Tianrui Li
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Computer Science
Tianrui Li's Degrees
- Bachelors Computer Science Peking University
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(Suggest an Edit or Addition)Tianrui Li's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Forecasting Fine-Grained Air Quality Based on Big Data (2015) (344)
- Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks (2017) (289)
- A rough sets based characteristic relation approach for dynamic attribute generalization in data mining (2007) (288)
- b-SPECS+: Batch Verification for Secure Pseudonymous Authentication in VANET (2013) (208)
- Deep Distributed Fusion Network for Air Quality Prediction (2018) (207)
- Three-way Investment Decisions with Decision-theoretic Rough Sets (2011) (192)
- Incorporating logistic regression to decision-theoretic rough sets for classifications (2014) (186)
- Multivariate time series forecasting via attention-based encoder-decoder framework (2020) (172)
- Composite rough sets for dynamic data mining (2014) (171)
- Enhancing Security and Privacy for Identity-Based Batch Verification Scheme in VANETs (2017) (168)
- Probabilistic model criteria with decision-theoretic rough sets (2011) (163)
- A fuzzy rough set approach for incremental feature selection on hybrid information systems (2015) (162)
- Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems (2012) (157)
- An efficient certificateless aggregate signature with conditional privacy-preserving for vehicular sensor networks (2015) (154)
- A Rough-Set-Based Incremental Approach for Updating Approximations under Dynamic Maintenance Environments (2013) (148)
- A Decision-Theoretic Rough Set Approach for Dynamic Data Mining (2015) (146)
- Deep Air Quality Forecasting Using Hybrid Deep Learning Framework (2018) (137)
- Neighborhood rough sets for dynamic data mining (2012) (127)
- A parallel method for computing rough set approximations (2012) (125)
- Urban big data fusion based on deep learning: An overview (2020) (117)
- Updating three-way decisions in incomplete multi-scale information systems (2019) (114)
- THREE-WAY GOVERNMENT DECISION ANALYSIS WITH DECISION-THEORETIC ROUGH SETS (2012) (109)
- A multitask multiview clustering algorithm in heterogeneous situations based on LLE and LE (2019) (107)
- Urban flows prediction from spatial-temporal data using machine learning: A survey (2019) (107)
- ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data (2016) (105)
- Incremental updating approximations in dominance-based rough sets approach under the variation of the attribute set (2013) (104)
- A unified model of sequential three-way decisions and multilevel incremental processing (2017) (103)
- A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning (2018) (103)
- Parallel attribute reduction in dominance-based neighborhood rough set (2016) (101)
- A Multiple-category Classification Approach with Decision-theoretic Rough Sets (2012) (98)
- Incremental approaches for updating approximations in set-valued ordered information systems (2013) (97)
- A rough set based dynamic maintenance approach for approximations in coarsening and refining attribute values (2010) (96)
- An Incremental Approach for Inducing Knowledge from Dynamic Information Systems (2009) (96)
- Feature selection for imbalanced data based on neighborhood rough sets (2019) (92)
- Dynamic maintenance of approximations in set-valued ordered decision systems under the attribute generalization (2014) (87)
- Maintenance of approximations in incomplete ordered decision systems while attribute values coarsening or refining (2012) (87)
- A Rough Set-Based Method for Updating Decision Rules on Attribute Values’ Coarsening and Refining (2014) (86)
- Decision region distribution preservation reduction in decision-theoretic rough set model (2014) (86)
- An incremental attribute reduction approach based on knowledge granularity with a multi-granulation view (2017) (85)
- A comparison of parallel large-scale knowledge acquisition using rough set theory on different MapReduce runtime systems (2014) (84)
- A sequential three-way approach to multi-class decision (2019) (84)
- A Parallel Matrix-Based Method for Computing Approximations in Incomplete Information Systems (2015) (83)
- A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems (2014) (82)
- Matrix-based dynamic updating rough fuzzy approximations for data mining (2017) (80)
