Results 211 to 220 of about 88,867 (255)

Genetic diversity and conservation of a rare Miconia species (Melastomataceae) from the Brazilian Atlantic Forest. [PDF]

Genetica
Goebel G, Augustin AF, Nery EK, Fritsche Y, Stefenon VM, Lima DF, Caddah MK.   +6 more
europepmc   +1 more source

Detection and Early Detection of Pathological Motor Evoked Potentials: A Novel Approach for Intraoperative Neuromonitoring Assistance. [PDF]

J Healthc Inform Res
Azzari A, Boaro A, Basaldella F, Nunes S, Sala F, Combi C, Sala P, Bicego M.   +7 more
europepmc   +1 more source

Genomic Vulnerability of a Threatened Possum in a Biodiversity and Climate Change Hotspot. [PDF]

Mol Ecol
Marsh GI, Buckley SJ, White DJ, Wayne AF, Palmer BJ, Mitchell NJ.   +5 more
europepmc   +1 more source

Beyond detection: unveiling microbial dynamics in oak seedlings using fungal isolation and amplicon sequencing. [PDF]

Environ Microbiome
Frejlichová L, Maldonado-González MM, Škarpa P, Tomšovský M, Eichmeier A.   +4 more
europepmc   +1 more source

Assessing Habitat Suitability and Landscape Connectivity for the Endangered Forest Musk Deer (<i>Moschus berezovskii</i>) at Its Northern Distribution Margin: A Multi-Scale Ensemble Approach. [PDF]

Ecol Evol
Zheng W, Luo P, Li Y, Hai L, Jin X, Qin X, Yan L, Hu D.   +7 more
europepmc   +1 more source

Extended Isolation Forest [PDF]

IEEE Transactions on Knowledge and Data Engineering, 2021
12 pages; 21 figures, Published.
Matias Carrasco Kind, Robert Brunner, Sahand Hariri   +2 more
exaly   +3 more sources

A probabilistic generalization of isolation forest

Information Sciences, 2022
Abstract The problem of finding anomalies and outliers in datasets is one of the most important challenges of modern data analysis. Among the commonly dedicated tools to solve this task one can find Isolation Forest (IF) that is an efficient, conceptually simple, and fast method. In this study, we propose the Probabilistic Generalization of Isolation
Mikhail Tokovarov, Paweł Karczmarek
exaly   +2 more sources

Generalized isolation forest for anomaly detection [PDF]

Pattern Recognition Letters, 2021
Abstract This letter introduces a generalization of Isolation Forest (IF) based on the existing Extended IF (EIF). EIF has shown some interest compared to IF being for instance more robust to some artefacts. However, some information can be lost when computing the EIF trees since the sampled threshold might lead to empty branches.
Jean-Yves Tourneret, Julien Lesouple, Cedric Baudoin   +2 more
exaly   +4 more sources