Michael B. Mayhew - researchr alias

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Viewing Publication 1 - 8 from 8

2024

Development of Machine Learning Classifiers for Blood-based Diagnosis and Prognosis of Suspected Acute Infections and SepsisLjubomir J. Buturovic, Michael B. Mayhew, Roland Lüthy, Kirindi Choi, Uros Midic, Nandita Damaraju, Yehudit Hasin-Brumshtein, Amitesh Pratap, Rhys M. Adams, João F. Henriques, Ambika Srinath, Paul Fleming, Claudia Pereira, Oliver Liesenfeld, Purvesh Khatri, Timothy Sweeney. ml4h 2024: 154-170 [doi]

2021

Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and In-Hospital MortalityMichael B. Mayhew, Elizabeth Tran, Kirindi Choi, Uros Midic, Roland Lüthy, Nandita Damaraju, Ljubomir J. Buturovic. psb 2020: [doi]

2018

Flexible, cluster-based analysis of the electronic medical record of sepsis with composite mixture modelsMichael B. Mayhew, Brenden K. Petersen, Ana Paula Sales, John D. Greene, Vincent X. Liu, Todd S. Wasson. jbi, 78:33-42, 2018. [doi]

Facial Expression Recognition Using a Large Out-of-Context DatasetElizabeth Tran, Michael B. Mayhew, HyoJin Kim, Piyush Karande, Alan D. Kaplan. wacv 2018: 52-59 [doi]

2016

Assessing semantic information in convolutional neural network representations of images via image annotationMichael B. Mayhew, Barry Chen, Karl S. Ni. icip 2016: 2266-2270 [doi]

2013

Cell-cycle phenotyping with conditional random fields: A case study in Saccharomyces cerevisiaeMichael B. Mayhew, Alexander J. Hartemink. In ISBI. 2013: 1062-1065 [doi]

2012

Close Encounters of the Collaborative KindMichael B. Mayhew, Xin Guo, Steven B. Haase, Alexander J. Hartemink. Computer, 45(3):24-30, 2012. [doi]

2011

A generalized model for multi-marker analysis of cell cycle progression in synchrony experimentsMichael B. Mayhew, Joshua W. Robinson, Boyoun Jung, Steven B. Haase, Alexander J. Hartemink. bioinformatics, 27(13):295-303, 2011. [doi]

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