Estimating steady-state response of a resonant transducer in a reverberant underwater environment. - James D. George; V. K. Jain; Phillip L. Ainsleigh (ICASSP, 1988)

A constrained Newton algorithm for maximum likelihood modeling of sums of exponentials, in noise. - James D. George; Phillip L. Ainsleigh (ICASSP, 1990)

Modeling exponential signals in a dispersive multipath environment. - Phillip L. Ainsleigh; James D. George (ICASSP, 1992)

Simultaneous estimation of time-of-arrival, pole, and amplitude parameters for transient exponential signals. - James D. George; R. R. Muise; Jonathan S. Abel (ICASSP, 1992)

Full Newton and constraint methods for semilinear signal modeling. - Phillip L. Ainsleigh; James D. George (IEEE Trans. Signal Process., 1993)

Support vector regression and multilayer feed forward neural networks for non-exercise prediction of VO2max. - Mehmet Fatih Akay; Cigdem Inan Aci; Danielle I. Bradshaw; James D. George (Expert Syst. Appl., 2009)

Artificial neural network-based model for predicting VO2max from a submaximal exercise test. - Mehmet Fatih Akay; Elrasheed Ismail Mohommoud Zayid; Erman Aktürk; James D. George (Expert Syst. Appl., 2011)

Developing new VO2max prediction models from maximal, submaximal and questionnaire variables using support vector machines combined with feature selection. - Fatih Abut; Mehmet Fatih Akay; James D. George (Comput. Biol. Medicine, 2016)

A robust ensemble feature selector based on rank aggregation for developing new VO2max prediction models using support vector machines. - Fatih Abut; Mehmet Fatih Akay; James D. George (Turkish J. Electr. Eng. Comput. Sci., 2019)