List of works - Milos Hauskrecht

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

scientific article published on 01 January 2012

A Generalized Mixture Framework for Multi-label Classification

scientific article published on January 2015

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

scientific article

A Pattern Mining Approach for Classifying Multivariate Temporal Data

scientific article

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

scientific article published in November 2017

A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis

scientific article

A Temporal Pattern Mining Approach for Classifying Electronic Health Record Data

scientific article

A statistical approach for detecting deviations from usual medical care.

scientific article published on 11 October 2007

A temporal abstraction framework for classifying clinical temporal data

scientific article

Active Learning of Classification Models with Likert-Scale Feedback

scientific article published on January 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

scientific article published on 01 January 2019

An Efficient Framework for Constructing Generalized Locally-Induced Text Metrics ⬇️

scientific article published on January 1, 2011

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

scientific article

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

scientific article

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.

scientific article published on January 2005

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

scientific article published on November 13, 2010

Binary Classifier Calibration Using a Bayesian Non-Parametric Approach

scientific article

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

scientific article published on 30 May 2017

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

scientific article published in November 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

scientific article published on November 2014

Conditional Anomaly Detection with Soft Harmonic Functions

scientific article published on January 2011

Conditional anomaly detection methods for patient-management alert systems

scientific article published on 01 July 2008

Conditional outlier detection for clinical alerting ⬇️

scientific article published on November 13, 2010

Distance Metric Learning for Conditional Anomaly Detection

scientific article published on 01 January 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

scientific article published in January 2010

Evidence-based anomaly detection in clinical domains

scientific article published on 11 October 2007

Factorized Diffusion Map Approximation

scientific article published on January 2012

Feature Selection and Dimensionality Reduction in Genomics and Proteomics

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

scientific article published in January 2005

Feature importance analysis for patient management decisions ⬇️

scientific article published on January 1, 2010

Group-Based Active Learning of Classification Models

article published in 2017

Hierarchical Active Learning with Group Proportion Feedback

scientific article published on 01 July 2018

Hierarchical Active Learning with Overlapping Regions

scientific article published on 01 October 2020

Hierarchical Active Learning with Proportion Feedback on Regions

scientific article published on 23 January 2019

Identification of microbial and proteomic biomarkers in early childhood caries ⬇️

scientific article published on October 16, 2011

Identifying Deviations from Usual Medical Care using a Statistical Approach ⬇️

scientific article published on November 13, 2010

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

scientific article published on March 1, 2008

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

scientific article

Latent Variable Model for Learning in Pairwise Markov Networks ⬇️

scientific article published on January 1, 2010

Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data

scientific article

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

scientific article published on May 2016

Learning classification models from multiple experts

scientific article

Learning classification models with soft-label information

scientific article (publication date: 2014)

Learning classification with auxiliary probabilistic information

scientific article

Learning medical diagnosis models from multiple experts ⬇️

scientific article published on November 3, 2012

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

scientific article published on 02 April 2020

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

scientific article published in January 2004

Methods for Detecting Malfunctions in Clinical Decision Support Systems

Mining Clinical Data using Minimal Predictive Rules.

scientific article

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

scientific article

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

scientific article published on 01 January 2020

Multivariate Conditional Outlier Detection and Its Clinical Application

scientific article published on February 2016

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

scientific article published on 01 May 2018

Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes ⬇️

Obtaining Well Calibrated Probabilities Using Bayesian Binning

scientific article

Online Conditional Outlier Detection in Nonstationary Time Series

scientific article published in May 2017

Outlier detection for patient monitoring and alerting ⬇️

scientific article published on August 27, 2012

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

scientific article

Peptide identification in whole-sample mass spectrometry proteomics.

scientific article

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

scientific article published on 11 October 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 ⬇️

scientific article published on October 22, 2011

Sampling Strategies to Evaluate the Performance of Unknown Predictors

scientific article

Serum Proteomic Profiling and Analysis

article

Sparse Multidimensional Patient Modeling using Auxiliary Confidence Labels

scientific article published on November 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

List of works by Milos Hauskrecht

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