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DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

Advances in Knowledge Discovery and Data Mining, p.30-41

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Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter

IEEE transactions on signal processing, 2014-12, Vol.62 (24), p.6554-6567

2014

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Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)

Journal of biomedical informatics, 2015-04, Vol.54, p.96-105

2015

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Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Journal of medical Internet research, 2016-12, Vol.18 (12), p.e323-e323

2016

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An effective spatial-temporal attention based neural network for traffic flow prediction

Transportation research. Part C, Emerging technologies, 2019-11, Vol.108, p.12-28

2019

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Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Journal of medical Internet research, 2016-12, Vol.18 (12), p.e323

2016

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VulExplainer: A Transformer-based Hierarchical Distillation for Explaining Vulnerability Types

IEEE transactions on software engineering, 2023-10, Vol.49 (10), p.1-17

2023

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Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso

Journal of biomedical informatics, 2015-02, Vol.53, p.277-290

2015

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Improving kernel online learning with a snapshot memory

Machine learning, 2022-03, Vol.111 (3), p.997-1018

2022

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Affective and Content Analysis of Online Depression Communities

IEEE transactions on affective computing, 2014-07, Vol.5 (3), p.217-226

2014

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Collaborative filtering via sparse Markov random fields

Information sciences, 2016-11, Vol.369, p.221-237

2016

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Detection of bovine leukemia virus in beef cattle kept in the Central Coast Regions of Vietnam

Journal of Veterinary Medical Science, 2023, Vol.85(1), pp.111-116

2023

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Robust Variational Learning for Multiclass Kernel Models With Stein Refinement

IEEE transactions on knowledge and data engineering, 2022-09, Vol.34 (9), p.4425-4438

2022

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Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records

Knowledge-based systems, 2016-05, Vol.99, p.168-182

2016

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LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment

Knowledge-based systems, 2018-12, Vol.161, p.313-328

2018

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A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare

IEEE journal of biomedical and health informatics, 2017-07, Vol.21 (4), p.1182-1191

2017

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Multiple task transfer learning with small sample sizes

Knowledge and information systems, 2016-02, Vol.46 (2), p.315-342

2016

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Briquetting of sugarcane bagasse as a proper waste management technology in Vietnam

Waste management & research, 2020-11, Vol.38 (11), p.1239-1250

2020

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Mixed-norm sparse representation for multi view face recognition

Pattern recognition, 2015-09, Vol.48 (9), p.2935-2946

2015

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Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification

ACM transactions on intelligent systems and technology, 2020-04, Vol.11 (2), p.1-15

2020

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Streaming clustering with Bayesian nonparametric models

Neurocomputing (Amsterdam), 2017-10, Vol.258, p.52-62

2017

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Monitoring fine root growth to identify optimal fertilization timing in a forest plantation: A case study in Northeast Vietnam

PloS one, 2019-11, Vol.14 (11), p.e0225567-e0225567

2019

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A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression

IEEE journal of biomedical and health informatics, 2016-07, Vol.20 (4), p.1008-1015

2016

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Discovering topic structures of a temporally evolving document corpus

Knowledge and information systems, 2018-06, Vol.55 (3), p.599-632

2018

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Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

BMC psychiatry, 2014-03, Vol.14 (1), p.76-76, Article 76

2014

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DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

An effective spatial-temporal attention based neural network for traffic flow prediction

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

VulExplainer: A Transformer-based Hierarchical Distillation for Explaining Vulnerability Types

Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso

Improving kernel online learning with a snapshot memory

Affective and Content Analysis of Online Depression Communities

Collaborative filtering via sparse Markov random fields

Detection of bovine leukemia virus in beef cattle kept in the Central Coast Regions of Vietnam

Robust Variational Learning for Multiclass Kernel Models With Stein Refinement

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records

LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment

A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare

Multiple task transfer learning with small sample sizes

Briquetting of sugarcane bagasse as a proper waste management technology in Vietnam

Mixed-norm sparse representation for multi view face recognition

Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification

Streaming clustering with Bayesian nonparametric models

Monitoring fine root growth to identify optimal fertilization timing in a forest plantation: A case study in Northeast Vietnam

A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression

Discovering topic structures of a temporally evolving document corpus

Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

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