- Multi-source information fusion based on rough set theory: A review (2021) (78)
- Incremental learning optimization on knowledge discovery in dynamic business intelligent systems (2011) (78)
- A unified framework of dynamic three-way probabilistic rough sets (2017) (78)
- Incremental updating approximations in probabilistic rough sets under the variation of attributes (2015) (78)
- Incremental update of approximations in dominance-based rough sets approach under the variation of attribute values (2015) (78)
- Matrix approach to decision-theoretic rough sets for evolving data (2016) (77)
- Reversible steganography using extended image interpolation technique (2015) (77)
- Dynamic Maintenance of Approximations in Dominance‐Based Rough Set Approach under the Variation of the Object Set (2013) (75)
- Fast algorithms for computing rough approximations in set-valued decision systems while updating criteria values (2015) (74)
- DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction (2019) (73)
- Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting (2018) (70)
- Incremental rough set approach for hierarchical multicriteria classification (2018) (70)
- A temporal-spatial composite sequential approach of three-way granular computing (2019) (65)
- A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization (2016) (63)
- Advances in three-way decisions and granular computing (2016) (61)
- Hierarchical cluster ensemble model based on knowledge granulation (2016) (61)
- A blind image copyright protection scheme for e-government (2013) (60)
- Dynamic variable precision rough set approach for probabilistic set-valued information systems (2017) (60)
- Multi-view Clustering via Concept Factorization with Local Manifold Regularization (2016) (60)
- Traffic flow forecasting based on hybrid deep learning framework (2017) (59)
- A vague-rough set approach for uncertain knowledge acquisition (2011) (57)
- An incremental attribute reduction approach based on knowledge granularity under the attribute generalization (2016) (57)
- Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values (2017) (56)
- CMC: A consensus multi-view clustering model for predicting Alzheimer's disease progression (2020) (56)
- Identification of Nonlinear Dynamic System Using a Novel Recurrent Wavelet Neural Network Based on the Pipelined Architecture (2014) (55)
- Incremental updating of rough approximations in interval-valued information systems under attribute generalization (2016) (54)
- Efficient parallel boolean matrix based algorithms for computing composite rough set approximations (2016) (52)
- Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation (2018) (51)
- Parallel rough set based knowledge acquisition using MapReduce from big data (2012) (50)
- Urban sensing based on human mobility (2016) (50)
- Incremental fuzzy cluster ensemble learning based on rough set theory (2017) (49)
- An incremental approach for attribute reduction based on knowledge granularity (2016) (48)
- Three-way decisions: beyond rough sets and granular computing (2020) (47)
- Using Sorted Switching Median Filter to remove high-density impulse noises (2013) (47)
- Consensus clustering based on constrained self-organizing map and improved Cop-Kmeans ensemble in intelligent decision support systems (2012) (46)
- Dynamic probabilistic rough sets with incomplete data (2017) (45)
- Efficient updating rough approximations with multi-dimensional variation of ordered data (2016) (45)
- An incremental attribute reduction method for dynamic data mining (2018) (45)
- Spectral co-clustering ensemble (2015) (44)
- Incremental fuzzy probabilistic rough sets over two universes (2017) (44)
- Dynamic dominance rough set approach for processing composite ordered data (2020) (43)
- Energy efficiency of VM consolidation in IaaS clouds (2017) (41)
- An evidential analysis of Altman Z-score for financial predictions: Case study on solar energy companies (2017) (40)
- SimRank: A Page Rank approach based on similarity measure (2010) (38)
- Dynamic Fusion of Multisource Interval-Valued Data by Fuzzy Granulation (2018) (38)
- A review on crowd simulation and modeling (2020) (38)
- Semi-supervised hierarchical clustering ensemble and its application (2016) (37)
- Adaptive Extended Pipelined Second-Order Volterra Filter for Nonlinear Active Noise Controller (2012) (37)
- Deep embedding clustering based on contractive autoencoder (2021) (37)
