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Papers matching “nonlinear relationship” 9

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Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
2020 Nature Communications article Computer Science Machine Learning in Healthcare Open access

Marc-André Schulz, B.T. Thomas Yeo, Joshua T Vogelstein, Janaina Mourao-Miranada, Jakob Nikolas Kather, Konrad Paul Kording, +2 more

312

citations
Compressed $$\varSigma $$-Protocol Theory and Practical Application to Plug & Play Secure Algorithmics
2020 Lecture notes in computer science conference-paper Computer Science Cryptography and Data Security Open access

Thomas Attema, Ronald Cramer

73

citations
Signal processing on simplicial complexes
2021 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra

3

citations
Deep Learning of Causal Structures in High Dimensions
2022 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

0

citations
Deep learning of causal structures in high dimensions under data limitations
2023 Nature Machine Intelligence article Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

65

citations
Signal processing on higher-order networks: Livin’ on the edge... and beyond
2021 Signal Processing article Computer Science Advanced Graph Neural Networks Open access

Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra

149

citations
Graph Neural Networks for the Prediction of Molecular Structure–Property Relationships
2023 Royal Society of Chemistry eBooks book-chapter Computer Science Computational Drug Discovery Methods

Jan G. Rittig, Qinghe Gao, Manuel Dahmen, Alexander Mitsos, Artur M. Schweidtmann

29

citations
Neural network input feature selection using structured l2 − norm penalization
2022 Applied Intelligence article Computer Science Neural Networks and Applications Open access

Nathaniel Egwu, Thomas Mrziglod, Andreas Schuppert

7

citations
Graph neural networks for the prediction of molecular structure-property relationships
2022 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Jan G. Rittig, Qinghe Gao, Manuel Dahmen, Alexander Mitsos, Artur M. Schweidtmann

2

citations

9 results