Meijing Li

According to our database1, Meijing Li authored at least 29 papers between 2010 and 2020.

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



In proceedings 
PhD thesis 




A Novel k-MPSO Clustering Algorithm for the Construction of Typical Driving Cycles.
IEEE Access, 2020

VAR-GRU: A Hybrid Model for Multivariate Financial Time Series Prediction.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction.
IEEE Access, 2019

Semantic-Emotion Neural Network for Emotion Recognition From Text.
IEEE Access, 2019

Performance Improvement of Open Source Based Business Intelligence System Using Database Modeling and Outlier Detection.
Proceedings of the Intelligent Information and Database Systems: Recent Developments, 2019

Application of a Mobile Chronic Disease Health-Care System for Hypertension Based on Big Data Platforms.
J. Sensors, 2018

A Dependency Graph-Based Keyphrase Extraction Method Using Anti-patterns.
J. Inf. Process. Syst., 2018

Face recognition technology development with Gabor, PCA and SVM methodology under illumination normalization condition.
Clust. Comput., 2018

Efficient Ensemble Methods for Classification on Clear Cell Renal Cell Carcinoma Clinical Dataset.
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

DeepEnergy: Prediction of Appliances Energy with Long-Short Term Memory Recurrent Neural Network.
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM.
CoRR, 2016

Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations.
J. Cheminformatics, 2015

Towards a Unified Named Entity Recognition System - Disease Mention Identification.
Proceedings of the BIOINFORMATICS 2015, 2015

Clustering of Web Users Based on Matrix of Influence Degree.
Proceedings of the 3rd International Conference on Applied Computing and Information Technology, 2015

MapReduce-based web mining for prediction of web-user navigation.
J. Inf. Sci., 2014

A Feature Selection-based Ensemble Method for Arrhythmia Classification.
J. Inf. Process. Syst., 2013

Assessment of Electromagnetic Frequency Sounding Problem in a Near Surface Geological Environment.
J. Adv. Comput. Intell. Intell. Informatics, 2013

A novel clustering method for animal trajectory analysis using Wireless Sensor Network.
Proceedings of the International Joint Conference on Awareness Science and Technology & Ubi-Media Computing, 2013

Trigger Learning and ECG Parameter Customization for Remote Cardiac Clinical Care Information System.
IEEE Trans. Inf. Technol. Biomed., 2012

An Active Co-Training Algorithm for Biomedical Named-Entity Recognition.
J. Inf. Process. Syst., 2012

An Application of Improved Gap-BIDE Algorithm for Discovering Access Patterns.
Appl. Comput. Intell. Soft Comput., 2012

A Self-training with Active Example Selection Criterion for Biomedical Named Entity Recognition.
Proceedings of the Convergence and Hybrid Information Technology, 2012

Prediction of protein disordered regions in a protein sequence based on gap-constraint subsequence patterns.
Proceedings of the 4th International Conference on Awareness Science and Technology, 2012

Prediction of Web User Behavior by Discovering Temporal Relational Rules from Web Log Data.
Proceedings of the Database and Expert Systems Applications, 2012

Bio Named Entity Recognition Based on Co-training Algorithm.
Proceedings of the 26th International Conference on Advanced Information Networking and Applications Workshops, 2012

A novel approach to mining access patterns.
Proceedings of the 3rd International Conference on Awareness Science and Technology, 2011

BFSM: Finite state machine learned as name boundary definer for bio named entity recognition.
Proceedings of the 3rd International Conference on Awareness Science and Technology, 2011

Protein function prediction using frequent patterns in protein-protein interaction networks.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Using Significant Classification Rules to Analyze Korean Customers' Power Consumption Behavior: Incremental Tree Induction using Cascading-and-Sharing Method.
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010