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Bui Thi Mai Anh
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2020 – today
- 2024
- [c18]Bui Quoc Trung, Vuong Hoang Minh, Nguyen Thi Hoai Linh, Bui Thi Mai Anh:
A Novel Dynamic Programming Method for Non-parametric Data Discretization. ACIIDS (1) 2024: 215-227 - [c17]Duc Anh Le, Bui Thi Mai Anh, Phuong T. Nguyen, Davide Di Ruscio:
Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking. ESEM 2024: 212-222 - 2023
- [c16]Bui Quoc Trung, Duong Viet Anh, Bui Thi Mai Anh:
A Novel Meta-heuristic Search Based on Mutual Information for Filter-Based Feature Selection. ACIIDS (1) 2023: 395-407 - [c15]Bui Thi Mai Anh, Nguyen Nhat Hai:
A Novel Relevance Aggregation Approach for Bug Localization. RIVF 2023: 579-584 - [c14]Bui Thi Mai Anh, Nguyen Nhat Hai:
On the Value of Code Embedding and Imbalanced Learning Approaches for Software Defect Prediction. SoICT 2023: 510-516 - 2022
- [c13]A. Yvan Guifo Fodjo, Mikal Ziane, Serge Stinckwich, Bui Thi Mai Anh, Samuel Bowong:
Separation of Concerns in Extended Epidemiological Compartmental Models. BIOINFORMATICS 2022: 152-159 - [c12]Bui Quoc Trung, Le Minh Duc, Bui Thi Mai Anh:
A Hybrid Approach Based on Genetic Algorithm with Ranking Aggregation for Feature Selection. IEA/AIE 2022: 226-239 - [c11]Bui Thi Mai Anh, Nguyen Thi Thu Trang, Tran Thi Dinh:
A Novel Type-Based Genetic Algorithm for Extractive Summarization. IEA/AIE 2022: 240-252 - [c10]Bui Thi Mai Anh, Duong Viet Anh, Bui Quoc Trung:
A Filter Approach Based on Binary Integer Programming for Feature Selection. RIVF 2022: 677-682 - [c9]Anh Ho, Nguyen Nhat Hai, Bui Thi Mai Anh:
Combining Deep Learning and Kernel PCA for Software Defect Prediction. SoICT 2022: 360-367 - [c8]Bui Quoc Trung, Tran Van Tri, Bui Thi Mai Anh:
Empirical Analysis of Filter Feature Selection Criteria on Financial Datasets. SoICT 2022: 413-419 - 2021
- [c7]Bui Thi Mai Anh, Nguyen Viet Luyen:
An Imbalanced Deep Learning Model for Bug Localization. APSEC Workshops 2021: 32-40 - [c6]Bui Thi Mai Anh, Nguyen Thi Thu Trang, Tran Thi Dinh, Nguyen Thi Hoai:
A Hybrid PSO-GA for Extractive Text Summarization. PACLIC 2021: 757-766 - 2020
- [c5]Bui Thi Mai Anh:
Enhanced Genetic Algorithm for Automatic Generation of Unit and Integration Test Suite. RIVF 2020: 1-6
2010 – 2019
- 2019
- [j2]Bui Thi Mai Anh, Nick Papoulias, Serge Stinckwich, Mikal Ziane, Benjamin Roche:
The Kendrick modelling platform: language abstractions and tools for epidemiology. BMC Bioinform. 20(1): 312:1-312:13 (2019) - [j1]Bui Thi Mai Anh, Nick Papoulias, Serge Stinckwich, Mikal Ziane, Benjamin Roche:
Correction to: The Kendrick modelling platform: language abstractions and tools for epidemiology. BMC Bioinform. 20(1): 439:1-439:2 (2019) - [c4]Bui Thi Mai Anh, Nguyen Tra My, Nguyen Thi Thu Trang:
Enhanced Genetic Algorithm for Single Document Extractive Summarization. SoICT 2019: 370-376 - 2016
- [b1]Bui Thi Mai Anh:
Séparation des préoccupations en épidémiologie. (Separation of concerns in epidemiology). Pierre and Marie Curie University, Paris, France, 2016 - [c3]Bui Thi Mai Anh, Mikal Ziane, Serge Stinckwich, Tuong-Vinh Ho, Benjamin Roche, Nick Papoulias:
Separation of concerns in epidemiological modelling. MODULARITY (Companion) 2016: 196-200 - [c2]Bui Thi Mai Anh, Nick Papoulias, Mikal Ziane, Serge Stinckwich:
Explicit Composition Constructs in DSLs: The case of the epidemiological language KENDRICK. IWST 2016: 20 - 2015
- [c1]Bui Thi Mai Anh, Serge Stinckwich, Mikal Ziane, Benjamin Roche, Hô Tuòng Vinh:
KENDRICK: A Domain Specific Language and platform for mathematical epidemiological modelling. RIVF 2015: 132-137
Coauthor Index
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last updated on 2024-10-23 20:30 CEST by the dblp team
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