Son T. Mai

Orcid: 0000-0002-9379-8335

According to our database1, Son T. Mai authored at least 37 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Dynamic weighted ensemble for diarrhoea incidence predictions.
Mach. Learn., April, 2024

Application of machine learning-based surrogate models for urban flood depth modeling in Ho Chi Minh City, Vietnam.
Appl. Soft Comput., January, 2024

2023
Learning to summarize multi-documents with local and global information.
Prog. Artif. Intell., September, 2023

Detecting rumours with latency guarantees using massive streaming data.
VLDB J., March, 2023

Streamflow Prediction in the Mekong River Basin Using Deep Neural Networks.
IEEE Access, 2023

An Intelligent Image Processing System for Enhancing Blood Vessel Segmentation on Low-Power SoC.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2023

A Rule-Based Ensemble Approach for Diarrhoea Outbreak Prediction.
Proceedings of the International Conference on Computing and Communication Technologies, 2023

Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Incremental Density-Based Clustering on Multicore Processors.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Diarrhoea incidence prediction using climate data: Machine Learning approaches.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

Dengue Fever: From Extreme Climates to Outbreak Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2022

Multi-spectral In-Vivo FPGA-Based Surgical Imaging.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2022

2021
Advanced Machine Learning Techniques for Predicting Nha Trang Shorelines.
IEEE Access, 2021

Spectrum-Sharing UAV-Assisted Mission-Critical Communication: Learning-Aided Real-Time Optimisation.
IEEE Access, 2021

2019
Scalable Interactive Dynamic Graph Clustering on Multicore CPUs.
IEEE Trans. Knowl. Data Eng., 2019

2018
Interactive Exploration of Subspace Clusters on Multicore Processors.
Trans. Large Scale Data Knowl. Centered Syst., 2018

Health Monitoring on Social Media over Time.
IEEE Trans. Knowl. Data Eng., 2018

Anytime parallel density-based clustering.
Data Min. Knowl. Discov., 2018

Evolutionary Active Constrained Clustering for Obstructive Sleep Apnea Analysis.
Data Sci. Eng., 2018

Scalable Active Temporal Constrained Clustering.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

Scalable Active Constrained Clustering for Temporal Data.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Scalable and Interactive Graph Clustering Algorithm on Multicore CPUs.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Interactive Exploration of Subspace Clusters for High Dimensional Data.
Proceedings of the Database and Expert Systems Applications, 2017

2016
AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Anytime OPTICS: An Efficient Approach for Hierarchical Density-Based Clustering.
Proceedings of the Database Systems for Advanced Applications, 2016

2015
Anytime density-based clustering of complex data.
Knowl. Inf. Syst., 2015

A New Method to Encode the At-Most-One Constraint into SAT.
Proceedings of the Sixth International Symposium on Information and Communication Technology, 2015

2014
Density-based algorithms for active and anytime clustering.
PhD thesis, 2014

Solving the all-interval series problem: SAT vs CP.
Proceedings of the Fifth Symposium on Information and Communication Technology, 2014

Relevant overlapping subspace clusters on categorical data.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Efficient Anytime Density-based Clustering.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Active Density-Based Clustering.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms.
Adv. Artif. Neural Syst., 2012

A Similarity Model and Segmentation Algorithm for White Matter Fiber Tracts.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2010
Some Novel Heuristics for Finding the Most Unusual Time Series Subsequences.
Proceedings of the Advances in Intelligent Information and Database Systems, 2010

EWAT+: Finding Time Series Discords Based on New Discord Measure Functions.
Proceedings of the 2010 IEEE RIVF International Conference on Computing & Communication Technologies, 2010


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