Milos Hauskrecht

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Modeling Highway Traffic Volumes

Milos Hauskrecht, Tomás Singliar, M. Hauskrecht, 2007, ECML.

Detection of Abnormal Input-Output Associations pdf

Milos Hauskrecht, Charmgil Hong, Siqi Liu, 2017, ArXiv.

Sampling Strategies to Evaluate the Performance of Unknown Predictors

Milos Hauskrecht, Hamed Valizadegan, Saeed Amizadeh, 2012, SDM.

Outlier detection for patient monitoring and alerting

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2013, J. Biomed. Informatics.

Analysis of Temporal Clinical Patterns using Hidden Markov Models

Milos Hauskrecht, Charmgil Hong, 2012 .

Conditional anomaly detection methods for patient-management alert systems.

Milos Hauskrecht, Shyam Visweswaran, Michal Valko, 2008, Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning.

Subject Filtering for Passive Biometric Monitoring

Milos Hauskrecht, Donald M. Chiarulli, Vahan Grigoryan, 2004 .

A multivariate probabilistic method for comparing two clinical datasets

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2012, IHI '12.

Machine learning solutions for transportation networks

Milos Hauskrecht, Tomas Singliar, M. Hauskrecht, 2008 .

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

Milos Hauskrecht, Charmgil Hong, Iyad Batal, 2014, CIKM.

Approximation Strategies for Routing in Stochastic Dynamic Networks

Milos Hauskrecht, Tomás Singliar, M. Hauskrecht, 2008, ISAIM.

Dynamic Networks: Modeling Change in Environments Exposed to Risk

Milos Hauskrecht, Louise K. Comfort, L. Comfort, 2008 .

Feature importance analysis for patient management decisions

Milos Hauskrecht, Michal Valko, 2010, MedInfo.

Active Learning of Multi-Class Classifiers with Auxiliary Probabilistic Information

Milos Hauskrecht, Yanbing Xue, M. Hauskrecht, 2018, FLAIRS.

Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data

Milos Hauskrecht, Zitao Liu, M. Hauskrecht, 2016, AAAI.

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

Milos Hauskrecht, Hamish S. F. Fraser, 1998, AMIA.

A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic

Milos Hauskrecht, Yan Yan, Zitao Liu, 2018, SIGIR.

Change-point detection for monitoring clinical decision support systems with a multi-process dynamic linear model

Milos Hauskrecht, Adam Wright, Siqi Liu, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Hierarchical Active Learning with Proportion Feedback on Regions

Milos Hauskrecht, Zhipeng Luo, 2018, ECML/PKDD.

Multi-scale Temporal Memory for Clinical Event Time-Series Prediction

Milos Hauskrecht, Jeong Min Lee, 2020, AIME.

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

Milos Hauskrecht, Yanbing Xue, M. Hauskrecht, 2019, AAAI.

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

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2016, J. Biomed. Informatics.

A Clustering Approach to Solving Large Stochastic Matching Problems pdf

Milos Hauskrecht, Eli Upfal, E. Upfal, 2001, UAI.

An Efficient Framework for Constructing Generalized Locally-Induced Text Metrics

Milos Hauskrecht, Saeed Amizadeh, Shuguang Wang, 2011, IJCAI.

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

Milos Hauskrecht, Charmgil Hong, M. Hauskrecht, 2018, FLAIRS.

Monte-Carlo optimizations for resource allocation problems in stochastic network systems pdf

Milos Hauskrecht, Tomás Singliar, M. Hauskrecht, 2002, UAI.

Clinical Time Series Prediction with a Hierarchical Dynamical System

Milos Hauskrecht, Zitao Liu, M. Hauskrecht, 2013, AIME.

Learning Medical Diagnosis Models from Multiple Experts

Milos Hauskrecht, Quang Nguyen, Hamed Valizadegan, 2012, AMIA.

Factorized Diffusion Map Approximation

Milos Hauskrecht, Hamed Valizadegan, Saeed Amizadeh, 2012, AISTATS.

Improving Biomedical Document Retrieval by Mining Domain Knowledge

Milos Hauskrecht, Shuguang Wang, 2009, FLAIRS Conference.

Approximate Linear Programming for Solving Hybrid Factored MDPs

Milos Hauskrecht, M. Hauskrecht, 2006, AI&M.

Identifying Clinical Decision Support Failures using Change-point Detection

Milos Hauskrecht, David W. Bates, Adam Wright, 2014, AMIA.

Partitioned Linear Programming Approximations for MDPs

Milos Hauskrecht, Branislav Kveton, B. Kveton, 2008, UAI.

