Huy Quang Pham

According to our database, Huy Quang Pham authored at least 12 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

MAT: Effective Link Prediction via Mutual Attention Transformer.

Quan Van Nguyen, Huy Quang Pham, Dan Quang Tran, Thang Kien-Bao Nguyen, Nghia Hieu Nguyen

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2020

Machine Learning Approaches for Breast Cancer Survivability Prediction.

Huy Quang Pham

PhD thesis, 2020

Feature Analysis for Imbalanced Learning.

Dao Nam Anh, Duong Hung Bui, Huy Quang Pham, Xuan Tho Dang

J. Adv. Comput. Intell. Intell. Informatics, 2020

Structuring Element for Secure Reversible Watermarking.

Dao Nam Anh, Huy Quang Pham

Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2020

A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability.

Huy Quang Pham, Luis Rueda, Alioune Ngom

Proceedings of the Bioinformatics and Biomedical Engineering, 2020

2019

Steerable Features for Resilient Image Watermark.

Dao Nam Anh, Huy Quang Pham, Doan Thi Huong Giang

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.

Huy Quang Pham, Jurko Guba, Mousa Gawanmeh, Lisa A. Porter, Alioune Ngom

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2017

Outlier Genes as Biomarkers of Breast Cancer Survivability in Time-Series Data.

Naveen Mangalakumar, Abed Alkhateeb, Huy Quang Pham, Luis Rueda, Alioune Ngom

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Predicting Breast Cancer Outcome under Different Treatments by Feature Selection Approaches.

Huy Quang Pham, Luis Rueda, Alioune Ngom

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.

Iman Rezaeian, Eliseos J. Mucaki, Katherina Baranova, Huy Quang Pham, Dimo Angelov, Alioune Ngom, Luis Rueda, Peter K. Rogan

F1000Research, 2016

PAFS - An efficient method for classifier-specific feature selection.

Huy Quang Pham, Alioune Ngom, Luis Rueda

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.

Huy Quang Pham, Alioune Ngom, Luis Rueda

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016