Outlier detection methods to improve the quality of citizen science data
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Biometeorology"
DOI: 10.1007/s00484-020-01968-z
Abstract: Citizen science involves public participation in research, usually through volunteer observation and reporting. Data collected by citizen scientists are a valuable resource in many fields of research that require long-term observations at large geographic scales.… read more here.
Keywords: phenology; quality; citizen science; outlier removal ... See more keywords
Fast and unsupervised outlier removal by recurrent adaptive reconstruction extreme learning machine
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-019-00943-4
Abstract: Outlier removal is vital in machine learning. As massive unlabeled data are generated rapidly today, eliminating outliers from noisy data in a fast and unsupervised manner is gaining increasing attention in practical applications. This paper… read more here.
Keywords: extreme learning; machine; outlier removal; rar elm ... See more keywords
A new method for identification of outliers in immunogenicity assay cut point data.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of immunological methods"
DOI: 10.1016/j.jim.2020.112817
Abstract: The cut point is an important parameter for immunogenicity assay validation and critical to immunogenicity assessment in clinical trials. FDA (2019) recommends using a statistical approach to derive cut point, with an appropriate outlier removal… read more here.
Keywords: cut point; outlier removal; variability; point ... See more keywords
A method for Sentinel-1 DEM outlier removal using 2-D Kalman filter
Sign Up to like & getrecommendations! Published in 2020 at "Geocarto International"
DOI: 10.1080/10106049.2020.1815866
Abstract: The generation of a very accurate and precise digital elevation model (DEM) is one of the main objectives of remote sensing applications. Synthetic-Aperture Radar (SAR) interferometry is one of the... read more here.
Keywords: dem outlier; using kalman; method sentinel; sentinel dem ... See more keywords
Guaranteed Outlier Removal for Point Cloud Registration with Correspondences
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2017.2773482
Abstract: An established approach for 3D point cloud registration is to estimate the registration function from 3D keypoint correspondences. Typically, a robust technique is required to conduct the estimation, since there are false correspondences or outliers.… read more here.
Keywords: guaranteed outlier; outlier removal; point cloud; registration ... See more keywords