Milos Hauskrecht

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 54

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Xiangru Chen, Milos Hauskrecht
Enhancing Hypotension Prediction in Real-Time Patient Monitoring Through Deep Learning: A Novel Application of XResNet with Contrastive Learning and Value Attention Mechanisms. AIME (1) (2024)
Jeongmin Lee, Milos Hauskrecht
Personalized event prediction for Electronic Health Records. Artif. Intell. Medicine 143 (2023)
Jayati H. Jui, Milos Hauskrecht
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. BHI (2023)
Jeongmin Lee, Milos Hauskrecht
Personalized Event Prediction for Electronic Health Records. CoRR (2023)
Jayati H. Jui, Milos Hauskrecht
Machine Learning Models for Automatic Gene Ontology Annotation of Biological Texts. AIME (2023)
Zhipeng Luo, Yazhou He, Yanbing Xue, Hongjun Wang, Milos Hauskrecht, Tianrui Li
Hierarchical Active Learning With Qualitative Feedback on Regions. IEEE Trans. Hum. Mach. Syst. 53 (3) (2023)
Junheng Wang, Milos Hauskrecht
Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies. AIME (2023)
Jeong Min Lee, Milos Hauskrecht
Learning to Adapt Clinical Sequences with Residual Mixture of Experts. CoRR (2022)
Jeong Min Lee, Milos Hauskrecht
Learning to Adapt Dynamic Clinical Event Sequences with Residual Mixture of Experts. AIME (2022)
Salim Malakouti, Milos Hauskrecht
Hierarchical Deep Multi-task Learning for Classification of Patient Diagnoses. AIME (2022)
Jeong Min Lee, Milos Hauskrecht
Modeling multivariate clinical event time-series with recurrent temporal mechanisms. Artif. Intell. Medicine 112 (2021)
Yanbing Xue, Milos Hauskrecht
A General Two-stage Multi-label Ranking Framework. FLAIRS Conference (2021)
Matthew Barren, Milos Hauskrecht
Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning. CoRR (2021)
Jeong Min Lee, Milos Hauskrecht
Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning. CoRR (2021)
Jeong Min Lee, Milos Hauskrecht
Neural Clinical Event Sequence Prediction Through Personalized Online Adaptive Learning. AIME (2021)
Matthew Barren, Milos Hauskrecht
Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning. AIME (2021)
Siqi Liu, Milos Hauskrecht
Event Outlier Detection in Continuous Time. ICML (2021)
Ke Yu, Mingda Zhang, Tianyi Cui, Milos Hauskrecht
Monitoring ICU Mortality Risk with a Long Short-Term Memory Recurrent Neural Network. PSB (2020)
Zhipeng Luo, Milos Hauskrecht
Hierarchical Active Learning with Overlapping Regions. CIKM (2020)
Jeong Min Lee, Milos Hauskrecht
Multi-scale Temporal Memory for Clinical Event Time-Series Prediction. AIME (2020)
Jeong Min Lee, Milos Hauskrecht
Clinical Event Time-Series Modeling with Periodic Events. FLAIRS Conference (2020)
Salim Malakouti, Milos Hauskrecht
Not All Samples are Equal: Class Dependent Hierarchical Multi-Task Learning for Patient Diagnosis Classification. FLAIRS Conference (2020)
Yanbing Xue, Milos Hauskrecht
Active Learning of Multi-Class Classification Models from Ordered Class Sets. AAAI (2019)
Seyedsalim Malakouti, Milos Hauskrecht
Predicting Patient's Diagnoses and Diagnostic Categories from Clinical-Events in EHR Data. AIME (2019)
Matteo Mantovani, Carlo Combi, Milos Hauskrecht
Mining Compact Predictive Pattern Sets Using Classification Model. AIME (2019)
Andrew J. King, Gregory F. Cooper, Gilles Clermont, Harry Hochheiser, Milos Hauskrecht, Dean F. Sittig, Shyam Visweswaran
Using machine learning to selectively highlight patient information. J. Biomed. Informatics 100 (2019)
Zhipeng Luo, Milos Hauskrecht
Region-Based Active Learning with Hierarchical and Adaptive Region Construction. SDM (2019)
Siqi Liu, Milos Hauskrecht
Contextual Outlier Detection in Continuous-Time Event Sequences. CoRR (2019)
Jeong Min Lee, Milos Hauskrecht
Recent Context-Aware LSTM for Clinical Event Time-Series Prediction. AIME (2019)
Salim Malakouti, Milos Hauskrecht
Hierarchical Adaptive Multi-task Learning Framework for Patient Diagnoses and Diagnostic Category Classification. BIBM (2019)
Siqi Liu, Milos Hauskrecht
Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes. NeurIPS (2019)
Siqi Liu, Adam Wright, Milos Hauskrecht
Change-point detection method for clinical decision support system rule monitoring. Artif. Intell. Medicine 91 (2018)
Zhipeng Luo, Milos Hauskrecht
Hierarchical Active Learning with Proportion Feedback on Regions. ECML/PKDD (2) (2018)
Zitao Liu, Yan Yan, Milos Hauskrecht
