Lista de obras - Xiaofeng Zhu - Dominio Público Uruguay

A Novel Dynamic Hyper-Graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases

scientific article published on 23 May 2017

A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis

artículo científico publicado en 2018

A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity

artículo científico publicado en 2017

A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis

artículo científico publicado en 2014

A novel multi-relation regularization method for regression and classification in AD diagnosis

artículo científico publicado en 2014

A novel relational regularization feature selection method for joint regression and classification in AD diagnosis

artículo científico publicado en 2015

A sparse embedding and least variance encoding approach to hashing

artículo científico

Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network

scholarly article by Qian Wang et al published 2017 in Lecture Notes in Computer Science

Adaptive Multi-Modality Prompt Learning

artículo científico publicado en 2024

Block-Row Sparse Multiview Multilabel Learning for Image Classification.

artículo científico publicado en 2015

Canonical feature selection for joint regression and multi-class identification in Alzheimer's disease diagnosis

artículo científico publicado en 2015

Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation

artículo científico publicado en 2024

Deep Spatio-Temporal Attention-Based Recurrent Network From Dynamic Adaptive Functional Connectivity for MCI Identification

artículo científico publicado en 2022

Discriminative self-representation sparse regression for neuroimaging-based alzheimer's disease diagnosis

artículo científico publicado en 2017

Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases

scientific article published on 31 August 2018

Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine

artículo científico publicado en 2016

Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosis

artículo científico publicado en 2018

Efficient Utilization of Missing Data in Cost-Sensitive Learning

artículo científico publicado en 2021

Efficient kNN Classification With Different Numbers of Nearest Neighbors.

artículo científico publicado en 2017

FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer’s Disease Analysis

artículo científico publicado en 2023

Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis

artículo científico publicado en 2016

Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis

artículo científico publicado en 2017

Group sparse reduced rank regression for neuroimaging genetic study

artículo científico publicado en 2018

Half-Quadratic Minimization for Unsupervised Feature Selection on Incomplete Data

artículo científico publicado en 2020

Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image

Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis

article by Yu Zhang et al published September 2017 in Lecture Notes in Computer Science

Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer’s Disease analysis

artículo científico publicado en 2022

Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis

artículo científico publicado en 2016

Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan

artículo científico publicado en 2020

Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers

artículo científico publicado en 2017

Low-Rank Sparse Subspace for Spectral Clustering

artículo científico publicado en 2019

Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis

artículo científico publicado en 2014

Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data

artículo científico publicado en 2017

Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification

artículo científico publicado en 2021

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning

artículo científico publicado en 2017

Multi-modality canonical feature selection for Alzheimer's disease diagnosis

artículo científico publicado en 2014

Multi-view Classification for Identification of Alzheimer's Disease

artículo científico publicado en 2015

Multigraph Fusion for Dynamic Graph Convolutional Network

artículo científico publicado en 2024

One-Step Multi-View Spectral Clustering

artículo científico publicado en 2019

Personalized Diagnosis for Alzheimer's Disease

artículo científico publicado en 2017

Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease

artículo científico publicado en 2016

Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification

artículo científico publicado en 2016

Reverse Graph Learning for Graph Neural Network

artículo científico publicado en 2024

Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection.

artículo científico publicado en 2016

Robust SVM with adaptive graph learning ⬇️

artículo científico publicado en 2019

Robust self-tuning multi-view clustering

artículo científico publicado en 2022

Self-weighted Multi-view Fuzzy Clustering

artículo científico publicado en 2020

Sparse Graph Connectivity for Image Segmentation

artículo científico publicado en 2020

Spectral clustering via half-quadratic optimization ⬇️

scholarly article

Spectral rotation for deep one-step clustering

artículo científico publicado en 2020

Spectral rotation for deep one-step clustering

artículo científico publicado en 2020

Strength and Similarity Guided Group-level Brain Functional Network Construction for MCI Diagnosis

scientific article published on 07 December 2018

Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview

artículo científico publicado en 2022

Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer's Disease Diagnosis

artículo científico publicado en 2016

Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations

scientific article published on 02 October 2016

Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis

scientific article published on 24 November 2018

Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification

artículo científico publicado en 2015

Universal Weighting Metric Learning for Cross-Modal Retrieval

artículo científico publicado en 2022

Unsupervised feature selection by self-paced learning regularization

artículo científico publicado en 2020

Lista de obras de Xiaofeng Zhu

A Novel Dynamic Hyper-Graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases

A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis

A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity

A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis

A novel multi-relation regularization method for regression and classification in AD diagnosis

A novel relational regularization feature selection method for joint regression and classification in AD diagnosis

A sparse embedding and least variance encoding approach to hashing

Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network

Adaptive Multi-Modality Prompt Learning

Block-Row Sparse Multiview Multilabel Learning for Image Classification.

Canonical feature selection for joint regression and multi-class identification in Alzheimer's disease diagnosis

Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation

Deep Spatio-Temporal Attention-Based Recurrent Network From Dynamic Adaptive Functional Connectivity for MCI Identification

Discriminative self-representation sparse regression for neuroimaging-based alzheimer's disease diagnosis

Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases

Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine

Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosis

Efficient Utilization of Missing Data in Cost-Sensitive Learning

Efficient kNN Classification With Different Numbers of Nearest Neighbors.

FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer’s Disease Analysis

Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis

Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis

Group sparse reduced rank regression for neuroimaging genetic study

Half-Quadratic Minimization for Unsupervised Feature Selection on Incomplete Data

Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image

Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis

Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer’s Disease analysis

Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis

Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan

Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers

Low-Rank Sparse Subspace for Spectral Clustering

Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis

Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data

Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning

Multi-modality canonical feature selection for Alzheimer's disease diagnosis

Multi-view Classification for Identification of Alzheimer's Disease

Multigraph Fusion for Dynamic Graph Convolutional Network

One-Step Multi-View Spectral Clustering

Personalized Diagnosis for Alzheimer's Disease

Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease

Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification

Reverse Graph Learning for Graph Neural Network

Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection.

Robust SVM with adaptive graph learning ⬇️

Robust self-tuning multi-view clustering

Self-weighted Multi-view Fuzzy Clustering

Sparse Graph Connectivity for Image Segmentation

Spectral clustering via half-quadratic optimization ⬇️

Spectral rotation for deep one-step clustering

Spectral rotation for deep one-step clustering

Strength and Similarity Guided Group-level Brain Functional Network Construction for MCI Diagnosis

Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview

Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer's Disease Diagnosis

Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations

Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis

Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification

Universal Weighting Metric Learning for Cross-Modal Retrieval

Unsupervised feature selection by self-paced learning regularization