Eniko Székely
Eniko Székely
Data Science & Machine Learning
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Cited by
Cited by
Climate change now detectable from any single day of weather at global scale
S Sippel, N Meinshausen, EM Fischer, E Székely, R Knutti
Nature climate change 10 (1), 35-41, 2020
Macroecology in the age of Big Data–Where to go from here?
RO Wüest, NE Zimmermann, D Zurell, JM Alexander, SA Fritz, C Hof, ...
Journal of Biogeography 47 (1), 1-12, 2020
Extraction and predictability of coherent intraseasonal signals in infrared brightness temperature data
E Székely, D Giannakis, AJ Majda
Climate Dynamics 46, 1473-1502, 2016
Kernel analog forecasting of tropical intraseasonal oscillations
R Alexander, Z Zhao, E Székely, D Giannakis
Journal of the Atmospheric Sciences 74 (4), 1321-1342, 2017
Robust detection of forced warming in the presence of potentially large climate variability
S Sippel, N Meinshausen, E Székely, E Fischer, AG Pendergrass, ...
Science Advances 7 (43), eabh4429, 2021
Physics-aware nonparametric regression models for Earth data analysis
J Cortés-Andrés, G Camps-Valls, S Sippel, E Székely, D Sejdinovic, ...
Environmental Research Letters 17 (5), 054034, 2022
Initiation and termination of intraseasonal oscillations in nonlinear Laplacian spectral analysis-based indices
E Székely, D Giannakis, AJ Majda
Mathematics of Climate and Weather Forecasting 2 (1), 2016
Data-driven Koopman analysis of tropical climate space-time variability
J Slawinska, E Szekely, D Giannakis
Workshop on Mining Big Data in Climate and Environment, 17th SIAM …, 2017
Interactive representations of multimodal databases
S Marchand-Maillet, D Morrison, E Szekely, E Bruno
Multimodal Signal Processing, 279-307, 2010
High-dimensional multimodal distribution embedding
E Szekely, E Bruno, S Marchand-Maillet
2010 IEEE International Conference on Data Mining Workshops, 434-441, 2010
Machine learning-derived predictions of river flow across Switzerland
E Fluet-Chouinard, W Aeberhard, E Szekely, M Zappa, K Bogner, ...
EGU General Assembly Conference Abstracts, EGU22-8471, 2022
A direct approach to detection and attribution of climate change
E Székely, S Sippel, R Knutti, G Obozinski, N Meinshausen
Proceedings of the 9th International Conference on Climate Informatics (CI …, 2019
Clustered multidimensional scaling for exploration in information retrieval
EM Szekely, É Bruno, S Marchand-Maillet
International Conference on the Theory of Information Retrieval (ICTIR'07 …, 2007
Modeling stratospheric polar vortex variation and identifying vortex extremes using explainable machine learning
Z Wu, T Beucler, E Székely, WT Ball, DIV Domeisen
Environmental Data Science 1, e17, 2022
Emergence of representative signals for sudden stratospheric warmings beyond current predictable lead times
Z Wu, B Jiménez-Esteve, R de Fondeville, E Székely, G Obozinski, ...
Weather and Climate Dynamics 2 (3), 841-865, 2021
An information-geometric approach to feature extraction and moment reconstruction in dynamical systems
S Das, D Giannakis, E Székely
arXiv preprint arXiv:2004.02172, 2020
A graph-based method for detecting rare events: Identifying pathologic cells
E Székely, A Sallaberry, F Zaidi, P Poncelet
IEEE Computer Graphics and Applications 35 (3), 65-73, 2014
Mining networked media collections
S Marchand-Maillet, D Morrison, E Szekely, J Kludas, M Vonwyl, E Bruno
Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User …, 2011
Optimizing strategies for the exploration of social networks and associated data collections
S Marchand-Maillet, E Szekely, E Bruno
2009 10th Workshop on Image Analysis for Multimedia Interactive Services, 29-32, 2009
Distance transformation for effective dimension reduction of high-dimensional data
EM Szekely, E Bruno, S Marchand-Maillet
International Workshop on Topological Learning, Prague, Czech Republic, 2009
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Articles 1–20