Milos Hauskrecht

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023

Personalized event prediction for Electronic Health Records.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, September, 2023

Hierarchical Active Learning With Qualitative Feedback on Regions.

[BibT_eX]

[DOI]

IEEE Trans. Hum. Mach. Syst., 2023

Uncovering the Effects of Genes, Proteins, and Medications on Functions of Wound Healing: A Dependency Rule-Based Text Mining Approach Leveraging GPT-4 based Evaluation.

[BibT_eX]

[DOI]

Jayati H. Jui

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies.

[BibT_eX]

[DOI]

Junheng Wang

Proceedings of the Artificial Intelligence in Medicine, 2023

Machine Learning Models for Automatic Gene Ontology Annotation of Biological Texts.

[BibT_eX]

[DOI]

Jayati H. Jui

Proceedings of the Artificial Intelligence in Medicine, 2023

2022

Learning to Adapt Clinical Sequences with Residual Mixture of Experts.

[BibT_eX]

[DOI]

CoRR, 2022

Hierarchical Deep Multi-task Learning for Classification of Patient Diagnoses.

[BibT_eX]

[DOI]

Salim Malakouti

Proceedings of the Artificial Intelligence in Medicine, 2022

Learning to Adapt Dynamic Clinical Event Sequences with Residual Mixture of Experts.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2022

2021

Modeling multivariate clinical event time-series with recurrent temporal mechanisms.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2021

Event Outlier Detection in Continuous Time.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

A General Two-stage Multi-label Ranking Framework.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Neural Clinical Event Sequence Prediction Through Personalized Online Adaptive Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2021

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

[BibT_eX]

[DOI]

Matthew Barren

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

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

[BibT_eX]

[DOI]

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

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

[BibT_eX]

[DOI]

Salim Malakouti

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Clinical Event Time-Series Modeling with Periodic Events.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Hierarchical Active Learning with Overlapping Regions.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Using machine learning to selectively highlight patient information.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2019

Contextual Outlier Detection in Continuous-Time Event Sequences.

[BibT_eX]

[DOI]

CoRR, 2019

Region-Based Active Learning with Hierarchical and Adaptive Region Construction.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

[BibT_eX]

[DOI]

Salim Malakouti

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Mining Compact Predictive Pattern Sets Using Classification Model.

[BibT_eX]

[DOI]

Matteo Mantovani

Carlo Combi

Proceedings of the Artificial Intelligence in Medicine, 2019

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

[BibT_eX]

[DOI]

Seyedsalim Malakouti

Proceedings of the Artificial Intelligence in Medicine, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

[BibT_eX]

[DOI]

Adam Wright

Artif. Intell. Medicine, 2018

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

[BibT_eX]

[DOI]

Yan Yan

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Hierarchical Active Learning with Proportion Feedback on Regions.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Hierarchical Active Learning with Group Proportion Feedback.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Active Learning of Multi-Class Classifiers with Auxiliary Probabilistic Information.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2018, 2018

2017

Detection of Abnormal Input-Output Associations.

[BibT_eX]

[DOI]

CoRR, 2017

Active Learning of Classification Models with Likert-Scale Feedback.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Methods for Detecting Malfunctions in Clinical Decision Support Systems.

[BibT_eX]

[DOI]

Rachel Badovinac Ramoni

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

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

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Group-Based Active Learning of Classification Models.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Online Conditional Outlier Detection in Nonstationary Time Series.

[BibT_eX]

[DOI]

Adam Wright

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

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

[BibT_eX]

[DOI]

Dmitriy Fradkin

James H. Harrison Jr.

Fabian Moerchen

Knowl. Inf. Syst., 2016

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

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2016

Detecting Unusual Input-Output Associations in Multivariate Conditional Data.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Learning of Classification Models from Noisy Soft-Labels.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Multivariate Conditional Outlier Detection and Its Clinical Application.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

MCODE: Multivariate Conditional Outlier Detection.

[BibT_eX]

[DOI]

CoRR, 2015

Active Perceptual Similarity Modeling with Auxiliary Information.

[BibT_eX]

[DOI]

CoRR, 2015

Clinical time series prediction: Toward a hierarchical dynamical system framework.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2015

Binary Classifier Calibration Using a Bayesian Non-Parametric Approach.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

A Generalized Mixture Framework for Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Efficient Online Relative Comparison Kernel Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Sparse multidimensional patient modeling using auxiliary confidence labels.

[BibT_eX]

[DOI]

Eric Heim

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Obtaining Well Calibrated Probabilities Using Bayesian Binning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Multivariate Conditional Anomaly Detection and Its Clinical Application.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Learning classification models with soft-label information.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2014

Binary Classifier Calibration: Non-parametric approach.

[BibT_eX]

[DOI]

CoRR, 2014

Binary Classifier Calibration: Bayesian Non-Parametric Approach.

[BibT_eX]

[DOI]

CoRR, 2014

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

[BibT_eX]

[DOI]

CoRR, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Relative Comparison Kernel Learning with Auxiliary Kernels.

[BibT_eX]

[DOI]

Eric Heim

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Identifying Clinical Decision Support Failures using Change-point Detection.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2014, 2014

2013

A temporal pattern mining approach for classifying electronic health record data.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2013

Learning classification models from multiple experts.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2013

Outlier detection for patient monitoring and alerting.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2013

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

[BibT_eX]

[DOI]

CoRR, 2013

The Bregman Variational Dual-Tree Framework.

