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This survey devises and proposes a new taxonomy covering different state-of-the-art methods, including deep learning-based models upon deep neural networks, deep nonnegative matrix factorization and deep ... The survey also summarizes the popular benchmark data sets, evaluation metrics, and open-source implementations to address experimentation settings. ... Denoising AE-based Community Detection The denoising process, subtracting noises within DNN layers, can effectively enhance models' robustness. ...arXiv:2105.12584v2 fatcat:matipshxnzcdloygrcrwx2sxr4
, namely, sharpness, stability, separability and composability. ... This book presents our case in defense of a constructivist epistemological framework and the use of compatible statistical theory and inference tools. ... and composability. ...arXiv:1006.5471v8 fatcat:v375ybolz5bkbe6ordmjnnulhi
In order to advance our understanding of the consequences of macromolecular crowding for protein translational and rotational diffusion, and to establish possible analogies to the behavior of dense colloidal ... The challenges posed by a non-exponential behavior of the protein Brownian tumbling auto-correlation function arising from significant protein–protein interactions were accessed via spin relaxation measurements ... Acknowledgements We are grateful to Alexey Krushelnitsky for very helpful discussions, and thank Sebastian Kirschke for preparatory work during his Bachelor thesis, implementing and testing the pulse sequence ...doi:10.25673/1924 fatcat:y4uv7em7jjdploqjkghh5exq3y