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

Milos Hauskrecht, Adam Wright, Siqi Liu, 2018, Artif. Intell. Medicine.

Factorized Diusion Map Approximation

Milos Hauskrecht, Hamed Valizadegan, Saeed Amizadeh, 2012 .

Towards a Learning Trac Incident Detection System

Milos Hauskrecht, Tomas Singliar, 2006 .

Non-parametric graph-based methods for large scale problems

Milos Hauskrecht, Saeed Amizadeh, M. Hauskrecht, 2013 .

Clinical time series prediction: Toward a hierarchical dynamical system framework

Milos Hauskrecht, Zitao Liu, M. Hauskrecht, 2015, Artif. Intell. Medicine.

Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes

Milos Hauskrecht, Siqi Liu, M. Hauskrecht, 2019, NeurIPS.

Methods for Detecting Malfunctions in Clinical Decision Support Systems

Milos Hauskrecht, David W. Bates, Adam Wright, 2017, MedInfo.

Learning classification models from multiple experts

Milos Hauskrecht, Quang Nguyen, Hamed Valizadegan, 2013, J. Biomed. Informatics.

Computing Near Optimal Strategies for Stochastic Investment Planning Problems

Milos Hauskrecht, Eli Upfal, Gopal Pandurangan, 1999, IJCAI.

Adaptive graph-based algorithms for conditional anomaly detection and semi-supervised learning

Milos Hauskrecht, Michal Valko, Michal Valko, 2011 .

Noisy-OR Component Analysis and its Application to Link Analysis

Milos Hauskrecht, Tomás Singliar, M. Hauskrecht, 2006, J. Mach. Learn. Res..

Hierarchical Active Learning with Overlapping Regions

Milos Hauskrecht, Zhipeng Luo, 2020, CIKM.

A Mixtures-of-Experts Framework for Multi-Label Classification pdf

Milos Hauskrecht, Charmgil Hong, Iyad Batal, 2014, ArXiv.

MCODE: Multivariate Conditional Outlier Detection pdf

Milos Hauskrecht, Charmgil Hong, M. Hauskrecht, 2015, ArXiv.

A Pattern Mining Approach for Classifying Multivariate Temporal Data

Milos Hauskrecht, Gregory F. Cooper, Hamed Valizadegan, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

An MCMC Approach to Solving Hybrid Factored MDPs

Milos Hauskrecht, Branislav Kveton, B. Kveton, 2005, IJCAI.

A Generalized Mixture Framework for Multi-label Classification

Milos Hauskrecht, Charmgil Hong, Iyad Batal, 2015, SDM.

Sample-efficient learning with auxiliary class-label information.

Milos Hauskrecht, Quang Nguyen, Hamed Valizadegan, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Detecting Unusual Input-Output Associations in Multivariate Conditional Data pdf

Milos Hauskrecht, Charmgil Hong, M. Hauskrecht, 2016, ArXiv.

MARBLS: a visual environment for building clinical alert rules

Milos Hauskrecht, Jingtao Wang, Alexander Conrad, 2011, UIST '11 Adjunct.

Recent Context-Aware LSTM for Clinical Event Time-Series Prediction

Milos Hauskrecht, Jeong Min Lee, M. Hauskrecht, 2019, AIME.

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

Milos Hauskrecht, Zitao Liu, 2017, CIKM.

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

Milos Hauskrecht, Mingda Zhang, Tianyi Cui, 2019, PSB.

Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation

Milos Hauskrecht, Bo Thiesson, Saeed Amizadeh, 2012, UAI.

Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer

Milos Hauskrecht, Xinghua Lu, Roger S. Day, 2003, Pacific Symposium on Biocomputing.

Patient Modeling using Auxiliary Confidence Labels

Milos Hauskrecht, Eric Heim, 2015 .

Computing Global Strategies for Multi-Market Commodity Trading

Milos Hauskrecht, Eli Upfal, Luis E. Ortiz, 2000, AIPS.

Sparse Linear Dynamical System with Its Application in Multivariate Clinical Time Series pdf

Milos Hauskrecht, Zitao Liu, 2013, ArXiv.

Obtaining Well Calibrated Probabilities Using Bayesian Binning

Milos Hauskrecht, Mahdi Pakdaman Naeini, Gregory F. Cooper, 2015, AAAI.

Solving Factored MDPs with Exponential-Family Transition Models

Milos Hauskrecht, Branislav Kveton, 2006, ICAPS.

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

Milos Hauskrecht, Adam Wright, Siqi Liu, 2017, AIME.

