Lista de obras -

A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules

artículo científico publicado en 2012

A Generalized Mixture Framework for Multi-label Classification

artículo científico publicado en 2015

A Mixtures-of-Trees Framework for Multi-Label Classification

artículo científico publicado en 2014

A Pattern Mining Approach for Classifying Multivariate Temporal Data

artículo científico publicado en 2011

A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection

artículo científico publicado en 2017

A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis

artículo científico publicado en 2015

A Temporal Pattern Mining Approach for Classifying Electronic Health Record Data

artículo científico publicado en 2013

A statistical approach for detecting deviations from usual medical care.

artículo científico publicado en 2007

A temporal abstraction framework for classifying clinical temporal data

artículo científico publicado en 2009

Active Learning of Classification Models with Likert-Scale Feedback

artículo científico publicado en 2017

Active Learning of Multi-Class Classifiers with Auxiliary Probabilistic Information

scientific article published on 01 May 2018

Active Learning of Multi-class Classification Models from Ordered Class Sets

artículo científico publicado en 2019

An Efficient Framework for Constructing Generalized Locally-Induced Text Metrics

artículo científico publicado en 2011

An Efficient Pattern Mining Approach for Event Detection in Multivariate Temporal Data

artículo científico publicado en 2015

An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification

artículo científico publicado en 2014

Assessing the statistical significance of the achieved classification error of classifiers constructed using serum peptide profiles, and a prescription for random sampling repeated studies for massive high-throughput genomic and proteomic studies.

artículo científico publicado en 2005

Automatic selection of preprocessing methods for improving predictions on mass spectrometry protein profiles ⬇️

artículo científico publicado el 13 de noviembre de 2010

Binary Classifier Calibration Using a Bayesian Non-Parametric Approach

artículo científico publicado en 2015

Change-Point Detection Method for Clinical Decision Support System Rule Monitoring

artículo científico publicado en 2017

Change-Point Detection for Monitoring Clinical Decision Support Systems with a Multi-Process Dynamic Linear Model

artículo científico publicado en 2017

Change-point detection method for clinical decision support system rule monitoring

scientific article published on 03 July 2018

Clinical time series prediction: Toward a hierarchical dynamical system framework

artículo científico publicado en 2014

Conditional Anomaly Detection with Soft Harmonic Functions

artículo científico publicado en 2011

Conditional anomaly detection methods for patient-management alert systems

artículo científico publicado en 2008

Conditional outlier detection for clinical alerting ⬇️

artículo científico publicado el 13 de noviembre de 2010

Distance Metric Learning for Conditional Anomaly Detection

artículo científico publicado en 2008

Efficient Learning of Classification Models from Soft-label Information by Binning and Ranking

Efficient methods for computing investment strategies for multi-market commodity trading

Efficient peak-labeling algorithms for whole-sample mass spectrometry proteomics.

artículo científico publicado en 2010

Evidence-based anomaly detection in clinical domains

artículo científico publicado en 2007

Factorized Diffusion Map Approximation

artículo científico publicado en 2012

Feature Selection and Dimensionality Reduction in Genomics and Proteomics

Feature Selection for Classification of SELDI-TOF-MS Proteomic Profiles

artículo científico publicado en 2005

Feature importance analysis for patient management decisions ⬇️

artículo científico publicado el 1 de enero de 2010

Group-Based Active Learning of Classification Models

article published in 2017

Hierarchical Active Learning with Group Proportion Feedback

artículo científico publicado en 2018

Hierarchical Active Learning with Overlapping Regions

artículo científico publicado en 2020

Hierarchical Active Learning with Proportion Feedback on Regions

artículo científico publicado en 2019

Identification of microbial and proteomic biomarkers in early childhood caries

artículo científico publicado en 2011

Identifying Deviations from Usual Medical Care using a Statistical Approach ⬇️

artículo científico publicado el 13 de noviembre de 2010

Inter-session reproducibility measures for high-throughput data sources ⬇️

artículo científico publicado el 1 de marzo de 2008

Intersession reproducibility of mass spectrometry profiles and its effect on accuracy of multivariate classification models

