My papers can also be found on Google Scholar.


Somthing has gone wrong

S. Bin Masud, M. Werenski, J.M. Murphy, and S. Aeron.

"Multivariate Soft Rank Via Entropic Optimal Transport: Sample Efficiency and Generative Modeling"

arXiv.

2022






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S.L. Polk, K. Cui, R.J. Plemmons, and J.M. Murphy.

"Diffusion and volume maximization-based clustering of highly mixed hyperspectral images"

arXiv.

2022






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M. Duchin, T. Weighill, and J.M. Murphy.

"Measuring Segregation via Analysis on Graphs."

SIAM Journal on Matrix Analysis and Applications, arXiv.

2022






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M. Werenski, R. Jiang, A. Tasissa, S. Aeron, and J.M. Murphy.

"Measure Estimation in the Barycentric Coding Model"

ICML, arXiv.

2022






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K. Cui, R. Li, S.L. Polk, J.M. Murphy, R.J. Plemmons, and R.H. Chan.

Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry

WHISPERS, arXiv.

2022






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K. Devkota and H. Schmidt and M. Werenski and J.M. Murphy and M. Erden and V. Arsenescu and L.J. Cowen

"GLIDER: Function Prediction from GLIDE-based Neigborhoods."

Bioinformatics.

2022






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S.L. Polk, K. Cui, R.J. Plemmons, and J.M. Murphy.

Active diffusion and VCA-assisted image segmentation of hyperspectral images

IGARSS, arXiv.

2022






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S.L. Polk, A.H.Y. Chan, K. Cui, R.J. Plemmons, D.A. Coomes, and J.M. Murphy.

Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering

IGARSS, arXiv.

2022






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J.M. Murphy and S. Polk.

"A Multiscale Environment for Learning by Diffusion."

Applied and Computational Harmonic Analysis, arXiv.

2022






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M. Duchin and J.M. Murphy.

"Measuring Clustering and Segregation."

Political Geometry.

2022





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A. Little, D. McKenzie, and J.M. Murphy.

"Balancing Geometry and Density: Path Distances on High-Dimensional Data."

SIAM Journal on Mathematics of Data Science, arXiv.

2022





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J. Damjanovic, J.M. Murphy, and Y.S. Lin.

"CATBOSS: Cluster analysis of trajectories based on segment splitting."

Journal of Chemical Information and Modeling.

2021





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A. Tasissa, D. Nguyen, and J.M. Murphy.

"Deep Diffusion Processes for Active Learning of Hyperspectral Images."

IGARSS, arXiv.

2021





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S. Polk and J.M. Murphy.

"Multiscale clustering of hyperspectral images through spectral-spatial diffusion geometry."

IGARSS, arXiv.

2021





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S. Zhang and J.M. Murphy.

"Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics."

Remote Sensing, arXiv.

2021





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L. Cowen, K. Devkota, X. Hu, J.M. Murphy, and K. Wu.

"Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks."

SIAM Journal on Mathematics of Data Science, arXiv.

2021





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P. Tankala, A. Tasissa, J.M. Murphy, and D. Ba.

"Manifold Learning and Deep Clustering with Local Dictionaries."

arXiv.

2020





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J.M. Murphy.

"Patch-Based Diffusion Learning for Hyperspectral Image Clustering."

IGARSS.

2020






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E. Gnang and J.M. Murphy.

"Spectral analysis for non-Hermitian matrics."

Linear Algebra and its Applications, arXiv.

2020





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J.M. Murphy.

"Spatially regularized active diffusion learning for high-dimensional images."

Pattern Recognition Letters, arXiv.

2020





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A. Little, M. Maggioni, and J.M. Murphy.

"Path-based spectral clustering: Guarantees, robustness to outliers, and fast algorithms."

Journal of Machine Learning Research, arXiv.

2020





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K. Kashkooli, S.L. Polk, E.Y. Hahm, J.M. Murphy, B.R. Ethridge, J. Gitlin, R. Ibala, J. Mekonnen, J.C. Pedemonte, H. Sun, M.B. Westover, R. Barbieri, O. Akeju, S. Chamadia.

"Improved tracking of sevoflurane anesthetic states with drug-specific machine learning models."

Journal of Neural Engineering.

2020





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K. Devkota, J.M. Murphy and L. Cowen.

