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ORCIDHuy Quang Pham
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2020 – today
- 2025
[j3]Huy Quang Pham, Quan Van Nguyen, Dan Quang Tran, Thang Kien-Bao Nguyen, Kiet Van Nguyen
:
Top 2 at ALQAC 2024: Large Language Models (LLMs) for Legal Question Answering. Int. J. Asian Lang. Process. 35(1): 2450010:1-2450010:14 (2025)- [j2]Huy Quang Pham, Thang Kien-Bao Nguyen, Quan Van Nguyen, Dan Quang Tran, Nghia Hieu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
ViOCRVQA: novel benchmark dataset and VisionReader for visual question answering by understanding Vietnamese text in images. Multim. Syst. 31(2): 106 (2025) - 2024
- [c10]Quan Van Nguyen, Huy Quang Pham, Dan Quang Tran, Thang Kien-Bao Nguyen, Nhat-Hao Nguyen-Dang, Thien B. Nguyen-Tat:
UIT-DarkCow team at ImageCLEFmedical Caption 2024: Diagnostic Captioning for Radiology Images Efficiency with Transformer Models. CLEF (Working Notes) 2024: 1695-1710 - [i4]Quan Van Nguyen, Dan Quang Tran, Huy Quang Pham, Thang Kien-Bao Nguyen, Nghia Hieu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
ViTextVQA: A Large-Scale Visual Question Answering Dataset for Evaluating Vietnamese Text Comprehension in Images. CoRR abs/2404.10652 (2024) - [i3]Huy Quang Pham, Thang Kien-Bao Nguyen, Quan Van Nguyen, Dan Quang Tran, Nghia Hieu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
ViOCRVQA: Novel Benchmark Dataset and Vision Reader for Visual Question Answering by Understanding Vietnamese Text in Images. CoRR abs/2404.18397 (2024) - [i2]Quan Van Nguyen, Huy Quang Pham, Dan Quang Tran, Thang Kien-Bao Nguyen, Nhat-Hao Nguyen-Dang, Bao-Thien Nguyen-Tat:
UIT-DarkCow team at ImageCLEFmedical Caption 2024: Diagnostic Captioning for Radiology Images Efficiency with Transformer Models. CoRR abs/2405.17002 (2024) - 2023
- [c9]Quan Van Nguyen, Huy Quang Pham, Dan Quang Tran, Thang Kien-Bao Nguyen, Nghia Hieu Nguyen:
MAT: Effective Link Prediction via Mutual Attention Transformer. DSAA 2023: 1-4 - 2020
- [b1]Huy Quang Pham:
Machine Learning Approaches for Breast Cancer Survivability Prediction. University of Windsor, Ontario, Canada, 2020 - [j1]Dao Nam Anh, Duong Hung Bui, Huy Quang Pham, Xuan Tho Dang:
Feature Analysis for Imbalanced Learning. J. Adv. Comput. Intell. Intell. Informatics 24(5): 648-655 (2020) - [c8]Huy Quang Pham, Luis Rueda, Alioune Ngom:
A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability. IWBBIO 2020: 49-60 - [c7]Dao Nam Anh, Huy Quang Pham:
Structuring Element for Secure Reversible Watermarking. MAPR 2020: 1-6
2010 – 2019
- 2019
- [c6]Huy Quang Pham, Jurko Guba, Mousa Gawanmeh, Lisa A. Porter, Alioune Ngom:
A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability. BCB 2019: 639-644 - [c5]Dao Nam Anh, Huy Quang Pham, Doan Thi Huong Giang:
Steerable Features for Resilient Image Watermark. MAPR 2019: 1-6 - 2017
- [c4]Naveen Mangalakumar, Abed Alkhateeb, Huy Quang Pham, Luis Rueda, Alioune Ngom:
Outlier Genes as Biomarkers of Breast Cancer Survivability in Time-Series Data. BCB 2017: 594 - [c3]Huy Quang Pham, Luis Rueda, Alioune Ngom:
Predicting Breast Cancer Outcome under Different Treatments by Feature Selection Approaches. BCB 2017: 617 - 2016
- [c2]Huy Quang Pham, Alioune Ngom, Luis Rueda:
A new feature selection approach for optimizing prediction models, applied to breast cancer subtype classification. BIBM 2016: 1535-1541 - [c1]Huy Quang Pham, Alioune Ngom, Luis Rueda:
PAFS - An efficient method for classifier-specific feature selection. SSCI 2016: 1-8 - [i1]Iman Rezaeian, Eliseos J. Mucaki, Katherina Baranova, Huy Quang Pham, Dimo Angelov, Alioune Ngom, Luis Rueda, Peter K. Rogan:
Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning. F1000Research 5: 2124 (2016)
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last updated on 2025-04-03 01:24 CEST by the dblp team
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