Tham Vo
Orcid: 0000-0001-7291-4168
According to our database1,
Tham Vo authored at least 27 papers
between 2021 and 2026.
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Bibliography
2026
Real-time pill image recognition on edge devices with Adaptive Lightweight Attention.
J. Real Time Image Process., February, 2026
2025
Learnable decomposition meets the neuro-fuzzy learning for robust rich spatial-temporal feature representation learning and better stock price forecasting.
Soft Comput., October, 2025
A novel approach of multi-channel attention mechanism for long-sequential multivariate time-series prediction problem.
Soft Comput., January, 2025
An Efficient Denoising Transformer-Based Architecture for Long-Ranged Time-Series Air Quality Prediction.
Concurr. Comput. Pract. Exp., 2025
Adaptive Deep Fuzzy Neural Network With Multi-Headed Self-Attention for Improving Performance of Social Network Representation Learning and Link Prediction.
Concurr. Comput. Pract. Exp., 2025
2024
An Integrated Graph-of-Words with Tensor Graph Neural Network Learning Paradigm for Text Classification.
Cybern. Syst., July, 2024
An Integrated Dual Attention with Convolutional LSTM for Short-Term Temperature Forecasting.
Cybern. Syst., February, 2024
MSAD4GL: Low-Resource Text Embedding and Classification with Multi-scale Attention Diffusion for Graph Learning.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2024
Optimizing Customer Feedback Analysis with BERT-Based Sentiment Classification: A Case Study of Toyota Dong Sai Gon.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2024
2023
An integrated fuzzy neural supervision and attention-based graph neural network for improving network clustering.
Neural Comput. Appl., November, 2023
A novel deep fuzzy neural network semantic-enhanced method for automatic image captioning.
Soft Comput., October, 2023
An integrated topic modeling and auto-encoder for semantic-rich network embedding and news recommendation.
Neural Comput. Appl., September, 2023
A novel semantic-enhanced generative adversarial network for abstractive text summarization.
Soft Comput., May, 2023
A Novel Semantic-Enhanced Text Graph Representation Learning Approach through Transformer Paradigm.
Cybern. Syst., May, 2023
An approach of syntactical text graph representation learning for extractive summarization.
Int. J. Intell. Robotics Appl., March, 2023
An Integrated Topic Modelling and Graph Neural Network for Improving Cross-lingual Text Classification.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023
An enhancement of transformer-based architecture with randomized regularization for wind speed prediction.
J. Intell. Fuzzy Syst., 2023
An Integrated CNN with LSTM for Sentiment Analysis to Detect User Emotion from Comments on Social Networks.
ICO (2), 2023
Smart University: Solutions, Advantages, Challenges of Utilizing IoT in Smart Education Domain.
ICO (2), 2023
2022
An integrated network embedding with reinforcement learning for explainable recommendation.
Soft Comput., 2022
An integrated fuzzy neural network with topic-aware auto-encoding for sentiment analysis.
Soft Comput., 2022
Neural Process. Lett., 2022
GOWSeqStream: an integrated sequential embedding and graph-of-words for short text stream clustering.
Neural Comput. Appl., 2022
2021
SE4ExSum: An Integrated Semantic-aware Neural Approach with Graph Convolutional Network for Extractive Text Summarization.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021
SE4SA: a deep syntactical contextualized text representation learning approach for sentiment analysis.
J. Intell. Fuzzy Syst., 2021
GOW-Stream: A novel approach of graph-of-words based mixture model for semantic-enhanced text stream clustering.
Intell. Data Anal., 2021