Publications (Google Scholar Profile)


Hybrid Unsupervised and Supervised Multitask Learning For Speech Recognition in Low Resource Languages
K.M Srinivasa Raghavan, Kumar Shubham
Workshop on Machine Learning in Speech and Language Processing(MLSLP), Interspeech. 2021.

Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation
Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan
International Joint Conference on Neural Network(IJCNN) . 2021.

Conventional and Non-conventional Job Interviewing Methods: A Comparative Study in Two Countries
Kumar Shubham, Emmanuelle Patricia Kleinlogel, Anaïs Butera, Marianne Schmid Mast Dinesh Babu Jayagopi
Conference : International Conference on Multimodal Interaction(ICMI). 2020.

A regularization on Lagrangian twin support vector regression
Muhammad Tanveer, Kumar Shubham
Journal : International Journal of Machine Learning and Cybernetics. 2017. impact factor : 4.08 (2018).

Smooth twin support vector machines via unconstrained convex minimization
Muhammad Tanveer, Kumar Shubham
Journal : Filomat. 2017. impact factor : 0.76 (2019).

An efficient regularized K-nearest neighbor based weighted twin support vector regression
Muhammad Tanveer, Kumar Shubham, Mujahed Aldhaifallah, SS Ho
Journal : Knowledge-Based Systems. 2016. impact factor : 5.101 (2018).

An efficient implicit regularized Lagrangian twin support vector regression
Muhammad Tanveer, Kumar Shubham, Mujahed Aldhaifallah, KS Nisar
Journal : Applied intelligence . 2016. impact factor : 0.988 (2018).