artículo científico publicado en 2007

Latent Variable Model for Learning in Pairwise Markov Networks

artículo científico publicado en 2010

Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data

artículo científico publicado en 2016

Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based Framework

artículo científico publicado en 2016

Learning classification models from multiple experts

artículo científico publicado en 2013

Learning classification models with soft-label information

artículo científico publicado en 2014

Learning classification with auxiliary probabilistic information

artículo científico publicado en 2011

Learning medical diagnosis models from multiple experts.

artículo científico publicado en 2012

Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study

artículo científico publicado en 2020

Linear Program Approximations for Factored Continuous-State Markov Decision Processes ⬇️

artículo científico publicado en 2004

Methods for Detecting Malfunctions in Clinical Decision Support Systems

Mining Clinical Data using Minimal Predictive Rules.

artículo científico publicado en 2010

Mining Recent Temporal Patterns for Event Detection in Multivariate Time Series Data

artículo científico publicado en 2012

Mining compact predictive pattern sets using classification model

scientific article published on 30 May 2019

Monitoring ICU Mortality Risk with A Long Short-Term Memory Recurrent Neural Network

artículo científico publicado en 2020

Multivariate Conditional Outlier Detection and Its Clinical Application

artículo científico publicado en 2016

Multivariate Conditional Outlier Detection: Identifying Unusual Input-Output Associations in Data

artículo científico publicado en 2018

Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes ⬇️

Obtaining Well Calibrated Probabilities Using Bayesian Binning

artículo científico publicado en 2015

Online Conditional Outlier Detection in Nonstationary Time Series

artículo científico publicado en 2017

Outlier detection for patient monitoring and alerting

artículo científico publicado en 2012

Outlier-based detection of unusual patient-management actions: An ICU study

artículo científico publicado en 2016

Peptide identification in whole-sample mass spectrometry proteomics.

artículo científico publicado en 2007

Planning treatment of ischemic heart disease with partially observable Markov decision processes

article by Milos Hauskrecht et al published March 2000 in Artificial Intelligence in Medicine

Predicting patient's diagnoses and diagnostic categories from clinical-events in EHR data

scientific article published on 30 May 2019

Proteomic analysis of urine in kidney transplant patients with BK virus nephropathy

artículo científico publicado en 2006

Recent Context-aware LSTM for Clinical Event Time-series Prediction

scientific article published on 30 May 2019

Region-Based Active Learning with Hierarchical and Adaptive Region Construction

scientific article published on 01 May 2019

Sample-efficient learning with auxiliary class-label information

artículo científico publicado en 2011

Sampling Strategies to Evaluate the Performance of Unknown Predictors

artículo científico publicado en 2012

Serum Proteomic Profiling and Analysis

article

Sparse Multidimensional Patient Modeling using Auxiliary Confidence Labels

artículo científico publicado en 2015

Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System

scientific article published on 05 December 2018

Using machine learning to selectively highlight patient information

scientific article published on 29 October 2019

Lista de obras de

A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules

A Generalized Mixture Framework for Multi-label Classification

A Mixtures-of-Trees Framework for Multi-Label Classification

A Pattern Mining Approach for Classifying Multivariate Temporal Data

A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection

A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis

A Temporal Pattern Mining Approach for Classifying Electronic Health Record Data

A statistical approach for detecting deviations from usual medical care.

A temporal abstraction framework for classifying clinical temporal data

Active Learning of Classification Models with Likert-Scale Feedback

Active Learning of Multi-Class Classifiers with Auxiliary Probabilistic Information

Active Learning of Multi-class Classification Models from Ordered Class Sets

An Efficient Framework for Constructing Generalized Locally-Induced Text Metrics

An Efficient Pattern Mining Approach for Event Detection in Multivariate Temporal Data

An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification

Assessing the statistical significance of the achieved classification error of classifiers constructed using serum peptide profiles, and a prescription for random sampling repeated studies for massive high-throughput genomic and proteomic studies.

