Results 101 to 110 of about 31,077 (302)
Channel Pruning Guided by Classification Loss and Feature Importance
In this work, we propose a new layer-by-layer channel pruning method called Channel Pruning guided by classification Loss and feature Importance (CPLI).
Guo, Jinyang, Ouyang, Wanli, Xu, Dong
core +1 more source
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 +6 more
wiley +1 more source
Is it possible to prevent excessive synaptic pruning in schizophrenia? Possibilities and limitations
BackgroundSynaptic pruning is a critical neurodevelopmental process that eliminates redundant or weak synaptic connections to optimize brain circuitry. In schizophrenia, converging evidence from imaging, genetic, and postmortem studies suggests that this
Agnieszka Pawlak +7 more
doaj +1 more source
Delayed winter pruning in ‘Chardonnay’ and ‘Pinot Noir’ (Vitis vinifera L.) in Serra Gaúcha – an alternative for late frost? [PDF]
: The use of early budding varieties in regions prone to late frosts may limit production in certain cycles. Since budburst begins in the apical buds, delaying winter pruning can be a management strategy to minimize frost risk.
Aline Mabel Rosa +5 more
doaj +1 more source
Number of targets reached vs. branching and pruning rates.
The following parameters have been used to generate these panels: (a) D = 20; (b) D = 30; (c) D = 40; (d) D = 50. For potential targets close to the cell body (case (a)), the most effective strategy is to branch as much as possible while pruning as ...
Emily Su (341331) +2 more
core +1 more source
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
ABSTRACT Background Outdoor agricultural workers experience significant heat exposure, yet few studies have evaluated whether wearable sensors can reliably measure continuous physiological responses in real field conditions. This pilot study examined the feasibility and predictive utility of core temperature, hydration, heart rate, and movement data ...
Sinan Sousan +10 more
wiley +1 more source
Breaking Down Bias: On The Limits of Generalizable Pruning Strategies
We employ model pruning to examine how LLMs conceptualize racial biases, and whether a generalizable mitigation strategy for such biases appears feasible. Our analysis yields several novel insights. We find that pruning can be an effective method to reduce bias without significantly increasing anomalous model behavior.
Sibo Ma +3 more
openaire +2 more sources
Co‐Occurring Non‐Cardiac Congenital Anomalies Among Cases With Congenital Heart Defects
ABSTRACT Cases with congenital heart defects (CHD) often have other associated anomalies. The aim of this investigation was to assess the prevalence and the types of co‐occurring anomalies in CHD in a well‐defined population. The anomalies co‐occurring with CHD were ascertained in all live births, stillbirths and terminations of pregnancy for fetal ...
Claude Stoll +2 more
wiley +1 more source
Objective Multiple sclerosis (MS) is a chronic autoimmune disease where B cells play a central pathogenic role. Cladribine, an oral therapy, provides durable benefits by reshaping lymphocyte populations, yet its specific long‐term impact on distinct B‐cell subsets is not fully understood.
Marta Pirronello +20 more
wiley +1 more source