Learning Basis Functions in Hybrid Domains

Milos Hauskrecht, Branislav Kveton, B. Kveton, 2006, AAAI.

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

Milos Hauskrecht, Eli Upfal, Luis E. Ortiz, 2001, Appl. Artif. Intell..

Evidence-based Anomaly Detection in Clinical Domains

Milos Hauskrecht, Shyam Visweswaran, Michal Valko, 2007, AMIA.

Analytical techniques for the improvement of mass spectrometry protein profiling

Milos Hauskrecht, Richard Pelikan, M. Hauskrecht, 2011 .

Improving biomedical document retrieval using domain knowledge

Milos Hauskrecht, Shuguang Wang, 2008, SIGIR '08.

Mining recent temporal patterns for event detection in multivariate time series data

Milos Hauskrecht, Dmitriy Fradkin, Fabian Mörchen, 2012, KDD.

Group-Based Active Learning of Classification Models

Milos Hauskrecht, Zhipeng Luo, M. Hauskrecht, 2017, FLAIRS.

Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes

Milos Hauskrecht, Branislav Kveton, 2004, ICAPS.

Multivariate Conditional Outlier Detection and Its Clinical Application

Milos Hauskrecht, Charmgil Hong, M. Hauskrecht, 2016, AAAI.

Hierarchical Adaptive Multi-task Learning Framework for Patient Diagnoses and Diagnostic Category Classification

Milos Hauskrecht, Salim Malakouti, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Planning Medical Therapy Using Partially Observable Markov Decision Processes

Milos Hauskrecht, Hamish S. F. Fraser, M. Hauskrecht, 2014 .

Efficient Online Relative Comparison Kernel Learning

Milos Hauskrecht, Matthew Berger, Lee M. Seversky, 2015, SDM.

Conditional Outlier Approach for Detection of Unusual Patient Care Actions

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2013, AAAI.

Hierarchical Active Learning with Group Proportion Feedback

Milos Hauskrecht, Zhipeng Luo, M. Hauskrecht, 2018, IJCAI.

Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes

Milos Hauskrecht, M. Hauskrecht, 1997, AAAI/IAAI.

Binary Classifier Calibration Using a Bayesian Non-Parametric Approach

Milos Hauskrecht, Mahdi Pakdaman Naeini, Gregory F. Cooper, 2015, SDM.

Mining Clinical Data using Minimal Predictive Rules.

Milos Hauskrecht, Iyad Batal, M. Hauskrecht, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Conditional Anomaly Detection with Soft Harmonic Functions

Milos Hauskrecht, Michal Valko, Gregory F. Cooper, 2011, 2011 IEEE 11th International Conference on Data Mining.

Online Conditional Outlier Detection in Nonstationary Time Series

Milos Hauskrecht, Adam Wright, Siqi Liu, 2017, FLAIRS.

Latent Variable Model for Learning in Pairwise Markov Networks

Milos Hauskrecht, Saeed Amizadeh, M. Hauskrecht, 2010, AAAI.

The Bregman Variational Dual-Tree Framework pdf

Milos Hauskrecht, Bo Thiesson, Saeed Amizadeh, 2013, UAI.

Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic

Jian Yang, Milos Hauskrecht, Yan Yan, 2015, 2015 IEEE International Conference on Data Mining.

Detection of Outlier Events in Continuous-Time Event Sequences.

Milos Hauskrecht, Siqi Liu, Siqi Liu, 2019 .

Multivariate Time Series Classification with Temporal Abstractions

Milos Hauskrecht, Riccardo Bellazzi, Iyad Batal, 2009, FLAIRS.

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

Milos Hauskrecht, Hamish S. F. Fraser, M. Hauskrecht, 2000, Artif. Intell. Medicine.

Dynamic Decision Making in Stochastic Partially Observable Domains: Ischemic Heart Disease Example

Milos Hauskrecht, M. Hauskrecht, 1997, AIME.

An efficient pattern mining approach for event detection in multivariate temporal data

Milos Hauskrecht, Dmitriy Fradkin, Gregory F. Cooper, 2015, Knowledge and Information Systems.

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

Milos Hauskrecht, Gregory F. Cooper, Iyad Batal, 2012, ECML/PKDD.

Relative Comparison Kernel Learning with Auxiliary Kernels

Milos Hauskrecht, Hamed Valizadegan, Eric Heim, 2013, ECML/PKDD.

A Concise Representation of Association Rules Using Minimal Predictive Rules

Milos Hauskrecht, Iyad Batal, 2010, ECML/PKDD.

Mining Compact Predictive Pattern Sets Using Classification Model

Milos Hauskrecht, Carlo Combi, Matteo Mantovani, 2019, AIME.

