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Kevin R Moon

Showing results (1-10 of 13) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|April 4, 2023
Geometry- and Accuracy-Preserving Random Forest ProximitiesJake S Rhodes, Adele Cutler, Kevin R Moon
Entropy (Basel, Switzerland)|December 3, 2020
Ensemble Estimation of Information Divergence <sup>†</sup>Kevin R Moon, Kumar Sricharan, Kristjan Greenewald, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 14, 2022
Geometry Regularized AutoencodersAndres F Duque, Sacha Morin, Guy Wolf, et al.
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)|July 26, 2016
THE INTRINSIC VALUE OF HFO FEATURES AS A BIOMARKER OF EPILEPTIC ACTIVITYStephen V Gliske, William C Stacey, Kevin R Moon, et al.
Biomedical Optics Express|December 7, 2020
Imaging of PD-L1 in single cancer cells by SERS-based hyperspectral analysisWei Zhang, Jake S Rhodes, Kevin R Moon, et al.
Analytica Chimica Acta|August 23, 2020
Label-free discrimination and quantitative analysis of oxidative stress induced cytotoxicity and potential protection of antioxidants using Raman micro-spectroscopy and machine learningWei Zhang, Jake S Rhodes, Ankit Garg, et al.
Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data|August 5, 2020
Coarse Graining of Data via Inhomogeneous Diffusion CondensationNathan Brugnone, Alex Gonopolskiy, Mark W Moyle, et al.
Cell|July 3, 2018
Recovering Gene Interactions from Single-Cell Data Using Data DiffusionDavid van Dijk, Roshan Sharma, Juozas Nainys, et al.
Nature Biotechnology|January 4, 2020
Author Correction: Visualizing structure and transitions in high-dimensional biological dataKevin R Moon, David van Dijk, Zheng Wang, et al.
Nature Biotechnology|December 5, 2019
Visualizing structure and transitions in high-dimensional biological dataKevin R Moon, David van Dijk, Zheng Wang, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 4, 2023
Geometry- and Accuracy-Preserving Random Forest ProximitiesJake S Rhodes, Adele Cutler, Kevin R Moon
Entropy (Basel, Switzerland)|December 3, 2020
Ensemble Estimation of Information Divergence <sup>†</sup>Kevin R Moon, Kumar Sricharan, Kristjan Greenewald, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 14, 2022
Geometry Regularized AutoencodersAndres F Duque, Sacha Morin, Guy Wolf, et al.
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)|July 26, 2016
THE INTRINSIC VALUE OF HFO FEATURES AS A BIOMARKER OF EPILEPTIC ACTIVITYStephen V Gliske, William C Stacey, Kevin R Moon, et al.
Biomedical Optics Express|December 7, 2020
Imaging of PD-L1 in single cancer cells by SERS-based hyperspectral analysisWei Zhang, Jake S Rhodes, Kevin R Moon, et al.
Analytica Chimica Acta|August 23, 2020
Label-free discrimination and quantitative analysis of oxidative stress induced cytotoxicity and potential protection of antioxidants using Raman micro-spectroscopy and machine learningWei Zhang, Jake S Rhodes, Ankit Garg, et al.
Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data|August 5, 2020
Coarse Graining of Data via Inhomogeneous Diffusion CondensationNathan Brugnone, Alex Gonopolskiy, Mark W Moyle, et al.
Cell|July 3, 2018
Recovering Gene Interactions from Single-Cell Data Using Data DiffusionDavid van Dijk, Roshan Sharma, Juozas Nainys, et al.
Nature Biotechnology|January 4, 2020
Author Correction: Visualizing structure and transitions in high-dimensional biological dataKevin R Moon, David van Dijk, Zheng Wang, et al.
Nature Biotechnology|December 5, 2019
Visualizing structure and transitions in high-dimensional biological dataKevin R Moon, David van Dijk, Zheng Wang, et al.
Pageof 2