Automatic selection of preprocessing methods for improving predictions on mass spectrometry protein profiles ⬇️

Binary Classifier Calibration Using a Bayesian Non-Parametric Approach

Change-Point Detection Method for Clinical Decision Support System Rule Monitoring

Change-Point Detection for Monitoring Clinical Decision Support Systems with a Multi-Process Dynamic Linear Model

Change-point detection method for clinical decision support system rule monitoring

Clinical time series prediction: Toward a hierarchical dynamical system framework

Conditional Anomaly Detection with Soft Harmonic Functions

Conditional anomaly detection methods for patient-management alert systems

Conditional outlier detection for clinical alerting ⬇️

Distance Metric Learning for Conditional Anomaly Detection

Efficient Learning of Classification Models from Soft-label Information by Binning and Ranking

Efficient methods for computing investment strategies for multi-market commodity trading

Efficient peak-labeling algorithms for whole-sample mass spectrometry proteomics.

Evidence-based anomaly detection in clinical domains

Factorized Diffusion Map Approximation

Feature Selection and Dimensionality Reduction in Genomics and Proteomics

Feature Selection for Classification of SELDI-TOF-MS Proteomic Profiles

Feature importance analysis for patient management decisions ⬇️

Group-Based Active Learning of Classification Models

Hierarchical Active Learning with Group Proportion Feedback

Hierarchical Active Learning with Overlapping Regions

Hierarchical Active Learning with Proportion Feedback on Regions

Identification of microbial and proteomic biomarkers in early childhood caries

Identifying Deviations from Usual Medical Care using a Statistical Approach ⬇️

Inter-session reproducibility measures for high-throughput data sources ⬇️

Intersession reproducibility of mass spectrometry profiles and its effect on accuracy of multivariate classification models

Latent Variable Model for Learning in Pairwise Markov Networks

Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data

Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based Framework

Learning classification models from multiple experts

Learning classification models with soft-label information

Learning classification with auxiliary probabilistic information

Learning medical diagnosis models from multiple experts.

Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study

Linear Program Approximations for Factored Continuous-State Markov Decision Processes ⬇️

Methods for Detecting Malfunctions in Clinical Decision Support Systems

Mining Clinical Data using Minimal Predictive Rules.

Mining Recent Temporal Patterns for Event Detection in Multivariate Time Series Data

Mining compact predictive pattern sets using classification model

Monitoring ICU Mortality Risk with A Long Short-Term Memory Recurrent Neural Network

Multivariate Conditional Outlier Detection and Its Clinical Application

Multivariate Conditional Outlier Detection: Identifying Unusual Input-Output Associations in Data

Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes ⬇️

Obtaining Well Calibrated Probabilities Using Bayesian Binning

Online Conditional Outlier Detection in Nonstationary Time Series

Outlier detection for patient monitoring and alerting

Outlier-based detection of unusual patient-management actions: An ICU study

Peptide identification in whole-sample mass spectrometry proteomics.

Planning treatment of ischemic heart disease with partially observable Markov decision processes

Predicting patient's diagnoses and diagnostic categories from clinical-events in EHR data

Proteomic analysis of urine in kidney transplant patients with BK virus nephropathy

Recent Context-aware LSTM for Clinical Event Time-series Prediction

Region-Based Active Learning with Hierarchical and Adaptive Region Construction

Sample-efficient learning with auxiliary class-label information

Sampling Strategies to Evaluate the Performance of Unknown Predictors

Serum Proteomic Profiling and Analysis

Sparse Multidimensional Patient Modeling using Auxiliary Confidence Labels

Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System

Using machine learning to selectively highlight patient information