A Mastakouri
arXiv preprint arXiv:2007.00714, 2020
2020
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Articles 1–8