Honavar, Vasant

Mobile Health Technology Evaluation

Kumar, S., Nilsen, W. J., Abernethy, A., Atienza, A., Patrick, K., Pavel, M., Riley, W. T., Shar, A., Spring, B., Spruijt-Metz, D., et al. (2013) · American Journal of Preventive Medicine

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 900

Learn++: an incremental learning algorithm for supervised neural networks

Polikar, R., Upda, L., Upda, S. S., & Honavar, V. (2001) · IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 888

RNABindRPlus: A Predictor that Combines Machine Learning and Sequence Homology-Based Methods to Improve the Reliability of Predicted RNA-Binding Residues in Proteins

Walia, R. R., Xue, L. C., Wilkins, K., El-Manzalawy, Y., Dobbs, D., & Honavar, V. (2014) · PLoS ONE

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 132

The Promise and Potential of Big Data: A Case for Discovery Informatics

Honavar, V. G. (2014) · Review of Policy Research

Scientific Computing and Data ManagementBig Data Technologies and Applications

Cited by 24