Tham Vo

Orcid: 0000-0001-7291-4168

According to our database1, Tham Vo authored at least 16 papers between 2021 and 2024.

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Bibliography

2024
An Integrated Dual Attention with Convolutional LSTM for Short-Term Temperature Forecasting.
Cybern. Syst., February, 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

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

SynSeq4ED: A Novel Event-Aware Text Representation Learning for Event Detection.
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


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