List of works - Mihaela van der Schaar

3-band motion-compensated temporal structures for scalable video coding

scientific article published in September 2006

A Hierarchical Bayesian Model for Personalized Survival Predictions

scientific article published on 02 May 2018

A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics ⬇️

scientific article published in January 2016

A Rules-Based Approach for Configuring Chains of Classifiers in Real-Time Stream Mining Systems

A distributed approach for optimizing cascaded classifier topologies in real-time stream mining systems

scientific article published in June 2010

Active Learning in Context-Driven Stream Mining With an Application to Image Mining

scientific article

Anonymization through Data Synthesis using Generative Adversarial Networks (ADS-GAN)

scientific article published on 12 March 2020

Aspirin for primary prevention of ST segment elevation myocardial infarction in persons with diabetes and multiple risk factors

scientific article published on 20 September 2020

Attentive State-Space Modeling of Disease Progression ⬇️

Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition ⬇️

scientific article published in January 2016

Between-centre differences for COVID-19 ICU mortality from early data in England

scientific article published on 28 April 2020

Between-centre differences for COVID-19 ICU mortality from early data in England

scientific article published on 22 June 2020

CASTLE: Regularization via Auxiliary Causal Graph Discovery ⬇️

scientific article published in November 2020

CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19

scientific article published on 24 November 2020

Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants

scientific article published on 15 May 2019

Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors

scientific article published on 02 August 2021

Conditional Independence Testing using Generative Adversarial Networks ⬇️

Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing

scientific article published in 2018

DPSCREEN: Dynamic Personalized Screening ⬇️

scientific article published in January 2017

Deep Generative Models for 3D Linker Design

scientific article published on 02 April 2020

Demystifying Black-box Models with Symbolic Metamodels ⬇️

Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate ⬇️

Discovering Pediatric Asthma Phenotypes Based on Response to Controller Medication Using Machine Learning.

scientific article published on 19 October 2017

Discovering, Learning and Exploiting Relevance ⬇️

scientific article published in January 2014

Discovery and Clinical Decision Support for Personalized Healthcare

scientific article published on June 2016

Dynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks

scientific article published on 17 July 2019

Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data

scientific article published on 03 April 2019

Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks

article

Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks ⬇️

Ethnic and regional variations in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study

scientific article published on 02 July 2020

From real-world patient data to individualized treatment effects using machine learning: Current and future methods to address underlying challenges

scientific article published on 24 May 2020

Functional Contour-following via Haptic Perception and Reinforcement Learning

scientific article

Global Bandits

scientific article published on 12 April 2018

Gradient Regularized V-Learning for Dynamic Treatment Regimes ⬇️

scientific article published in November 2020

How artificial intelligence and machine learning can help healthcare systems respond to COVID-19

scientific article published on 09 December 2020

Improving Workflow Efficiency for Mammography Using Machine Learning

scientific article published on 30 May 2019

Incentive-compatible demand-side management for smart grids based on review strategies

article

Learning outside the Black-Box: The pursuit of interpretable models ⬇️

MAC Layer Jamming Mitigation Using a Game Augmented by Intervention

Multitask Boosting for Survival Analysis with Competing Risks ⬇️

Network formation games based on conditional independence graphs

Online reinforcement learning for dynamic multimedia systems

scientific article published on 30 October 2009

Opportunities for machine learning to transform care for people with cystic fibrosis

scientific article published on 01 January 2020

OrganITE: Optimal transplant donor organ offering using an individual treatment effect ⬇️

scientific article published in November 2020

Outcome-Oriented Deep Temporal Phenotyping of Disease Progression

scientific article published on 01 December 2020

Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes

scientific article published on 27 April 2017

Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation.

scientific article published on 28 March 2018

Predicting the Risk of Inpatient Hypoglycemia With Machine Learning Using Electronic Health Records

scientific article published on 29 April 2020

Prior Beta-Blocker Therapy for Hypertension and Sex-Based Differences in Heart Failure Among Patients With Incident Coronary Heart Disease

scientific article published on 13 July 2020

Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning

scientific article published on 26 July 2018

Protein Family-specific Models using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data

scholarly article by Fergus Imrie et al published 1 October 2018 in Journal of Chemical Information and Modeling

Retrospective cohort study of admission timing and mortality following COVID-19 infection in England

scientific article published on 23 November 2020

Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification ⬇️

scientific article published in November 2020

Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge

scientific article published on 18 April 2023

Sex Differences in Modifiable Risk Factors and Severity of Coronary Artery Disease

scientific article published on 28 September 2020

Sex Differences in Outcomes After STEMI: Effect Modification by Treatment Strategy and Age

scientific article published on 01 May 2018

Sex-Related Differences in Heart Failure After ST-Segment Elevation Myocardial Infarction

scientific article published on 01 November 2019

Sex-Specific Treatment Effects After Primary Percutaneous Intervention: A Study on Coronary Blood Flow and Delay to Hospital Presentation

