A Bayesian Nonparametric Approach to Multilevel Regression

A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data

A Fast Extension for Sparse Representation on Robust Face Recognition

A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers

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 Framework for the design of privacy preserving pervasive healthcare

article

A Smartphone-Based Obstacle Sensor for the Visually Impaired

A Smith-Waterman Local Alignment Approach for Spatial Activity Recognition

A Spectral Slit Approach to Doubletalk Detection

A Study on Smoothing for Particle-Filtered 3D Human Body Tracking

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

scholarly article published 2011

A cross-cancer metastasis signature in the microRNA-mRNA axis of paired tissue samples

scientific article published on 13 August 2019

A framework for coordination and learning among teams of agents

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 novel information theoretic approach to wavelet feature selection for texture classification

A predictive framework for modeling healthcare data with evolving clinical interventions

article

A unified 2D-3D video scene change detection framework for mobile camera platforms

A unified tensor framework for face recognition

scholarly article by Santu Rana et al published November 2009 in Pattern Recognition

Achieving stable subspace clustering by post-processing generic clustering results

Affective and Content Analysis of Online Depression Communities

article

Ageing, Chronic Disease and Injury: A Study in Western Victoria (Australia).

artículo científico publicado en 2016

Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation ⬇️

An Embedded Suggestive Interface for Making Home Videos

An application of “agent-oriented” techniques to symbolic matching and object recognition

An innovative face image enhancement based on principle component analysis

article published in 2011

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

Anomaly detection in large-scale data stream networks

Association between area-level socioeconomic status, accessibility and diabetes-related hospitalisations: a cross-sectional analysis of data from Western Victoria, Australia

artículo científico publicado en 2019

Augmenting trust establishment in dynamic systems with social networks

scholarly article published 2010

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

Automatic Fitting of a Deformable Face Mask Using a Single Image

article by Annika Kuhl et al published 2009 in Lecture Notes in Computer Science

Bayesian Minimax Estimation of the Normal Model With Incomplete Prior Covariance Matrix Specification

Bayesian Optimization with Unknown Search Space ⬇️

Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing

scientific article published on 20 January 2020

Browsing personal media archives with spatial context using panoramas

CCTV Scene Perspective Distortion Estimation From Low-Level Motion Features

Calibration of Audio-Video Sensors for Multi-Modal Event Indexing

Cancer as a Tissue Anomaly: Classifying Tumor Transcriptomes Based Only on Healthy Data

scientific article published on 02 July 2019

Cascade Bayesian Optimization

artículo científico publicado en 2016

Classification and Pattern Discovery of Mood in Weblogs

Classifying Multiple Imbalanced Attributes in Relational Data

Classifying and Learning Cricket Shots Using Camera Motion

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

Comparative evaluation of pedestrian detection methods for mobile bus surveillance

Compressive speech enhancement

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

Constrained Sequence Classification for Lexical Disambiguation

article by Tran The Truyen et al published 2008 in Lecture Notes in Computer Science

Constructing and navigating personalised views of the Web

article published in 1999

Contextual navigation in a multimedia journal

Continuous discovery of co-location contexts from Bluetooth data

Correction to: Geographic region, socioeconomic position and the utilisation of primary total joint replacement for hip or knee osteoarthritis across western Victoria: a cross-sectional multilevel study of the Australian Orthopaedic Association Nati

artículo científico publicado en 2018

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 in the Bowel: Highly Interpretable Neural Encoder-Decoder Networks Predict Gut Metabolites from Gut Microbiome

artículo científico publicado en 2020

DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

DeepTRIAGE: Interpretable and Individualised Biomarker Scores using Attention Mechanism for the Classification of Breast Cancer Sub-types

DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types

artículo científico publicado en 2020

Deepr: A Convolutional Net for Medical Records

artículo científico publicado en 2016

Detection of Cross-Channel Anomalies from Multiple Data Channels

article published in 2011

Detection of cross-channel anomalies

Detection of dynamic background due to swaying movements from motion features

artículo científico publicado en 2014

Detection of epileptic seizure based on entropy analysis of short-term EEG.

