Results 191 to 200 of about 18,911 (296)

KIR-SMOTE: Knowledge Inconsistency Repair SMOTE for Imbalanced Data Classification

Class imbalance is a pervasive challenge in machine learning, where standard classifiers often exhibit a strong bias toward the majority class. Although the Synthetic Minority Over-sampling Technique (SMOTE) is widely used to address this issue by interpolating new minority samples, it heavily relies on spatial geometry and ignores underlying domain ...
openaire   +1 more source

The Impact of Assessing Patients' Sense of Security on Nurses' Intent to Report Safety Events: A Factorial Survey Experiment

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aims To evaluate whether information about patients' poor sense of security in hypothetical vignette scenarios increases nurses' projected intent to report safety events. Design Quantitative, cross‐sectional factorial survey vignette experiment administered online.
Patricia S. Groves, Yelena Perkhounkova, Maria Hein, Peter James Abad   +3 more
wiley   +1 more source

Assessment of landslide hazard under specific rainfall scenarios based on a hybrid CNN-TRIGRS and matrix approach: a case study of Meishan Town, Zhejiang Province, China. [PDF]

Sci Rep
Wang Z, Wang Z, Shi F, Zhang X, Bi D, Qu L.   +5 more
europepmc   +1 more source

ANALISIS PREDIKSI KLASIFIKASI POKEMON LEGENDARY MENGGUNAKAN ALGORITMA SMOTE RANDOM FOREST

Classification of legendary Pokémon is essential for research and game strategy, given their significant differences from regular Pokémon. This study used the SMOTE Random Forest technique to address the complexity of data from 721 Pokémon samples ...
Prayoga, Aji
core  

Anthropometric differences between twins at birth and their association with later cognitive performance

Journal of Child Psychology and Psychiatry, EarlyView.
Background Past studies indicate significant associations between birth anthropometrics, such as relative birthweight or head circumference, and later cognitive performance. Using twin data, we investigated whether these associations are confounded by genetic and environmental factors.
Robert Eves, Marco Deppe, Christian Kandler, Bastian Mönkediek, Sakari Lemola   +4 more
wiley   +1 more source

A novel generative oversampling for software defect prediction. [PDF]

Sci Rep
Goyal SR.
europepmc   +1 more source

Self‐administered single‐session interventions for mental health in young people: A systematic review and meta‐analysis

Journal of Child Psychology and Psychiatry, EarlyView.
Background Children and young people's mental health is an area of concern worldwide. In the face of barriers such as long waits to access evidence‐based treatment, perceived stigma, and a desire to tackle challenges independently, self‐administered single‐session interventions (SSIs) have arisen as one potential solution.
Jessica Ball, Richard Meiser‐Stedman, Zoe Thompson, Kenny Chiu   +3 more
wiley   +1 more source

Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation Study. [PDF]

JMIR AI
Handayani VW, Margaretha Amiatun Ruth MS, Rulaningtyas R, Kurniawan A, Yudhantorro BA, Yudianto A.   +5 more
europepmc   +1 more source

Marine heatwaves shape size‐dependent thermal exposure, habitat use and marine residency in Arctic char (Salvelinus alpinus)

Journal of Fish Biology, EarlyView.
Abstract Marine heatwaves (MHWs) are increasing in high‐latitude oceans, yet behavioural responses of anadromous fishes to these potential stressors during short marine feeding seasons remain poorly understood. We combined acoustic telemetry (internal temperature and depth) with satellite‐derived sea surface temperature data to quantify Arctic char ...
Jessica E. Desforges, David Côté, Joey Angnatok, J. Brian Dempson, Travis E. Van Leeuwen   +4 more
wiley   +1 more source

Post-quantum cognitive zero trust architecture for healthcare IoT devices. [PDF]

PLoS One
Hussain H, Mishra S, Alshenaifi R.
europepmc   +1 more source