Michelle Girvan

发表

Computational landscape of user behavior on social media pdf

David Darmon, William Rand, Michelle Girvan, 2019, ArXiv.

The myopia of crowds: Cognitive load and collective evaluation of answers on Stack Exchange pdf

Kristina Lerman, William Rand, Michelle Girvan, 2016, PloS one.

Dynamical properties of structured Boolean networks

Michelle Girvan, Wolfgang Losert, Edward Ott, 2008 .

The Impact of Imperfect Information on Network Attack

Michelle Girvan, Thomas M. Antonsen, Edward Ott, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

Predictability of User Behavior in Social Media: Bottom-Up v. Top-Down Modeling

David Darmon, William Rand, Michelle Girvan, 2013, 2013 International Conference on Social Computing.

Robustness of Network Measures to Link Errors

Michelle Girvan, Edward Ott, John Platig, 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach

Michelle Girvan, Yiannis Aloimonos, Sanjukta Krishnagopal, 2018, Complex..

Network Analysis of Granular Flows

Michelle Girvan, 2012 .

Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation

Michelle Girvan, Garrett E. Katz, James Reggia, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms pdf

Michelle Girvan, Petros Koumoutsakos, Jaideep Pathak, 2019, ArXiv.

Topological properties of chromosome conformation graphs reflect spatial proximities within chromatin

Michelle Girvan, Robert Patro, Geet Duggal, 2013, BCB.

Complexity-Regularized Regression for Serially-Correlated Residuals with Applications to Stock Market Data

David Darmon, Michelle Girvan, M. Girvan, 2014, Entropy.

Multiscale Oscillator Interactions in Large Networks of Networks

Michelle Girvan, Thomas M. Antonsen, Edward Ott, 2011 .

The Joint Effect of Network Topology and Update Functions on the Stability of Boolean Networks

Michelle Girvan, Edward Ott, Andrew Pomerance, 2013 .

Hybrid Forecasting of Complex Systems: Combing Machine Learning with Knowledge-based Models

Michelle Girvan, 2019 .

Complexity reduction ansatz for systems of interacting orientable agents: Beyond the Kuramoto model.

Michelle Girvan, Edward Ott, Sarthak Chandra, 2019, Chaos.

Understanding the Predictive Power of Computational Mechanics and Echo State Networks in Social Media

David Darmon, William Rand, Michelle Girvan, 2013, 1306.6111.

Modeling criticality in networks of neurons

Michelle Girvan, Edward Ott, Andrew Pomerance, 2014 .

Why do Reservoir Computing Networks Predict Chaotic Systems so Well

Michelle Girvan, Jaideep Pathak, Edward Ott, 2017 .

Finding New Order in Biological Functions from the Network Structure of Gene Annotations

Michelle Girvan, Kimberly Glass, M. Girvan, 2012, PLoS Comput. Biol..

Separation of Chaotic Signals by Reservoir Computing

Michelle Girvan, Brian Hunt, Edward Ott, 2020, Chaos.

A hierarchical network heuristic for solving the orientation problem in genome assembly

Michelle Girvan, James A. Yorke, Aleksey V. Zimin, 2013, 1307.0541.

Identifying and predicting Parkinson’s disease subtypes through trajectory clustering via bipartite networks

Michelle Girvan, Sanjukta Krishnagopal, Rainer Von Coelln, 2019, PloS one.

Spatially embedded growing small-world networks

Michelle Girvan, Thomas M. Antonsen, Edward Ott, 2014, Scientific reports.

Criticality and Robustness in Networks of Neurons

Michelle Girvan, 2018 .

An Alternate Method for Organizing Biological Functions using Gene Annotation Networks

Michelle Girvan, Kimberly Glass, 2012 .

Competing Opinions and Stubborness: Connecting Models to Data

William Rand, Michelle Girvan, Keith Burghardt, 2014, Physical review. E.

The myopia of crowds: Cognitive load and collective evaluation of answers on Stack Exchange

Kristina Lerman, William Rand, Michelle Girvan, 2016, PloS one.

Forecasting high tide: Predicting times of elevated activity in online social media

David Darmon, William Rand, Michelle Girvan, 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model

Michelle Girvan, Jaideep Pathak, Edward Ott, 2018, Chaos.

A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data pdf

Michelle Girvan, Andrew Pomerance, Daniel Canaday, 2021, ArXiv.

Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components

Michelle Girvan, Jaideep Pathak, Istvan Szunyogh, 2021, Chaos.

Supplementary material from "Phase transitions and assortativity in models of gene regulatory networks evolved under different selection processes"

Michelle Girvan, 2021 .

Parallel Machine Learning for Forecasting the Dynamics of Complex Networks pdf

Michelle Girvan, Edward Ott, Thomas Antonsen, 2021, Physical review letters.

Predicting Maximum Tree Heights and Other Traits from Allometric Scaling and Resource Limitations

Michelle Girvan, Geoffrey B. West, Christopher P. Kempes, 2011, PloS one.

Resynchronization of circadian oscillators and the east-west asymmetry of jet-lag.

Michelle Girvan, Edward Ott, Thomas M Antonsen, 2016, Chaos.

Weakly explosive percolation in directed networks.

Michelle Girvan, Edward Ott, Thomas M Antonsen, 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

Interpreting Patterns of Gene Expression: Signatures of Coregulation, the Data Processing Inequality, and Triplet Motifs

Michelle Girvan, Edward Ott, Geet Duggal, 2012, PloS one.

Dynamical transitions in large systems of mean field-coupled Landau-Stuart oscillators: Extensive chaos and cluster states.

Michelle Girvan, Edward Ott, Wai Lim Ku, 2015, Chaos.

Erratum: Spectral properties of networks with community structure [Phys. Rev. E 80, 056114 (2009)]

Michelle Girvan, Edward Ott, Sanjeev Chauhan, 2012 .

A network function-based definition of communities in complex networks.

Michelle Girvan, Edward Ott, E. Ott, 2012, Chaos.

Using network function to define and identify community structure

Michelle Girvan, Edward Ott, Sanjeev Chauhan, 2009 .

Single-cell systems biology: probing the basic unit of information flow.

Michelle Girvan, M. Girvan, D. Larson, 2018, Current opinion in systems biology.

Onset of irreversibility in cyclic shear of granular packings.

Michelle Girvan, Wolfgang Losert, Krisztian Ronaszegi, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

Modeling the network dynamics of pulse-coupled neurons.

David Hathcock, Michelle Girvan, Edward Ott, 2017, Chaos.

Multiscale dynamics in communities of phase oscillators.

Michelle Girvan, Edward Ott, Thomas M Antonsen, 2012, Chaos.

Implications of functional similarity for gene regulatory interactions

Michelle Girvan, Wolfgang Losert, Edward Ott, 2012, Journal of The Royal Society Interface.