Phung, Dinh

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

Luo, W., Phung, D., Tran, T., Gupta, S., Rana, S., Karmakar, C., Shilton, A., Yearwood, J., Dimitrova, N., Ho, T. B., et al. (2016) · Journal of Medical Internet Research

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 988

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

Nguyen, D. Q., Nguyen, T. D., Nguyen, D. Q., & Phung, D. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)

Advanced Graph Neural NetworksTopic Modeling

Cited by 923

Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model

Duong, T. V., Bui, H. H., Phung, D. Q., & Venkatesh, S. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 535

Predicting healthcare trajectories from medical records: a deep learning approach

Pham, T., Tran, T., Phung, D., & Venkatesh, S. (2017) · Journal of Biomedical Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 447

DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

Pham, T., Tran, T., Phung, D., & Venkatesh, S. (2016) · Lecture Notes in Computer Science

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 269

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

Tran, T., Nguyen, T. D., Phung, D., & Venkatesh, S. (2015) · Journal of Biomedical Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 172

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

Tran, T., Luo, W., Phung, D., Harvey, R., Berk, M., Kennedy, R. L., & Venkatesh, S. (2014) · BMC Psychiatry

Suicide and Self-Harm StudiesMachine Learning in Healthcare

Cited by 150

Efficient duration and hierarchical modeling for human activity recognition

Duong, T., Phung, D., Bui, H., & Venkatesh, S. (2009) · Artificial Intelligence

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 115

Taming Stable Diffusion for Text to 360° Panorama Image Generation

Zhang, C., Wu, Q., Gambardella, C. C., Huang, X., Phung, D., Ouyang, W., & Cai, J. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 38

Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs

Nguyen, T., Luo, L., Shiri, F., Phung, D., Li, Y.-F., Vu, T.-T., & Haffari, G. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingMultimodal Machine Learning Applications

Cited by 17

Nonparametric discovery of movement patterns from accelerometer signals

Nguyen, T., Gupta, S., Venkatesh, S., & Phung, D. (2016) · Pattern Recognition Letters

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 8