Results 251 to 260 of about 1,117,435 (318)

High-throughput mechanical characterization of giant unilamellar vesicles by real-time deformability cytometry.

Soft Matter
Kloppe M, Maurer SJ, Abele T, Göpfrich K, Aland S.   +4 more
europepmc   +1 more source

Use ggbreak to Effectively Utilize Plotting Space to Deal With Large Datasets and Outliers

Frontiers in Genetics, 2021
With the rapid increase of large-scale datasets, biomedical data visualization is facing challenges. The data may be large, have different orders of magnitude, contain extreme values, and the data distribution is not clear.
Shuangbin Xu, Guangchuang Yu
exaly   +2 more sources

Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median

Journal of Experimental Social Psychology, 2013
Christophe Leys, Christophe Ley, Olivier Klein   +2 more
exaly   +2 more sources

Detecting multivariate outliers: Use a robust variant of the Mahalanobis distance

Journal of Experimental Social Psychology, 2018
Christophe Leys, Olivier Klein, Christophe Ley   +2 more
exaly   +2 more sources

How to Classify, Detect, and Manage Univariate and Multivariate Outliers, With Emphasis on Pre-Registration

Revue Internationale De Psychologie Sociale, 2019
Researchers often lack knowledge about how to deal with outliers when analyzing their data. Even more frequently, researchers do not pre-specify how they plan to manage outliers.
Christophe Leys, Youri L Mora, Daniel Lakens   +2 more
exaly   +2 more sources

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Partial-Node-Based State Estimation for Delayed Complex Networks Under Intermittent Measurement Outliers: A Multiple-Order-Holder Approach

IEEE Transactions on Neural Networks and Learning Systems, 2022
This article is concerned with the partial-node-based (PNB) state estimation problem for delayed complex networks (DCNs) subject to intermittent measurement outliers (IMOs).
Lei Zou, Zidong Wang, Jun Hu, Hongli Dong   +3 more
semanticscholar   +1 more source

Set-Membership Filtering Subject to Impulsive Measurement Outliers: A Recursive Algorithm

IEEE/CAA Journal of Automatica Sinica, 2021
This paper is concerned with the set-membership filtering problem for a class of linear time-varying systems with norm-bounded noises and impulsive measurement outliers.
Lei Zou, Zidong Wang, Hang Geng, Xiaohui Liu   +3 more
semanticscholar   +1 more source

An Adaptive Kalman Filter With Inaccurate Noise Covariances in the Presence of Outliers

IEEE Transactions on Automatic Control, 2021
In this article, a novel variational Bayesian (VB) adaptive Kalman filter with inaccurate nominal process and measurement noise covariances (PMNC) in the presence of outliers is proposed.
Hao Zhu, Guorui Zhang, Yongfu Li, H. Leung   +3 more
semanticscholar   +1 more source