Robert L. Peach

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Top Venues

npj Digit. Medicine

Frontiers Digit. Health

Publications

Maximilian U. Friedrich, Anna-Julia Roenn, Chiara Palmisano, Jane Alty, Steffen Paschen, Günther Deuschl, Chi Wang Ip, Jens Volkmann, Muthuraman Muthuraman, Robert L. Peach, Martin M. Reich
Validation and application of computer vision algorithms for video-based tremor analysis. npj Digit. Medicine 7 (1) (2024)
Robert L. Peach, Matteo Vinao-Carl, Nir Grossman, Michael David, Emma Mallas, David J. Sharp, Paresh A. Malhotra, Pierre Vandergheynst, Adam Gosztolai
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds. ICLR (2024)
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, Andrea A. Kühn, Inger Marie Skogseid, Wilhelm Eisner, Joerg Mueller, Cordula Matthies, Martin M. Reich, Jens Volkmann, Chi Wang Ip
Head movement dynamics in dystonia: a multi-centre retrospective study using visual perceptive deep learning. npj Digit. Medicine 7 (1) (2024)
Ali Seyfizadeh, Robert L. Peach, Philip Tovote, Ioannis U. Isaias, Jens Volkmann, Muthuraman Muthuraman
Enhancing security in brain-computer interface applications with deep learning: Electroencephalogram-based user identification. Expert Syst. Appl. 253 (2024)
Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano, Mauricio Barahona
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions. NeurIPS (2023)
Robert L. Peach, Matteo Vinao-Carl, Nir Grossman, Michael David, Emma Mallas, David Sharp, Paresh A. Malhotra, Pierre Vandergheynst, Adam Gosztolai
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds. CoRR (2023)
Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano, Mauricio Barahona
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions. CoRR (2023)
Adam Gosztolai, Robert L. Peach, Alexis Arnaudon, Mauricio Barahona, Pierre Vandergheynst
Interpretable statistical representations of neural population dynamics and geometry. CoRR (2023)
Alexis Arnaudon, Dominik J. Schindler, Robert L. Peach, Adam Gosztolai, Maxwell Hodges, Michael T. Schaub, Mauricio Barahona
PyGenStability: Multiscale community detection with generalized Markov Stability. CoRR (2023)
Ashleigh C. Myall, Robert L. Peach, Andrea Y. Weiße, Siddharth Mookerjee, Frances Davies, Alison H. Holmes, Mauricio Barahona
Network memory in the movement of hospital patients carrying antimicrobial-resistant bacteria. Appl. Netw. Sci. 6 (1) (2021)
Robert L. Peach, Alexis Arnaudon, Julia A. Schmidt, Henry A. Palasciano, Nathan R. Bernier, Kim E. Jelfs, Sophia N. Yaliraki, Mauricio Barahona
HCGA: Highly comparative graph analysis for network phenotyping. Patterns 2 (4) (2021)
Zhaolu Liu, Robert L. Peach, Emma L. Lawrance, Ariele Noble, Mark A. Ungless, Mauricio Barahona
Listening to Mental Health Crisis Needs at Scale: Using Natural Language Processing to Understand and Evaluate a Mental Health Crisis Text Messaging Service. Frontiers Digit. Health 3 (2021)
Robert L. Peach, Sam F. Greenbury, Iain G. Johnston, Sophia N. Yaliraki, David Lefevre, Mauricio Barahona
Data-driven modelling and characterisation of task completion sequences in online courses. CoRR (2020)
Robert L. Peach, Sophia N. Yaliraki, David Lefevre, Mauricio Barahona
Data-driven unsupervised clustering of online learner behaviour. CoRR (2019)
Alexis Arnaudon, Robert L. Peach, Mauricio Barahona
Graph centrality is a question of scale. CoRR (2019)
Robert L. Peach, Alexis Arnaudon, Mauricio Barahona
Semi-supervised classification on graphs using explicit diffusion dynamics. CoRR (2019)