Results 241 to 250 of about 102,648 (335)
A qualitative assessment of quantitative easing sentiment
Economic Inquiry, EarlyView.Abstract This mixed‐method study undertakes a comprehensive inquiry of the public discourse on social media surrounding quantitative easing (QE) across the US, the UK, and the European Union. Utilizing a unique tweet dataset, we reveal the sentiment polarity toward QE policy to be strongly negative, at 71.27%, with positive sentiment a mere 4.25 ...
Niamh Wylie, Martha O’Hagan‐Luff
wiley +1 more source
Optimized Machine Learning Pipeline for Lung Cancer Classification: Feature Reduction and Hyperparameter Tuning. [PDF]
Diagnostics (Basel)Ansari GA, Shafi S, Alhazzaa L.
europepmc +1 more source
European Journal of Oral Sciences, EarlyView.Abstract Accessory root canal anatomy, including second mesiobuccal (MB2) and middle mesial canals (MMC), is difficult to identify and may compromise endodontic outcomes when missed, supporting artificial intelligence (AI)‐based diagnostic tools. This systematic review (CRD420261415943) included studies evaluating AI models for accessory canal or root ...
Hugo Henrique dos Santos Dantas Guimarães +1 more
wiley +1 more source
Importance of balanced datasets with feature selection and ensemble methods on heart disease classification using distinctive machine learning techniques: a comparative analysis. [PDF]
Sci RepAra J, Bhuiyan H, Roza II, Nahin ASM.
europepmc +1 more source
Measuring Thematic Funds Performance via an Approach Based on Observable and Latent Factors
European Financial Management, EarlyView.ABSTRACT This paper investigates whether thematic equity funds deliver abnormal performance relative to conventional global equity funds. Using Fama‐French models augmented with latent factors, we estimate fund‐level alphas, and apply the false discovery rate methodology to an estimated three‐group mixture distribution, separating good, null and bad ...
Maria Debora Braga +2 more
wiley +1 more source
A machine learning-based classification method for SynRM faults. [PDF]
Sci RepRajini V +6 more
europepmc +1 more source
Fisheries Management and Ecology, EarlyView.ABSTRACT To study variables that may trigger the dispersion of the currently expanding European catfish in its native distribution limits, 42 individuals were captured from Upper Lake Constance (lentic) and 42 from two streaming tributaries (lotic), fitted with pressure and temperature loggers, and released at the site of capture (control: lotic or ...
Albert Ros +4 more
wiley +1 more source
International Journal of Dental Hygiene, EarlyView.ABSTRACT Objective We aimed to develop and evaluate machine learning models to support population‐level risk stratification for dental caries in the permanent dentition of 12‐year‐old Korean children and to visualise the relative importance of key predictors.
Gahyun Cho +4 more
wiley +1 more source
Estimation of future occurrence of hemoglobin-A1c elevation with and without differential privacy. [PDF]
BMC Med Inform Decis MakAlam MA +4 more
europepmc +1 more source