Neighborhood rough set-based multi-attribute prediction approach and its application of gout patients

Improved Motor Outcome Prediction in Parkinson’s Disease Applying Deep Learning to DaTscan SPECT Images

(2021) Matthew P. Adams et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A new secondary decomposition-ensemble approach with cuckoo search optimization for air cargo forecasting

(2020) Hongtao Li et al.   APPLIED SOFT COMPUTING

Therapeutic approaches in the treatment of gout

(2020) Michael H. Pillinger et al.   SEMINARS IN ARTHRITIS AND RHEUMATISM

Predicting COVID-19 in China Using Hybrid AI Model

(2020) Nanning Zheng et al.   IEEE Transactions on Cybernetics

A new prediction strategy combining T-S fuzzy nonlinear regression prediction and multi-step prediction for dynamic multi-objective optimization

(2020) Feng Zou et al.   Swarm and Evolutionary Computation

A generic energy prediction model of machine tools using deep learning algorithms

(2020) Yan He et al.   APPLIED ENERGY

Neighborhood rough set-based three-way clustering considering attribute correlations: An approach to classification of potential gout groups

(2020) Xiaoli Chu et al.   INFORMATION SCIENCES

BWM and MULTIMOORA-based multigranulation sequential three-way decision model for multi-attribute group decision-making problem

(2020) Ying Wang et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Forecasting the prevalence of COVID-19 outbreak in Egypt using nonlinear autoregressive artificial neural networks

(2020) Amal I. Saba et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Ensemble of kernel extreme learning machine based random forest classifiers for automatic heartbeat classification

(2020) Ping Yang et al.   Biomedical Signal Processing and Control

Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction

(2020) Branimir Ljubic et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A novel filter feature selection method using rough set for short text data

(2020) Rasim Cekik et al.   EXPERT SYSTEMS WITH APPLICATIONS

Mean–variance portfolio optimization using machine learning-based stock price prediction

(2020) Wei Chen et al.   APPLIED SOFT COMPUTING

Prediction of service life of large centrifugal compressor remanufactured impeller based on clustering rough set and fuzzy Bandelet neural network

(2019) Bin zhao et al.   APPLIED SOFT COMPUTING

Measuring the complexity of complex network by Tsallis entropy

(2019) Tao Wen et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Multivariate Variational Mode Decomposition

(2019) Naveed ur Rehman et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

A novel secondary decomposition learning paradigm with kernel extreme learning machine for multi-step forecasting of container throughput

(2019) Hongtao Li et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Diversified binary relation-based fuzzy multigranulation rough set over two universes and application to multiple attribute group decision making

(2019) Bingzhen Sun et al.   Information Fusion

A modified variational mode decomposition method based on envelope nesting and multi-criteria evaluation

(2019) Yujie Zhao et al.   JOURNAL OF SOUND AND VIBRATION

Variable precision rough set based unsupervised band selection technique for hyperspectral image classification

(2019) Barnali Barman et al.   KNOWLEDGE-BASED SYSTEMS

Improving decision making approaches based on fuzzy soft sets and rough soft sets

(2018) Yaya Liu et al.   APPLIED SOFT COMPUTING

Ensemble empirical mode decomposition based adaptive wavelet neural network method for wind speed prediction

(2018) Madasthu Santhosh et al.   ENERGY CONVERSION AND MANAGEMENT

Local neighborhood rough set

(2018) Qi Wang et al.   KNOWLEDGE-BASED SYSTEMS

A modified Elman neural network with a new learning rate scheme

(2018) Guanghua Ren et al.   NEUROCOMPUTING

Hybrid extreme learning machine approach for homogeneous neural networks

(2018) Vasileios Christou et al.   NEUROCOMPUTING

Diagnosis and Treatment of Gout and Pseudogout for Everyday Practice

(2018) Anthony Sidari et al.   PRIMARY CARE

Hybrid Reasoning-based Privacy-Aware Disease Prediction Support System

(2018) Malathi D. et al.   COMPUTERS & ELECTRICAL ENGINEERING

On rule acquisition in incomplete multi-scale decision tables

(2017) Wei-Zhi Wu et al.   INFORMATION SCIENCES

A multiple-valued logic approach for multigranulation rough set model

(2017) Yanhong She et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Inclusion measure-based multi-granulation intuitionistic fuzzy decision-theoretic rough sets and their application to ISSA

(2017) Bing Huang et al.   KNOWLEDGE-BASED SYSTEMS

Multigranulation fuzzy rough set over two universes and its application to decision making

(2017) Bingzhen Sun et al.   KNOWLEDGE-BASED SYSTEMS

Hybrid multi-granulation rough sets of variable precision based on tolerance

(2016) He Lin et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Recursive reduced kernel based extreme learning machine for aero-engine fault pattern recognition

(2016) Cheng-Xin You et al.   NEUROCOMPUTING

An improved attribute reduction scheme with covering based rough sets

(2015) Changzhong Wang et al.   APPLIED SOFT COMPUTING

Rough approximation of a preference relation by multi-decision dominance for a multi-agent conflict analysis problem

(2015) Bingzhen Sun et al.   INFORMATION SCIENCES

Rising burden of gout in the UK but continuing suboptimal management: a nationwide population study

(2014) Chang-Fu Kuo et al.   ANNALS OF THE RHEUMATIC DISEASES

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

(2014) Guang-Bin Huang   Cognitive Computation

Composite rough sets for dynamic data mining

(2013) Junbo Zhang et al.   INFORMATION SCIENCES

Probabilistic rough set over two universes and rough entropy

(2012) Weimin Ma et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Theory and applications of granular labelled partitions in multi-scale decision tables

(2011) Wei-Zhi Wu et al.   INFORMATION SCIENCES

Fuzzy rough set model on two different universes and its application

(2010) Bingzhen Sun et al.   APPLIED MATHEMATICAL MODELLING

Neighborhood rough set based heterogeneous feature subset selection

(2008) Qinghua Hu et al.   INFORMATION SCIENCES

Probabilistic rough set approximations

(2007) Yiyu Yao   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Neighborhood classifiers

(2006) Q HU et al.   EXPERT SYSTEMS WITH APPLICATIONS