Melanie F. Pradier
Publications by Year
Research Areas
Bayesian Methods and Mixture Models, Statistical Methods and Inference, Treatment of Major Depression, Cytokine Signaling Pathways and Interactions, Adversarial Robustness in Machine Learning
Most-Cited Works
- → How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection(2021)220 cited
- → Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens(2021)145 cited
- → Economic complexity unfolded: Interpretable model for the productive structure of economies(2018)37 cited
- → Predicting treatment dropout after antidepressant initiation(2020)35 cited
- → Predicting change in diagnosis from major depression to bipolar disorder after antidepressant initiation(2020)30 cited
- → Assessment of a Prediction Model for Antidepressant Treatment Stability Using Supervised Topic Models(2020)25 cited
- → General Latent Feature Models for Heterogeneous Datasets(2017)16 cited
- Latent Projection BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights.(2018)
- → Output-Constrained Bayesian Neural Networks(2019)10 cited
- → Repairing Neural Networks by Leaving the Right Past Behind(2022)8 cited