artículo científico publicado en 2018

Differentially Private Multi-task Learning

Differentially Private Random Forest with High Utility

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

Distributed query processing for mobile surveillance

Dynamic Privacy in Public Surveillance

Dynamic Threshold Determination by Local and Global Edge Evaluation

Dynamic privacy assessment in a smart house environment using multimodal sensing

article by Simon Moncrieff et al published 1 November 2008 in ACM Transactions on Multimedia Computing, Communications, and Applications

Dynamic shot suggestion filtering for home video based on user performance

Edge detection is a projection

Edge evaluation using necessary components

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

Effective Anomaly Detection in Sensor Networks Data Streams

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 Bayesian Function Optimization of Evolving Material Manufacturing Processes

scientific article published on 18 November 2019

Efficient algorithms for robust recovery of images from compressed data

artículo científico publicado en 2013

Efficient and accurate set-based registration of time-separated aerial images

scholarly article by Ognjen Arandjelović et al published November 2015 in Pattern Recognition

Efficient duration and hierarchical modeling for human activity recognition

Efficient subwindow search with submodular score functions

Emotional Reactions to Real-World Events in Social Networks

Energy-Based Localized Anomaly Detection in Video Surveillance

Energy-based anomaly detection for mixed data

Episodic Policy Gradient Training

artículo científico publicado en 2022

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 Monge structures in optimum subwindow search

Exploiting feature relationships towards stable feature selection

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

article

Exploiting side information in locality preserving projection

Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning

Extracting natural scales using fourier descriptors

Extraction of Film Takes for Cinematic Analysis

Extraction of social context and application to personal multimedia exploration

Face Recognition Using Kernel Ridge Regression

Fast One-Class Support Vector Machine for Novelty Detection

Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression

article by Senjian An et al published August 2007 in Pattern Recognition

Faster training of very deep networks via p-norm gates

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

Flexible Transfer Learning Framework for Bayesian Optimisation

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

Formation of a geometric pattern with a mobile wireless sensor network

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

scholarly article published 2012

Generating comprehensible summaries of rushes sequences based on robust feature matching

Geographic region, socioeconomic position and the utilisation of primary total joint replacement for hip or knee osteoarthritis across western Victoria: a cross-sectional multilevel study of the Australian Orthopaedic Association National Joint Repl

artículo científico publicado en 2017

Geolocated Twitter-based population mobility in Victoria, Australia, during the staged COVID-19 restrictions

scientific article published on 24 September 2020

Graph-induced restricted Boltzmann machines for document modeling

GraphDTA: Predicting drug-target binding affinity with graph neural networks

artículo científico publicado en 2020

GraphDTA: Predicting drug–target binding affinity with graph neural networks

scientific article published on 28 June 2019

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

Hyperparameter tuning for big data using Bayesian optimisation

Identification and outcomes of clinical phenotypes in amyotrophic lateral sclerosis/motor neuron disease: Australian National Motor Neuron Disease observational cohort.

scientific article published on 30 September 2016

Identification of predictors and model for predicting prolonged length of stay in dengue patients

artículo científico publicado en 2021

Improved image recovery from compressed data contaminated with impulsive noise

artículo científico publicado en 2011

Improved risk predictions via sparse imputation of patient conditions in electronic medical records

Improving the classification of neuropsychiatric conditions using gene ontology terms as features

article

Individualized arrhythmia detection with ECG signals from wearable devices

Infrequent Item Mining in Multiple Data Streams

Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications

scientific article published on 06 November 2019

Interactively browsing movies in terms of action, foreshadowing and resolution

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

Joint learning and dictionary construction for pattern recognition

scholarly article published June 2008

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

Layered dynamic probabilistic networks for spatio-temporal modelling

Learning Boltzmann Distance Metric for Face Recognition

Learning Conditional Latent Structures from Multiple Data Sources

Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition

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

Linking Identities and Viewpoints in Home Movies Based on Robust Feature Matching

Local energy and pre-envelope

Low-cost interactive active range finder

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

Model-based character recognition in low resolution

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

Multi-class Pattern Classification in Imbalanced Data

Multi-modal emotive computing in a smart house environment

article by Simon Moncrieff et al published March 2007 in Pervasive and Mobile Computing

