Barbara E. Engelhardt
Orcid: 0000-0002-6139-7334Affiliations:
- Stanford University, CA, USA
According to our database1,
Barbara E. Engelhardt
authored at least 49 papers
between 2000 and 2023.
Collaborative distances:
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Bibliography
2023
IEEE Trans. Signal Process., 2023
CoRR, 2023
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations.
Proceedings of the Machine Learning for Health, 2023
2022
BMC Bioinform., 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Causal network inference from gene transcriptional time-series response to glucocorticoids.
PLoS Comput. Biol., 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
COP-E-CAT: cleaning and organization pipeline for EHR computational and analytic tasks.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
BMC Medical Informatics Decis. Mak., 2020
BMC Bioinform., 2020
Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Bioinform., 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
netNMF-sc: A Network Regularization Algorithm for Dimensionality Reduction and Imputation of Single-Cell Expression Data.
Proceedings of the Research in Computational Molecular Biology, 2019
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Predicting Sick Patient Volume in a Pediatric Outpatient Setting using Time Series Analysis.
Proceedings of the Machine Learning for Healthcare Conference, 2019
2018
Clustering gene expression time series data using an infinite Gaussian process mixture model.
PLoS Comput. Biol., 2018
How algorithmic confounding in recommendation systems increases homogeneity and decreases utility.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Context Specific and Differential Gene Co-expression Networks via Bayesian Biclustering.
PLoS Comput. Biol., 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
2013
Stability selection for regression-based models of transcription factor-DNA binding specificity.
Bioinform., 2013
2006
Proceedings of the Machine Learning, 2006
2005
PLoS Comput. Biol., 2005
2003
2002
2001
Balancing deliberation and reaction, planning and execution for space robotic applications.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001
2000
Empirical Evaluation of Local Search Methods for Adapting Planning Policies in a Stochastic Environment.
Proceedings of the Local Search for Planning and Scheduling, 2000
Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, 2000