- Three-Way Decisions in Dynamic Decision-Theoretic Rough Sets (2013) (37)
- An extended process model of knowledge discovery in database (2004) (36)
- Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions (2021) (35)
- A multilevel neighborhood sequential decision approach of three-way granular computing (2020) (34)
- Efficient updating of probabilistic approximations with incremental objects (2016) (34)
- Contrast in Haze Removal: Configurable Contrast Enhancement Model Based on Dark Channel Prior (2019) (33)
- Learning features from High Speed Train vibration signals with Deep Belief Networks (2014) (32)
- M2M: A simple Matlab-to-MapReduce translator for cloud computing (2013) (32)
- Parallel computing of approximations in dominance-based rough sets approach (2015) (32)
- Domain-wise approaches for updating approximations with multi-dimensional variation of ordered information systems (2019) (30)
- Adaptive RSOV filter using the FELMS algorithm for nonlinear active noise control systems (2013) (30)
- Hyper-ellipsoidal clustering technique for evolving data stream (2014) (30)
- A Combined-Learning Based Framework for Improved Software Fault Prediction (2017) (30)
- Time Series Forecasting Using Sequence-to-Sequence Deep Learning Framework (2018) (30)
- Spatio-temporal feature fusion for dynamic taxi route recommendation via deep reinforcement learning (2020) (29)
- A hybrid system of neural networks and rough sets for road safety performance indicators (2010) (29)
- Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection (2020) (29)
- Parallel Sequential Pattern Mining of Massive Trajectory Data (2010) (29)
- Dynamic Maintenance of Decision Rules with Rough Set Under Characteristic Relation (2007) (28)
- A novel hybrid feature selection method considering feature interaction in neighborhood rough set (2021) (28)
- Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints (2017) (28)
- PICKT: A Solution for Big Data Analysis (2015) (28)
- Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations (2020) (28)
- Unsupervised attribute reduction for mixed data based on fuzzy rough sets (2021) (28)
- Multi-view clustering via deep concept factorization (2021) (27)
- Fat node leading tree for data stream clustering with density peaks (2017) (27)
- Convolutional networks with cross-layer neurons for image recognition (2018) (27)
- Multi-view low rank sparse representation method for three-way clustering (2021) (26)
- A novel quantum grasshopper optimization algorithm for feature selection (2020) (26)
- A factor graph model for unsupervised feature selection (2019) (26)
- Learning with Noisy Labels for Sentence-level Sentiment Classification (2019) (26)
- Incremental approaches for heterogeneous feature selection in dynamic ordered data (2020) (26)
- An Advanced k Nearest Neighbor Classification Algorithm Based on KD-tree (2018) (25)
- Pipelined functional link artificial recurrent neural network with the decision feedback structure for nonlinear channel equalization (2011) (25)
- A low cost fragile watermarking scheme in H.264/AVC compressed domain (2014) (24)
- Multi-view data clustering via non-negative matrix factorization with manifold regularization (2021) (24)
- An improved MOEA/D algorithm for multi-objective multicast routing with network coding (2017) (24)
- A Deep Reinforcement Learning-Enabled Dynamic Redeployment System for Mobile Ambulances (2019) (24)
- Predicting and ranking box office revenue of movies based on big data (2020) (23)
- A novel approach for efficient updating approximations in dynamic ordered information systems (2020) (23)
- Fault analysis of High Speed Train with DBN hierarchical ensemble (2016) (23)
- Linear discriminant analysis guided by unsupervised ensemble learning (2019) (23)
- Reconstruction of Hidden Representation for Robust Feature Extraction (2017) (23)
- Complex-valued pipelined decision feedback recurrent neural network for non-linear channel equalisation (2012) (23)
- Neighborhood rough sets with distance metric learning for feature selection (2021) (23)
- A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE (2019) (23)
- An efficient algorithm for the Single-Source Shortest Path Problem in graph theory (2008) (22)
- Incremental three-way neighborhood approach for dynamic incomplete hybrid data (2020) (22)
- Update of approximations in composite information systems (2015) (22)
- Multiple-Category Classification with Decision-Theoretic Rough Sets (2010) (22)
