activity
20202022
collaborators

6 papers

cs.LG2022

An Efficient Video Streaming Architecture with QoS Control for Virtual Desktop Infrastructure in Cloud Computing

Huu-Quoc Nguyen, Tien-Dung Nguyen, Van-Nam Pham +3

In virtual desktop infrastructure (VDI) environments, the remote display protocol has a big responsibility to transmit video data from a data center-hosted desktop to the endpoint.…

cs.LG2021

Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning

Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial +1

Machine learning (ML) pipeline composition and optimisation have been studied to seek multi-stage ML models, i.e. preprocessor-inclusive, that are both valid and well-performing. T…

cs.LG2021

Incremental Search Space Construction for Machine Learning Pipeline Synthesis

Marc-André Zöller, Tien-Dung Nguyen, Marco F. Huber

Automated machine learning (AutoML) aims for constructing machine learning (ML) pipelines automatically. Many studies have investigated efficient methods for algorithm selection an…

cs.LG2020

AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation

Tien-Dung Nguyen, Bogdan Gabrys, Katarzyna Musial

Automated machine learning pipeline (ML) composition and optimisation aim at automating the process of finding the most promising ML pipelines within allocated resources (i.e., tim…

cs.LG2020

Improving The Performance Of The K-means Algorithm

Tien-Dung Nguyen

The Incremental K-means (IKM), an improved version of K-means (KM), was introduced to improve the clustering quality of KM significantly. However, the speed of IKM is slower than K…

cs.LG2020

AVATAR -- Machine Learning Pipeline Evaluation Using Surrogate Model

Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial +2

The evaluation of machine learning (ML) pipelines is essential during automatic ML pipeline composition and optimisation. The previous methods such as Bayesian-based and genetic-ba…