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Machine-Learning Solutions for the Analysis of Single-Particle Diffusion
  Trajectories

Machine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories

18 August 2023
Henrik Seckler
J. Szwabiński
Ralf Metzler
ArXivPDFHTML

Papers citing "Machine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories"

6 / 6 papers shown
Title
Machine Learning Analysis of Anomalous Diffusion
Machine Learning Analysis of Anomalous Diffusion
Wenjie Cai
Yi Hu
X. Qu
Hui Zhao
Gongyi Wang
Jing Li
Zihan Huang
67
1
0
02 Dec 2024
Unsupervised learning of anomalous diffusion data
Unsupervised learning of anomalous diffusion data
Gorka Muñoz-Gil
Guillem Guigo i Corominas
M. Lewenstein
DiffM
20
17
0
07 Aug 2021
Efficient recurrent neural network methods for anomalously diffusing
  single particle short and noisy trajectories
Efficient recurrent neural network methods for anomalously diffusing single particle short and noisy trajectories
Òscar Garibo i Orts
M. Garcia-March
J. A. Conejero
18
17
0
05 Aug 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
279
9,136
0
06 Jun 2015
Imaging Time-Series to Improve Classification and Imputation
Imaging Time-Series to Improve Classification and Imputation
Zhiguang Wang
Tim Oates
AI4TS
39
667
0
01 Jun 2015
1