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Thanh Hai Dang
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2020 – today
- 2024
- [j8]Thanh Hai Dang, Tien Anh Vu:
xCAPT5: protein-protein interaction prediction using deep and wide multi-kernel pooling convolutional neural networks with protein language model. BMC Bioinform. 25(1): 106 (2024) - [c5]Quynh-Trang Pham Thi
, Duc-Hung Nguyen, Thanh Hai Dang, Duc-Trong Le, Tri-Thanh Nguyen, Quang-Thuy Ha:
Towards Robust Continual Learning: A Multi-Head Approach with Online Prototype Equilibrium and Adaptive Prototypical Feedback. ACIIDS (2) 2024: 275-286 - 2023
- [j7]Thi-Phuong-Trang Pham
, Quang Huy Dao, Anh Duc Nguyen, Thanh Hai Dang
:
Document-Level Chemical-Induced Disease Semantic Relation Extraction Using Bidirectional Long Short-Term Memory on Dependency Graph. Int. J. Comput. Intell. Syst. 16(1): 131 (2023)
2010 – 2019
- 2018
- [j6]Thanh Hai Dang, Hoang-Quynh Le
, Trang M. Nguyen, Sinh T. Vu
:
D3NER: biomedical named entity recognition using CRF-biLSTM improved with fine-tuned embeddings of various linguistic information. Bioinform. 34(20): 3539-3546 (2018) - [c4]Hoang-Quynh Le, Duy-Cat Can, Sinh T. Vu, Thanh Hai Dang, Mohammad Taher Pilehvar, Nigel Collier:
Large-scale Exploration of Neural Relation Classification Architectures. EMNLP 2018: 2266-2277 - 2017
- [c3]Hoang-Quynh Le
, Duy-Cat Can
, Thanh Hai Dang, Mai-Vu Tran, Quang-Thuy Ha
, Nigel Collier:
Improving chemical-induced disease relation extraction with learned features based on convolutional neural network. KSE 2017: 292-297 - 2016
- [j5]Hoang-Quynh Le
, Mai-Vu Tran, Thanh Hai Dang, Quang-Thuy Ha
, Nigel Collier
:
Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction. Database J. Biol. Databases Curation 2016 (2016) - [j4]Hoang-Quynh Le, Mai-Vu Tran, Thanh Hai Dang, Quang-Thuy Ha
, Nigel Collier:
Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction. Database J. Biol. Databases Curation 2016 (2016) - 2013
- [c2]Thanh Hai Dang, Koen Smets, Walter Verbrugghe, Philippe Jorens, Tim Van den Bulcke:
Improving SAPS3-based Mortality Risk Prediction for ICU Patients using Random Forest Models: A Single-center Study. AMIA 2013 - 2012
- [c1]Dong Do Duc, Huy Q. Dinh, Thanh Hai Dang, Kris Laukens
, Huan Hoang Xuan:
AcoSeeD: An Ant Colony Optimization for Finding Optimal Spaced Seeds in Biological Sequence Search. ANTS 2012: 204-211 - 2011
- [j3]Pieter Meysman
, Thanh Hai Dang, Kris Laukens
, Riet De Smet, Yan Wu, Kathleen Marchal
, Kristof Engelen
:
Use of structural DNA properties for the prediction of transcription-factor binding sites in Escherichia coli. Nucleic Acids Res. 39(2): 6 (2011) - 2010
- [j2]Kris Laukens
, Jens Hollunder
, Thanh Hai Dang, Geert De Jaeger
, Martin Kuiper
, Erwin Witters, Alain Verschoren, Koenraad Van Leemput:
Flexible network reconstruction from relational databases with Cytoscape and CytoSQL. BMC Bioinform. 11: 360 (2010)
2000 – 2009
- 2008
- [j1]Thanh Hai Dang, Koenraad Van Leemput, Alain Verschoren, Kris Laukens
:
Prediction of kinase-specific phosphorylation sites using conditional random fields. Bioinform. 24(24): 2857-2864 (2008)
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last updated on 2024-08-05 20:18 CEST by the dblp team
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