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simplicial: Simplicial topology in Python

Research output: Non-textual form › Software

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Author(s)

Simon Andrew Dobson (Developer)

School/Research organisations

Details

Original languageEnglish
PublisherGitHub
Media of outputOnline
Publication statusPublished - 19 Sep 2019

    Research areas

  • python, topology, topological data analysis, data analytics

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  1. Sensor-based human activity mining using Dirichlet process mixtures of directional statistical models

    Fang, L., Ye, J. & Dobson, S. A., 5 Oct 2019, Proceedings of the 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA'19). IEEE Computer Society

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  2. Distributed self-monitoring sensor networks via Markov switching Dynamic Linear Models

    Fang, L., Ye, J. & Dobson, S. A., 16 Jun 2019, Proceedings 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2019). IEEE Computer Society, p. 33-42 8780572

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  3. Self-organization and resilience for networked systems: design principles and open research issues

    Dobson, S. A., Hutchison, D., Mauthe, A., Schaefer-Filho, A., Smith, P. & Sterbenz, J., Apr 2019, In : Proceedings of the IEEE. 107, 4, p. 819 - 834

    Research output: Contribution to journal › Article

  4. Discovery and recognition of emerging human activities using a hierarchical mixture of directional statistical models

    Fang, L., Ye, J. & Dobson, S. A., 15 Mar 2019, In : IEEE Transactions on Knowledge and Data Engineering. Early Access

    Research output: Contribution to journal › Article

  5. Making sense of the world: framing models for trustworthy sensor-driven systems

    Calder, M., Dobson, S., Fisher, M. & McCann, J., 15 Nov 2018, In : Computers. 7, 4, 13 p., 62.

    Research output: Contribution to journal › Article

ID: 261266914

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