Milos Hauskrecht

According to our database1, Milos Hauskrecht authored at least 130 papers between 1991 and 2019.

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2019
Region-Based Active Learning with Hierarchical and Adaptive Region Construction.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Mining Compact Predictive Pattern Sets Using Classification Model.
Proceedings of the Artificial Intelligence in Medicine, 2019

Predicting Patient's Diagnoses and Diagnostic Categories from Clinical-Events in EHR Data.
Proceedings of the Artificial Intelligence in Medicine, 2019

Recent Context-Aware LSTM for Clinical Event Time-Series Prediction.
Proceedings of the Artificial Intelligence in Medicine, 2019

Active Learning of Multi-Class Classification Models from Ordered Class Sets.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Change-point detection method for clinical decision support system rule monitoring.
Artificial Intelligence in Medicine, 2018

A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Hierarchical Active Learning with Proportion Feedback on Regions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Hierarchical Active Learning with Group Proportion Feedback.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Active Learning of Multi-Class Classifiers with Auxiliary Probabilistic Information.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Multivariate Conditional Outlier Detection: Identifying Unusual Input-Output Associations in Data.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System.
Proceedings of the AMIA 2018, 2018

2017
Detection of Abnormal Input-Output Associations.
CoRR, 2017

Active Learning of Classification Models with Likert-Scale Feedback.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Methods for Detecting Malfunctions in Clinical Decision Support Systems.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Efficient Learning of Classification Models from Soft-label Information by Binning and Ranking.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Group-Based Active Learning of Classification Models.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Online Conditional Outlier Detection in Nonstationary Time Series.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Change-point detection for monitoring clinical decision support systems with a multi-process dynamic linear model.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Change-Point Detection Method for Clinical Decision Support System Rule Monitoring.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
An efficient pattern mining approach for event detection in multivariate temporal data.
Knowl. Inf. Syst., 2016

Outlier-based detection of unusual patient-management actions: An ICU study.
Journal of Biomedical Informatics, 2016

Detecting Unusual Input-Output Associations in Multivariate Conditional Data.
CoRR, 2016

Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based Framework.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Learning of Classification Models from Noisy Soft-Labels.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Multivariate Conditional Outlier Detection and Its Clinical Application.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
MCODE: Multivariate Conditional Outlier Detection.
CoRR, 2015

Sparse Multidimensional Patient Modeling using Auxiliary Confidence Labels.
CoRR, 2015

Active Perceptual Similarity Modeling with Auxiliary Information.
CoRR, 2015

Efficient Online Relative Comparison Kernel Learning.
CoRR, 2015

Clinical time series prediction: Toward a hierarchical dynamical system framework.
Artificial Intelligence in Medicine, 2015

Binary Classifier Calibration Using a Bayesian Non-Parametric Approach.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

A Generalized Mixture Framework for Multi-label Classification.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Efficient Online Relative Comparison Kernel Learning.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Sparse multidimensional patient modeling using auxiliary confidence labels.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Obtaining Well Calibrated Probabilities Using Bayesian Binning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Multivariate Conditional Anomaly Detection and Its Clinical Application.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Learning classification models with soft-label information.
JAMIA, 2014

Binary Classifier Calibration: Non-parametric approach.
CoRR, 2014

Binary Classifier Calibration: Bayesian Non-Parametric Approach.
CoRR, 2014

A Mixtures-of-Experts Framework for Multi-Label Classification.
CoRR, 2014

An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Relative Comparison Kernel Learning with Auxiliary Kernels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

A Mixtures-of-Trees Framework for Multi-Label Classification.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Identifying Clinical Decision Support Failures using Change-point Detection.
Proceedings of the AMIA 2014, 2014

2013
A temporal pattern mining approach for classifying electronic health record data.
ACM TIST, 2013

Learning classification models from multiple experts.
Journal of Biomedical Informatics, 2013

Outlier detection for patient monitoring and alerting.
Journal of Biomedical Informatics, 2013

Hierarchical Solution of Markov Decision Processes using Macro-actions
CoRR, 2013

A Clustering Approach to Solving Large Stochastic Matching Problems
CoRR, 2013

Sparse Linear Dynamical System with Its Application in Multivariate Clinical Time Series.
CoRR, 2013

Relative Comparison Kernel Learning with Auxiliary Kernels.
CoRR, 2013

The Bregman Variational Dual-Tree Framework.
CoRR, 2013

The Bregman Variational Dual-Tree Framework.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Modeling Clinical Time Series Using Gaussian Process Sequences.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

An efficient probabilistic framework for multi-dimensional classification.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Data-driven identification of unusual clinical actions in the ICU.
Proceedings of the AMIA 2013, 2013

Clinical Time Series Prediction with a Hierarchical Dynamical System.
Proceedings of the Artificial Intelligence in Medicine, 2013

Conditional Outlier Approach for Detection of Unusual Patient Care Actions.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012
Factorized Diffusion Map Approximation.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Monte-Carlo optimizations for resource allocation problems in stochastic network systems
CoRR, 2012

Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation
CoRR, 2012

Solving Factored MDPs with Continuous and Discrete Variables
CoRR, 2012

Partitioned Linear Programming Approximations for MDPs
CoRR, 2012

Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Sampling Strategies to Evaluate the Performance of Unknown Predictors.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Mining recent temporal patterns for event detection in multivariate time series data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