"GLIDE: Combining Local Methods and Diffusion State Embeddings to Predict Missing Interactions in Biological Networks"

Bioinformatics.

2020





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J.M. Murphy and M. Maggioni.

"Spectral-spatial diffusion geometry for hyperspectral image clustering."

IEEE Geoscience and Remote Sensing Letters, arXiv.

2020





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M. Maggioni and J.M. Murphy.

"Learning by Unsupervised Nonlinear Diffusion."

Journal of Machine Learning Research, arXiv.

2019





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J.M. Murphy and M. Maggioni.

"Unsupervised clustering and active learning of hyperspectral images with nonlinear diffusion."

IEEE Transactions on Geoscience and Remote Sensing.

2019





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N. Kapsin and J.M. Murphy.

"Spatially regularized multiscale graph clustering for electron microscopy."

SPIE.

2019





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J.M. Murphy and M. Maggioni.

"Unsupervised Discriminative Dimension Reduction for Hyperspectral Chemical Plume Segmentation."

IGARSS.

2019





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S.L.Polk, K. Kashkooli, S.B. Nagaraj, S. Chamadia, J.M. Murphy, H. Sun, M.B. Westover, R. Barbieri, and O. Akeju.

"Automatic Detection of General Anesthetic-States using ECG-Derived Autonomic Nervous System Features."

EMBC.

2019





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K. Kashkooli, S.L. Polk, S. Chamadia, E. Hahm, B. Ethridge, J. Gitlin, R. Ibala, J. Mekonnen, J. Pedemonte, J.M. Murphy, H. Sun, M.B. Westover, and O. Akeju.

"Drug-Specific Models Improve the Performance of an EEG-based Automated Brain-State Prediction System".

EMBC.

2019






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M. Maggioni and J.M. Murphy.

"Learning by Active Nonlinear Diffusion."

Foundations of Data Science, arXiv.

2019





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Y. Liu, B. Tracey, S. Aeron, E. Miller, J. Murphy, T. Sun, N. McDannold.

"Artifact Suppression for Passive Cavitation Imaging Using U-Net CNNs with Uncertainty Quantification."

ICISP.

2019





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W. Czaja, J.M. Murphy, and D. Weinberg.

"Superresolution of Noisy Remotely Sensed Images Through Directional Representations."

IEEE Geoscience and Remote Sensing Letters, arXiv.

2018





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W. Czaja, B. Manning, J.M. Murphy, and K. Stubbs.

"Discrete Directional Gabor Frames."

Applied and Computational Harmonic Analysis, arXiv.

2018





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J.M. Murphy and M. Maggioni.

"Iterative active learning with diffusion geometry for hyperspectral images."

WHISPERS.

2018





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J.M. Murphy and M. Maggioni.

"Diffusion geometric methods for fusion of remotely sensed data."

SPIE.

2018





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E.J. King and J.M. Murphy.

"Diffusion geometric methods for fusion of remotely sensed data."

PAMM, arXiv.

2017





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J.M. Murphy and J. Le Moigne and D.J. Harding.

"Automatic image registration of multimodal remotely sensed data with global shearlet features."

IEEE Transactions on Geoscience and Remote Sensing.

2016





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J.M. Murphy and O.N. Leija and J. Le Moigne.

"Agile multi-scale decompositions for automatic image registration."

SPIE.

2016





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W. Czaja, L. McLean, B. Manning, and J.M. Murphy.

"Fusion of aerial gamma-ray survey and remote sensing data for a deeper understanding of radionuclide fate after radiological incidents: examples from the Fukushima Dai-Ichi response."

Journal of Radioanalytical and Nuclear Chemistry.

2016





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J.M. Murphy and J. Le Moigne.

"Shearlet features for registration of remotely sensed multitemporal images."

IGARSS.

2015





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W. Czaja, D. Weinberg and J.M. Murphy.

"Superresolution of remotely sensed images with anisotropic features."

SAMPTA.

2015





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E. Bosch, W. Czaja, D. Weinberg and J.M. Murphy.

"Anisotropic representations for superresolution of hyperspectral data."

SPIE.

2015





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J.M. Murphy.

"Anisotropic harmonic analysis and integration of remotely sensed data."

Ph.D. Thesis.

2015





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W. Czaja, T. Doster, and J.M. Murphy.

"Wavelet packet mixing for image fusion and pan-sharpening."

SPIE.

2014