Binh Tran

32 papers A 3B 3Misc 3Journal 12Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Towards online genetic programming approach to dynamic flexible job shop scheduling.
Genet. Program. Evolvable Mach.
Su Nguyen, Binh Tran, Xuan Nam Ngo, Duy Thinh Tran
2025 A conf
An Online Genetic Programming Approach to Dynamic Production Scheduling.
GECCO
Binh Tran, Su Nguyen
2025 — conf
Clustering-Based Meta Bayesian Optimization with Theoretical Guarantee.
PAKDD (3)
Khoa Nguyen, Viet Huynh, Binh Tran, Tri Pham, Tin Huynh, Thin Nguyen
2025 J jnl
Clustering-based Meta Bayesian Optimization with Theoretical Guarantee.
CoRR
Khoa Nguyen, Viet Huynh, Binh Tran, Tri Pham, Tin Huynh, Thin Nguyen
2024 Misc conf
Desynchronization Attack on URAP: Ultralightweight RFID Authentication Protocol.
FIT
Umar Mujahid Khokhar, Wardah Nisar, Binh Tran, Madiha Khalid, Muhammad Najam-ul-Islam
2024 A conf
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams.
GECCO
Pivithuru Thejan Amarasinghe, Diem Pham, Binh Tran, Su Nguyen, Yuan Sun, Damminda Alahakoon
2024 J jnl
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams.
CoRR
Pivithuru Thejan Amarasinghe, Diem Pham, Binh Tran, Su Nguyen, Yuan Sun, Damminda Alahakoon
2024 J jnl
Fairness optimisation with multi-objective swarms for explainable classifiers on data streams.
Complex Intell. Syst.
Diem Pham, Binh Tran, Su Nguyen, Damminda Alahakoon, Mengjie Zhang
2024 — conf
PCNet: Accurate Surgical Workflow Recognition with Phase Consistency.
EMBC
Binh Tran, Dana Kulic, Simon M. Harrison, Charles H. C. Pilgrim, Elahe Abdi
2023 — conf
A Comparative Study of Computational Methods for Multimodal Single-Cell Data Integration.
MAPR
Binh Tran, Tri Pham, Tin Huynh, Kiem Hoang
2023 J jnl
Building interpretable predictive models with context-aware evolutionary learning.
Appl. Soft Comput.
Binh Tran, Chamika Sudusinghe, Su Nguyen, Damminda Alahakoon
2022 Misc conf
Fairness Aware Swarm-based Machine Learning for Data Streams.
AI
Diem Pham, Binh Tran, Su Nguyen, Damminda Alahakoon
2022 — conf
Hybrid Neural Networks for Electroencephalography Motor Imaging Classification.
IMCOM
Nhan Trinh, Duc M. Duong, Binh Tran, Hoai Su
2022 J jnl
XMAP: eXplainable mapping analytical process.
Complex Intell. Syst.
Su Nguyen, Binh Tran
2020 B conf
Dynamic Self-Organising Swarm for Unsupervised Prototype Generation.
CEC
Su Nguyen, Binh Tran, Damminda Alahakoon
2020 J jnl
Swarm-Based Machine Learning Algorithm for Building Interpretable Classifiers.
IEEE Access
Diem Pham, Binh Tran, Su Nguyen, Damminda Alahakoon
2019 A conf
Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification.
GECCO
Binh Tran, Bing Xue, Mengjie Zhang
2019 Misc conf
Fundamentals of Ethical Hacking and Penetration Testing.
SIGITE
Umar Mujahid Khokhar, Binh Tran
2019 J jnl
Genetic programming for multiple-feature construction on high-dimensional classification.
Pattern Recognit.
Binh Tran, Bing Xue, Mengjie Zhang
2019 J jnl
Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification.
IEEE Trans. Evol. Comput.
Binh Tran, Bing Xue, Mengjie Zhang
2018 J jnl
A New Representation in PSO for Discretization-Based Feature Selection.
IEEE Trans. Cybern.
Binh Tran, Bing Xue, Mengjie Zhang
2018 — —
Evolutionary Computation for Feature Manipulation in Classification on High-dimensional Data.
Binh Tran
2017 — conf
Automatic Feature Construction for Network Intrusion Detection.
SEAL
Binh Tran, Stjepan Picek, Bing Xue
2017 — conf
Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data.
Australasian Conference on Artificial Intelligence
Binh Tran, Bing Xue, Mengjie Zhang
2017 B conf
Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data.
EuroGP
Binh Tran, Bing Xue, Mengjie Zhang
2016 B conf
A PSO based hybrid feature selection algorithm for high-dimensional classification.
CEC
Binh Tran, Mengjie Zhang, Bing Xue
2016 — conf
Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features for High-Dimensional Classification.
EvoApplications (1)
Binh Tran, Bing Xue, Mengjie Zhang
2016 J jnl
Genetic programming for feature construction and selection in classification on high-dimensional data.
Memetic Comput.
Binh Tran, Bing Xue, Mengjie Zhang
2016 J jnl
Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias.
Connect. Sci.
Binh Tran, Bing Xue, Mengjie Zhang, Su Nguyen
2016 — conf
Multiple feature construction in classification on high-dimensional data using GP.
SSCI
Binh Tran, Mengjie Zhang, Bing Xue
2014 — conf
Improved PSO for Feature Selection on High-Dimensional Datasets.
SEAL
Binh Tran, Bing Xue, Mengjie Zhang
2014 — conf
Overview of Particle Swarm Optimisation for Feature Selection in Classification.
SEAL
Binh Tran, Bing Xue, Mengjie Zhang