Stackelberg Contention Games in Multiuser Networks

Strictly Batch Imitation Learning by Energy-based Distribution Matching ⬇️

scientific article published in November 2020

The Value of Patient and Tumor Factors in Predicting Preoperative Breast MRI Outcomes

scientific article published on 10 July 2020

Time-series Generative Adversarial Networks ⬇️

Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening.

scientific article published on 20 March 2015

VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain ⬇️

scientific article published in November 2020

When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes ⬇️

scientific article published in November 2020

List of works by Mihaela van der Schaar

3-band motion-compensated temporal structures for scalable video coding

A Hierarchical Bayesian Model for Personalized Survival Predictions

A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics ⬇️

A Rules-Based Approach for Configuring Chains of Classifiers in Real-Time Stream Mining Systems

A distributed approach for optimizing cascaded classifier topologies in real-time stream mining systems

Active Learning in Context-Driven Stream Mining With an Application to Image Mining

Anonymization through Data Synthesis using Generative Adversarial Networks (ADS-GAN)

Aspirin for primary prevention of ST segment elevation myocardial infarction in persons with diabetes and multiple risk factors

Attentive State-Space Modeling of Disease Progression ⬇️

Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition ⬇️

Between-centre differences for COVID-19 ICU mortality from early data in England

Between-centre differences for COVID-19 ICU mortality from early data in England

CASTLE: Regularization via Auxiliary Causal Graph Discovery ⬇️

CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19

Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants

Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors

Conditional Independence Testing using Generative Adversarial Networks ⬇️

Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing

DPSCREEN: Dynamic Personalized Screening ⬇️

Deep Generative Models for 3D Linker Design

Demystifying Black-box Models with Symbolic Metamodels ⬇️

Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate ⬇️

Discovering Pediatric Asthma Phenotypes Based on Response to Controller Medication Using Machine Learning.

Discovering, Learning and Exploiting Relevance ⬇️

Discovery and Clinical Decision Support for Personalized Healthcare

Dynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks

Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data

Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks

Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks ⬇️

Ethnic and regional variations in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study

From real-world patient data to individualized treatment effects using machine learning: Current and future methods to address underlying challenges

Functional Contour-following via Haptic Perception and Reinforcement Learning

Global Bandits

Gradient Regularized V-Learning for Dynamic Treatment Regimes ⬇️

How artificial intelligence and machine learning can help healthcare systems respond to COVID-19

Improving Workflow Efficiency for Mammography Using Machine Learning

Incentive-compatible demand-side management for smart grids based on review strategies

Learning outside the Black-Box: The pursuit of interpretable models ⬇️

MAC Layer Jamming Mitigation Using a Game Augmented by Intervention

Multitask Boosting for Survival Analysis with Competing Risks ⬇️

Network formation games based on conditional independence graphs

Online reinforcement learning for dynamic multimedia systems

Opportunities for machine learning to transform care for people with cystic fibrosis

OrganITE: Optimal transplant donor organ offering using an individual treatment effect ⬇️

Outcome-Oriented Deep Temporal Phenotyping of Disease Progression

Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes

Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation.

Predicting the Risk of Inpatient Hypoglycemia With Machine Learning Using Electronic Health Records

Prior Beta-Blocker Therapy for Hypertension and Sex-Based Differences in Heart Failure Among Patients With Incident Coronary Heart Disease

Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning

Protein Family-specific Models using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data

Retrospective cohort study of admission timing and mortality following COVID-19 infection in England

Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification ⬇️

Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge

Sex Differences in Modifiable Risk Factors and Severity of Coronary Artery Disease

Sex Differences in Outcomes After STEMI: Effect Modification by Treatment Strategy and Age

Sex-Related Differences in Heart Failure After ST-Segment Elevation Myocardial Infarction

Sex-Specific Treatment Effects After Primary Percutaneous Intervention: A Study on Coronary Blood Flow and Delay to Hospital Presentation

Stackelberg Contention Games in Multiuser Networks

Strictly Batch Imitation Learning by Energy-based Distribution Matching ⬇️

The Value of Patient and Tumor Factors in Predicting Preoperative Breast MRI Outcomes

Time-series Generative Adversarial Networks ⬇️

Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening.

VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain ⬇️

When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes ⬇️