Search Results - "Phung, Dinh"

Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter by Vo, Ba-Ngu, Vo, Ba-Tuong, Phung, Dinh

“…An analytic solution to the multi-target Bayes recursion known as the δ-Generalized Labeled Multi-Bernoulli ( δ-GLMB) filter has been recently proposed by Vo…”
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Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View by Luo, Wei, Phung, Dinh, Tran, Truyen, Gupta, Sunil, Rana, Santu, Karmakar, Chandan, Shilton, Alistair, Yearwood, John, Dimitrova, Nevenka, Ho, Tu Bao, Venkatesh, Svetha, Berk, Michael

“…As more and more researchers are turning to big data for new opportunities of biomedical discoveries, machine learning models, as the backbone of big data…”
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Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM) by Tran, Truyen, Nguyen, Tu Dinh, Phung, Dinh, Venkatesh, Svetha

“…[Display omitted] •We introduce a novel framework called eNRBM to model electronic medical records.•Medical objects such as disease and intervention are…”
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An effective spatial-temporal attention based neural network for traffic flow prediction by Do, Loan N.N., Vu, Hai L., Vo, Bao Q., Liu, Zhiyuan, Phung, Dinh

“…Due to its importance in Intelligent Transport Systems (ITS), traffic flow prediction has been the focus of many studies in the last few decades. Existing…”
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VulExplainer: A Transformer-based Hierarchical Distillation for Explaining Vulnerability Types by Fu, Michael, Nguyen, Van, Tantithamthavorn, Chakkrit Kla, Le, Trung, Phung, Dinh

“…Deep learning-based vulnerability prediction approaches are proposed to help under-resourced security practitioners to detect vulnerable functions. However,…”
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Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso by Kamkar, Iman, Gupta, Sunil Kumar, Phung, Dinh, Venkatesh, Svetha

“…[Display omitted] •We model new application of Tree-Lasso for stable feature selection in healthcare.•Tree-Lasso finds more stable features compared to other…”
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Improving kernel online learning with a snapshot memory by Le, Trung, Nguyen, Khanh, Phung, Dinh

“…We propose in this paper the Stochastic Variance-reduced Gradient Descent for Kernel Online Learning (DualSVRG), which obtains the ε -approximate linear…”
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Affective and Content Analysis of Online Depression Communities by Thin Nguyen, Dinh Phung, Bo Dao, Venkatesh, Svetha, Berk, Michael

“…A large number of people use online communities to discuss mental health issues, thus offering opportunities for new understanding of these communities. This…”
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Collaborative filtering via sparse Markov random fields by Tran, Truyen, Phung, Dinh, Venkatesh, Svetha

“…Recommender systems play a central role in providing individualized access to information and services. This paper focuses on collaborative filtering, an…”
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Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records by Li, Cheng, Rana, Santu, Phung, Dinh, Venkatesh, Svetha

“…Electronic Medical Record (EMR) has established itself as a valuable resource for large scale analysis of health data. A hospital EMR dataset typically…”
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LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment by Nguyen, Dang, Luo, Wei, Phung, Dinh, Venkatesh, Svetha

“…Cancer is a worldwide problem and one of the leading causes of death. Increasing prevalence of cancer, particularly in developing countries, demands better…”
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A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare by Saha, Budhaditya, Gupta, Sunil, Dinh Phung, Venkatesh, Svetha

“…Health analysis often involves prediction of multiple outcomes of mixed type. The existing work is restrictive to either a limited number or specific outcome…”
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Multiple task transfer learning with small sample sizes by Saha, Budhaditya, Gupta, Sunil, Phung, Dinh, Venkatesh, Svetha

“…Prognosis, such as predicting mortality, is common in medicine. When confronted with small numbers of samples, as in rare medical conditions, the task is…”
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Streaming clustering with Bayesian nonparametric models by Huynh, Viet, Phung, Dinh

“…Bayesian nonparametric (BNP) models are theoretically suitable for learning streaming data due to their complexity relaxation to growing data observed over…”
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Robust Variational Learning for Multiclass Kernel Models With Stein Refinement by Nguyen, Khanh, Le, Trung, Nguyen, Tu Dinh, Webb, Geoffrey I., Phung, Dinh

“…Kernel-based models have a strong generalization ability, but most, including SVM, are vulnerable to the curse of kernelization. Moreover, their predictive…”
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A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression by Saha, Budhaditya, Thin Nguyen, Dinh Phung, Venkatesh, Svetha

“…Mental illness has a deep impact on individuals, families, and by extension, society as a whole. Social networks allow individuals with mental disorders to…”
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Discovering topic structures of a temporally evolving document corpus by Beykikhoshk, Adham, Arandjelović, Ognjen, Phung, Dinh, Venkatesh, Svetha

“…In this paper we describe a novel framework for the discovery of the topical content of a data corpus, and the tracking of its complex structural changes…”
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Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments by Tran, Truyen, Luo, Wei, Phung, Dinh, Harvey, Richard, Berk, Michael, Kennedy, Richard Lee, Venkatesh, Svetha

“…To date, our ability to accurately identify patients at high risk from suicidal behaviour, and thus to target interventions, has been fairly limited. This…”
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Room-temperature NO2 sensor based on a hybrid nanomaterial of methylammonium tin iodide submicron spheres and tin dioxide nanowires by Hien, Vu Xuan, Hoat, Phung Dinh, Hung, Pham Tien, Lee, Sangwook, Lee, Joon-Hyung, Heo, Young-Woo

“…Perovskite halide materials are currently attracting considerable attention owing to their superior optical and electrical properties. This study proposes a…”
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Monitoring fine root growth to identify optimal fertilization timing in a forest plantation: A case study in Northeast Vietnam by Van Do, Tran, Thang, Nguyen Toan, Lam, Vu Tien, Van Thuyet, Dang, Trung, Phung Dinh, Quy, Tran Hoang, Phuong, Nguyen Thi Thu, Huyen, Ly Thi Thanh, Thinh, Nguyen Huu, Van Tuan, Nguyen, Duc, Dao Trung, Ha, Dang Thi Hai, Trung, Duong Quang, Luong, Ho Trung, Anh, Nguyen Thi Hoai, Nykiel, Patrick

“…Fertilizer is applied widely to improve the productivity of plantations. Traditionally, fertilization is conducted in spring and/or in the early rainy season,…”
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