Suchi Saria
Orcid: 0000-0002-7667-5210Affiliations:
- Johns Hopkins University, Baltimore, MD, USA
According to our database1,
Suchi Saria
authored at least 60 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on twitter.com
-
on orcid.org
-
on dl.acm.org
On csauthors.net:
Bibliography
2024
2023
Biomonitoring and precision health in deep space supported by artificial intelligence.
Nat. Mac. Intell., March, 2023
Biological research and self-driving labs in deep space supported by artificial intelligence.
Nat. Mac. Intell., March, 2023
Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift.
Proceedings of the International Conference on Machine Learning, 2023
Efficient Approximate Predictive Inference Under Feedback Covariate Shift with Influence Functions.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023
2022
Human-machine teaming is key to AI adoption: clinicians' experiences with a deployed machine learning system.
npj Digit. Medicine, 2022
A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission models.
J. Am. Medical Informatics Assoc., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs.
CoRR, 2021
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health.
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Making Health AI Work in the Real World: Strategies, innovations, and best practices for using AI to improve care delivery.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
CoRR, 2020
2019
The Hierarchy of Stable Distributions and Operators to Trade Off Stability and Performance.
CoRR, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms.
CoRR, 2018
Counterfactual Normalization: Proactively Addressing Dataset Shift Using Causal Mechanisms.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
2017
Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions.
CoRR, 2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
Mach. Learn., 2016
Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses.
J. Mach. Learn. Res., 2016
High Frequency Remote Monitoring of Parkinson's Disease via Smartphone: Platform Overview and Medication Response Detection.
CoRR, 2016
A Bayesian Nonparametic Approach for Estimating Individualized Treatment-Response Curves.
CoRR, 2016
A Non-parametric Bayesian Approach for Estimating Treatment-Response Curves from Sparse Time Series.
Proceedings of the 1st Machine Learning in Health Care, 2016
Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the Summit on Clinical Research Informatics, 2016
2015
CoRR, 2015
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
A Probabilistic Graphical Model for Individualizing Prognosis in Chronic, Complex Diseases.
Proceedings of the AMIA 2015, 2015
Learning a Severity Score for Sepsis: A Novel Approach based on Clinical Comparisons.
Proceedings of the AMIA 2015, 2015
Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
A $3 Trillion Challenge to Computational Scientists: Transforming Healthcare Delivery.
IEEE Intell. Syst., 2014
Proceedings of the AMIA 2014, 2014
2013
Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls.
Proceedings of the AMIA 2013, 2013
2011
The digital patient: machine learning techniques for analyzing electronic health record data.
PhD thesis, 2011
Convex envelopes of complexity controlling penalties: the case against premature envelopment.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Proceedings of the IJCAI 2011, 2011
2010
CoRR, 2010
2007
2004
Proceedings of the Thirteenth Text REtrieval Conference, 2004
Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling (ICAPS 2004), 2004