1. Aluru, M., Shrivastava, H., Chockalingam, S.P., Shivakumar, S., Aluru, S.: EnGRaiN: a supervised ensemble learning method for recovery of large-scale gene regulatory networks. Bioinformatics 38, 1312–1319 (2021)
2. Banerjee, O., Ghaoui, L.E., d’Aspremont, A.: Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data. J. Mach. Learn. Rese. 9, 485–516 (2008)
3. Belilovsky, E., Kastner, K., Varoquaux, G., Blaschko, M.B.: Learning to discover sparse graphical models. In: International Conference on Machine Learning, pp. 440–448. PMLR (2017)
4. Bhattacharya, S., Rajan, V., Shrivastava, H.: ICU mortality prediction: a classification algorithm for imbalanced datasets. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 31 (2017)
5. Bhattacharya, S., Rajan, V., Shrivastava, H.: Methods and systems for predicting mortality of a patient, US Patent 10,463,312, 5 November 2019