Results 51 to 60 of about 6,356,098 (354)

Multiple perspectives HMM-based feature engineering for credit card fraud detection

, 2019
Machine learning and data mining techniques have been used extensively in order to detect credit card frauds. However, most studies consider credit card transactions as isolated events and not as a sequence of transactions.
Caelen, Olivier, Calabretto, Sylvie, Granitzer, Michael, He-Guelton, Liyun, Laporte, Léa, Lucas, Yvan, Portier, Pierre-Edouard   +6 more
core   +1 more source

Electricity Theft Detection in Smart Grids Using a Hybrid BiGRU–BiLSTM Model with Feature Engineering-Based Preprocessing

Italian National Conference on Sensors, 2022
In this paper, a defused decision boundary which renders misclassification issues due to the presence of cross-pairs is investigated. Cross-pairs retain cumulative attributes of both classes and misguide the classifier due to the defused data samples ...
S. Munawar, Nadeem Javaid, Zeshan Aslam Khan, Naveed Ishtiaq Chaudhary, R. Zahoor, A. H. Milyani, A. A. Azhari   +6 more
semanticscholar   +1 more source

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül, Neriman Sıla Koç, Berrak Itır Aylı   +2 more
wiley   +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

Data Engineering for the Analysis of Semiconductor Manufacturing Data [PDF]

, 1995
We have analyzed manufacturing data from several different semiconductor manufacturing plants, using decision tree induction software called Q-YIELD. The software generates rules for predicting when a given product should be rejected.
Turney, Peter
core   +2 more sources

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, Samulowitz, Horst, Turaga, Deepak   +2 more
core   +1 more source

Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme

IEEE Access, 2021
Stock market forecasting is a knotty challenging task due to the highly noisy, nonparametric, complex and chaotic nature of the stock price time series.
Yaohu Lin, Shancun Liu, Haijun Yang, Harris Wu   +3 more
semanticscholar   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +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