Results 61 to 70 of about 524,719 (351)

Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering

Journal of Big Data
The classification of imbalanced datasets is a prominent task in text mining and machine learning. The number of samples in each class is not uniformly distributed; one class contains a large number of samples while the other has a small number ...
Muhammad Mujahid, Erol Kına, F. Rustam, Mónica Gracia Villar, Eduardo Silva Alvarado, Isabel de la Torre Díez, Imran Ashraf   +6 more
semanticscholar   +1 more source

Feature engineering through two-level genetic algorithm

Machine Learning with Applications
Deep learning models are widely used for their high predictive performance, but often lack interpretability. Traditional machine learning methods, such as logistic regression and ensemble models, offer greater interpretability but typically have lower ...
Aditi Gulati, Armin Felahatpisheh, Camilo E. Valderrama   +2 more
doaj   +1 more source

Time Toxicity in Wilms Tumor: Quantifying the Burden of Healthcare Interaction in the First Year After Diagnosis

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, Veerain Gupta, Nicholas J. Clark, Vijay Rings, Lauren E. Corona, Douglass B. Clayton, Daniel J. Benedetti   +6 more
wiley   +1 more source

Feature-Oriented Variability Management in Product Line Engineering [PDF]

, 2006
Features are effective communication “media” among different stakeholders of products or product lines. Hence, feature orientation in analyzing com-monality and variability of product lines is appealing.
Muthig, Dirk, Lee, Jaejoon
core  

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási, Bernadett Borbála Huszti, Gábor Barna, Marko Kavcic, Janez Jazbec, Lennart Lenk, Vera Münch, Sophia Polychronopoulou, Ágnes Márk, Maria Thastrup, Lüder H. Meyer, Kjeld Schmiegelow, Cornelia Eckert, Christina Halsey, Dániel J. Erdélyi   +14 more
wiley   +1 more source

A scoping review of machine learning for sepsis prediction- feature engineering strategies and model performance: a step towards explainability

Critical Care
Sepsis, an acute and potentially fatal systemic response to infection, significantly impacts global health by affecting millions annually. Prompt identification of sepsis is vital, as treatment delays lead to increased fatalities through progressive ...
Sherali Bomrah, Mohy Uddin, Umashankar Upadhyay, M. Komorowski, J. Priya, Eshita Dhar, Shih-chang Hsu, S. Syed-Abdul   +7 more
semanticscholar   +1 more source

Fraudulent review detection model focusing on emotional expressions and explicit aspects: investigating the potential of feature engineering

Decision Support Systems, 2022
Reading customer reviews before purchasing items online has become a common practice; however, some companies use machine learning (ML) algorithms to generate false reviews in order to create positive brand images of their own products and negative ...
Ajay Kumar, R. Gopal, R. Shankar, K. Tan
semanticscholar   +1 more source

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, Karim M. Soliman, Wisit Cheungpasitporn, Wannasit Wathanavasin, Ahmed Daoud, Ahmed I. Kamal, Balázs Szamosfalvi, Tibor Fülöp   +7 more
wiley   +1 more source

Hyperparameter Optimization of Bayesian Neural Network Using Bayesian Optimization and Intelligent Feature Engineering for Load Forecasting

Italian National Conference on Sensors, 2022
This paper proposes a new hybrid framework for short-term load forecasting (STLF) by combining the Feature Engineering (FE) and Bayesian Optimization (BO) algorithms with a Bayesian Neural Network (BNN).
M. Zulfiqar, K. Gamage, M. Kamran, M. B. Rasheed   +3 more
semanticscholar   +1 more source

Variability Management Mechanism for Domain Engineering and Case Study in SunRoof Control Domain

Tehnički Glasnik
This study aims to suggest variability mechanisms for software product line development and to explain the results of case study. Software product line engineering is an extension of software engineering and many organizations constantly engage in ...
Jeong Ah Kim
doaj   +1 more source