Dang Hung Tran

21 papers C 1Journal 5Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multimodal learning analytics model based on deep learning for predicting student performance using tabular and time-series data fusion.
Discov. Artif. Intell.
Uoc Tran Van, Binh Hoang Tieu, Dang Hung Tran
2025 J jnl
CFGANLDA: A Collaborative Filtering and Graph Attention Network-Based Method for Predicting Associations between lncRNAs and Diseases.
Comput. Mater. Continua
Dang Hung Tran, Van Tinh Nguyen
2023 — conf
Drug-Disease Association Prediction Through Multiple Integrated Similarities and Deep Learning.
KSE
Van Tinh Nguyen, Van Thien Nguyen, Thi Thanh Van Thai, Thi Thanh Hoa Duong, Dang Hung Tran
2021 — conf
An improved computational method for prediction of lncRNA-disease associations based on collaborative filtering and resource allocation.
KSE
Van Tinh Nguyen, Dang Hung Tran
2020 — conf
A new method on lncRNA-disease-miRNA tripartite graph to predict lncRNA-disease associations.
KSE
Van Tinh Nguyen, Thi Tu Kien Le, Dang Hung Tran
2020 J jnl
Stratifying patients using fast multiple kernel learning framework: case studies of Alzheimer's disease and cancers.
BMC Medical Informatics Decis. Mak.
Thanh Trung Giang, Thanh-Phuong Nguyen, Dang Hung Tran
2019 — conf
Prediction of Autism-Related Genes Using a New Clustering-Based Under-Sampling Method.
KSE
Xuan Tho Dang, Duong Hung Bui, Thi Hong Nguyen, Tran Quoc Vinh Nguyen, Dang Hung Tran
2018 — ed.
Integrated Uncertainty in Knowledge Modelling and Decision Making - 6th International Symposium, IUKM 2018, Hanoi, Vietnam, March 15-17, 2018, Proceedings
IUKM
Van-Nam Huynh, Masahiro Inuiguchi, Dang Hung Tran, Thierry Denoeux
2018 — conf
fMKL-DR: A Fast Multiple Kernel Learning Framework with Dimensionality Reduction.
IUKM
Thanh Trung Giang, Thanh-Phuong Nguyen, Tran Quoc Vinh Nguyen, Dang Hung Tran
2017 — conf
Stratifying cancer patients based on multiple kernel learning and dimensionality reduction.
KSE
Thanh Trung Giang, Thanh-Phuong Nguyen, Dang Hung Tran
2015 — conf
SPY: A Novel Resampling Method for Improving Classification Performance in Imbalanced Data.
KSE
Xuan Tho Dang, Dang Hung Tran, Osamu Hirose, Kenji Satou
2014 — ed.
Knowledge and Systems Engineering - Proceedings of the Fifth International Conference KSE 2013, Volume 2
KSE (2)
Van-Nam Huynh, Thierry Denoeux, Dang Hung Tran, Anh-Cuong Le, Son Bao Pham
2014 — ed.
Knowledge and Systems Engineering - Proceedings of the Fifth International Conference, KSE 2013, Volume 1, Hanoi, Vietnam, 17-19 October, 2013
KSE (1)
Van-Nam Huynh, Thierry Denoeux, Dang Hung Tran, Anh-Cuong Le, Son Bao Pham
2013 — conf
Erratum: Privacy Preserving Frequency-Based Learning Algorithms in Two-Part Partitioned Record Model.
KSE (2)
The Dung Luong, Dang Hung Tran
2013 — conf
Inference of Autism-Related Genes by Integrating Protein-Protein Interactions and miRNA-Target Interactions.
KSE (1)
Dang Hung Tran, Thanh-Phuong Nguyen, Laura Caberlotto, Corrado Priami
2013 — conf
Privacy Preserving Frequency-Based Learning Algorithms in Two-Part Partitioned Record Model.
KSE (2)
The Dung Luong, Dang Hung Tran
2012 — conf
Multivariate Mutual Information Measures for Discovering Biological Networks.
RIVF
Tho Hoan Pham, Tu Bao Ho, Quynh Diep Nguyen, Dang Hung Tran, Van Hoang Nguyen
2011 J jnl
MicroRNA Expression Profiles for Classification and Analysis of Tumor Samples.
IEICE Trans. Inf. Syst.
Dang Hung Tran, Tu Bao Ho, Tho Hoan Pham, Kenji Satou
2008 J jnl
Finding microRNA regulatory modules in human genome using rule induction.
BMC Bioinform.
Dang Hung Tran, Kenji Satou, Tu Bao Ho
2007 C conf
Prediction of Histone Modifications in DNA sequences.
BIBE
Tho Hoan Pham, Tu Bao Ho, Dang Hung Tran, Kenji Satou
2006 — conf
Conditional Random Fields for Predicting and Analyzing Histone Occupancy, Acetylation and Methylation Areas in DNA Sequences.
EvoWorkshops
Dang Hung Tran, Tho Hoan Pham, Kenji Satou, Tu Bao Ho