Constructing classification features using minimal predictive patterns

Milos Hauskrecht, Iyad Batal, 2010, CIKM '10.

Active Perceptual Similarity Modeling with Auxiliary Information pdf

Milos Hauskrecht, Matthew Berger, Lee M. Seversky, 2015, ArXiv.

Learning Classification with Auxiliary Probabilistic Information

Milos Hauskrecht, Quang Nguyen, Hamed Valizadegan, 2011, 2011 IEEE 11th International Conference on Data Mining.

Active Learning of Classification Models with Likert-Scale Feedback

Milos Hauskrecht, Yanbing Xue, M. Hauskrecht, 2017, SDM.

Linear Program Approximations for Factored Continuous-State Markov Decision Processes

Milos Hauskrecht, Branislav Kveton, B. Kveton, 2003, NIPS.

Keyword annotation of biomedicai documents with graph-based similarity methods

Milos Hauskrecht, Shuguang Wang, M. Hauskrecht, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine.

Clinical Event Time-Series Modeling with Periodic Events

Milos Hauskrecht, Jeong Min Lee, 2020, FLAIRS Conference.

Learning predictive models for combinations of heterogeneous proteomic data sources

Milos Hauskrecht, Michal Valko, Richard Pelikan, 2008 .

Solving Factored MDPs with Continuous and Discrete Variables

Milos Hauskrecht, Carlos Guestrin, Branislav Kveton, 2004, UAI.

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

Milos Hauskrecht, William L. Bigbee, James Lyons-Weiler, 2005, Applied bioinformatics.

Data-driven identification of unusual clinical actions in the ICU

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2013, AMIA.

A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis

Milos Hauskrecht, Zitao Liu, 2015, AAAI.

Document Retrieval using a Probabilistic Knowledge Model

Milos Hauskrecht, Shyam Visweswaran, Shuguang Wang, 2009, KDIR.

Not All Samples are Equal: Class Dependent Hierarchical Multi-Task Learning for Patient Diagnosis Classification

Milos Hauskrecht, Salim Malakouti, 2020, FLAIRS Conference.

Contextual Outlier Detection in Continuous-Time Event Sequences pdf

Milos Hauskrecht, Siqi Liu, Siqi Liu, 2019, ArXiv.

Declarative and operational in knowledge based systems

Milos Hauskrecht, M. Popper, 1991, MIE.

Gene prioritization using a probabilistic knowledge model

Milos Hauskrecht, Shyam Visweswaran, Shuguang Wang, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop.

A Supervised Time Series Feature Extraction Technique Using DCT and DWT

Milos Hauskrecht, Iyad Batal, M. Hauskrecht, 2009, 2009 International Conference on Machine Learning and Applications.

Solving Very Large Weakly Coupled Markov Decision Processes

Kee-Eung Kim, Milos Hauskrecht, Craig Boutilier, 1998, AAAI/IAAI.

Mining predictive patterns and extension to multivariate temporal data

Milos Hauskrecht, Iyad Batal, M. Hauskrecht, 2012 .

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

Milos Hauskrecht, Mahdi Pakdaman Naeini, Charmgil Hong, 2014, SDM.

Efficient Peak-Labeling Algorithms for Whole-Sample Mass Spectrometry Proteomics

Milos Hauskrecht, Richard Pelikan, M. Hauskrecht, 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Binary Classifier Calibration: Bayesian Non-Parametric Approach pdf

Milos Hauskrecht, Mahdi Pakdaman Naeini, Gregory F. Cooper, 2014, ArXiv.

Modeling Clinical Time Series Using Gaussian Process Sequences

Milos Hauskrecht, Lei Wu, Zitao Liu, 2013, SDM.

Hierarchical Solution of Markov Decision Processes using Macro-actions pdf

Milos Hauskrecht, Craig Boutilier, Leslie Pack Kaelbling, 1998, UAI.

Predicting Patient's Diagnoses and Diagnostic Categories from Clinical-Events in EHR Data

Milos Hauskrecht, Seyedsalim Malakouti, 2019, AIME.

Science as an anomaly-driven enterprise: a computational approach to generating acceptable theory revisions in the face of anomalous data

Milos Hauskrecht, Bruce G. Buchanan, Will Bridewell, 2004 .

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

Milos Hauskrecht, Zitao Liu, M. Hauskrecht, 2016, SDM.

Secure-CITI Critical Information-Technology Infrastructure

Rami G. Melhem, Daniel Mossé, Milos Hauskrecht, 2006, DG.O.

