Minh Ngoc Dinh

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2022

Discussion on complexity and accuracy of high-performance concrete's compressive strength deep learning models.

[BibT_eX]

[DOI]

Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

Abstractive summarization of public opinion in Vietnamese using graph-based method.

[BibT_eX]

[DOI]

An Quang Tang

Ngoc Minh La

Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022

Phase-Field Modelling of Brittle Fracture Using Time-Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2022, 2022

2021

A Complete Text-Processing Pipeline for Business Performance Tracking.

[BibT_eX]

[DOI]

Khanh Dinh Dang

Proceedings of the Australasian Conference on Information Systems, 2021

2020

Predicting Phase-field Behavior of Brittle Fracture Model based on LSTM Time Series Forecasting Model.

[BibT_eX]

[DOI]

Chien Trung Vo

Eric Dimla

Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020

Measurements of errors in large-scale computational simulations at runtime.

[BibT_eX]

[DOI]

Quang Minh Nguyen

Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020

Tracking scientific simulation using online time-series modelling.

[BibT_eX]

[DOI]

Chien Trung Vo

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

A Machine Learning-based Approach to Vietnamese Handwritten Medical Record Recognition.

[BibT_eX]

[DOI]

Proceedings of the Australasian Conference on Information Systems, 2020

2019

Statistical and machine learning models for optimizing energy in parallel applications.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Appl., 2019

2018

Energy efficiency modeling of parallel applications.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2018

2017

A survey on software methods to improve the energy efficiency of parallel computing.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Appl., 2017

A Bottleneck-Centric Tuning Policy for Optimizing Energy in Parallel Programs.

[BibT_eX]

[DOI]

Proceedings of the Parallel Computing is Everywhere, 2017

A Computational Pipeline for the IUCN Risk Assessment for Meso-American Reef Ecosystem.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016

Runtime Verification of Scientific Computing: Towards an Extreme Scale.

[BibT_eX]

[DOI]

Proceedings of the 5th Workshop on Extreme-Scale Programming Tools, 2016

Runtime Verification of Scientific Codes Using Statistics.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science 2016, 2016

2015

A data-centric framework for debugging highly parallel applications.

[BibT_eX]

[DOI]

Softw. Pract. Exp., 2015

Relative debugging for a highly parallel hybrid computer system.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2015

2014

Scalable Relative Debugging.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2014

Statistical assertion: A more powerful method for debugging scientific applications.

[BibT_eX]

[DOI]