The ground truth about metadata and community detection in networks L Peel, DB Larremore, A Clauset Science advances 3 (5), e1602548, 2017 | 512 | 2017 |
Detecting change points in the large-scale structure of evolving networks L Peel, A Clauset Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 285 | 2015 |
Data driven prognostics using a Kalman filter ensemble of neural network models L Peel 2008 international conference on prognostics and health management, 1-6, 2008 | 238 | 2008 |
Maritime anomaly detection using Gaussian process active learning K Kowalska, L Peel 2012 15th International Conference on Information Fusion, 1164-1171, 2012 | 160 | 2012 |
Detectability thresholds and optimal algorithms for community structure in dynamic networks A Ghasemian, P Zhang, A Clauset, C Moore, L Peel Physical Review X 6 (3), 031005, 2016 | 148 | 2016 |
Capturing time-of-flight data with confidence M Reynolds, J Doboš, L Peel, T Weyrich, GJ Brostow CVPR 2011, 945-952, 2011 | 142 | 2011 |
Multiscale mixing patterns in networks L Peel, JC Delvenne, R Lambiotte Proceedings of the National Academy of Sciences 115 (16), 4057-4062, 2018 | 117 | 2018 |
Community detection in networks without observing edges T Hoffmann, L Peel, R Lambiotte, NS Jones Science Advances 6 (4), eaav1478, 2020 | 61* | 2020 |
Statistical inference links data and theory in network science L Peel, TP Peixoto, M De Domenico Nature Communications 13 (1), 6794, 2022 | 59 | 2022 |
Graph-based semi-supervised learning for relational networks L Peel Proceedings of the 2017 SIAM international conference on data mining, 435-443, 2017 | 45 | 2017 |
Fast maritime anomaly detection using kd-tree gaussian processes J Will, L Peel, C Claxton IMA Maths in Defence Conference, 2011 | 39 | 2011 |
The architecture of an empirical genotype-phenotype map J Aguilar-Rodríguez, L Peel, M Stella, A Wagner, JL Payne Evolution 72 (6), 1242-1260, 2018 | 32 | 2018 |
Estimating network parameters for selecting community detection algorithms L Peel Information Fusion (FUSION), 2010 13th Conference on, 1-8, 2010 | 32 | 2010 |
Network constraints on the mixing patterns of binary node metadata M Cinelli, L Peel, A Iovanella, JC Delvenne Physical Review E 102 (6), 062310, 2020 | 24 | 2020 |
Hierarchical community structure in networks MT Schaub, J Li, L Peel Physical Review E 107 (5), 054305, 2023 | 23 | 2023 |
Active discovery of network roles for predicting the classes of network nodes L Peel Journal of Complex Networks 3 (3), 431-449, 2015 | 15 | 2015 |
Topological feature based classification L Peel Information Fusion (FUSION), 2011 Proceedings of the 14th International …, 2011 | 14 | 2011 |
Predicting sports scoring dynamics with restoration and anti-persistence L Peel, A Clauset 2015 IEEE International Conference on Data Mining, 339-348, 2015 | 13 | 2015 |
Individual perception dynamics in drunk games A Antonioni, LA Martinez-Vaquero, C Mathis, L Peel, M Stella Physical Review E 99 (5), 052311, 2019 | 11 | 2019 |
Supervised blockmodelling L Peel arXiv preprint arXiv:1209.5561, 2012 | 10 | 2012 |