- Local temporal-spatial multi-granularity learning for sequential three-way granular computing (2020) (22)
- GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis (2020) (21)
- Ensembles based combined learning for improved software fault prediction: A comparative study (2017) (21)
- An Iterative Locally Auto-Weighted Least Squares Method for Microarray Missing Value Estimation (2017) (21)
- Bayesian image segmentation fusion (2014) (21)
- Dynamic interaction feature selection based on fuzzy rough set (2021) (21)
- Local-Density-Based Optimal Granulation and Manifold Information Granule Description (2018) (21)
- Fairness and Accuracy in Federated Learning (2020) (21)
- A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data (2021) (20)
- An approach for inducing interesting incremental knowledge based on the change of attribute values (2009) (20)
- Enhancing software defect prediction using supervised-learning based framework (2017) (20)
- TW-Co-MFC: Two-level weighted collaborative fuzzy clustering based on maximum entropy for multi-view data (2021) (19)
- Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations (2019) (19)
- Granular cabin: An efficient solution to neighborhood learning in big data (2021) (19)
- Decision-Theoretic Rough Sets with Probabilistic Distribution (2012) (19)
- Methods and Practices of Three-Way Decisions for Complex Problem Solving (2015) (19)
- Three-Way Decisions in Stochastic Decision-Theoretic Rough Sets (2014) (19)
- A Group Incremental Reduction Algorithm with Varying Data Values (2017) (18)
- Incremental Feature Selection Using a Conditional Entropy Based on Fuzzy Dominance Neighborhood Rough Sets (2021) (18)
- Semi-supervised evolutionary ensembles for Web video categorization (2015) (18)
- Self-paced and soft-weighted nonnegative matrix factorization for data representation (2019) (18)
- Alleviating Users' Pain of Waiting: Effective Task Grouping for Online-to-Offline Food Delivery Services (2019) (18)
- A Novel Role-based Access Control Model in Cloud Environments (2016) (18)
- Nonnegative matrix factorization for clustering ensemble based on dark knowledge (2019) (17)
- Nonlinear adaptive filter-based simplified bilinear model for multichannel active control of nonlinear noise processes (2013) (17)
- Composite Rough Sets (2012) (17)
- An Improved Cop-Kmeans Clustering for Solving Constraint Violation Based on MapReduce Framework (2013) (17)
- Hybrid Missing Value Imputation Algorithms Using Fuzzy C-Means and Vaguely Quantified Rough Set (2021) (17)
- A new blockmodeling based hierarchical clustering algorithm for web social networks (2012) (17)
- Intrusion detection system based on new association rule mining model (2005) (16)
- Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set (2021) (16)
- PLAR: Parallel Large-Scale Attribute Reduction on Cloud Systems (2013) (15)
- A New Discriminant Analysis Approach under Decision-Theoretic Rough Sets (2011) (15)
- A novel real-time scheduling algorithm and performance analysis of a MapReduce-based cloud (2014) (15)
- Mixed data-driven sequential three-way decision via subjective-objective dynamic fusion (2021) (14)
- An incremental algorithm for mining classification rules in incomplete information systems (2004) (14)
- Dynamic Maintenance of Approximations Under a Rough-set Based Variable Precision Limited Tolerance Relation (2012) (14)
- Deep Multi-task Learning for Air Quality Prediction (2018) (14)
- Application of Empirical Mode Decomposition and Fuzzy Entropy to High-Speed Rail Fault Diagnosis (2014) (14)
- Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data (2021) (14)
- AMG-DTRS: Adaptive multi-granulation decision-theoretic rough sets (2021) (14)
- Parallel Semi-Supervised Multi-Ant Colonies Clustering Ensemble Based on MapReduce Methodology (2018) (13)
- Scheduling real-time workflow on MapReduce-based cloud (2013) (13)
- Generative Adversarial Networks for Road Crack Image Segmentation (2019) (13)
- Fairness and accuracy in horizontal federated learning (2021) (13)
- A stable community detection approach for complex network based on density peak clustering and label propagation (2021) (12)
- Temporal-spatial three-way granular computing for dynamic text sentiment classification (2022) (12)
- Fuzzy interval decision-theoretic rough sets (2013) (12)
- Nonlinear Adaptive Equalizer Using a Pipelined Decision Feedback Recurrent Neural Network in Communication Systems (2010) (12)