[BibT_eX]

[DOI]

Bo Thiesson

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Modeling Clinical Time Series Using Gaussian Process Sequences.

[BibT_eX]

[DOI]

Lei Wu

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

An efficient probabilistic framework for multi-dimensional classification.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Data-driven identification of unusual clinical actions in the ICU.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2013, 2013

Clinical Time Series Prediction with a Hierarchical Dynamical System.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2013

Conditional Outlier Approach for Detection of Unusual Patient Care Actions.

[BibT_eX]

[DOI]

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012

Factorized Diffusion Map Approximation.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

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

[BibT_eX]

[DOI]

Bo Thiesson

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Sampling Strategies to Evaluate the Performance of Unknown Predictors.

[BibT_eX]

[DOI]

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

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

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

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

[BibT_eX]

[DOI]

Dmitriy Fradkin

James H. Harrison Jr.

Fabian Moerchen

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

A multivariate probabilistic method for comparing two clinical datasets.

[BibT_eX]

[DOI]

Proceedings of the ACM International Health Informatics Symposium, 2012

Keyword annotation of biomedicai documents with graph-based similarity methods.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

Learning Medical Diagnosis Models from Multiple Experts.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2012, 2012

2011

MARBLS: a visual environment for building clinical alert rules.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Conditional Anomaly Detection with Soft Harmonic Functions.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Learning Classification with Auxiliary Probabilistic Information.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A Pattern Mining Approach for Classifying Multivariate Temporal Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010

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

[BibT_eX]

[DOI]

Richard Pelikan

IEEE ACM Trans. Comput. Biol. Bioinform., 2010

Learning to detect incidents from noisily labeled data.

[BibT_eX]

[DOI]

Mach. Learn., 2010

Effective query expansion with the resistance distance based term similarity metric.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Feature importance analysis for patient management decisions.

[BibT_eX]

[DOI]

Michal Valko

Proceedings of the MEDINFO 2010, 2010

Constructing classification features using minimal predictive patterns.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Latent Variable Model for Learning in Pairwise Markov Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

A Supervised Time Series Feature Extraction Technique Using DCT and DWT.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2009

Document Retrieval using a Probabilistic Knowledge Model.

[BibT_eX]

Shyam Visweswaran

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.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Multivariate Time Series Classification with Temporal Abstractions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Boosting KNN text classification accuracy by using supervised term weighting schemes.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

A Temporal Abstraction Framework for Classifying Clinical Temporal Data.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2009, 2009

2008

Partitioned Linear Programming Approximations for MDPs.

[BibT_eX]

[DOI]

Proceedings of the UAI 2008, 2008

Improving biomedical document retrieval using domain knowledge.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Distance Metric Learning for Conditional Anomaly Detection.

[BibT_eX]

[DOI]

Michal Valko

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.

[BibT_eX]

[DOI]

Bioinform., 2007

Learning to Detect Adverse Traffic Events from Noisily Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Modeling Highway Traffic Volumes.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2007, 2007

Evidence-based Anomaly Detection in Clinical Domains.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2007, 2007

2006

Noisy-OR Component Analysis and its Application to Link Analysis.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2006

Solving Factored MDPs with Hybrid State and Action Variables.

[BibT_eX]

[DOI]

Carlos Guestrin

J. Artif. Intell. Res., 2006

Approximate Linear Programming for Solving Hybrid Factored MDPs.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006

Secure-CITI Critical Information-Technology Infrastructure.

[BibT_eX]

[DOI]

Daniel Mossé

Louise K. Comfort

Ahmed Amer

José Carlos Brustoloni

Panos K. Chrysanthis

Alexandros Labrinidis

Rami G. Melhem

Kirk Pruhs

Proceedings of the 7th Annual International Conference on Digital Government Research, 2006

Solving Factored MDPs with Exponential-Family Transition Models.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Conference on Automated Planning and Scheduling, 2006

Learning Basis Functions in Hybrid Domains.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

Variational Learning for Noisy-OR Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

An MCMC Approach to Solving Hybrid Factored MDPs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Carlos Guestrin

Proceedings of the UAI '04, 2004

Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer.

[BibT_eX]

[DOI]

Xinghua Lu

Roger S. Day

Proceedings of the Biocomputing 2004, 2004

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the UAI '03, 2003

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Luis E. Ortiz

Ioannis Tsochantaridis

Appl. Artif. Intell., 2001

A Clustering Approach to Solving Large Stochastic Matching Problems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2000

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

[BibT_eX]

[DOI]

Hamish S. F. Fraser

Artif. Intell. Medicine, 2000

Computing Global Strategies for Multi-Market Commodity Trading.

[BibT_eX]

[DOI]

Luis E. Ortiz

Ioannis Tsochantaridis

Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, 2000

1999

Computing Near Optimal Strategies for Stochastic Investment Planning Problems.

[BibT_eX]

[DOI]

Gopal Pandurangan

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

1998

Hierarchical Solution of Markov Decision Processes using Macro-actions.

[BibT_eX]

[DOI]

Nicolas Meuleau

Leslie Pack Kaelbling

Thomas L. Dean

Craig Boutilier

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.

[BibT_eX]

[DOI]

Hamish Fraser

Proceedings of the AMIA 1998, 1998

Solving Very Large Weakly Coupled Markov Decision Processes.

[BibT_eX]

[DOI]

Leslie Pack Kaelbling

Thomas L. Dean

Craig Boutilier

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.

[BibT_eX]

[DOI]

PhD thesis, 1997

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

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Medicine, 1997

Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Stanek

M. Popper