| Trust-Consensus Multiplex Networks by Combining Trust Social Network Analysis and Consensus Evolution Methods in Group Decision-Making | 0 | 0.34 | 2022 |
| HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease | 0 | 0.34 | 2022 |
| Dynamic bayesian network-based fault diagnosis for ASHRAE guideline 36: high performance sequence of operation for HVAC systems | 0 | 0.34 | 2021 |
| Small Blob Detector Using Bi-Threshold Constrained Adaptive Scales | 0 | 0.34 | 2021 |
| A Glucose-Insulin Mixture Model and Application to Short-Term Hypoglycemia Prediction in the Night Time | 0 | 0.34 | 2021 |
| Gaussian Mixture Model With Feature Selection: An Embedded Approach | 3 | 0.38 | 2021 |
| Learning–interaction–diversification framework for swarm intelligence optimizers: a unified perspective | 3 | 0.37 | 2020 |
| Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis. | 3 | 0.37 | 2020 |
| ENTRNA: a framework to predict RNA foldability. | 0 | 0.34 | 2019 |
| A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging. | 1 | 0.36 | 2019 |
| Integration of biological and statistical models toward personalized radiation therapy of cancer | 0 | 0.34 | 2019 |
| ADMultiImg: a novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imaging data. | 0 | 0.34 | 2018 |
| SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis. | 6 | 0.60 | 2018 |
| Coevolutionary Structure-Redesigned-Based Bacterial Foraging Optimization. | 1 | 0.36 | 2018 |
| Computer-aided classification of breast masses using contrast-enhanced digital mammograms. | 0 | 0.34 | 2018 |
| Diagnosis on Mild Cognitive Impairment Patients for Alzheimer Disease with Missing Data | 1 | 0.34 | 2017 |
| Efficient Small Blob Detection based on Local Convexity, Intensity and Shape Information | 2 | 0.40 | 2016 |
| A recommendation system for meta-modeling: A meta-learning based approach | 7 | 0.47 | 2016 |
| Computational efficient Variational Bayesian Gaussian Mixture Models via Coreset | 0 | 0.34 | 2016 |
| K Nearest Gaussian-A model fusion based framework for imbalanced classification with noisy dataset. | 1 | 0.34 | 2015 |
| Augmenting cost-SVM with gaussian mixture models for imbalanced classification. | 2 | 0.36 | 2015 |
| Small blob identification in medical images using regional features from optimum scale. | 8 | 0.58 | 2015 |
| A novel Hessian based algorithm for rat kidney glomerulus detection in 3D MRI. | 0 | 0.34 | 2015 |
| An augmented multi-objective particle swarm optimizer for building cluster operation decisions. | 3 | 0.43 | 2014 |
| An intelligent decomposition of pairwise comparison matrices for large-scale decisions. | 6 | 0.45 | 2014 |
| A stochastic AHP decision making methodology for imprecise preferences. | 6 | 0.46 | 2014 |
| Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms. | 13 | 1.31 | 2014 |
| Accuracy vs. robustness: Bi-criteria optimized ensemble of metamodels | 0 | 0.34 | 2014 |
| Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method | 2 | 0.42 | 2014 |
| Pilot study: Evaluation of dual-energy computed tomography measurement strategies for positron emission tomography correlation in pancreatic adenocarcinoma. | 0 | 0.34 | 2014 |
| Fuzzy clustering based ET image fusion. | 3 | 0.38 | 2013 |
| An Adaptive Particle Swarm Optimization With Multiple Adaptive Methods | 67 | 1.54 | 2013 |
| A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data | 16 | 0.75 | 2013 |
| An intelligent augmentation of particle swarm optimization with multiple adaptive methods | 39 | 1.17 | 2012 |
| Clustering mechanism for electric tomography imaging | 4 | 0.83 | 2012 |
| Decentralized operation strategies for an integrated building energy system using a memetic algorithm. | 11 | 0.92 | 2012 |
| An automated DICOM database capable of arbitrary data mining (including radiation dose indicators) for quality monitoring. | 8 | 0.76 | 2011 |
| Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease | 13 | 0.89 | 2011 |
| Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network | 8 | 0.47 | 2011 |
| Design of centralized Ambulance Diversion policies using Simulation-Optimization | 4 | 0.51 | 2011 |
| Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis. | 6 | 0.50 | 2011 |
| Automatic monitoring of localized skin dose with fluoroscopic and interventional procedures. | 0 | 0.34 | 2011 |
| Bi-criteria analysis of ambulance diversion policies | 2 | 0.52 | 2010 |
| A new separation measure for improving the effectiveness of validity indices | 15 | 0.75 | 2010 |
| Dampster-Shafer evidence theory based multi-characteristics fusion for clustering evaluation | 1 | 0.37 | 2010 |
| Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data | 27 | 1.55 | 2009 |
| Petri net translation patterns for the analysis of ebusiness collaboration messaging protocols | 10 | 0.77 | 2009 |
| Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation | 25 | 1.65 | 2009 |
| Analysis of ambulance diversion policies for a large-size hospital | 3 | 0.53 | 2009 |
| Heterogeneous data fusion for alzheimer's disease study | 60 | 2.93 | 2008 |
