Melanie F. Pradier - Concepedia

Author

Melanie F. Pradier

Harvard University

Also Known As

Melanie F. Pradier, Melanie Pradier, Pablo Olmos, Pradier, Melanie, Pradier, Melanie F.

Publications

570

Citations

H-Index

Concepts

All Affiliations

Harvard University Massachusetts General Hospital Tufts University Lemuel Shattuck Hospital

About

Melanie F. Pradier is an author at Harvard University specializing in computer science, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	36
2	Computer Science	3	3	36
3	Data Science	3	3	36
4	Medicine	1	1	29
5	Social Sciences	1	1	29

Melanie F. Pradier

Publications

518

Citations

H-Index

Page 1

	Year	Citations
How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection Maia Jacobs, Melanie F. Pradier, Thomas H. McCoy, Translational Psychiatry	2021	215
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens Maia Jacobs, Jeffrey He, Melanie F. Pradier,	2021	143
Economic complexity unfolded: Interpretable model for the productive structure of economies Zoran Utkovski, Melanie F. Pradier, Viktor Stojkoski, PLoS ONE	2018	37
Predicting treatment dropout after antidepressant initiation Melanie F. Pradier, Thomas H. McCoy, Michael C. Hughes, Translational Psychiatry	2020	34
Predicting change in diagnosis from major depression to bipolar disorder after antidepressant initiation Melanie F. Pradier, Michael C. Hughes, Thomas H. McCoy, Neuropsychopharmacology PsychiatryMood SymptomMajor DepressionDepressionPsychology	2020	29
Assessment of a Prediction Model for Antidepressant Treatment Stability Using Supervised Topic Models Michael C. Hughes, Melanie F. Pradier, Andrew Slavin Ross, JAMA Network Open	2020	24
General Latent Feature Models for Heterogeneous Datasets Isabel Valera, Melanie F. Pradier, María Lomelí, arXiv (Cornell University) Latent ModelingEngineeringMachine LearningData ScienceBayesian Hierarchical Modeling	2017	16
Latent Projection BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights. Melanie F. Pradier, Weiwei Pan, Jiayu Yao, arXiv (Cornell University) Artificial IntelligenceNetwork Parameter SpaceParameter SpaceEngineeringMachine Learning	2018	10
Output-Constrained Bayesian Neural Networks Wanqian Yang, Lars Lorch, Moritz A. Graule, arXiv (Cornell University) Artificial IntelligenceBayesian StatisticFunctional ConstraintsMachine LearningData Science	2019	10

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