A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic. SIGIR (2018)
Zhipeng Luo, Milos Hauskrecht
Hierarchical Active Learning with Group Proportion Feedback. IJCAI (2018)
Charmgil Hong, Milos Hauskrecht
Multivariate Conditional Outlier Detection: Identifying Unusual Input-Output Associations in Data. FLAIRS Conference (2018)
Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran
Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. AMIA (2018)
Yanbing Xue, Milos Hauskrecht
Active Learning of Multi-Class Classifiers with Auxiliary Probabilistic Information. FLAIRS Conference (2018)
Zhipeng Luo, Milos Hauskrecht
Group-Based Active Learning of Classification Models. FLAIRS Conference (2017)
Yanbing Xue, Milos Hauskrecht
Efficient Learning of Classification Models from Soft-label Information by Binning and Ranking. FLAIRS Conference (2017)
Charmgil Hong, Siqi Liu, Milos Hauskrecht
Detection of Abnormal Input-Output Associations. CoRR (2017)
Siqi Liu, Adam Wright, Milos Hauskrecht
Change-Point Detection Method for Clinical Decision Support System Rule Monitoring. AIME (2017)
Siqi Liu, Adam Wright, Milos Hauskrecht
Online Conditional Outlier Detection in Nonstationary Time Series. FLAIRS Conference (2017)
Adam Wright, Trang T. Hickman, Dustin McEvoy, Skye Aaron, Angela Ai, Joan S. Ash, Jan Marie Andersen, Rachel Badovinac Ramoni, Milos Hauskrecht, Peter J. Embí, Richard Schreiber, Dean F. Sittig, David W. Bates
Methods for Detecting Malfunctions in Clinical Decision Support Systems. MedInfo (2017)
Siqi Liu, Adam Wright, Dean F. Sittig, Milos Hauskrecht
Change-point detection for monitoring clinical decision support systems with a multi-process dynamic linear model. BIBM (2017)
Zitao Liu, Milos Hauskrecht
A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection. CIKM (2017)
Yanbing Xue, Milos Hauskrecht
Active Learning of Classification Models with Likert-Scale Feedback. SDM (2017)
Yanbing Xue, Milos Hauskrecht
Learning of Classification Models from Noisy Soft-Labels. ECAI (2016)
Iyad Batal, Gregory F. Cooper, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht
An efficient pattern mining approach for event detection in multivariate temporal data. Knowl. Inf. Syst. 46 (1) (2016)
Charmgil Hong, Milos Hauskrecht
Detecting Unusual Input-Output Associations in Multivariate Conditional Data. CoRR (2016)
Charmgil Hong, Milos Hauskrecht
Multivariate Conditional Outlier Detection and Its Clinical Application. AAAI (2016)
Milos Hauskrecht, Iyad Batal, Charmgil Hong, Quang Nguyen, Gregory F. Cooper, Shyam Visweswaran, Gilles Clermont
Outlier-based detection of unusual patient-management actions: An ICU study. J. Biomed. Informatics 64 (2016)
Zitao Liu, Milos Hauskrecht
Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data. AAAI (2016)
Zitao Liu, Milos Hauskrecht
Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based Framework. SDM (2016)
Eric Heim, Milos Hauskrecht
Sparse multidimensional patient modeling using auxiliary confidence labels. BIBM (2015)
Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
Active Perceptual Similarity Modeling with Auxiliary Information. CoRR (2015)
Charmgil Hong, Milos Hauskrecht
Multivariate Conditional Anomaly Detection and Its Clinical Application. AAAI (2015)
Eric Heim, Milos Hauskrecht
Sparse Multidimensional Patient Modeling using Auxiliary Confidence Labels. CoRR (2015)
Zitao Liu, Yan Yan, Jian Yang, Milos Hauskrecht
Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic. ICDM (2015)
Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
Efficient Online Relative Comparison Kernel Learning. CoRR (2015)
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
Obtaining Well Calibrated Probabilities Using Bayesian Binning. AAAI (2015)
Charmgil Hong, Milos Hauskrecht
MCODE: Multivariate Conditional Outlier Detection. CoRR (2015)
Zitao Liu, Milos Hauskrecht
A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis. AAAI (2015)
Charmgil Hong, Iyad Batal, Milos Hauskrecht
A Generalized Mixture Framework for Multi-label Classification. SDM (2015)
Zitao Liu, Milos Hauskrecht
Clinical time series prediction: Toward a hierarchical dynamical system framework. Artif. Intell. Medicine 65 (1) (2015)
Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
Efficient Online Relative Comparison Kernel Learning. SDM (2015)
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
Binary Classifier Calibration Using a Bayesian Non-Parametric Approach. SDM (2015)
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
