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We stand with Ukraine

Minh Ngoc Dinh

Orcid: 0000-0003-4026-6068

According to our database¹, Minh Ngoc Dinh authored at least 28 papers between 2009 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2022

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

[BibT_eX]

[DOI]

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TaeChoong Chung

,

Quang Dang Nguyen

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]

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

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

[BibT_eX]

[DOI]

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Cuong Tan Nguyen

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Proceedings of the Computational Science - ICCS 2022, 2022

2021

A Complete Text-Processing Pipeline for Business Performance Tracking.

[BibT_eX]

[DOI]

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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]

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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]

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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]

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,

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]

Tuan Minh Phung

,

,

Duy Pham Thien Dang

,

Hoang Minh Tu Van

,

Louise Thwaites

Proceedings of the Australasian Conference on Information Systems, 2020

2019

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

[BibT_eX]

[DOI]

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Bronis R. de Supinski

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

2018

Energy efficiency modeling of parallel applications.

[BibT_eX]

[DOI]

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Bronis R. de Supinski

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]

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Bronis R. de Supinski

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,

Elizabeth R. Jessup

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

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

[BibT_eX]

[DOI]

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Bronis R. de Supinski

Proceedings of the Parallel Computing is Everywhere, 2017

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

[BibT_eX]

[DOI]

Hoang Anh Nguyen

,

,

Tristan Roberts

,

Siddeswara Guru

,

,

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

2016

Runtime Verification of Scientific Computing: Towards an Extreme Scale.

[BibT_eX]

[DOI]

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Clinton L. Jeffery

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

Runtime Verification of Scientific Codes Using Statistics.

[BibT_eX]

[DOI]

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Proceedings of the International Conference on Computational Science 2016, 2016

2015

A data-centric framework for debugging highly parallel applications.

[BibT_eX]

[DOI]

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Andrew Gontarek

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Softw. Pract. Exp., 2015

Relative debugging for a highly parallel hybrid computer system.

[BibT_eX]

[DOI]

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Andrew Gontarek

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Proceedings of the International Conference for High Performance Computing, 2015

2014

Scalable Relative Debugging.

[BibT_eX]

[DOI]

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IEEE Trans. Parallel Distributed Syst., 2014

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

[BibT_eX]

[DOI]

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J. Comput. Sci., 2014

Supporting Relative Debugging for Large-scale UPC Programs.

[BibT_eX]

[DOI]

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,

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Andrew Gontarek

Proceedings of the International Conference on Computational Science, 2014

2012

Debugging Scientific Applications With Statistical Assertions.

[BibT_eX]

[DOI]

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Donny Kurniawan

,

Andrew Gontarek

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,

Proceedings of the International Conference on Computational Science, 2012

Scalable parallel debugging with statistical assertions.

[BibT_eX]

[DOI]

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Andrew Gontarek

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Proceedings of the 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2012

A Scalable Parallel Debugging Library with Pluggable Communication Protocols.

[BibT_eX]

[DOI]

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Andrew Gontarek

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Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

2011

Integrating Scientific Workflows and Large Tiled Display Walls: Bridging the Visualization Divide.

[BibT_eX]

[DOI]

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Blair Bethwaite

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A. B. M. Russel

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Martin Lackmann

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Proceedings of the 2011 International Conference on Parallel Processing Workshops, 2011

Assertion Based Parallel Debugging.

[BibT_eX]

[DOI]

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,

Donny Kurniawan

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,

,

Proceedings of the 11th IEEE/ACM International Symposium on Cluster, 2011

2010

An abstract virtual instrument system for high throughput automatic microscopy.

[BibT_eX]

[DOI]

A. B. M. Russel

,

,

Blair Bethwaite

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,

,

,

,

,

Martin Lackmann

,

,

Proceedings of the International Conference on Computational Science, 2010

Data centric highly parallel debugging.

[BibT_eX]

[DOI]

,

,

Donny Kurniawan

,

,

Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

2009

Virtual Microscopy and Analysis Using Scientific Workflows.

[BibT_eX]

[DOI]

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Blair Bethwaite

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,

,

,

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Martin Lackmann

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,

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A. B. M. Russel

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Proceedings of the Fifth International Conference on e-Science, 2009

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