- Incremental attribute reduction approaches for ordered data with time-evolving objects (2020) (11)
- Double-local rough sets for efficient data mining (2021) (11)
- Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures (2021) (11)
- Dynamic Maintenance of Three-Way Decision Rules (2014) (11)
- An Incremental Learning Approach for Updating Approximations in Rough Set Model over Dual Universes (2015) (11)
- A novel community detection method based on whale optimization algorithm with evolutionary population (2020) (11)
- A GENERALIZED ROUGH SET APPROACH TO ATTRIBUTE GENERALIZATION IN DATA MINING (2000) (11)
- AN PROBABILISTIC ROUGH SET APPROACH FOR INCREMENTAL LEARNING KNOWLEDGE ON THE CHANGE OF ATTRIBUTES (2010) (11)
- Semi-supervised feature selection with minimal redundancy based on local adaptive (2021) (10)
- Secure Convertible Undeniable Signature Scheme Using Extended Euclidean Algorithm without Random Oracles (2013) (10)
- Constraint projections for semi-supervised affinity propagation (2012) (10)
- An incremental updating principle for computing approximations in information systems while the object set varies with time (2009) (10)
- Incremental Three-Way Decisions with Incomplete Information (2014) (10)
- Semi-supervised Clustering Ensemble for Web Video Categorization (2013) (10)
- Efficient Suspected Infected Crowds Detection Based on Spatio-Temporal Trajectories (2020) (10)
- Matrix representation of the conditional entropy for incremental feature selection on multi-source data (2022) (10)
- Construction of Decision Trees based Entropy and Rough Sets under Tolerance Relation (2007) (10)
- An approach for incremental updating approximations in Variable precision rough sets while attribute generalized (2010) (9)
- An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability (2021) (9)
- TA-STAN: A Deep Spatial-Temporal Attention Learning Framework for Regional Traffic Accident Risk Prediction (2019) (9)
- A New Weighting Approach Based on Rough Set Theory and Granular Computing for Road Safety Indicator Analysis (2016) (9)
- Incremental Maintenance of Rough Fuzzy Set Approximations under the Variation of Object Set (2014) (9)
- Dynamic maintenance of rough approximations in multi-source hybrid information systems (2020) (9)
- A novel joint-processing adaptive nonlinear equalizer using a modular recurrent neural network for chaotic communication systems (2011) (9)
- Sequential Pattern Mining (2005) (9)
- Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction (2015) (9)
- Research on the approach of dynamically maintenance of approximations in rough set theory while attribute values coarsening and refining (2009) (8)
- A special issue on new trends in Intelligent Decision Support Systems (2012) (8)
- A Parallel Implementation of Computing Composite Rough Set Approximations on GPUs (2013) (8)
- A Probabilistic Measure for Quantitative Evaluation of Image Segmentation (2013) (8)
- Incremental rough reduction with stable attribute group (2022) (8)
- Multi-view document clustering based on geometrical similarity measurement (2021) (8)
- Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving (2021) (8)
- Study on Reduct and Core Computation in Incompatible Information Systems (2004) (8)
- Tri-regularized nonnegative matrix tri-factorization for co-clustering (2021) (8)
- Efficient composing rough approximations for distributed data (2019) (7)
- Unsupervised feature selection via self-paced learning and low-redundant regularization (2021) (7)
- A Three-Stage Based Ensemble Learning for Improved Software Fault Prediction: An Empirical Comparative Study (2018) (7)
- Adaptive Graph-based Generalized Regression Model for Unsupervised Feature Selection (2020) (7)
- A New Decision Tree Construction Using the Cloud Transform and Rough Sets (2008) (6)
- Foundations and Applications of Intelligent Systems (2014) (6)
- Approaches for incrementally updating approximations based on set-valued information systems while attribute values' coarsening and refining (2009) (6)
- An Incremental Approach for Rule Induction under Coarsening and Refining of Attribute Values in E-Business Systems (2010) (6)
- Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM (2018) (6)
- Identification of nonlinear dynamic systems using convex combinations of multiple adaptive radius basis function networks (2013) (6)
- An Empirical Study for Enhanced Software Defect Prediction Using a Learning-Based Framework (2018) (6)
