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Volume 2, 2020

Volume 1, 2019

Foundations of Data Science

Foundations of Data Science: Special Issue
Topological methods in data analysis, machine learning and artificial intelligence


special issue on Topological methods in data analysis, machine learning and artificial intelligence will be featured in Foundations of Data Science. Its aim will be to collect a set of papers that expose the state-of-the-art ideas and techniques of topology in the study of large and complex data sets, as well as its use in machine learning and in the analysis and design of deep learning algorithms. This issue will present papers showing the range and possibilities of these methods. Submission is by invitation. If you have some interest in submitting to the issue, please contact Gunnar Carlsson (carlsson@stanford.edu)

Guest Editors:
Gunnar Carlsson, Kathryn Hess, Facundo Memoli, Raul Rabadan, and Primosz Skraba

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