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ORCIDRobert L. Peach
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2020 – today
- 2024
[j7]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: 124218 (2024)- [j6]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) - [j5]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) - [j4]Alexis Arnaudon, Dominik J. Schindler, Robert L. Peach, Adam Gosztolai, Maxwell Hodges, Michael T. Schaub, Mauricio Barahona:
Algorithm 1044: PyGenStability, a Multiscale Community Detection Framework with Generalized Markov Stability. ACM Trans. Math. Softw. 50(2): 15:1-15:8 (2024) - [c2]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 - [i9]Zhaolu Liu, Mauricio Barahona, Robert L. Peach:
Information-Theoretic Measures on Lattices for High-Order Interactions. CoRR abs/2408.07533 (2024) - 2023
- [c1]Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano, Mauricio Barahona:
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions. NeurIPS 2023 - [i8]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 abs/2303.05385 (2023) - [i7]Adam Gosztolai, Robert L. Peach, Alexis Arnaudon, Mauricio Barahona, Pierre Vandergheynst:
Interpretable statistical representations of neural population dynamics and geometry. CoRR abs/2304.03376 (2023) - [i6]Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano, Mauricio Barahona:
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions. CoRR abs/2306.00904 (2023) - [i5]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. CoRR abs/2309.16746 (2023) - 2021
- [j3]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): 34 (2021) - [j2]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: 779091 (2021) - [j1]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): 100227 (2021) - 2020
- [i4]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 abs/2007.07003 (2020)
2010 – 2019
- 2019
- [i3]Robert L. Peach, Sophia N. Yaliraki, David Lefevre, Mauricio Barahona:
Data-driven unsupervised clustering of online learner behaviour. CoRR abs/1902.04047 (2019) - [i2]Alexis Arnaudon, Robert L. Peach, Mauricio Barahona:
Graph centrality is a question of scale. CoRR abs/1907.08624 (2019) - [i1]Robert L. Peach, Alexis Arnaudon, Mauricio Barahona:
Semi-supervised classification on graphs using explicit diffusion dynamics. CoRR abs/1909.11117 (2019)
Coauthor Index
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last updated on 2024-10-07 22:16 CEST by the dblp team
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