Binary Classifier Calibration: Bayesian Non-Parametric Approach. CoRR (2014)
Charmgil Hong, Iyad Batal, Milos Hauskrecht
A Mixtures-of-Experts Framework for Multi-Label Classification. CoRR (2014)
Adam Wright, Francine L. Maloney, Rachel B. Ramoni, Milos Hauskrecht, Peter J. Embí, Pamela M. Neri, Dean F. Sittig, David W. Bates
Identifying Clinical Decision Support Failures using Change-point Detection. AMIA (2014)
Charmgil Hong, Iyad Batal, Milos Hauskrecht
A Mixtures-of-Trees Framework for Multi-Label Classification. CIKM (2014)
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
Binary Classifier Calibration: Non-parametric approach. CoRR (2014)
Mahdi Pakdaman Naeini, Iyad Batal, Zitao Liu, Charmgil Hong, Milos Hauskrecht
An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification. SDM (2014)
Eric Heim, Hamed Valizadegan, Milos Hauskrecht
Relative Comparison Kernel Learning with Auxiliary Kernels. ECML/PKDD (1) (2014)
Quang Nguyen, Hamed Valizadegan, Milos Hauskrecht
Learning classification models with soft-label information. J. Am. Medical Informatics Assoc. 21 (3) (2014)
Zitao Liu, Milos Hauskrecht
Clinical Time Series Prediction with a Hierarchical Dynamical System. AIME (2013)
Hamed Valizadegan, Quang Nguyen, Milos Hauskrecht
Learning classification models from multiple experts. J. Biomed. Informatics 46 (6) (2013)
Eric Heim, Hamed Valizadegan, Milos Hauskrecht
Relative Comparison Kernel Learning with Auxiliary Kernels. CoRR (2013)
Milos Hauskrecht, Zitao Liu, Lei Wu
Modeling Clinical Time Series Using Gaussian Process Sequences. SDM (2013)
Zitao Liu, Milos Hauskrecht
Sparse Linear Dynamical System with Its Application in Multivariate Clinical Time Series. CoRR (2013)
Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht
A temporal pattern mining approach for classifying electronic health record data. ACM Trans. Intell. Syst. Technol. 4 (4) (2013)
Iyad Batal, Charmgil Hong, Milos Hauskrecht
An efficient probabilistic framework for multi-dimensional classification. CIKM (2013)
Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
Conditional Outlier Approach for Detection of Unusual Patient Care Actions. AAAI (Late-Breaking Developments) (2013)
Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
The Bregman Variational Dual-Tree Framework. UAI (2013)
Milos Hauskrecht, Eli Upfal
A Clustering Approach to Solving Large Stochastic Matching Problems CoRR (2013)
Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
The Bregman Variational Dual-Tree Framework. CoRR (2013)
Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
Data-driven identification of unusual clinical actions in the ICU. AMIA (2013)
Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
Hierarchical Solution of Markov Decision Processes using Macro-actions CoRR (2013)
Milos Hauskrecht, Iyad Batal, Michal Valko, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
Outlier detection for patient monitoring and alerting. J. Biomed. Informatics 46 (1) (2013)
Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation. UAI (2012)
Branislav Kveton, Milos Hauskrecht
Partitioned Linear Programming Approximations for MDPs CoRR (2012)
Hamed Valizadegan, Quang Nguyen, Milos Hauskrecht
Learning Medical Diagnosis Models from Multiple Experts. AMIA (2012)
Milos Hauskrecht, Tomás Singliar
Monte-Carlo optimizations for resource allocation problems in stochastic network systems CoRR (2012)
Shuguang Wang, Milos Hauskrecht
Keyword annotation of biomedicai documents with graph-based similarity methods. BIBM (2012)
Yuriy Sverchkov, Shyam Visweswaran, Gilles Clermont, Milos Hauskrecht, Gregory F. Cooper
A multivariate probabilistic method for comparing two clinical datasets. IHI (2012)
Iyad Batal, Gregory F. Cooper, Milos Hauskrecht
A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules. ECML/PKDD (2) (2012)
Hamed Valizadegan, Saeed Amizadeh, Milos Hauskrecht
Sampling Strategies to Evaluate the Performance of Unknown Predictors. SDM (2012)
Carlos Guestrin, Milos Hauskrecht, Branislav Kveton
Solving Factored MDPs with Continuous and Discrete Variables CoRR (2012)
Iyad Batal, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht
Mining recent temporal patterns for event detection in multivariate time series data. KDD (2012)
Saeed Amizadeh, Hamed Valizadegan, Milos Hauskrecht
Factorized Diffusion Map Approximation. AISTATS (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Milos Hauskrecht