暂无分享,去创建一个
Keisuke Fujii | Naoya Takeishi | Yoshinobu Kawahara | Yuki Inaba | Motokazu Hojo | Y. Kawahara | Yuki Inaba | Motokazu Hojo | Keisuke Fujii | Naoya Takeishi
[1] Joshua L. Proctor,et al. Discovering dynamic patterns from infectious disease data using dynamic mode decomposition , 2015, International health.
[2] Jie Zhou,et al. Connection adaption for control of networked mobile chaotic agents , 2017, Scientific Reports.
[3] W. Edmunds,et al. Dynamic social networks and the implications for the spread of infectious disease , 2008, Journal of The Royal Society Interface.
[4] M. Breakspear. Dynamic models of large-scale brain activity , 2017, Nature Neuroscience.
[5] B. O. Koopman,et al. Hamiltonian Systems and Transformation in Hilbert Space. , 1931, Proceedings of the National Academy of Sciences of the United States of America.
[6] Steven L. Brunton,et al. On dynamic mode decomposition: Theory and applications , 2013, 1312.0041.
[7] Herbert G. Tanner. Flocking with obstacle avoidance in switching networks of interconnected vehicles , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[8] Colin R. Twomey,et al. Revealing the hidden networks of interaction in mobile animal groups allows prediction of complex behavioral contagion , 2015, Proceedings of the National Academy of Sciences.
[9] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[10] Daniel W. Franks,et al. Social networks and models for collective motion in animals , 2011, Behavioral Ecology and Sociobiology.
[11] Christian Thiemann,et al. Robust classification of salient links in complex networks. , 2012, Nature communications.
[12] I. Mezić,et al. Spectral analysis of nonlinear flows , 2009, Journal of Fluid Mechanics.
[13] Ivan Oseledets,et al. Tensor-Train Decomposition , 2011, SIAM J. Sci. Comput..
[14] Stefan Klus,et al. Tensor-based dynamic mode decomposition , 2016, Nonlinearity.
[15] Keisuke Fujii,et al. Koopman Spectral Kernels for Comparing Complex Dynamics: Application to Multiagent Sport Plays , 2017, ECML/PKDD.
[16] Edwin Hutchins,et al. The technology of team navigation , 1990 .
[17] Naoya Takeishi,et al. Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition , 2017, NIPS.
[18] Yoshinobu Kawahara,et al. Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis , 2016, NIPS.
[19] M E J Newman,et al. Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[20] Jari Saramäki,et al. Temporal Networks , 2011, Encyclopedia of Social Network Analysis and Mining.
[21] Zhanxing Zhu,et al. Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting , 2017, IJCAI.
[22] Mikhail Prokopenko,et al. An Information Criterion for Inferring Coupling of Distributed Dynamical Systems , 2016, Front. Robot. AI.
[23] Alessandro Vespignani,et al. Reaction–diffusion processes and metapopulation models in heterogeneous networks , 2007, cond-mat/0703129.
[24] M. Macy,et al. Complex Contagions and the Weakness of Long Ties1 , 2007, American Journal of Sociology.
[25] Yoshinobu Kawahara,et al. Analysis of factors predicting who obtains a ball in basketball rebounding situations , 2019, International Journal of Performance Analysis in Sport.
[26] Motoki Kouzaki,et al. Strategies for defending a dribbler: categorisation of three defensive patterns in 1-on-1 basketball , 2014, Sports biomechanics.
[27] Naoya Takeishi,et al. Data-driven spectral analysis for coordinative structures in periodic systems with unknown and redundant dynamics , 2019, bioRxiv.
[28] P. Schmid,et al. Dynamic mode decomposition of numerical and experimental data , 2008, Journal of Fluid Mechanics.
[29] Bingni W. Brunton,et al. Extracting spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition , 2014, Journal of Neuroscience Methods.
[30] Alexander J. Smola,et al. Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes , 2007, International Journal of Computer Vision.
[31] Yixin Chen,et al. An End-to-End Deep Learning Architecture for Graph Classification , 2018, AAAI.
[32] Fan Chung,et al. Spectral Graph Theory , 1996 .
[33] A. Vespignani. Predicting the Behavior of Techno-Social Systems , 2009, Science.
[34] Richard James,et al. Social networks in the guppy (Poecilia reticulata) , 2004, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[35] Helbing,et al. Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[36] Kwang-Hyun Cho,et al. Network dynamics-based cancer panel stratification for systemic prediction of anticancer drug response , 2017, Nature Communications.
[37] Motoki Kouzaki,et al. The preparatory state of ground reaction forces in defending against a dribbler in a basketball 1-on-1 dribble subphase , 2015, Sports biomechanics.
[38] O. Sporns,et al. Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.
[39] Christian M. Reidys,et al. An Introduction to Sequential Dynamical Systems , 2007, Universitext.
[40] Steven L. Brunton,et al. Deep learning for universal linear embeddings of nonlinear dynamics , 2017, Nature Communications.
[41] Yoshinobu Kawahara,et al. Prediction and classification in equation-free collective motion dynamics , 2018, PLoS Comput. Biol..
[42] Steven L. Brunton,et al. Dynamic mode decomposition - data-driven modeling of complex systems , 2016 .
[43] Yoshinobu Kawahara,et al. Automatically recognizing strategic cooperative behaviors in various situations of a team sport , 2018, PloS one.
[44] C. Wu. Synchronization in networks of nonlinear dynamical systems coupled via a directed graph , 2005 .
[45] Roman Garnett,et al. Propagation kernels: efficient graph kernels from propagated information , 2015, Machine Learning.
[46] Renaud Lambiotte,et al. Diffusion on networked systems is a question of time or structure , 2013, Nature Communications.
[47] Petter Holme,et al. Structure and time evolution of an Internet dating community , 2002, Soc. Networks.
[48] Hisashi Kashima,et al. Eigenspace-based anomaly detection in computer systems , 2004, KDD.
[49] Shweta Bansal,et al. The dynamic nature of contact networks in infectious disease epidemiology , 2010, Journal of biological dynamics.
[50] Dahua Lin,et al. Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition , 2018, AAAI.
[51] I. Aoki. A simulation study on the schooling mechanism in fish. , 1982 .
[52] I. Mezić. Spectral Properties of Dynamical Systems, Model Reduction and Decompositions , 2005 .
[53] Marc Timme,et al. Revealing physical interaction networks from statistics of collective dynamics , 2017, Science Advances.