A multivariate probabilistic method for comparing two clinical datasets.
Proceedings of the ACM International Health Informatics Symposium, 2012

Keyword annotation of biomedicai documents with graph-based similarity methods.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

Learning Medical Diagnosis Models from Multiple Experts.
Proceedings of the AMIA 2012, 2012

2011
Solving Factored MDPs with Hybrid State and Action Variables
CoRR, 2011

Value-Function Approximations for Partially Observable Markov Decision Processes
CoRR, 2011

MARBLS: a visual environment for building clinical alert rules.
Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, Santa Barbara, CA, USA, October 16-19, 2011, 2011

An Efficient Framework for Constructing Generalized Locally-Induced Text Metrics.
Proceedings of the IJCAI 2011, 2011

Conditional Anomaly Detection with Soft Harmonic Functions.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Learning Classification with Auxiliary Probabilistic Information.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A Pattern Mining Approach for Classifying Multivariate Temporal Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Efficient Peak-Labeling Algorithms for Whole-Sample Mass Spectrometry Proteomics.
IEEE/ACM Trans. Comput. Biology Bioinform., 2010

Learning to detect incidents from noisily labeled data.
Machine Learning, 2010

Effective query expansion with the resistance distance based term similarity metric.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

A Concise Representation of Association Rules Using Minimal Predictive Rules.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Feature importance analysis for patient management decisions.
Proceedings of the MEDINFO 2010, 2010

Constructing classification features using minimal predictive patterns.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Latent Variable Model for Learning in Pairwise Markov Networks.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
A Supervised Time Series Feature Extraction Technique Using DCT and DWT.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Document Retrieval using a Probabilistic Knowledge Model.
Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009

Improving Biomedical Document Retrieval by Mining Domain Knowledge.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Multivariate Time Series Classification with Temporal Abstractions.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Boosting KNN text classification accuracy by using supervised term weighting schemes.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

A Temporal Abstraction Framework for Classifying Clinical Temporal Data.
Proceedings of the AMIA 2009, 2009

2008
Partitioned Linear Programming Approximations for MDPs.
Proceedings of the UAI 2008, 2008

Improving biomedical document retrieval using domain knowledge.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Approximation Strategies for Routing in Stochastic Dynamic Networks.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Distance Metric Learning for Conditional Anomaly Detection.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007
Intersession reproducibility of mass spectrometry profiles and its effect on accuracy of multivariate classification models.
Bioinformatics, 2007

Learning to Detect Adverse Traffic Events from Noisily Labeled Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Modeling Highway Traffic Volumes.
Proceedings of the Machine Learning: ECML 2007, 2007

Evidence-based Anomaly Detection in Clinical Domains.
Proceedings of the AMIA 2007, 2007

2006
Noisy-OR Component Analysis and its Application to Link Analysis.
J. Mach. Learn. Res., 2006

Solving Factored MDPs with Hybrid State and Action Variables.
J. Artif. Intell. Res., 2006

Approximate Linear Programming for Solving Hybrid Factored MDPs.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006

Secure-CITI Critical Information-Technology Infrastructure.
Proceedings of the 7th Annual International Conference on Digital Government Research, 2006

Solving Factored MDPs with Exponential-Family Transition Models.
Proceedings of the Sixteenth International Conference on Automated Planning and Scheduling, 2006

Learning Basis Functions in Hybrid Domains.
Proceedings of the Proceedings, 2006

2005
Variational Learning for Noisy-OR Component Analysis.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

An MCMC Approach to Solving Hybrid Factored MDPs.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2004
Solving Factored MDPs with Continuous and Discrete Variables.
Proceedings of the UAI '04, 2004

Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer.
Proceedings of the Biocomputing 2004, 2004

Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes.
Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling (ICAPS 2004), 2004

2003
Monte-Carlo optimizations for resource allocation problems in stochastic network systems.
Proceedings of the UAI '03, 2003

Linear Program Approximations for Factored Continuous-State Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2001
Efficient Methods for Computing Investment Strategies for Multi-Market Commodity Trading.
Applied Artificial Intelligence, 2001

A Clustering Approach to Solving Large Stochastic Matching Problems.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

2000
Value-Function Approximations for Partially Observable Markov Decision Processes.
J. Artif. Intell. Res., 2000

Planning treatment of ischemic heart disease with partially observable Markov decision processes.
Artificial Intelligence in Medicine, 2000

Computing Global Strategies for Multi-Market Commodity Trading.
Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, 2000

1999
Computing Near Optimal Strategies for Stochastic Investment Planning Problems.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

1998
Hierarchical Solution of Markov Decision Processes using Macro-actions.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Modeling treatment of ischemic heart disease with partially observable Markov decision processes.
Proceedings of the AMIA 1998, 1998

Solving Very Large Weakly Coupled Markov Decision Processes.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
Planning and control in stochastic domains with imperfect information.
PhD thesis, 1997

Dynamic Decision Making in Stochastic Partially Observable Domains: Ischemic Heart Disease Example.
Proceedings of the Artificial Intelligence Medicine, 1997

Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1991
The operational aspects of object-oriented approach in medical expert systems design.
Proceedings of the Medical Informatics Europe 1991, 1991

Declarative and operational in knowledge based systems.
Proceedings of the Medical Informatics Europe 1991, 1991


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