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ORCIDMauricio Barahona
Person information
- affiliation: Imperial College London, Department of Mathematics, UK
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2020 – today
- 2024
[j35]Thomas Beaney
, Sneha Jha, Asem Alaa, Alexander Smith, Jonathan Clarke, Thomas Woodcock, Azeem Majeed, Paul Aylin, Mauricio Barahona:
Comparing natural language processing representations of coded disease sequences for prediction in electronic health records. J. Am. Medical Informatics Assoc. 31(7): 1451-1462 (2024)- [j34]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) - [i55]Dimitar Georgiev, Álvaro Fernández-Galiana, Simon Vilms Pedersen, Georgios Papadopoulos, Ruoxiao Xie, Molly M. Stevens, Mauricio Barahona:
Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders. CoRR abs/2403.04526 (2024) - [i54]Dominik J. Schindler, Sneha Jha, Xixuan Zhang, Kilian Buehling, Annett Heft, Mauricio Barahona:
LGDE: Local Graph-based Dictionary Expansion. CoRR abs/2405.07764 (2024) - [i53]Zhaolu Liu, Jonathan M. Clarke, Bertha Rohenkohl, Mauricio Barahona:
Patterns of co-occurrent skills in UK job adverts. CoRR abs/2406.03139 (2024) - [i52]Zhaolu Liu, Mauricio Barahona, Robert L. Peach:
Information-Theoretic Measures on Lattices for High-Order Interactions. CoRR abs/2408.07533 (2024) - 2023
- [j33]Stamatina Lamprinakou, Mauricio Barahona, Seth R. Flaxman, Sarah Filippi, Axel Gandy, Emma J. McCoy:
BART-based inference for Poisson processes. Comput. Stat. Data Anal. 180: 107658 (2023) - [j32]Felix Laumann, Julius von Kügelgen, Junhyung Park, Bernhard Schölkopf, Mauricio Barahona:
Kernel-Based Independence Tests for Causal Structure Learning on Functional Data. Entropy 25(12): 1597 (2023) - [c14]Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano, Mauricio Barahona:
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions. NeurIPS 2023 - [i51]Thomas Wong, Mauricio Barahona:
Robust machine learning pipelines for trading market-neutral stock portfolios. CoRR abs/2301.00790 (2023) - [i50]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) - [i49]Thomas Wong, Mauricio Barahona:
Understanding Model Complexity for temporal tabular and multi-variate time series, case study with Numerai data science tournament. CoRR abs/2303.07925 (2023) - [i48]Thomas Wong, Mauricio Barahona:
Feature Engineering Methods on Multivariate Time-Series Data for Financial Data Science Competitions. CoRR abs/2303.16117 (2023) - [i47]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) - [i46]Dominik J. Schindler, Mauricio Barahona:
Persistent Homology of the Multiscale Clustering Filtration. CoRR abs/2305.04281 (2023) - [i45]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) - [i44]Dimitar Georgiev, Simon Vilms Pedersen, Ruoxiao Xie, Álvaro Fernández-Galiana, Molly M. Stevens, Mauricio Barahona:
RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis. CoRR abs/2307.13650 (2023) - [i43]Mihir Dhanakshirur, Felix Laumann, Junhyung Park, Mauricio Barahona:
A continuous Structural Intervention Distance to compare Causal Graphs. CoRR abs/2307.16452 (2023) - 2022
- [j31]Yifan Qian, Paul Expert, Tom Rieu, Pietro Panzarasa, Mauricio Barahona:
Quantifying the Alignment of Graph and Features in Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1663-1672 (2022) - [c13]Sneha Jha, Erik Mayer, Mauricio Barahona:
Improving information fusion on multimodal clinical data in classification settings. LOUHI@EMNLP 2022: 154-159 - [c12]Asem Alaa, Erik Mayer, Mauricio Barahona:
ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations. MLHC 2022: 537-564 - [i42]Dominik J. Schindler, Jonathan Clarke, Mauricio Barahona:
Multiscale mobility patterns and the restriction of human mobility under lockdown. CoRR abs/2201.06323 (2022) - [i41]Asem Alaa, Erik Mayer, Mauricio Barahona:
ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations. CoRR abs/2207.01873 (2022) - [i40]Elias August, Mauricio Barahona:
Finding positively invariant sets and proving exponential stability of limit cycles using Sum-of-Squares decompositions. CoRR abs/2208.11599 (2022) - 2021
- [j30]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) - [j29]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) - [j28]Sophia Mersmann, Léonie Strömich, Florian J. Song, Nan Wu, Francesca V. Vianello, Mauricio Barahona, Sophia N. Yaliraki:
ProteinLens: a web-based application for the analysis of allosteric signalling on atomistic graphs of biomolecules. Nucleic Acids Res. 49(Webserver-Issue): 551-558 (2021) - [j27]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) - [j26]Yifan Qian, Paul Expert, Pietro Panzarasa, Mauricio Barahona:
Geometric graphs from data to aid classification tasks with Graph Convolutional Networks. Patterns 2(4): 100237 (2021) - [j25]Amadeus Maes, Mauricio Barahona, Claudia Clopath:
Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons. PLoS Comput. Biol. 17(3) (2021) - [j24]Juan Kuntz, Philipp Thomas, Guy-Bart Stan, Mauricio Barahona:
Approximations of Countably Infinite Linear Programs over Bounded Measure Spaces. SIAM J. Optim. 31(1): 604-625 (2021) - [j23]Juan Kuntz, Philipp Thomas, Guy-Bart Stan, Mauricio Barahona:
Stationary Distributions of Continuous-Time Markov Chains: A Review of Theory and Truncation-Based Approximations. SIAM Rev. 63(1): 3-64 (2021) - [c11]Zijing Liu, Mauricio Barahona:
Similarity measure for sparse time course data based on Gaussian processes. UAI 2021: 1332-1341 - [i39]Zijing Liu, Mauricio Barahona:
Similarity measure for sparse time course data based on Gaussian processes. CoRR abs/2102.12342 (2021) - 2020
- [j22]Zijing Liu, Mauricio Barahona:
Graph-based data clustering via multiscale community detection. Appl. Netw. Sci. 5(1): 3 (2020) - [j21]Amadeus Maes, Mauricio Barahona, Claudia Clopath:
Learning spatiotemporal signals using a recurrent spiking network that discretizes time. PLoS Comput. Biol. 16(1) (2020) - [c10]M. Tarik Altuncu, Sophia N. Yaliraki, Mauricio Barahona:
Graph-Based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles. COMPLEX NETWORKS (2) 2020: 154-166 - [i38]Yifan Qian, Paul Expert, Pietro Panzarasa, Mauricio Barahona:
Geometric graphs from data to aid classification tasks with graph convolutional networks. CoRR abs/2005.04081 (2020) - [i37]Stamatina Lamprinakou, Emma J. McCoy, Mauricio Barahona, Axel Gandy, Seth R. Flaxman, Sarah Filippi:
BART-based inference for Poisson processes. CoRR abs/2005.07927 (2020) - [i36]Yun William Yu, Jean-Charles Delvenne, Sophia N. Yaliraki, Mauricio Barahona:
Severability of mesoscale components and local time scales in dynamical networks. CoRR abs/2006.02972 (2020) - [i35]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) - [i34]M. Tarik Altuncu, Sophia N. Yaliraki, Mauricio Barahona:
Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles. CoRR abs/2010.15067 (2020)
2010 – 2019
- 2019
- [j20]M. Tarik Altuncu, Erik Mayer, Sophia N. Yaliraki, Mauricio Barahona:
From free text to clusters of content in health records: an unsupervised graph partitioning approach. Appl. Netw. Sci. 4(1): 2:1-2:23 (2019) - [j19]Iain G. Johnston, Till Hoffmann, Sam F. Greenbury, Ornella Cominetti, Muminatou Jallow, Dominic Kwiatkowski, Mauricio Barahona, Nick S. Jones, Climent Casals-Pascual:
Precision identification of high-risk phenotypes and progression pathways in severe malaria without requiring longitudinal data. npj Digit. Medicine 2 (2019) - [j18]Juan Kuntz, Philipp Thomas, Guy-Bart Stan, Mauricio Barahona:
The Exit Time Finite State Projection Scheme: Bounding Exit Distributions and Occupation Measures of Continuous-Time Markov Chains. SIAM J. Sci. Comput. 41(2): A748-A769 (2019) - [i33]Robert L. Peach, Sophia N. Yaliraki, David Lefevre, Mauricio Barahona:
Data-driven unsupervised clustering of online learner behaviour. CoRR abs/1902.04047 (2019) - [i32]Yifan Qian, Paul Expert, Tom Rieu, Pietro Panzarasa, Mauricio Barahona:
Quantifying the alignment of graph and features in deep learning. CoRR abs/1905.12921 (2019) - [i31]Alexis Arnaudon, Robert L. Peach, Mauricio Barahona:
Graph centrality is a question of scale. CoRR abs/1907.08624 (2019) - [i30]Amadeus Maes, Mauricio Barahona, Claudia Clopath:
Learning spatiotemporal signals using a recurrent spiking network that discretizes time. CoRR abs/1907.08801 (2019) - [i29]M. Tarik Altuncu, Eloise Sorin, Joshua D. Symons, Erik Mayer, Sophia N. Yaliraki, Francesca Toni, Mauricio Barahona:
Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records. CoRR abs/1909.00183 (2019) - [i28]Zijing Liu, Mauricio Barahona:
Graph-based data clustering via multiscale community detection. CoRR abs/1909.04491 (2019) - [i27]Robert L. Peach, Alexis Arnaudon, Mauricio Barahona:
Semi-supervised classification on graphs using explicit diffusion dynamics. CoRR abs/1909.11117 (2019) - 2018
- [j17]Zijing Liu, Mauricio Barahona:
Geometric multiscale community detection: Markov stability and vector partitioning. J. Complex Networks 6(2): 157-172 (2018) - [j16]Jonathan M. Clarke, Leigh R. Warren, Sonal Arora, Mauricio Barahona, Ara Darzi:
Guiding interoperable electronic health records through patient-sharing networks. npj Digit. Medicine 1 (2018) - [i26]Michael T. Schaub, Jean-Charles Delvenne, Renaud Lambiotte, Mauricio Barahona:
Multiscale dynamical embeddings of complex networks. CoRR abs/1804.03733 (2018) - [i25]Michael T. Schaub, Jean-Charles Delvenne, Renaud Lambiotte, Mauricio Barahona:
Structured networks and coarse-grained descriptions: a dynamical perspective. CoRR abs/1804.06268 (2018) - [i24]M. Tarik Altuncu, Erik Mayer, Sophia N. Yaliraki, Mauricio Barahona:
From Text to Topics in Healthcare Records: An Unsupervised Graph Partitioning Methodology. CoRR abs/1807.02599 (2018) - [i23]M. Tarik Altuncu, Sophia N. Yaliraki, Mauricio Barahona:
Content-driven, unsupervised clustering of news articles through multiscale graph partitioning. CoRR abs/1808.01175 (2018) - [i22]Neave O'Clery, Ye Yuan, Guy-Bart Stan, Mauricio Barahona:
Global Network Prediction from Local Node Dynamics. CoRR abs/1809.00409 (2018) - [i21]M. Tarik Altuncu, Erik Mayer, Sophia N. Yaliraki, Mauricio Barahona:
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach. CoRR abs/1811.05711 (2018) - 2017
- [i20]Zijing Liu, Mauricio Barahona:
Geometric Multiscale Community Detection: Markov Stability and Vector Partitioning. CoRR abs/1708.03167 (2017) - 2016
- [j15]Panayiotis S. Georgiou, Sophia N. Yaliraki, Emmanuel M. Drakakis, Mauricio Barahona:
Window functions and sigmoidal behaviour of memristive systems. Int. J. Circuit Theory Appl. 44(9): 1685-1696 (2016) - [j14]Karol A. Bacik, Michael T. Schaub, Mariano Beguerisse-Díaz, Yazan N. Billeh, Mauricio Barahona:
Flow-Based Network Analysis of the Caenorhabditis elegans Connectome. PLoS Comput. Biol. 12(8) (2016) - [j13]Juan Kuntz, Michela Ottobre, Guy-Bart Stan, Mauricio Barahona:
Bounding Stationary Averages of Polynomial Diffusions via Semidefinite Programming. SIAM J. Sci. Comput. 38(6) (2016) - [i19]Mariano Beguerisse-Díaz, Gabriel Bosque, Diego A. Oyarzún, Jesús Picó, Mauricio Barahona:
Context-dependent metabolic networks. CoRR abs/1605.01639 (2016) - [i18]Michael T. Schaub, Neave O'Clery, Yazan N. Billeh, Jean-Charles Delvenne, Renaud Lambiotte, Mauricio Barahona:
Graph partitions and cluster synchronization in networks of oscillators. CoRR abs/1608.04283 (2016) - 2015
- [j12]Michael T. Schaub, Yazan N. Billeh, Costas A. Anastassiou, Christof Koch, Mauricio Barahona:
Emergence of Slow-Switching Assemblies in Structured Neuronal Networks. PLoS Comput. Biol. 11(7) (2015) - [i17]Renaud Lambiotte, Jean-Charles Delvenne, Mauricio Barahona:
Random Walks, Markov Processes and the Multiscale Modular Organization of Complex Networks. CoRR abs/1502.04381 (2015) - [i16]Aaron Sim, Sophia N. Yaliraki, Mauricio Barahona, Michael P. H. Stumpf:
Great cities look small. CoRR abs/1507.05458 (2015) - [i15]Benjamin R. C. Amor, Sabine I. Vuik, Ryan Callahan, Ara Darzi, Sophia N. Yaliraki, Mauricio Barahona:
Community detection and role identification in directed networks: understanding the Twitter network of the care.data debate. CoRR abs/1508.03165 (2015) - [i14]Mariano Beguerisse-Díaz, Amy K. McLennan, Guillermo Garduño-Hernández, Mauricio Barahona, Stanley J. Ulijaszek:
The 'who' and 'what' of #diabetes on Twitter. CoRR abs/1508.05764 (2015) - 2014
- [j11]Panayiotis S. Georgiou, Mauricio Barahona, Sophia N. Yaliraki, Emmanuel M. Drakakis:
On memristor ideality and reciprocity. Microelectron. J. 45(11): 1363-1371 (2014) - [j10]Michael T. Schaub, Jörg Lehmann, Sophia N. Yaliraki, Mauricio Barahona:
Structure of complex networks: Quantifying edge-to-edge relations by failure-induced flow redistribution. Netw. Sci. 2(1): 66-89 (2014) - [j9]Renaud Lambiotte, Jean-Charles Delvenne, Mauricio Barahona:
Random Walks, Markov Processes and the Multiscale Modular Organization of Complex Networks. IEEE Trans. Netw. Sci. Eng. 1(2): 76-90 (2014) - 2013
- [j8]Ye Yuan, Guy-Bart Stan, Ling Shi, Mauricio Barahona, Jorge M. Gonçalves:
Decentralised minimum-time consensus. Autom. 49(5): 1227-1235 (2013) - [c9]Aivar Sootla, Natalja Strelkowa, Damien Ernst, Mauricio Barahona, Guy-Bart Stan:
On periodic reference tracking using batch-mode reinforcement learning with application to gene regulatory network control. CDC 2013: 4086-4091 - [c8]Mariano Beguerisse-Díaz, Borislav Vangelov, Mauricio Barahona:
Finding role communities in directed networks using Role-Based Similarity, Markov Stability and the Relaxed Minimum Spanning Tree. GlobalSIP 2013: 937-940 - [c7]Panayiotis S. Georgiou, Mauricio Barahona, Sophia N. Yaliraki, Emmanuel M. Drakakis:
Ideal memristors as reciprocal elements. ICECS 2013: 301-304 - [i13]Aivar Sootla, Natalja Strelkowa, Damien Ernst, Mauricio Barahona, Guy-Bart Stan:
On Periodic Reference Tracking Using Batch-Mode Reinforcement Learning with Application to Gene Regulatory Network Control. CoRR abs/1303.2987 (2013) - [i12]Aivar Sootla, Natalja Strelkowa, Damien Ernst, Mauricio Barahona, Guy-Bart Stan:
Toggling a Genetic Switch Using Reinforcement Learning. CoRR abs/1303.3183 (2013) - [i11]Michael T. Schaub, Jörg Lehmann, Sophia N. Yaliraki, Mauricio Barahona:
Structure of complex networks: Quantifying edge-to-edge relations by failure-induced flow redistribution. CoRR abs/1303.6241 (2013) - [i10]Jean-Charles Delvenne, Michael T. Schaub, Sophia N. Yaliraki, Mauricio Barahona:
The stability of a graph partition: A dynamics-based framework for community detection. CoRR abs/1308.1605 (2013) - [i9]Mariano Beguerisse-Díaz, Borislav Vangelov, Mauricio Barahona:
Finding role communities in directed networks using Role-Based Similarity, Markov Stability and the Relaxed Minimum Spanning Tree. CoRR abs/1309.1795 (2013) - [i8]Mariano Beguerisse-Díaz, Guillermo Garduño-Hernández, Borislav Vangelov, Sophia N. Yaliraki, Mauricio Barahona:
Communities, roles, and informational organigrams in directed networks: the Twitter network of the UK riots. CoRR abs/1311.6785 (2013) - 2012
- [j7]Mariano Beguerisse-Díaz, Mercedes C. Hernández-Gómez, Alessandro M. Lizzul, Mauricio Barahona, Radhika Desikan:
Compound stress response in stomatal closure: a mathematical model of ABA and ethylene interaction in guard cells. BMC Syst. Biol. 6: 146 (2012) - [j6]Elena Phoka, Mark Wildie, Simon R. Schultz, Mauricio Barahona:
Sensory experience modifies spontaneous state dynamics in a large-scale barrel cortical model. J. Comput. Neurosci. 33(2): 323-339 (2012) - [j5]Panayiotis S. Georgiou, Mauricio Barahona, Sophia N. Yaliraki, Emmanuel M. Drakakis:
Device Properties of Bernoulli Memristors. Proc. IEEE 100(6): 1938-1950 (2012) - 2011
- [j4]Jun Wu, Mauricio Barahona, Yuejin Tan, Hongzhong Deng:
Robustness of regular ring lattices based on natural connectivity. Int. J. Syst. Sci. 42(7): 1085-1092 (2011) - [j3]Jun Wu, Mauricio Barahona, Yuejin Tan, Hongzhong Deng:
Spectral Measure of Structural Robustness in Complex Networks. IEEE Trans. Syst. Man Cybern. Part A 41(6): 1244-1252 (2011) - [c6]Ye Yuan, Guy-Bart Stan, Mauricio Barahona, Ling Shi, Jorge M. Gonçalves:
Decentralised minimal-time consensus. CDC/ECC 2011: 4282-4289 - [i7]Kathryn Cooper, Mauricio Barahona:
Role-similarity based comparison of directed networks. CoRR abs/1103.5582 (2011) - [i6]Mariano Beguerisse-Díaz, Baojun Wang, Radhika Desikan, Mauricio Barahona:
A global Monte-Carlo method for fitting parameters of differential equation models. CoRR abs/1107.2879 (2011) - [i5]Michael T. Schaub, Jean-Charles Delvenne, Sophia N. Yaliraki, Mauricio Barahona:
Markov dynamics as a zooming lens for multiscale community detection: non clique-like communities and the field-of-view limit. CoRR abs/1109.5593 (2011) - [i4]Michael T. Schaub, Renaud Lambiotte, Mauricio Barahona:
Coding of Markov dynamics for multiscale community detection in complex networks. CoRR abs/1109.6642 (2011) - 2010
- [i3]Renaud Lambiotte, Roberta Sinatra, Jean-Charles Delvenne, T. S. Evans, Mauricio Barahona, Vito Latora:
Flow graphs: interweaving dynamics and structure. CoRR abs/1012.1211 (2010) - [i2]Kathryn Cooper, Mauricio Barahona:
Role-based similarity in directed networks. CoRR abs/1012.2726 (2010)
2000 – 2009
- 2009
- [c5]Zeynep Engin, Jeffrey Ng, Mauricio Barahona, Anil A. Bharath:
An analysis of the Map Seeking Circuit and Monte Carlo extensions. ICASSP 2009: 2929-2932 - 2008
- [j2]Martin Hemberg, Mauricio Barahona:
A Dominated Coupling From The Past algorithm for the stochastic simulation of networks of biochemical reactions. BMC Syst. Biol. 2: 42 (2008) - [i1]Jean-Charles Delvenne, Sophia N. Yaliraki, Mauricio Barahona:
Stability of graph communities across time scales. CoRR abs/0812.1811 (2008) - 2007
- [j1]Martin Hemberg, Mauricio Barahona:
Noise characteristics of interlocked repressilators. BMC Syst. Biol. 1(S-1): S7 (2007) - 2006
- [c4]E. Lazaridis, Emmanuel M. Drakakis, Mauricio Barahona:
A biomimetic CMOS synapse. ISCAS 2006 - 2004
- [c3]Ali Jadbabaie, Nader Motee, Mauricio Barahona:
On the stability of the Kuramoto model of coupled nonlinear oscillators. ACC 2004: 4296-4301 - 2002
- [c2]Mario Sznaier, Andrew C. Doherty, Mauricio Barahona, Hideo Mabuchi, John C. Doyle:
A new bound of the 𝓛2[0, T]-induced norm and applications to model reduction. ACC 2002: 1180-1185 - [c1]Mauricio Barahona, Andrew C. Doherty, Mario Sznaier, Hideo Mabuchi, John C. Doyle:
Finite horizon model reduction and the appearance of dissipation in Hamiltonian systems. CDC 2002: 4563-4568
Coauthor Index
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