Learning classification models with soft-label information

Milos Hauskrecht, Quang Nguyen, Hamed Valizadegan, 2014, J. Am. Medical Informatics Assoc..

Planning and control in stochastic domains with imperfect information

Milos Hauskrecht, M. Hauskrecht, 1997 .

Variational Learning for Noisy-OR Component Analysis

Milos Hauskrecht, Tomás Singliar, M. Hauskrecht, 2005, SDM.

Distance Metric Learning for Conditional Anomaly Detection

Milos Hauskrecht, Michal Valko, 2008, FLAIRS Conference.

Learning to detect incidents from noisily labeled data

Milos Hauskrecht, Tomás Singliar, 2009, Machine Learning.

Effective query expansion with the resistance distance based term similarity metric

Milos Hauskrecht, Shuguang Wang, M. Hauskrecht, 2010, SIGIR.

Binary Classifier Calibration: Non-parametric approach pdf

Milos Hauskrecht, Mahdi Pakdaman Naeini, Gregory F. Cooper, 2014, ArXiv.

Value-Function Approximations for Partially Observable Markov Decision Processes pdf

Milos Hauskrecht, M. Hauskrecht, 2000, J. Artif. Intell. Res..

Learning of Classification Models from Noisy Soft-Labels

Milos Hauskrecht, Yanbing Xue, M. Hauskrecht, 2016, ECAI.

An efficient probabilistic framework for multi-dimensional classification

Milos Hauskrecht, Charmgil Hong, Iyad Batal, 2013, CIKM.

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

Milos Hauskrecht, William L. Bigbee, James Lyons-Weiler, 2007, Bioinform..

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

Milos Hauskrecht, Yanbing Xue, M. Hauskrecht, 2017, FLAIRS.

A temporal pattern mining approach for classifying electronic health record data

Milos Hauskrecht, Gregory F. Cooper, Hamed Valizadegan, 2013, ACM Trans. Intell. Syst. Technol..

ORIGINAL RESEARCH 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

Milos Hauskrecht, James Lyons-Weiler, Richard Pelikan, 2022 .

Boosting KNN text classification accuracy by using supervised term weighting schemes

Milos Hauskrecht, Iyad Batal, M. Hauskrecht, 2009, CIKM.

The operational aspects of object-oriented approach in medical expert systems design

Milos Hauskrecht, M. Popper, J. Stanek, 1991, MIE.

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

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2018, AMIA.

Multivariate Conditional Anomaly Detection and Its Clinical Application

Milos Hauskrecht, Charmgil Hong, M. Hauskrecht, 2015, AAAI.

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

Milos Hauskrecht, Richard C Pelikan, M. Hauskrecht, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Learning to Detect Adverse Traffic Events from Noisily Labeled Data

Milos Hauskrecht, Tomás Singliar, 2007, PKDD.

Region-Based Active Learning with Hierarchical and Adaptive Region Construction

Milos Hauskrecht, Zhipeng Luo, M. Hauskrecht, 2019, SDM.

Sparse multidimensional patient modeling using auxiliary confidence labels

Milos Hauskrecht, Eric Heim, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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

Andrew J King, Gregory F Cooper, Harry Hochheiser, 2020, Journal of medical Internet research.

A Temporal Abstraction Framework for Classifying Clinical Temporal Data

Milos Hauskrecht, Riccardo Bellazzi, Iyad Batal, 2009, AMIA.

A General Two-stage Multi-label Ranking Framework

Milos Hauskrecht, Yanbing Xue, 2021, FLAIRS Conference.

Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning

Milos Hauskrecht, Jeong Min Lee, 2021, AIME.

Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning

Milos Hauskrecht, Matthew Barren, M. Hauskrecht, 2021, AIME.

Event Outlier Detection in Continuous Time

Milos Hauskrecht, Siqi Liu, 2021, ICML.

Modeling multivariate clinical event time-series with recurrent temporal mechanisms

Milos Hauskrecht, Jeong Min Lee, M. Hauskrecht, 2021, Artif. Intell. Medicine.

A statistical approach for detecting deviations from usual medical care.

Gregory F Cooper, Milos Hauskrecht, Shyam Visweswaran, 2007, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Conditional outlier detection for clinical alerting.

Gregory F Cooper, Milos Hauskrecht, Shyam Visweswaran, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Active Learning of Classification Models from Soft-Labeled Groups

Milos Hauskrecht, Zhipeng Luo, 2017 .

Candidate Gene Prioritization Using Network Based Probabilistic Models

Milos Hauskrecht, Shyam Visweswaran, Shuguang Wang, 2010 .