A generalized model for multi-marker analysis of cell cycle progression in synchrony experiments. - Michael B. Mayhew; Joshua W. Robinson; Boyoun Jung; Steven B. Haase; Alexander J. Hartemink (Bioinform., 2011)

Close Encounters of the Collaborative Kind. - Michael B. Mayhew; Xin Guo; Steven B. Haase; Alexander J. Hartemink (Computer, 2012)

Cell-cycle phenotyping with conditional random fields: A case study in Saccharomyces cerevisiae. - Michael B. Mayhew; Alexander J. Hartemink (ISBI, 2013)

Assessing semantic information in convolutional neural network representations of images via image annotation. - Michael B. Mayhew; Barry Chen; Karl S. Ni (ICIP, 2016)

Facial Expression Recognition Using a Large Out-of-Context Dataset. - Elizabeth Tran; Michael B. Mayhew; Hyojin Kim 001; Piyush Karande; Alan David Kaplan (WACV Workshops, 2018)

Flexible, cluster-based analysis of the electronic medical record of sepsis with composite mixture models. - Michael B. Mayhew; Brenden K. Petersen; Ana Paula Sales; John D. Greene; Vincent X. Liu; Todd S. Wasson (J. Biomed. Informatics, 2018)

Optimization of genomic classifiers for clinical deployment: evaluation of Bayesian optimization for identification of predictive models of acute infection and in-hospital mortality. - Michael B. Mayhew; Elizabeth Tran; Kirindi Choi; Uros Midic; Roland Lüthy; Nandita Damaraju; Ljubomir J. Buturovic (CoRR, 2020)

Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and In-Hospital Mortality. - Michael B. Mayhew; Elizabeth Tran; Kirindi Choi; Uros Midic; Roland Lüthy; Nandita Damaraju; Ljubomir J. Buturovic (PSB, 2021)

Development of Machine Learning Classifiers for Blood-based Diagnosis and Prognosis of Suspected Acute Infections and Sepsis. - Ljubomir 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; et al. (ML4H@NeurIPS, 2024)