Results 161 to 170 of about 128,591 (295)

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Distributed Nonparametric Regression with Heterogeneity Through Prediction-Based Aggregation. [PDF]

J Comput Graph Stat
Chen Z, Li R, Xu Y.
europepmc   +1 more source

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

Advanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source

Nonparametric Tests for Exponentiality Against IFRA Alternatives Based on Cumulative Extropy Measures. [PDF]

Entropy (Basel)
Alqefari AA.
europepmc   +1 more source

NP-optimal kernels for nonparametric sequential detection rules [PDF]

An attractive nonparametric method to detect change-points sequentially is to apply control charts based on kernel smoothers. Recently, the strong convergence of the associated normed delay associated with such a sequential stopping rule has been studied
Steland, Ansgar
core  

Xstainer: A Novel Virtual Staining Tool Powered by Advanced Deep Learning Techniques

Advanced Intelligent Systems, EarlyView.
Xstainer is a deep learning–based virtual staining framework that converts hematoxylin and eosin‐stained whole slide images into multiple histochemical stains, including Masson's trichrome, Periodic acid‐Schiff, Jones methenamine silver, and Toluidine blue.
Fatma Nur Kinali, Derya Demir, Kutsev B. Ozyoruk, Yasin Almalioglu, Emre C. Kose, Drew F. K. Williamson, Gurdeniz Serin, G. Evren Keles, Banu S. Kumbaraci, Ceren Utku, Uguray P. Hacisalihoglu, Ilknur Turkmen, Figen Ozturk, Kayhan Basak, Yavuz Nuri Ertas, Mehmet Turan   +15 more
wiley   +1 more source

MonotonicityTest: An R Package for Efficient Nonparametric Monotonicity Testing. [PDF]

Obs Stud
Huynh D, Parast L.
europepmc   +1 more source

Application of a simple nonparametric conditional quantile function estimator in unemployment duration analysis [PDF]

We consider an extension of conventional univariate Kaplan-Meier type estimators for the hazard rate and the survivor function to multivariate censored data with a censored random regressor.
Wilke, Ralf A., Wichert, Laura
core  

Accounting for animal health in efficiency analysis: An application to Swedish dairy farms

American Journal of Agricultural Economics, EarlyView.
Abstract Poor animal health is a central concern in modern livestock production. Despite the necessity to incorporate animal health in efficiency analysis, the theoretical and empirical developments are limited on this subject. This article appropriately characterizes the axiomatic properties of animal health within a production framework.
Frederic Ang, Enoch Owusu‐Sekyere, Karin Alvåsen, Helena Hansson   +3 more
wiley   +1 more source

A general framework for adaptive nonparametric dimensionality reduction. [PDF]

Sci Rep
Di Noia A, Ravenda F, Mira A.
europepmc   +1 more source