Results 21 to 30 of about 343,541 (352)
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks [PDF]
AAAI Conference on Artificial Intelligence, 2021 Many well-established anomaly detection methods use the distance of a sample to those in its local neighbourhood: so-called `local outlier methods', such as LOF and DBSCAN.
Adam Goodge +3 more
semanticscholar +1 more source
Frontiers in Physiology, 2023 As an important technique for data pre-processing, outlier detection plays a crucial role in various real applications and has gained substantial attention, especially in medical fields.
Jia Li +5 more
semanticscholar +1 more source
Education Sciences, 2017 Amid growing concerns about the future of the U.S. economy and workforce, educators and policymakers alike have increasingly emphasized the need to expand the number of students interested in, qualified for and actually pursuing careers in science ...
Melanie LaForce +2 more
doaj +1 more source
Data compression algorithms for sensor networks with periodic transmission schemes [PDF]
MATEC Web of Conferences, 2022 The operating state of switch cabinet is significant for the reliability of the whole power system, collecting and monitoring its data through the wireless sensor network is an effective method to avoid accidents.
Chen Jianxin +5 more
doaj +1 more source
Applied Sciences, 2023 Collecting time-series receive signal strength (RSS) observations and averaging them is a common method for dealing with RSS fluctuation. However, outliers in the time-series observations affect the averaging process, making this method less efficient ...
A. Yaro, Filip Malý, Pavel Prazák
semanticscholar +1 more source
Mathematics, 2020 Ground level concentrations of nitrogen oxide (NOx) can act as an indicator of air quality in the urban environment. In cities with relatively good air quality, and where NOx concentrations rarely exceed legal limits, adverse health effects on the ...
Javier Martínez Torres +5 more
doaj +1 more source
Comparison of Different Response Time Outlier Exclusion Methods: A Simulation Study
Frontiers in Psychology, 2021 In response time (RT) research, RT outliers are typically excluded from statistical analysis to improve the signal-to-noise ratio. Nevertheless, there exist several methods for outlier exclusion.
Alexander Berger, M. Kiefer
semanticscholar +1 more source
Bootstrap innovational outlier unit root tests in dependent panels [PDF]
, 2012 In this paper, we propose new simple innovational outlier (IO) panel unit root tests with a break. A bootstrap method for dealing with cross-sectional dependence is provided and small sample properties of the bootstrap tests are investigated by Monte ...
Gutierrez, L +5 more
core +1 more source
Separating Effect From Significance in Markov Chain Tests
Statistics and Public Policy, 2020 We give qualitative and quantitative improvements to theorems which enable significance testing in Markov chains, with a particular eye toward the goal of enabling strong, interpretable, and statistically rigorous claims of political gerrymandering.
Maria Chikina +3 more
doaj +1 more source
Outlier-Aware Demand Prediction Using Recurrent Neural Network-Based Models and Statistical Approach
IEEE Access, 2023 The paint industry comprises an elaborate supply chain involving various activities such as raw material procurement, manufacturing, and distribution. In addition, the accuracy of demand prediction significantly impacts supply chain management.
Yuseon Kim, Kyongseok Park
doaj +1 more source