- A unified incremental updating framework of attribute reduction for two-dimensionally time-evolving data (2022) (6)
- Social web video clustering based on multi-view clustering via nonnegative matrix factorization (2019) (6)
- Knowledge Engineering and Management (2014) (6)
- An integrated approach towards modeling ranked weights (2020) (6)
- Hierarchical Fuzzy Rough Approximations With Three-Way Multigranularity Learning (2021) (6)
- Practical Applications of Intelligent Systems (2012) (6)
- Uncertainty and Equivalence Relation Analysis for Hesitant Fuzzy–Rough Sets and Their Applications in Classification (2019) (6)
- An LSTM based Encoder-Decoder Model for MultiStep Traffic Flow Prediction (2019) (6)
- Three-way multi-granularity learning towards open topic classification (2021) (5)
- Particle Subswarms Collaborative Clustering (2019) (5)
- R2CI: Information theoretic-guided feature selection with multiple correlations (2022) (5)
- Distributional Discrepancy: A Metric for Unconditional Text Generation (2020) (5)
- A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information (2022) (5)
- A Learning-Based Framework for Supervised and Unsupervised Image Segmentation Evaluation (2014) (5)
- Three-Stream Convolutional Networks for Video-based Person Re-Identification (2017) (5)
- Deep matrix factorization with knowledge transfer for lifelong clustering and semi-supervised clustering (2021) (5)
- VPRS-Based Knowledge Discovery Approach in Incomplete Information System (2010) (5)
- A Method for Incremental Updating Approximations Based on Variable Precision Set-Valued Ordered Information Systems (2010) (5)
- SMOTEFRIS-INFFC: Handling the challenge of borderline and noisy examples in imbalanced learning for software defect prediction (2020) (5)
- Weighted Multi-View Data Clustering via Joint Non-Negative Matrix Factorization (2019) (5)
- Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization (2022) (5)
- Preface: Intelligent Techniques for Data Science (2015) (5)
- Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction (2021) (5)
- APPROACHES TO INCREMENTAL LEARNING KNOWLEDGE BASED ON THE CHANGES OF ATTRIBUTES' VALUES (2009) (5)
- A noise-aware fuzzy rough set approach for feature selection (2022) (5)
- Equalisation of non-linear time-varying channels using a pipelined decision feedback recurrent neural network filter in wireless communication systems (2011) (5)
- Explore Uncertainty in Residual Networks for Crowds Flow Prediction (2018) (5)
- Multigranulation Relative Entropy-Based Mixed Attribute Outlier Detection in Neighborhood Systems (2022) (4)
- A novel feature selection method based on maximum likelihood logistic regression for imbalanced learning in software defect prediction (2020) (4)
- Modification of the BWM and MABAC method for MAGDM based on q-rung orthopair fuzzy rough numbers (2021) (4)
- Fusion of Measures for Image Segmentation Evaluation (2019) (4)
- WebScore: An Effective Page Scoring Approach for Uncertain Web Social Networks (2011) (4)
- A Parallel Matrix-Based Approach for Computing Approximations in Dominance-Based Rough Sets Approach (2014) (4)
- Spark Rough Hypercuboid Approach for Scalable Feature Selection (2023) (4)
- An Approach for Attribute Weights Acquisition based on Rough Sets Theory and Information Gain (2007) (4)
- A Parallel Method for Unpacking Original High Speed Rail Data Based on MapReduce (2011) (4)
- Feature selection via minimizing global redundancy for imbalanced data (2021) (4)
- Biased unconstrained non-negative matrix factorization for clustering (2021) (4)
- Approximation Operators, Binary Relation and Basis Algebra in L-fuzzy Rough Sets (2011) (4)
- Social Web Videos Clustering Based on Ensemble Technique (2016) (4)
- Rule-based fuzzy classifier based on quantum ant optimization algorithm (2015) (4)
- Graph regularized sparse non-negative matrix factorization for clustering (2020) (4)
- A PARALLEL APPROACH FOR COMPUTING APPROXIMATIONS OF DOMINANCE-BASED ROUGH SETS APPROACH (2014) (4)
- You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users (2020) (4)
- Bayes-enhanced Lifelong Attention Networks for Sentiment Classification (2020) (4)
- LaPOLeaF: Label propagation in an optimal leading forest (2021) (4)
- Pavement Crack Detection Based on the Improved Faster-RCNN (2019) (4)
- Diverse activation functions in deep learning (2017) (4)
