Skip to main content
|
Computational Precision Health
Toggle navigation
Alaa Lab
Search Terms
Submit Search
Home
People
Lab Members
Ahmed Alaa
Publications
All Publications
NeurIPS, ICML & ICLR
Software
Github
Hugging Face
Lab Meetings
News
All Publications
Keywords
Author
Topics
- Any -
Publication type
- Any -
AAAI
AISTATS
BMJ Open
CHIL
Clinical Pharmacology and Therapeutics
ICLR
ICML
ICML Workshop on Computational Frameworks for Personalization
ICML Workshop on Principled Approaches to Deep Learning
IEEE Journal of Biomedical and Health Informatics
IEEE Journal of Selected Topics in Signal Processing
IEEE Transactions on Biomedical Engineering
IEEE Transactions on Cognitive Communications and Networking
IEEE Transactions on Multimedia
IEEE Transactions on Network Science and Engineering
Intensive Care Medicine (ICM)
Journal Article
Journal of Cystic Fibrosis
Journal of Data-centric Machine Learning Research (DMLR)
Journal of Machine Learning Research (JMLR)
Machine Learning
Nature Machine Intelligence
Nature Scientific Reports
NeurIPS
NeurIPS R0-FoMo Workshop
NHS Digital
NIPS Workshop on Machine Learning for Health
npj Breast Cancer
NPJ digital medicine
Pacific Symposium on Biocomputing (PSB)
PLOS Digital Health
PLOS ONE
Preprint
Radiology: Imaging Cancer
The Lancet Digital Health
World Journal of Surgery
Title
Author
Year
Publication type
Prognostication and risk factors for cystic fibrosis via automated machine learning
Ahmed Alaa
; Mihaela van der Schaar
2018
Nature Scientific Reports
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design
Ahmed Alaa
; Mihaela van der Schaar
2018
ICML
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks
Bryan Lim;
Ahmed Alaa
; Mihaela van der Schaar
2018
NeurIPS
Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation
Jinsung Yoon; William R Zame; Amitava Banerjee; Martin Cadeiras;
Ahmed Alaa
; Mihaela van der Schaar
2018
PLOS ONE
A Micro-foundation of Social Capital in Evolving Social Networks
Ahmed Alaa
; Kartik Ahuja; Mihaela van der Schaar
2018
IEEE Transactions on Network Science and Engineering
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
Ahmed Alaa
; Mihaela van der Schaar
2018
ICML
Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes
Ahmed Alaa
; Jinsung Yoon; Scott Hu; Mihaela van der Schaar
2018
IEEE Transactions on Biomedical Engineering
Deep multi-task gaussian processes for survival analysis with competing risks
Ahmed Alaa
; Mihaela van der Schaar
2017
NeurIPS
Personalized Donor-Recipient Matching for Organ Transplantation
Jinsung Yoon;
Ahmed Alaa
; Martin Cadeiras; Mihaela van der Schaar
2017
AAAI
Deep Counterfactual Networks with Propensity-Dropout
Ahmed Alaa
; Michael Weisz; Mihaela van der Schaar
2017
ICML Workshop on Principled Approaches to Deep Learning
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis
Ahmed Alaa
; Scott Hu; Mihaela van der Schaar
2017
ICML
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes
Ahmed Alaa
; Mihaela van der Schaar
2017
NeurIPS
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition
Ahmed Alaa
; Mihaela van der Schaar
2016
NeurIPS
A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data
Ahmed Alaa
; Jinsung Yoon; Scott Hu; Mihaela van der Schaar
2016
NIPS Workshop on Machine Learning for Health
Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts
Ahmed Alaa
; Jinsung Yoon; Scott Hu; Mihaela van der Schaar
2016
ICML Workshop on Computational Frameworks for Personalization
« first
All Publications
‹ previous
All Publications
1
of 6 All Publications
2
of 6 All Publications
3
of 6 All Publications
4
of 6 All Publications
5
of 6 All Publications (Current page)
6
of 6 All Publications
next ›
All Publications
last »
All Publications
Interested in More?
Check out our Rising Stars Series.