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Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients

A. Colubri, T. Silver, T. Fradet, K. Retzepi, B. Fry, and P. Sabeti. PLoS Negl Trop Dis, 10 (3): 1-17 (March 2016)
DOI: 10.1371/journal.pntd.0004549

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Marieta Ioana Toma

Zentrosomenmorphologie in Prostatakarzinomen: eine immunhistologische Studie mit Korrelation zu DNA-Ploidie und kliniko-pathologischen ParameternM. Toma. TU Dresden, (2008)

Tom Walde

Tom Ritter

Tom Smolinka

Tom Grigull

Other publications of authors with the same name

Learning Neuro-Symbolic Skills for Bilevel Planning.T. Silver, A. Athalye, J. Tenenbaum, T. Lozano-Pérez, and L. Kaelbling. CoRL, volume 205 of Proceedings of Machine Learning Research, page 701-714. PMLR, (2022)Few-Shot Bayesian Imitation Learning with Logic over Programs.T. Silver, K. Allen, A. Lew, L. Kaelbling, and J. Tenenbaum. CoRR, (2019)Anticipatory Task and Motion Planning.R. Dhakal, D. Nguyen, T. Silver, X. Xiao, and G. Stein. CoRR, (2024)PG3: Policy-Guided Planning for Generalized Policy Generation.R. Yang, T. Silver, A. Curtis, T. Lozano-Pérez, and L. Kaelbling. IJCAI, page 4686-4692. ijcai.org, (2022)Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola PatientsA. Colubri, T. Silver, T. Fradet, K. Retzepi, B. Fry, and P. Sabeti. PLoS Negl Trop Dis, 10 (3): 1-17 (March 2016)Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning.R. Chitnis, T. Silver, J. Tenenbaum, T. Lozano-Pérez, and L. Kaelbling. CoRR, (2021)Learning Efficient Abstract Planning Models that Choose What to Predict.N. Kumar, W. McClinton, R. Chitnis, T. Silver, T. Lozano-Pérez, and L. Kaelbling. CoRL, volume 229 of Proceedings of Machine Learning Research, page 2070-2095. PMLR, (2023)Learning Symbolic Operators for Task and Motion Planning.T. Silver, R. Chitnis, J. Tenenbaum, L. Kaelbling, and T. Lozano-Pérez. IROS, page 3182-3189. IEEE, (2021)Learning constraint-based planning models from demonstrations.J. Loula, K. Allen, T. Silver, and J. Tenenbaum. IROS, page 5410-5416. IEEE, (2020)CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs.R. Chitnis, T. Silver, B. Kim, L. Kaelbling, and T. Lozano-Pérez. CoRL, volume 155 of Proceedings of Machine Learning Research, page 64-79. PMLR, (2020)

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Disambiguation of "Silver, Tom"

Please choose a person to relate this publication to

Marieta Ioana Toma

Tom Walde

Tom Ritter

Tom Smolinka

Tom Grigull

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Silver, Tom"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients

Please choose a person to relate this publication to

Marieta Ioana Toma

Tom Walde

Tom Ritter

Tom Smolinka

Tom Grigull

Other publications of authors with the same name

Disambiguation