Results 51 to 60 of about 5,201 (163)
A Local Density-Based Approach for Local Outlier Detection
, 2016 This paper presents a simple but effective density-based outlier detection approach with the local kernel density estimation (KDE). A Relative Density-based Outlier Score (RDOS) is introduced to measure the local outlierness of objects, in which the ...
He, Haibo, Tang, Bo
core +1 more source
Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.This review presents a new taxonomy to summarize one‐class classification (OCC) algorithms and their applications. The main argument is that OCC should not learn multiple classes. The paper highlights common violations of OCC involving multiple classes.
Toshitaka Hayashi +3 more
wiley +1 more source
Journal of Informatics and Computer Science (JINACS)Pada setiap semester dalam universitas terdapat kuisioner berupa penilaian terhadap kinerja dosen. Evaluasi kinerja dosen yang terdapat di Universitas Negeri Surabaya merupakan proses penting untuk memastikan bahwa dosen telah memenuhi tugas dan tanggung jawabnya dalam menyampaikan pendidikan berkualitas terhadap mahasiswanya.
Mutmainah Mutmainah, Wiyli Yustanti
openaire +1 more source
Journal of Cellular and Molecular Medicine, Volume 30, Issue 6, March 2026.ABSTRACT The APOE gene, which encodes Apolipoprotein E (ApoE), is the strongest genetic risk locus for Alzheimer's disease (AD). A substantial fraction of AD risk genes converges on pathways controlling lipid metabolism and immune regulation, in which microglia serve as a central integrative hub in the brain.
Dayoung Kim +6 more
wiley +1 more source
, 2016 A novel algorithm and implementation of real-time identification and tracking of blob-filaments in fusion reactor data is presented. Similar spatio-temporal features are important in many other applications, for example, ignition kernels in combustion ...
Chang, Cs +7 more
core +1 more source
Deviation‐Guided Attention for Semi‐Supervised Anomaly Detection With Contrastive Regularisation
CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 66-82, February 2026.ABSTRACT Anomaly detection (AD) aims to identify abnormal patterns that deviate from normal behaviour, playing a critical role in applications such as industrial inspection, medical imaging and autonomous driving. However, AD often faces a scarcity of labelled data. To address this challenge, we propose a novel semi‐supervised anomaly detection method,
Guanglei Xie +6 more
wiley +1 more source
Energies, 2023 The accurate detection of wind power outliers plays a crucial role in wind power forecasting, while the inherited strong randomness and high fluctuations bring great challenges to this issue.
Jingtao Huang, Jin Qin, Shuzhong Song
doaj +1 more source
The impact of Hnrnpl deficiency on transcriptional patterns of developing muscle cells
FEBS Open Bio, Volume 16, Issue 1, Page 178-198, January 2026.We performed nanopore whole‐transcriptome sequencing comparing RNA from Hnrnpl‐knockdown versus control C2C12 myoblasts to investigate the contributions of Hnrnpl to muscle development. Our results indicate that Hnrnpl regulates the expression of genes involved with Notch signaling and skeletal muscle, particularly splicing patterns of specific muscle ...
Hannah R. Littel +8 more
wiley +1 more source
Quantum Algorithm for Unsupervised Anomaly Detection
, 2023 Anomaly detection, an important branch of machine learning, plays a critical role in fraud detection, health care, intrusion detection, military surveillance, etc.
Gao, Fei +7 more
core
Noncausal AR‐ARCH Model and Its Applications to Financial Time Series
International Journal of Finance &Economics, Volume 31, Issue 1, Page 1424-1443, January 2026.ABSTRACT We extend the noncausal autoregressive models by introducing noncausality into the variance component, allowing the volatility to depend on future prices as well. We refer to this model as the noncausal AR‐ARCH model, and it enables us to account for shocks arising from market agents who possess more information and engage in forward‐looking ...
Yaosong Zhan +3 more
wiley +1 more source