Gramian Angular Fields for leveraging pretrained computer vision models with anomalous diffusion trajectories

2 September 2023

Papers citing "Gramian Angular Fields for leveraging pretrained computer vision models with anomalous diffusion trajectories"

8 / 8 papers shown

Title
Efficient recurrent neural network methods for anomalously diffusing single particle short and noisy trajectories Òscar Garibo i Orts M. Garcia-March J. A. Conejero 58 17 0 05 Aug 2021
A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data Sajila D. Wickramaratne Md. Shaad Mahmud 47 18 0 14 Jan 2021
Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis Palani Thanaraj Krishnan B. Parvathavarthini U. Tanik V. Rajinikanth Seifedine Kadry K. Kamalanand 33 46 0 08 Mar 2020
Machine learning method for single trajectory characterization Gorka Muñoz-Gil M. Garcia-March Carlo Manzo J. D. Martín-Guerrero M. Lewenstein 34 64 0 07 Mar 2019
Spectral content of a single non-Brownian trajectory D. Krapf Nils Lukat E. Marinari Ralf Metzler G. Oshanin C. Selhuber‐Unkel A. Squarcini Lorenz Stadler M. Weiss Xinran Xu 39 100 0 01 Feb 2019
Power spectral density of a single Brownian trajectory: What one can and cannot learn from it D. Krapf E. Marinari Ralf Metzler G. Oshanin Xinran Xu A. Squarcini 34 80 0 09 Jan 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,900 0 17 Apr 2017
Imaging Time-Series to Improve Classification and Imputation Zhiguang Wang Tim Oates AI4TS 127 678 0 01 Jun 2015