Huy Quang Pham

Orcid: 0000-0002-0231-229X

According to our database1, Huy Quang Pham authored at least 16 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
UIT-DarkCow team at ImageCLEFmedical Caption 2024: Diagnostic Captioning for Radiology Images Efficiency with Transformer Models.
CoRR, 2024

ViOCRVQA: Novel Benchmark Dataset and Vision Reader for Visual Question Answering by Understanding Vietnamese Text in Images.
CoRR, 2024

ViTextVQA: A Large-Scale Visual Question Answering Dataset for Evaluating Vietnamese Text Comprehension in Images.
CoRR, 2024

UIT-DarkCow team at ImageCLEFmedical Caption 2024: Diagnostic Captioning for Radiology Images Efficiency with Transformer Models.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023
MAT: Effective Link Prediction via Mutual Attention Transformer.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2020
Machine Learning Approaches for Breast Cancer Survivability Prediction.
PhD thesis, 2020

Feature Analysis for Imbalanced Learning.
J. Adv. Comput. Intell. Intell. Informatics, 2020

Structuring Element for Secure Reversible Watermarking.
Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2020

A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020

2019
Steerable Features for Resilient Image Watermark.
Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2019

A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2017
Outlier Genes as Biomarkers of Breast Cancer Survivability in Time-Series Data.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Predicting Breast Cancer Outcome under Different Treatments by Feature Selection Approaches.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning.
F1000Research, 2016

PAFS - An efficient method for classifier-specific feature selection.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A new feature selection approach for optimizing prediction models, applied to breast cancer subtype classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016


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