Dazhe Zhao

According to our database1, Dazhe Zhao authored at least 66 papers between 1996 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease.
Neuroinformatics, 2019

2018
Modeling Alzheimer's Disease Progression with Fused Laplacian Sparse Group Lasso.
TKDD, 2018

ℓ2, 1-ℓ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease.
Pattern Recognition, 2018

Identifying localization attacks in wireless sensor networks using deep learning.
Journal of Intelligent and Fuzzy Systems, 2018

Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease.
Computer Methods and Programs in Biomedicine, 2018

Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease.
Comp. Math. Methods in Medicine, 2018

Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso.
Comp. Med. Imag. and Graph., 2018

A Pulmonary Vascular Segmentation Algorithm of Chest CT Images Based on Fast Marching Method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

An Extracting Method of Symmetry Plane from Head CT images for Surgery Based on OBB and Image Mutual Information.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer's disease.
Pattern Recognition, 2017

A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules.
Pattern Recognition, 2017

Robust positioning algorithm based on relative location map for mobile wireless sensor networks.
Journal of Intelligent and Fuzzy Systems, 2017

Image segmentation and bias correction using local inhomogeneous iNtensity clustering (LINC): A region-based level set method.
Neurocomputing, 2017

2, 1 norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification.
Neurocomputing, 2017

A ℓ2, 1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD.
Computer Methods and Programs in Biomedicine, 2017

Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm.
Comp. Med. Imag. and Graph., 2017

Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures.
Comp. in Bio. and Med., 2017

Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer's Disease.
Proceedings of the Brain Informatics - International Conference, 2017

2016
Image segmentation using CUDA accelerated non-local means denoising and bias correction embedded fuzzy c-means (BCEFCM).
Signal Processing, 2016

Segmentation of longitudinal brain MR images using bias correction embedded fuzzy c-means with non-locally spatio-temporal regularization.
J. Visual Communication and Image Representation, 2016

Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images.
Comp. Math. Methods in Medicine, 2016

Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis.
Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016

Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning.
Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016

2015
Bicriteria Optimization in Wireless Sensor Networks: Link Scheduling and Energy Consumption.
J. Sensors, 2015

A Two-Stage Range-Free Localization Method for Wireless Sensor Networks.
IJDSN, 2015

FPGA-based design and implementation of arterial pulse wave generator using piecewise Gaussian-cosine fitting.
Comp. in Bio. and Med., 2015

Segmentation of Ischemic Stroke Lesions in Multi-spectral MR Images Using Weighting Suppressed FCM and Three Phase Level Set.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Impact of the Number of Atlases in a Level Set Formulation of Multi-atlas Segmentation.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

A Robust Energy Minimization Algorithm for MS-Lesion Segmentation.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

2014
Distributed Movement Control for Building a Ring in Mobile Wireless Sensor Networks.
IJDSN, 2014

Hybrid probabilistic sampling with random subspace for imbalanced data learning.
Intell. Data Anal., 2014

Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD.
Comp. Med. Imag. and Graph., 2014

Hand Gesture Shape Descriptor Based on Energy-Ratio and Normalized Fourier Transform Coefficients.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

2013
A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

An Optimized Cost-Sensitive SVM for Imbalanced Data Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Design of an OSGi-Based WSN Gateway.
Proceedings of the IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks, 2013

Segmentation of the Left Ventricle Using Distance Regularized Two-Layer Level Set Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

CRNN: Integrating classification rules into neural network.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A novel cost sensitive neural network ensemble for multiclass imbalance data learning.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning.
Proceedings of the 13th International Conference on Hybrid Intelligent Systems, 2013

A Hybrid Approach to Web Information System Modularization.
Proceedings of the Advances in Conceptual Modeling, 2013

Measure oriented cost-sensitive SVM for 3D nodule detection.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

An approach of hierarchical concept clustering on Medical Short Text corpus.
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013

2012
Do We Need Another Textual Language for Feature Modeling? - A Preliminary Evaluation on the XML Based Approach.
Proceedings of the Software Engineering Research, 2012

2011
A Domain Specific Language for Interactive Enterprise Application Development.
Proceedings of the Web Information Systems and Mining - International Conference, 2011

Minimum Spanning Tree Hierarchically Fusing Multi-feature Points and High-Dimensional Features for Medical Image Registration.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

A Lightweight Component-Based Development Approach for Enterprise Applications.
Proceedings of the Workshop Proceedings of the 35th Annual IEEE International Computer Software and Applications Conference, 2011

Niche Improved Particle Swarm Optimization on Geometric Constraint Solving.
Proceedings of the 12th International Conference on Computer-Aided Design and Computer Graphics, 2011

2010
A Synchronization Algorithm of MRI Denoising and Contrast Enhancement Based on PM-CLAHE Model.
JDCTA, 2010

Minimum Spanning Tree Fusing Multi-salient Points Hierarchically for Multi-modality Image Registration.
Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

Product Line Engineering in Enterprise Applications.
Proceedings of the Software Product Lines: Going Beyond - 14th International Conference, 2010

A New Application of MEG and DTI on Word Recognition.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Platform Engineering in Enterprise Application Development.
Proceedings of the International Conference on E-Business and E-Government, 2010

Efficient link scheduling for TDMA based WMN using multi-objective genetic algorithm.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009
Learning Based Combining Different Features for Medical Image Retrieval.
Proceedings of the Fifth International Conference on Image and Graphics, 2009

Optimization of Resource Allocation in Multi-radio Multi-channel Wireless Mesh Networks.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009

A genetic approach to channel assignment for multi-radio multi-channel wireless mesh networks.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

Modeling and extending lifetime of wireless sensor networks using genetic algorithm.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

A Three-Dimensional Method for Detection of Pulmonary Nodule.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2007
Accurate Lung Segmentation For X-ray CT Images.
Proceedings of the Third International Conference on Natural Computation, 2007

2003
Manufacturing Grid: Needs, Concept, and Architecture.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

1996
Konzepte und Architektur teamorientierter Softwareprojekt-Managementsysteme.
PhD thesis, 1996


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