Lista de obras - Truyen Tran - Dominio Público Uruguay

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

artículo científico publicado en 2014

An integrated framework for suicide risk prediction

Automatic Feature Learning for Predicting Vulnerable Software Components

artículo científico publicado en 2021

Classification and Pattern Discovery of Mood in Weblogs

Collaborative filtering via sparse Markov random fields

Committee machine that votes for similarity between materials

artículo científico publicado en 2018

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

artículo científico publicado en 2016

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

Energy-based anomaly detection for mixed data

Explainable software analytics

artículo científico publicado en 2018

Faster training of very deep networks via p-norm gates

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

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 semi-Markov conditional random fields for deep recursive sequential data

Hyper-community detection in the blogosphere

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

artículo científico publicado en 2015

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

Learning Boltzmann Distance Metric for Face Recognition

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

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

artículo científico publicado en 2014

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

Neural Choice by Elimination via Highway Networks

Nonnegative shared subspace learning and its application to social media retrieval

scholarly article published 2010

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

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

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 the delay of issues with due dates in software projects

artículo científico publicado en 2017

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

artículo científico publicado en 2014

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

artículo científico publicado en 2014

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

artículo científico publicado en 2016

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

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

Variational Memory Encoder-Decoder ⬇️

article published in 2018

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

artículo científico publicado en 2015

Lista de obras de Truyen Tran

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

An integrated framework for suicide risk prediction

Automatic Feature Learning for Predicting Vulnerable Software Components

Classification and Pattern Discovery of Mood in Weblogs

Collaborative filtering via sparse Markov random fields

Committee machine that votes for similarity between materials

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

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

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

Deepr: A Convolutional Net for Medical Records

Energy-based anomaly detection for mixed data

Explainable software analytics

Faster training of very deep networks via p-norm gates

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

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

Graph-induced restricted Boltzmann machines for document modeling

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

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

Hyper-community detection in the blogosphere

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

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

Learning Boltzmann Distance Metric for Face Recognition

Learning sparse latent representation and distance metric for image retrieval

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

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

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

Neural Choice by Elimination via Highway Networks

Nonnegative shared subspace learning and its application to social media retrieval

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

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

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

Predicting healthcare trajectories from medical records: A deep learning approach

Predicting the delay of issues with due dates in software projects

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

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

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

Stabilized sparse ordinal regression for medical risk stratification ⬇️

Stabilizing High-Dimensional Prediction Models Using Feature Graphs

Stabilizing Linear Prediction Models Using Autoencoder

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

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

Variational Memory Encoder-Decoder ⬇️

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

iPoll: Automatic Polling Using Online Search