Minh Nguyen

Orcid: 0000-0003-4762-1798

Affiliations:
  • National University of Singapore, Clinical Imaging Research Center, Singapore


According to our database1, Minh Nguyen authored at least 24 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing.
CoRR, 2024

Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models.
CoRR, 2024

Knockout: A simple way to handle missing inputs.
CoRR, 2024

Robust Learning via Conditional Prevalence Adjustment.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Adapting to Shifting Correlations with Unlabeled Data Calibration.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Input.
CoRR, 2023

Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head.
CoRR, 2023

Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Zero-Shot Learning of Individualized Task Contrast Prediction from Resting-State Functional Connectomes.
Proceedings of the Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, 2023

2022
A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries.
Medical Image Anal., 2022

GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Studies.
CoRR, 2022

2021
Domain-Shift Conditioning Using Adaptable Filtering Via Hierarchical Embeddings for Robust Chinese Spell Check.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Text2Brain: Synthesis of Brain Activation Maps from Free-Form Text Query.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Explanations in Predictive Analytics: Case Studies.
Proceedings of the Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, 2020

Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin Using Recursive Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Predicting Alzheimer's disease progression using deep recurrent neural networks.
NeuroImage, 2020

Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.
NeuroImage, 2020

Adaptable Filtering using Hierarchical Embeddings for Chinese Spell Check.
CoRR, 2020

2019
Phonology-Augmented Statistical Framework for Machine Transliteration Using Limited Linguistic Resources.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Beyond consensus: Embracing heterogeneity in curated neuroimaging meta-analysis.
NeuroImage, 2019

Isolating the Effects of Modeling Recursive Structures: A Case Study in Pronunciation Prediction of Chinese Characters.
Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019

2018
Modeling Alzheimer's disease progression using deep recurrent neural networks.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

Multimodal neural pronunciation modeling for spoken languages with logographic origin.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Statistical Machine Transliteration Baselines for NEWS 2018.
Proceedings of the Seventh Named Entities Workshop, 2018


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