multiSyncPy: A Python package for assessing multivariate coordination dynamics D Hudson, TJ Wiltshire, M Atzmueller Behavior Research Methods 55 (2), 932-962, 2023 | 11 | 2023 |
Social analytics of team interaction using dynamic complexity heat maps and network visualizations TJ Wiltshire, D Hudson, P Lijdsman, S Wever, M Atzmueller arXiv preprint arXiv:2009.04445, 2020 | 10 | 2020 |
Examining team interaction using dynamic complexity and network visualizations TJ Wiltshire, D Hudson, M Belitsky, P Lijdsman, S Wever, M Atzmueller 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS), 1-6, 2021 | 2 | 2021 |
Local Exceptionality Detection in Time Series Using Subgroup Discovery D Hudson, TJ Wiltshire, M Atzmueller arXiv preprint arXiv:2108.11751, 2021 | 1 | 2021 |
Local exceptionality detection in time series using subgroup discovery: an approach exemplified on team interaction data D Hudson, TJ Wiltshire, M Atzmueller Discovery Science: 24th International Conference, DS 2021, Halifax, NS …, 2021 | 1 | 2021 |
Visualization Methods for Exploratory Subgroup Discovery on Time Series Data D Hudson, TJ Wiltshire, M Atzmueller Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence …, 2022 | | 2022 |
Human Interaction and Networking Transitions System (HINTS) for Social User Analytics and Modeling of Offline Team Group Interaction Information N Doan, D Hudson, TJ Wiltshire, P Lijdsman, S Wever, M Atzmueller Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation …, 2021 | | 2021 |
Comparing Methods to Quantify Multivariate Synchrony with multiSyncPy, using Simulated Noise, Kuramoto Oscillators and Human Movement Data D Hudson, T Wiltshire, M Atzmueller Conference on Complex Systems 2021, 2021 | | 2021 |
Knowledge-Augmented Induction of Complex Networks on Supply–Demand–Material Data D Hudson, L Schwenke, S Bloemheuvel, AG Chowdhury, N Schut, ... | | 2021 |