Results 71 to 80 of about 526,550 (191)

SubCMap: subject and condition specific effect maps [PDF]

, 2017
Current methods for statistical analysis of neuroimaging data identify condition related structural alterations in the human brain by detecting group differences. They construct detailed maps showing population-wide changes due to a condition of interest.
Glocker, B, Konukoglu, E
core  

The Observational Case for Jupiter Being a Typical Massive Planet

, 2002
We identify a subsample of the recently detected extrasolar planets that is minimally affected by the selection effects of the Doppler detection method.
Grether, Daniel, Lineweaver, Charles H.
core   +1 more source

An overview of data acquisition, signal coding and data analysis techniques for MST radars [PDF]

, 1986
An overview is given of the data acquisition, signal processing, and data analysis techniques that are currently in use with high power MST/ST (mesosphere stratosphere troposphere/stratosphere troposphere) radars.
Rastogi, P. K.
core   +1 more source

Patterns of extreme outlier gene expression suggest an edge of chaos effect in transcriptomic networks

Genome Biology
Background Most RNA-seq datasets harbor genes with extreme expression levels in some samples. Such extreme outliers are usually treated as technical errors and are removed from the data before further statistical analysis.
Chen Xie, Sven Künzel, Wenyu Zhang, Cassandra A. Hathaway, Shelley S. Tworoger, Diethard Tautz   +5 more
doaj   +1 more source

A Survey on Urban Traffic Anomalies Detection Algorithms

IEEE Access, 2019
This paper reviews the use of outlier detection approaches in urban traffic analysis. We divide existing solutions into two main categories: flow outlier detection and trajectory outlier detection.
Youcef Djenouri, Asma Belhadi, Jerry Chun-Wei Lin, Djamel Djenouri, Alberto Cano   +4 more
doaj   +1 more source

Supervised detection of anomalous light-curves in massive astronomical catalogs

, 2014
The development of synoptic sky surveys has led to a massive amount of data for which resources needed for analysis are beyond human capabilities. To process this information and to extract all possible knowledge, machine learning techniques become ...
Kim, Dae-Won, Nun, Isadora, Pichara, Karim, Protopapas, Pavlos   +3 more
core   +1 more source

Temporal Outlier Analysis

International Journal of Computer Applications, 2021
Pankaj Kumar Manjhi, I. Mukherjee, Sunil Kumar Rajwar   +2 more
openaire   +1 more source

KLASIFIKASI BEAT ARITMIA PADA SINYAL EKG MENGGUNAKAN FUZZY WAVELET LEARNING VECTOR QUANTIZATION

Jurnal Ilmu Komputer dan Informasi, 2012
Pengenalan pola beat dalam analisa rekaman elektrokardiogram (EKG) menjadi bagian yang penting dalam deteksi penyakit jantung terutama aritmia. Banyak metode yang dikembangkan terkait dengan pengenalan pola beat, namun sebagian besar masih mengunakan ...
Elly Matul Imah, T. Basaruddin
doaj   +1 more source

What Is the Outlier—Consistent Outlier or Inconsistent Outlier?

Analytical Science Advances
In the design of molecules, materials and processes, outliers or outlier samples can be included in a dataset when performing machine learning or regression analysis.
Hiromasa Kaneko
doaj   +1 more source

On Weighted Multivariate Sign Functions

, 2020
Multivariate sign functions are often used for robust estimation and inference. We propose using data dependent weights in association with such functions.
Chatterjee, Snigdhansu, Majumdar, Subhabrata   +1 more
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