Results 181 to 190 of about 6,086,701 (288)

starU‐Net: An enhanced U‐Net architecture with star operation and multi‐view fusion for improved vessel segmentation

VIEW, EarlyView.
Low‐contrast capillaries are often missed or fragmented by segmentation models, so we developed a shallow four‐level starU‐Net that combines star operation‐based feature extraction with dynamic snake convolution‐based multi‐view fusion for improved thin vessel continuity.
Mengwei Bai, Li Tong, Jing Lin, Peng Huang   +3 more
wiley   +1 more source

Adaptive behavior is guided by integrated representations of controlled and non-controlled information. [PDF]

Elife
Huang B, Ritz H, Jiang J.
europepmc   +1 more source

Manifold-constrained plasticity enables stable learning in recurrent neural circuits. [PDF]

PLoS Comput Biol
Godin C, Thivierge JP.
europepmc   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Efficient Techniques Based on Sparse Representation for Classifying High-dimensional Multiclass Microarray Data. [PDF]

J Med Signals Sens
Miri M, Sadeghi MT, Abootalebi V.
europepmc   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi, Kaixiang Yang, Mengzhi Wang, Zhiwen Yu, Huanqiang Zeng, Yang Hu   +5 more
wiley   +1 more source

The curriculum effect in visual learning: The role of readout dimensionality. [PDF]

PLoS Comput Biol
Volk C, Pack CC, Bakhtiari S.
europepmc   +1 more source

Aliphatic chains as physical realizations of one-dimensional spin chains supporting magnetically silent spin waves. [PDF]

Sci Adv
Sheberstov KF.
europepmc   +1 more source

Dissecting Glioma Heterogeneity: A Deep Hybrid Graph Convolutional Network With Hinge Attention for Causal‐Effect Explainability

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Brain tumour classification is a critical task in medical imaging that requires accurate and interpretable solutions to assist in clinical decision‐making. In this paper, we present GraphConvNet‐X, a novel hybrid model that integrates convolutional neural networks (CNNs) for spatial feature extraction with graph neural networks (GNNs) that ...
Sultanul Arifeen Hamim, Mubasshar U. I. Tamim, S. M. Hasan Mahmud, M. F. Mridha, Zeyar Aung   +4 more
wiley   +1 more source

A conjecture of Warnaar-Zudilin from deformations of lie superalgebras. [PDF]

Res Math Sci
Creutzig T, Garner N.
europepmc   +1 more source