Melanie F. Pradier

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Finale Doshi-VelezProfessor, HarvardZweryfikowany adres z seas.harvard.edu
Roy PerlisMassachusetts General HospitalZweryfikowany adres z mgh.harvard.edu
Thomas H McCoyMassachusetts General Hospital / Harvard Medical SchoolZweryfikowany adres z mgh.harvard.edu
Fernando Perez-CruzChief Data Scientist Swiss Data Science Center and Professor T. at ETHZ--CSZweryfikowany adres z sdsc.ethz.ch
Michael C. HughesAssistant Professor of Computer Science, Tufts UniversityZweryfikowany adres z michaelchughes.com
Krzysztof GajosProfessor of Computer Science, Harvard UniversityZweryfikowany adres z eecs.harvard.edu
Maia JacobsNorthwestern UniversityZweryfikowany adres z northwestern.edu
Isabel ValeraSaarland University and Max Planck Institute for Software SystemsZweryfikowany adres z cs.uni-saarland.de
Jiayu YaoGladstone InstitutesZweryfikowany adres z gladstone.ucsf.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleZweryfikowany adres z eng.cam.ac.uk
Weiwei PanMachine Learning Researcher, Harvard UniversityZweryfikowany adres z g.harvard.edu
Viktor StojkoskiFaculty of Economics - Skopje, UKIM and Center for Collective Learning, ANITIZweryfikowany adres z eccf.ukim.edu.mk
Zoran UtkovskiFraunhofer Heinrich Hertz Institute; University American College Skopje; Macedonian Academy ofZweryfikowany adres z hhi.fraunhofer.de
Soumya GhoshMIT-IBM Watson AI Lab, IBM ResearchZweryfikowany adres z cs.brown.edu
Maria LomeliMeta AI, FAIRZweryfikowany adres z fb.com
Javier ZazoMicrosoft ResearchZweryfikowany adres z microsoft.com
Yingzhen LiImperial College LondonZweryfikowany adres z imperial.ac.uk
Ljupco KocarevMacedonian Academy of Sciences and ArtsZweryfikowany adres z manu.edu.mk
Francisco J. R. RuizResearch Scientist at DeepmindZweryfikowany adres z google.com
Andrew RossPhD student, Harvard UniversityZweryfikowany adres z g.harvard.edu

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Melanie F. Pradier

Microsoft Research

Zweryfikowany adres z microsoft.com - Strona główna

Generative modeling Healthcare Bayesian modeling Interpretable machine learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection M Jacobs, MF Pradier, TH McCoy Jr, RH Perlis, F Doshi-Velez, KZ Gajos Translational psychiatry 11 (1), 108, 2021	138	2021
Designing AI for trust and collaboration in time-constrained medical decisions: a sociotechnical lens M Jacobs, J He, M F. Pradier, B Lam, AC Ahn, TH McCoy, RH Perlis, ... Proceedings of the 2021 chi conference on human factors in computing systems …, 2021	87	2021
Economic complexity unfolded: Interpretable model for the productive structure of economies Z Utkovski, MF Pradier, V Stojkoski, F Perez-Cruz, L Kocarev PloS one 13 (8), e0200822, 2018	37	2018
Predicting treatment dropout after antidepressant initiation MF Pradier, TH McCoy Jr, M Hughes, RH Perlis, F Doshi-Velez Translational psychiatry 10 (1), 60, 2020	24	2020
Output-constrained Bayesian neural networks W Yang, L Lorch, MA Graule, S Srinivasan, A Suresh, J Yao, MF Pradier, ... arXiv preprint arXiv:1905.06287, 2019	22	2019
Preferential mixture-of-experts: Interpretable models that rely on human expertise as much as possible MF Pradier, J Zazo, S Parbhoo, RH Perlis, M Zazzi, F Doshi-Velez AMIA Summits on Translational Science Proceedings 2021, 525, 2021	16	2021
General latent feature models for heterogeneous datasets I Valera, MF Pradier, M Lomeli, Z Ghahramani The Journal of Machine Learning Research 21 (1), 4027-4075, 2020	15	2020
Emotion recognition from speech signals and perception of music MF Pradier Universität Stuttgart Institut für Systemtheorie und Bildschirmtechnik …, 2011	15	2011
Predicting change in diagnosis from major depression to bipolar disorder after antidepressant initiation MF Pradier, MC Hughes, TH McCoy Jr, SA Barroilhet, F Doshi-Velez, ... Neuropsychopharmacology 46 (2), 455-461, 2021	13	2021
General latent feature models for heterogeneous datasets I Valera, MF Pradier, M Lomeli, Z Ghahramani arXiv preprint arXiv:1706.03779, 2017	13	2017
Assessment of a prediction model for antidepressant treatment stability using supervised topic models MC Hughes, MF Pradier, AS Ross, TH McCoy, RH Perlis, F Doshi-Velez JAMA Network Open 3 (5), e205308-e205308, 2020	11	2020
Latent projection bnns: Avoiding weight-space pathologies by learning latent representations of neural network weights MF Pradier, W Pan, J Yao, S Ghosh, F Doshi-Velez Workshop on Bayesian Deep Learning, NIPS, 2018	11	2018
Repairing Neural Networks by Leaving the Right Past Behind R Tanno, M F Pradier, A Nori, Y Li Advances in Neural Information Processing Systems 35, 13132-13145, 2022	10	2022
General latent feature modeling for data exploration tasks I Valera, MF Pradier, Z Ghahramani arXiv preprint arXiv:1707.08352, 2017	10	2017
Prior design for dependent Dirichlet processes: An application to marathon modeling M F. Pradier, F JR Ruiz, F Perez-Cruz PloS one 11 (1), e0147402, 2016	10	2016
Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights MF Pradier, W Pan, J Yao, S Ghosh, F Doshi-Velez arXiv preprint arXiv:1811.07006, 2018	8	2018
Challenges in computing and optimizing upper bounds of marginal likelihood based on chi-square divergences MF Pradier, MC Hughes, F Doshi-Velez Second Symposium on Advances in Approximate Bayesian Inference, 2019	7	2019
Evaluating approximate inference in Bayesian deep learning AG Wilson, P Izmailov, MD Hoffman, Y Gal, Y Li, MF Pradier, S Vikram, ... NeurIPS 2021 Competitions and Demonstrations Track, 113-124, 2022	6	2022
Case-control Indian buffet process identifies biomarkers of response to Codrituzumab MF Pradier, B Reis, L Jukofsky, F Milletti, T Ohtomo, F Perez-Cruz, O Puig BMC cancer 19, 1-7, 2019	6	2019
Sparse three-parameter restricted indian buffet process for understanding international trade MF Pradier, V Stojkoski, Z Utkovski, L Kocorev, F Perez-Cruz 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018	6	2018

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