Results 51 to 60 of about 2,151,311 (285)
Dynamic Feature Engineering for Adaptive Fraud Detection
Engineering ProceedingsIn today’s digital economy, electronic payments are essential to supporting financial transactions. However, the danger of fraud also rises with company complexity and volume.
Ajay Sharma +4 more
doaj +1 more source
Research on the Fault Coefficient in Complex Electrical Engineering
Applied Sciences, 2015 Fault detection and isolation in a complex system are research hotspots and frontier problems in the reliability engineering field. Fault identification can be regarded as a procedure of excavating key characteristics from massive failure data, then ...
Yi Sun, Yagang Zhang, Yinding Wang
doaj +1 more source
Feature Engineering for Predictive Modeling using Reinforcement Learning
, 2017 Feature engineering is a crucial step in the process of predictive modeling. It involves the transformation of given feature space, typically using mathematical functions, with the objective of reducing the modeling error for a given target.
Khurana, Udayan +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook +6 more
wiley +1 more source
PubMed in progress: latest changes in MeSH and MyNCBI [PDF]
, 2011 PubMed interface re-engineering has moved further steps with the latest changes in the MeSH – Medical Subject Headings database and in the MyNCBI homepage.
Giglia, Elena
core
Toward Optimal Feature Selection in Naive Bayes for Text Categorization
, 2016 Automated feature selection is important for text categorization to reduce the feature size and to speed up the learning process of classifiers. In this paper, we present a novel and efficient feature selection framework based on the Information Theory ...
He, Haibo, Kay, Steven, Tang, Bo
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi +5 more
wiley +1 more source
Social Embeddedness and Agent Development [PDF]
, 1998 Two different reasons for using agents are distinguished: the `engineering' perspective and the `social simulation' perspective. It is argued that this entails some differences in approach.
Edmonds, Bruce
core
A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
Advanced Feature Engineering for Non-Intrusive Load Monitoring
IEEE AccessNon-Intrusive Load Monitoring (NILM) aims to identify electrical appliances in a household from voltage and current signals, enabling energy efficiency and smart grid applications.
Joaquin Luque +4 more
doaj +1 more source