Meijing Li
Orcid: 0000-0003-3931-7905
According to our database1,
Meijing Li
authored at least 33 papers
between 2010 and 2025.
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Bibliography
2025
MST-ARGCN: modality-squeeze transformer with attentional recurrent graph capsule network for multimodal sentiment analysis.
J. Supercomput., January, 2025
2023
Proceedings of the 7th International Conference on High Performance Compilation, 2023
2022
Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting.
IEEE Access, 2022
2020
Wafer map defect pattern classification based on convolutional neural network features and error-correcting output codes.
J. Intell. Manuf., 2020
IEEE Access, 2020
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020
2019
Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction.
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
2018
Application of a Mobile Chronic Disease Health-Care System for Hypertension Based on Big Data Platforms.
J. Sensors, 2018
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
2016
DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM.
CoRR, 2016
2015
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
Proceedings of the 3rd International Conference on Applied Computing and Information Technology, 2015
2014
2013
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
2012
Trigger Learning and ECG Parameter Customization for Remote Cardiac Clinical Care Information System.
IEEE Trans. Inf. Technol. Biomed., 2012
J. Inf. Process. Syst., 2012
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
Proceedings of the 26th International Conference on Advanced Information Networking and Applications Workshops, 2012
2011
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
2010
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