Data-driven unsupervised clustering of online learner behaviour. - Robert L. Peach; Sophia N. Yaliraki; David Lefevre; Mauricio Barahona (CoRR, 2019)

Graph centrality is a question of scale. - Alexis Arnaudon; Robert L. Peach; Mauricio Barahona (CoRR, 2019)

Semi-supervised classification on graphs using explicit diffusion dynamics. - Robert L. Peach; Alexis Arnaudon; Mauricio Barahona (CoRR, 2019)

Data-driven modelling and characterisation of task completion sequences in online courses. - Robert L. Peach; Sam F. Greenbury; Iain G. Johnston; Sophia N. Yaliraki; David Lefevre; Mauricio Barahona (CoRR, 2020)

Network memory in the movement of hospital patients carrying antimicrobial-resistant bacteria. - Ashleigh C. Myall; Robert L. Peach; Andrea Y. Weiße; Siddharth Mookerjee; Frances Davies; Alison H. Holmes; Mauricio Barahona (Appl. Netw. Sci., 2021)

Listening to Mental Health Crisis Needs at Scale: Using Natural Language Processing to Understand and Evaluate a Mental Health Crisis Text Messaging Service. - Zhaolu Liu; Robert L. Peach; Emma L. Lawrance; Ariele Noble; Mark A. Ungless; Mauricio Barahona (Frontiers Digit. Health, 2021)

HCGA: Highly comparative graph analysis for network phenotyping. - Robert L. Peach; Alexis Arnaudon; Julia A. Schmidt; Henry A. Palasciano; Nathan R. Bernier; Kim E. Jelfs; Sophia N. Yaliraki; Mauricio Barahona (Patterns, 2021)

Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions. - Zhaolu Liu; Robert L. Peach; Pedro A. M. Mediano; Mauricio Barahona (NeurIPS, 2023)

PyGenStability: Multiscale community detection with generalized Markov Stability. - Alexis Arnaudon; Dominik J. Schindler; Robert L. Peach; Adam Gosztolai; Maxwell Hodges; Michael T. Schaub; Mauricio Barahona (CoRR, 2023)

Interpretable statistical representations of neural population dynamics and geometry. - Adam Gosztolai; Robert L. Peach; Alexis Arnaudon; Mauricio Barahona; Pierre Vandergheynst (CoRR, 2023)

Implicit Gaussian process representation of vector fields over arbitrary latent manifolds. - Robert L. Peach; Matteo Vinao-Carl; Nir Grossman; Michael David; Emma Mallas; David J. Sharp; Paresh A. Malhotra; Pierre Vandergheynst; Adam Gosztolai (ICLR, 2024)

Information-Theoretic Measures on Lattices for High-Order Interactions. - Zhaolu Liu; Mauricio Barahona; Robert L. Peach (CoRR, 2024)

Enhancing security in brain-computer interface applications with deep learning: Electroencephalogram-based user identification. - Ali Seyfizadeh; Robert L. Peach; Philip Tovote; Ioannis U. Isaias; Jens Volkmann; Muthuraman Muthuraman (Expert Syst. Appl., 2024)

Validation and application of computer vision algorithms for video-based tremor analysis. - Maximilian U. Friedrich; Anna-Julia Roenn; Chiara Palmisano; Jane E. Alty; Steffen Paschen; Günther Deuschl; Chi Wang Ip; Jens Volkmann; Muthuraman Muthuraman; Robert L. Peach; Martin M. Reich (npj Digit. Medicine, 2024)

Head movement dynamics in dystonia: a multi-centre retrospective study using visual perceptive deep learning. - Robert L. Peach; Maximilian U. Friedrich; Lara Fronemann; Muthuraman Muthuraman; Sebastian R. Schreglmann; Daniel Zeller; Christoph Schrader; Joachim K. Krauss; Alfons Schnitzler; Matthias Wittstock; Ann-Kristin Helmers; Steffen Paschen; et al. (npj Digit. Medicine, 2024)

Algorithm 1044: PyGenStability, a Multiscale Community Detection Framework with Generalized Markov Stability. - Alexis Arnaudon; Dominik J. Schindler; Robert L. Peach; Adam Gosztolai; Maxwell Hodges; Michael T. Schaub; Mauricio Barahona (ACM Trans. Math. Softw., 2024)

Information-Theoretic Measures on Lattices for Higher-Order Interactions. - Zhaolu Liu; Mauricio Barahona; Robert L. Peach (AISTATS, 2025)