A Bayesian Nonparametric Approach to Multilevel Regression

A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data

A Convolutional Neural Network-based Model For Knowledge Base Completion And Its Application To Search Personalization

article published in the Semantic Web Journal

A Framework for Classifying Online Mental Health Related Communities with an Interest in Depression.

artículo científico publicado en 2016

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

artículo científico publicado en 2017

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

scholarly article published 2018

A Vietnamese Spelling Correction System

artículo científico publicado en 2023

A context-sensitive device to help people with autism cope with anxiety

scholarly article published 2011

A framework for feature extraction from hospital medical data with applications in risk prediction

artículo científico publicado en 2014

A new transfer learning framework with application to model-agnostic multi-task learning

A predictive framework for modeling healthcare data with evolving clinical interventions

article

Affective and Content Analysis of Online Depression Communities

article

An integrated framework for suicide risk prediction

Analysing the History of Autism Spectrum Disorder Using Topic Models

Analysis of circadian rhythms from online communities of individuals with affective disorders

Analysis of psycholinguistic processes and topics in online autism communities

scholarly article published July 2013

Animal Recognition and Identification with Deep Convolutional Neural Networks for Automated Wildlife Monitoring

scholarly article published October 2017

Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings

Classification and Pattern Discovery of Mood in Weblogs

Clustering Patient Medical Records via Sparse Subspace Representation

Cognitive intervention in autism using multimedia stimulus

Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning

Collaborative filtering via sparse Markov random fields

Computable social patterns from sparse sensor data

Computer assisted autism interventions for India

scholarly article published 2016

Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis

Consistency of the Health of the Nation Outcome Scales (HoNOS) at inpatient-to-community transition

artículo científico publicado en 2016

Continuous discovery of co-location contexts from Bluetooth data

Data clustering using side information dependent Chinese restaurant processes

article

Data-mining twitter and the autism spectrum disorder: A Pilot study

scholarly article published August 2014

Deep Domain Adaptation With Max-Margin Principle for Cross-Project Imbalanced Software Vulnerability Detection

artículo científico publicado en 2024

DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

Differentiating Sub-groups of Online Depression-Related Communities Using Textual Cues

Discovering latent affective dynamics among individuals in online mental health-related communities

article

Discovering topic structures of a temporally evolving document corpus

Discovery of latent subcommunities in a blog's readership

Discriminative Cues for Different Stages of Smoking Cessation in Online Community

Dual Discriminator Generative Adversarial Nets ⬇️

artículo científico publicado en 2017

Dual Space Gradient Descent for Online Learning ⬇️

artículo científico publicado en 2016

Effect of social capital on emotion, language style and latent topics in online depression community

Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding.

artículo científico publicado en 2018

Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions

Efficient duration and hierarchical modeling for human activity recognition

Emotional Reactions to Real-World Events in Social Networks

Energy-Based Localized Anomaly Detection in Video Surveillance

Estimation of the prevalence of adverse drug reactions from social media

artículo científico publicado en 2017

Event extraction using behaviors of sentiment signals and burst structure in social media

scholarly article by Thin Nguyen et al published 20 October 2012 in Knowledge and Information Systems

Eventscapes

Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious

Exploiting feature relationships towards stable feature selection

Exploiting side information in distance dependent Chinese restaurant processes for data clustering

article

Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes

Extraction of social context and application to personal multimedia exploration

Fast One-Class Support Vector Machine for Novelty Detection

Faster training of very deep networks via p-norm gates

Fixed-lag particle filter for continuous context discovery using Indian Buffet Process

Flickr hypergroups

article published in 2009

Forecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical Data

artículo científico publicado en 2016

Forecasting Patient Outflow from Wards having No Real-Time Clinical Data

Funniest thing i've seen since [href=//flic.kr/p/KGEGB]

scholarly article published 2012

Graph-induced restricted Boltzmann machines for document modeling

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

scientific article published on 16 December 2016

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records

Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and Its Application to Autism Research Literature

Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data ⬇️

Hierarchical semi-Markov conditional random fields for deep recursive sequential data

High accuracy context recovery using clustering mechanisms

Hyper-community detection in the blogosphere

Improved subspace clustering via exploitation of spatial constraints

Individualized arrhythmia detection with ECG signals from wearable devices

Interactive browsing system for anomaly video surveillance

Intervention-Driven Predictive Framework for Modeling Healthcare Data

article

Is demography destiny? Application of machine learning techniques to accurately predict population health outcomes from a minimal demographic dataset

artículo científico publicado en 2015

Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions

article

Kernel-based features for predicting population health indices from geocoded social media data

artículo científico publicado en 2017

Large-Scale Stylistic Analysis of Formality in Academia and Social Media

scholarly article by Thin Nguyen et al published 2016 in Lecture Notes in Computer Science