- Decision Tree Construction based on Rough Set Theory under Characteristic Relation (2007) (4)
- Adaptive non-linear filter using a modular polynomial perceptron (2010) (4)
- Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding (2021) (4)
- An Incremental Approach for Updating Approximations Based on Set-Valued Ordered Information Systems (2012) (4)
- Approaches for Updating Approximations in Set-Valued Information Systems While Objects and Attributes Vary with Time (2013) (3)
- Semi-supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization (2013) (3)
- Probabilistic Composite Rough Set and Attribute Reduction (2014) (3)
- A novel hierarchical feature selection method based on large margin nearest neighbor learning (2022) (3)
- Region-based image segmentation evaluation via perceptual pooling strategies (2018) (3)
- A New Hypernetwork Model Based on Matrix Operation (2015) (3)
- A Novel Deep Learning Network Architecture with Cross-Layer Neurons (2016) (3)
- Intelligent Decision Making Systems: Proceedings of the 4th International ISKE Conference Hasselt, Belgium 27-28 November 2009 (2009) (3)
- A CREDIT EVALUATION IN E-BUSINESS THROUGH GAME THEORY (2007) (3)
- A rough set based hybrid approach for classification (2018) (3)
- Extended Probabilistic Rough Sets Under a Strict Dominance Relation (2014) (3)
- T-copula and Wasserstein distance-based stochastic neighbor embedding (2022) (3)
- Exploring interactive attribute reduction via fuzzy complementary entropy for unlabeled mixed data (2022) (3)
- Software fault prediction using data reduction approaches (2018) (3)
- Deep Belief Networks Oriented Clustering (2015) (3)
- An Improved PSO Algorithm for Community Detection (2015) (3)
- The Basis Algebra in L-Fuzzy Rough Sets (2009) (3)
- An incremental approach for updating approximations of rough fuzzy set under the variation of attribute values (2013) (3)
- Social web video clustering based on multi-modal and clustering ensemble (2019) (3)
- A Data Fusion-Based Framework for Image Segmentation Evaluation (2016) (2)
- Proceedings of the 7th international conference on Rough Sets and Knowledge Technology (2006) (2)
- Theoretical foundations of sequential patterns (2004) (2)
- Shape Constraint and Multi-feature Fusion Particle Filter for Facial Feature Point Tracking (2013) (2)
- Concept-Enhanced Multi-view Clustering of Document Data (2019) (2)
- TW-Co-MFC: Two-Level Weighted Collaborative Multi-view Fuzzy Clustering Based on Maximum Entropy (2019) (2)
- Automatic Proofreading in Chinese: Detect and Correct Spelling Errors in Character-Level with Deep Neural Networks (2019) (2)
- Semi-Supervised Density Peaks Clustering Based on Constraint Projection (2020) (2)
- An Incremental Feature Selection Approach Based on Information Entropy for Incomplete Data (2019) (2)
- An approach for incremental maintenance of approximations in set-valued ordered decision systems while updating criteria values (2013) (2)
- Multi-label feature selection based on manifold regularization and imbalance ratio (2022) (2)
- A Fuzzy Rough Set Approach for Incrementally Updating Approximations in Hybrid Information Systems (2013) (2)
- Supplier Selection Based on Rough Sets and Analytic Hierarchy Process (2010) (2)
- AN INCREMENTAL APPROACH FOR UPDATING APPROXIMATIONS IN DOMINANCE-BASED ROUGH SETS (2010) (2)
- Dynamic Maintenance of Rough Fuzzy Approximations with the Variation of Objects and Attributes (2015) (2)
- Composite rough sets for dynamic data mining q (2015) (2)
- TraSS: Efficient Trajectory Similarity Search Based on Key-Value Data Stores (2022) (2)
- Rough Sets and Knowledge Technology ( RSKT 2010 ) (2012) (2)
- Rough Sets and Knowledge Technology: 7th International Conference, RSKT 2012, Chengdu, China, August 17-20, 2012 (2012) (2)
- Dynamic Updating Rough Approximations in Distributed Information Systems (2015) (2)
- Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering (2018) (2)
- A Learning-Based Framework for Image Segmentation Evaluation (2013) (2)
- AN INCREMENTAL UPDATING METHOD FOR APPROXIMATIONS IN INCOMPLETE ORDERED DECISION SYSTEM (2010) (2)
- A trajectory feature extraction approach based on spatial coding technique (2017) (2)
- Incremental fuzzy probabilistic rough sets over dual universes (2015) (2)
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- Integrating Rough Sets with Neural Networks for Weighting Road Safety Performance Indicators (2009) (1)
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