Elisabetta Ghisu
Elisabetta Ghisu
PhD student, ETH Zurich
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Cited by
Cited by
Wasserstein weisfeiler-lehman graph kernels
M Togninalli, E Ghisu, F Llinares-López, B Rieck, K Borgwardt
Advances in neural information processing systems 32, 2019
Graph kernels: State-of-the-art and future challenges
K Borgwardt, E Ghisu, F Llinares-López, L O’Bray, B Rieck
Foundations and Trends® in Machine Learning 13 (5-6), 531-712, 2020
graphkernels: R and Python packages for graph comparison
M Sugiyama, ME Ghisu, F Llinares-López, K Borgwardt
Bioinformatics 34 (3), 530-532, 2018
Aberrant working memory processing in major depression: evidence from multivoxel pattern classification
M Gärtner, ME Ghisu, M Scheidegger, L Bönke, Y Fan, A Stippl, ...
Neuropsychopharmacology 43 (9), 1972-1979, 2018
A wasserstein subsequence kernel for time series
C Bock, M Togninalli, E Ghisu, T Gumbsch, B Rieck, K Borgwardt
2019 IEEE International Conference on Data Mining (ICDM), 964-969, 2019
Using routine MRI data of depressed patients to predict individual responses to electroconvulsive therapy
M Gärtner, E Ghisu, AL Herrera-Melendez, M Koslowski, S Aust, P Asbach, ...
Experimental neurology 335, 113505, 2021
Towards MRI data analysis via learning on graphs
E Ghisu
ETH Zurich, 2020
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