Large-scale statistical modeling of motion patterns

Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine

Learning Conditional Latent Structures from Multiple Data Sources

Learning Entry Profiles of Children with Autism from Multivariate Treatment Information Using Restricted Boltzmann Machines

Learning Graph Representation via Frequent Subgraphs

article

Learning Latent Activities from Social Signals with Hierarchical Dirichlet Processes

Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes

Learning Multifaceted Latent Activities from Heterogeneous Mobile Data

Learning sparse latent representation and distance metric for image retrieval

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

artículo científico publicado en 2015

MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data

Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry

artículo científico publicado en 2014

Mixed-norm sparse representation for multi view face recognition

scholarly article by Xin Zhang et al published September 2015 in Pattern Recognition

Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach

Modelling multilevel data in multimedia: A hierarchical factor analysis approach

Mood sensing from social media texts and its applications

scholarly article by Thin Nguyen et al published 21 March 2013 in Knowledge and Information Systems

Multi-View Subspace Clustering for Face Images

Multiple task transfer learning with small sample sizes

Neural Choice by Elimination via Highway Networks

Nonnegative shared subspace learning and its application to social media retrieval

scholarly article published 2010

Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data

scholarly article published August 2014

Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data

Nonparametric discovery of movement patterns from accelerometer signals

scholarly article by Thuong Nguyen et al published January 2016 in Pattern Recognition Letters

Nonparametric discovery of online mental health-related communities

article

OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling ⬇️

Outlier Detection on Mixed-Type Data: An Energy-Based Approach

Pervasive multimedia for autism intervention

scholarly article by S. Venkatesh et al published December 2012 in Pervasive and Mobile Computing

Predicting healthcare trajectories from medical records: A deep learning approach

artículo científico publicado en 2017

Predicting unplanned readmission after myocardial infarction from routinely collected administrative hospital data.

artículo científico publicado en 2014

Prediction of Age, Sentiment, and Connectivity from Social Media Text

scholarly article by Thin Nguyen et al published 2011 in Lecture Notes in Computer Science

Regularized nonnegative shared subspace learning

article published in 2011

Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models

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

artículo científico publicado en 2014

Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data

Screening for post 32-week preterm birth risk: how helpful is routine perinatal data collection?

artículo científico publicado en 2016

Sensing and using social context

Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints

Social reader

Social reader: towards browsing the social web

Sparse Subspace Representation for Spectral Document Clustering

Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes

Stabilized sparse ordinal regression for medical risk stratification ⬇️

Stabilizing High-Dimensional Prediction Models Using Feature Graphs

artículo científico publicado en 2014

Stabilizing Linear Prediction Models Using Autoencoder

Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records

Stabilizing l1-norm prediction models by supervised feature grouping

artículo científico publicado en 2015

Stable Feature Selection with Support Vector Machines

Stable clinical prediction using graph support vector machines

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

artículo científico publicado en 2014

TOBY

TOBY play-pad application to teach children with ASD - A pilot trial.

artículo científico publicado en 2013

Textual Cues for Online Depression in Community and Personal Settings

Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification

Towards Discovery of Influence and Personality Traits through Social Link Prediction

scientific article published in 2021

Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework

article

Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model

Tree-based iterated local search for Markov random fields with applications in image analysis

Two-View Graph Neural Networks for Knowledge Graph Completion

Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach

article

Unsupervised context detection using wireless signals

Unsupervised inference of significant locations from WiFi data for understanding human dynamics

article

Usefulness of Wearable Cameras as a Tool to Enhance Chronic Disease Self-Management: Scoping Review

artículo científico publicado en 2019

Using Twitter to learn about the autism community ⬇️

scholarly article by Adham Beykikhoshk et al published 2 June 2015 in Social Network Analysis and Mining

Using linguistic and topic analysis to classify sub-groups of online depression communities

Vision Transformer Inspired Automated Vulnerability Repair

artículo científico publicado en 2023

Visual Object Clustering via Mixed-Norm Regularization

Web search activity data accurately predict population chronic disease risk in the USA.

artículo científico publicado en 2015

iPoll: Automatic Polling Using Online Search

“You Tube and I Find”—Personalizing Multimedia Content Access