Results 21 to 30 of about 180,123 (260)
Topological analysis of scalar fields with outliers
Given a real-valued function $f$ defined over a manifold $M$ embedded in $\mathbb{R}^d$, we are interested in recovering structural information about $f$ from the sole information of its values on a finite sample $P$. Existing methods provide approximation to the persistence diagram of $f$ when geometric noise and functional noise are bounded. However,
Mickaël Buchet +5 more
openaire +5 more sources
Hybrid Detection of Anomalies in Financial Transactions: A Rule-Based and Machine Learning Approach [PDF]
This paper presents a hybrid methodology for detecting anomalies in financial transactions including card-initiated transactions and payments by combining rule-based logic with unsupervised machine learning techniques.
Alexandra Stavrositu (Caratas) +4 more
doaj +1 more source
An integrated approach for identifying wrongly labelled samples when performing classification in microarray data. [PDF]
Using hybrid approach for gene selection and classification is common as results obtained are generally better than performing the two tasks independently.
Yuk Yee Leung +2 more
doaj +1 more source
Resumo Este artigo objetiva ilustrar a análise de outlier(s) aplicada aos cálculos bibliométricos. O Outlier é uma observação, elevada ou reduzida, em relação ao conjunto de dados. São três as causas possíveis para ocorrência de outlier: registro errado,
Luís Fernando Maia Lima +2 more
doaj +1 more source
ABSTRACT Background Pediatric cancer remains a leading cause of morbidity and mortality worldwide, particularly in low‐and middle‐income countries. Cancer treatment may impair nutritional status, alter body composition, and exacerbate cancer‐related fatigue (CRF).
Luís Carlos Lopes‐Junior +11 more
wiley +1 more source
Detecting Outlier Microarray Arrays by Correlation and Percentage of Outliers Spots
We developed a quality assurance (QA) tool, namely microarray outlier filter (MOF), and have applied it to our microarray datasets for the identification of problematic arrays.
Song Yang +8 more
doaj +2 more sources
Early identification of scientific breakthroughs through outlier analysis based on research entities
To address the “anomalies” that occur when scientific breakthroughs emerge, this study focuses on identifying early signs and nascent stages of breakthrough innovations from the perspective of outliers, aiming to achieve early identification of ...
Zhao Yang +3 more
doaj +1 more source
Outlier Analysis of Categorical Data using NAVF [PDF]
Outlier mining is an important task to discover the data records which have an exceptional behavior comparing with other records in the remaining dataset. Outliers do not follow with other data objects in the dataset.
D. LAKSHMI SREENIVASA REDDY +2 more
doaj +1 more source
Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
An Incremental Local Outlier Detection Method in the Data Stream
Outlier detection has attracted a wide range of attention for its broad applications, such as fault diagnosis and intrusion detection, among which the outlier analysis in data streams with high uncertainty and infinity is more challenging.
Haiqing Yao +3 more
doaj +1 more source