Multi-objective Bayesian optimisation with preferences over objectives ⬇️

artículo científico publicado en 2019

Multi-task transfer learning for in-hospital-death prediction of ICU patients

artículo científico publicado en 2016

Multimedia Authoring

Multiple adverse effects prediction in longitudinal cancer treatment

Multiple task transfer learning with small sample sizes

Networking of multimedia women event beyond epsilon science

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

On the classification of image features

Online audio background determination for complex audio environments

Optimizing a High-Entropy System: Software-Assisted Development of Highly Hydrophobic Surfaces using an Amphiphilic Polymer

artículo científico publicado en 2019

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

Passenger monitoring in moving bus video

Pedestrian detection for mobile bus surveillance

Precision psychiatry with immunological and cognitive biomarkers: a multi-domain prediction for the diagnosis of bipolar disorder or schizophrenia using machine learning

scientific article published on 24 May 2020

Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach

Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records.

artículo científico publicado en 2016

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

Privacy Aware K-Means Clustering with High Utility

Privacy and the access of information in a smart house environment

scholarly article published 2007

Process-constrained batch Bayesian optimisation ⬇️

article by Pratibha Vellanki et al published 2017 in Advances in Neural Information Processing Systems 30

Randomised controlled trial of an iPad based early intervention for autism: TOBY playpad study protocol

artículo científico publicado en 2016

Rapid Bayesian optimisation for synthesis of short polymer fiber materials.

artículo científico

Recognising faces in unseen modes: A tensor based approach

Recognising online spatial activities using a bioinformatics inspired sequence alignment approach

scholarly article by Daniel E. Riedel et al published November 2008 in Pattern Recognition

Recognition of emergent human behaviour in a smart home: A data mining approach

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 Recognition and Segmentation of Human Actions Using HMMs with Missing Observations

Robust learning of discriminative projection for multicategory classification on the Stiefel manifold

artículo científico publicado en 2008

SPATIAL REASONING VIA ACTIVE OBSERVATION

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

artículo científico publicado en 2016

Semantic data modelling and visualisation using Noetica

Sensing and using social context

Situated event bootstrapping and capture guidance for automated home movie authoring

article published in 2005

Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints

Social reader

Social reader: towards browsing the social web

Solving for X: Evidence for sex-specific autism biomarkers across multiple transcriptomic studies

artículo científico publicado en 2018

Sparse Subspace Representation for Spectral Document Clustering

Spatial Indexing for Video Databases

article published in 1996

Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes

Stability, Consistency and Performance of Distribution Entropy in Analysing Short Length Heart Rate Variability (HRV) Signal

artículo científico publicado en 2017

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 Bayesian Optimization

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

Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces ⬇️

Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold

TOBY

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

artículo científico publicado en 2013

TRACKING AND SURVEILLANCE IN WIDE-AREA SPATIAL ENVIRONMENTS USING THE ABSTRACT HIDDEN MARKOV MODEL

Temporal semantic compression for video browsing

Textual Cues for Online Depression in Community and Personal Settings

The adaptable buffer algorithm for high quantile estimation in non-stationary data streams

scholarly article published July 2015

The epidemiology of emergency presentations for falls across Western Victoria, Australia

scientific article published on 31 August 2019

The epidemiology of emergency presentations for falls across Western Victoria, Australia

scientific article published on 27 June 2020

The epidemiology of hip fractures across western Victoria, Australia

artículo científico publicado en 2017

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

Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety

scientific article published on 06 September 2019

Towards Discovery of Influence and Personality Traits through Social Link Prediction

scientific article published in 2021

Towards a Video Browser for the Digital Native

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

article

Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis

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 Maximum Entropy-Based Algorithms for Running Quantile Estimation in Nonstationary Data Streams

Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media

scholarly article by Haripriya Harikumar et al published 2016 in Lecture Notes in Computer Science

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

article

Unified formulation of linear discriminant analysis methods and optimal parameter selection

scholarly article by Senjian An et al published February 2011 in Pattern Recognition

Unsupervised context detection using wireless signals

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

article

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 dynamic time warping for online temporal fusion in multisensor systems

Using life's digital detritus to feed discovery

artículo científico publicado en 2017

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

Utility-Based Summarization of Home Videos

Variational Memory Encoder-Decoder ⬇️

article published in 2018

Video abstraction

article published in 2007

Video indexing and similarity retrieval by largest common subgraph detection using decision trees

Video sequence matching via decision tree path following

Virtual observers in a mobile surveillance system

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