Results 21 to 30 of about 88,867 (255)

Anomaly detection research using Isolation Forest in Machine Learning

Вестник Дагестанского государственного технического университета: Технические науки
Objective. The study is devoted to assessing the applicability of the Isolation Forest method in the task of detecting anomalies in network traffic data characterized by insufficient markup.
A. S. Kechedzhiev, O. L. Tsvetkova
doaj   +1 more source

Condition monitoring method for marine engine room equipment based on machine learning

Zhongguo Jianchuan Yanjiu, 2021
ObjectivesIn order to realize the intelligent condition monitoring of marine engine room equipment, machine learning algorithms are introduced and a condition monitoring method based on manifold learning and an isolation forest is proposed.MethodsAs ...
Ruihan WANG, Hui CHEN, Cong GUAN
doaj   +1 more source

Anomaly-based threat detection in smart health using machine learning

BMC Medical Informatics and Decision Making
Background Anomaly detection is crucial in healthcare data due to challenges associated with the integration of smart technologies and healthcare. Anomaly in electronic health record can be associated with an insider trying to access and manipulate the ...
Muntaha Tabassum, Saba Mahmood, Amal Bukhari, Bader Alshemaimri, Ali Daud, Fatima Khalique   +5 more
doaj   +1 more source

OptIForest: Optimal Isolation Forest for Anomaly Detection

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Anomaly detection plays an increasingly important role in various fields for critical tasks such as intrusion detection in cybersecurity, financial risk detection, and human health monitoring. A variety of anomaly detection methods have been proposed, and a category based on the isolation forest mechanism stands out due to its simplicity, effectiveness,
Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, Xiaolong Xu 0001   +7 more
openaire   +4 more sources

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Hybrid Time-Series Forecasting and Anomaly Detection for Early Deforestation Monitoring in Indonesia [PDF]

E3S Web of Conferences
Deforestation remains a major environmental issue in Indonesia, affecting biodiversity and increasing carbon emissions. This study analyzes forest dynamics by combining time-series forecasting and anomaly detection approaches.
Abdillah Rifqi, Mar’i Farhanna, Cinthya Monica, Pratama Moch Deny, Septiyanti Nisa Dwi, Ul Haq Mohamad Thoriq Dhiya, Mamentu Gizelle Mathilda, Ma'arif Ramzi Pandu   +7 more
doaj   +1 more source

Distribution and volume based scoring for Isolation Forests

CoRR, 2023
7 ...
Hichem Dhouib, Alissa Wilms, Paul Boes
openaire   +2 more sources

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba, Mark Shacker, Timothy P. Fleming, Michael A. Smith, Ross M. Bremner, Narendra V. Sankpal   +5 more
wiley   +1 more source

Revisiting randomized choices in isolation forests

CoRR, 2021
Isolation forest or "iForest" is an intuitive and widely used algorithm for anomaly detection that follows a simple yet effective idea: in a given data distribution, if a threshold (split point) is selected uniformly at random within the range of some variable and data points are divided according to whether they are greater or smaller than this ...
openaire   +3 more sources