| An efficient regularized K-nearest neighbor based weighted twin support vector regression M Tanveer, K Shubham, M Aldhaifallah, SS Ho Knowledge-Based Systems 94, 70-87, 2016 | 74 | 2016 |
| A regularization on Lagrangian twin support vector regression M Tanveer, K Shubham International Journal of Machine Learning and Cybernetics 8 (3), 807-821, 2017 | 36 | 2017 |
| An efficient implicit regularized Lagrangian twin support vector regression M Tanveer, K Shubham, M Aldhaifallah, KS Nisar Applied intelligence 44, 831-848, 2016 | 32 | 2016 |
| Smooth twin support vector machines via unconstrained convex minimization M Tanveer, K Shubham Filomat 31 (8), 2195-2210, 2017 | 15 | 2017 |
| “The interviewer is a machine!” Investigating the effects of conventional and technology‐mediated interview methods on interviewee reactions and behavior EP Kleinlogel, M Schmid Mast, DB Jayagopi, K Shubham, A Butera International Journal of Selection and Assessment 31 (3), 403-419, 2023 | 9 | 2023 |
| A deepfake-based study on facial expressiveness and social outcomes LA Renier, K Shubham, RS Vijay, SS Mishra, EP Kleinlogel, DB Jayagopi, ... Scientific Reports 14 (1), 3642, 2024 | 8 | 2024 |
| An opportunity to investigate the role of specific nonverbal cues and first impression in interviews using deepfake based controlled video generation RS Vijay, K Shubham, LA Renier, EP Kleinlogel, MS Mast, DB Jayagopi Companion Publication of the 2021 International Conference on Multimodal …, 2021 | 8 | 2021 |
| Hybrid unsupervised and supervised multitask learning for speech recognition in low resource languages S Raghavan, K Shubham Proc. Workshop on Machine Learning in Speech and Language Processing, 2021 | 7 | 2021 |
| Understanding interviewees’ perceptions and behaviour towards verbally and non-verbally expressive virtual interviewing agents JH Thakkar, PSB Rao, K Shubham, V Jain, DB Jayagopi Companion Publication of the 2022 International Conference on Multimodal …, 2022 | 5 | 2022 |
| Learning a deep reinforcement learning policy over the latent space of a pre-trained GAN for semantic age manipulation K Shubham, G Venkatesh, R Sachdev, DB Jayagopi, ... 2021 international joint conference on neural networks (IJCNN), 1-8, 2021 | 5 | 2021 |
| Conventional and Non-conventional Job Interviewing Methods: A Comparative Study in Two Countries K Shubham, EP Kleinlogel, A Butera, MS Mast, DB Jayagopi Proceedings of the 2020 International Conference on Multimodal Interaction …, 2020 | 5 | 2020 |
| Constructing bayesian pseudo-coresets using contrastive divergence P Tiwary, K Shubham, V Kashyap arXiv preprint arXiv:2303.11278, 2023 | 4 | 2023 |
| Multimodal Embodied Conversational Agents: A discussion of architectures, frameworks and modules for commercial applications K Shubham, LNN Venkatesan, DB Jayagopi, R Tumuluri 2022 IEEE International Conference on Artificial Intelligence and Virtual …, 2022 | 3 | 2022 |
| Review of realistic behavior and appearance generation in embodied conversational agents: A comparison between traditional and modern approaches K Shubham, A Mukherjee, DB Jayagopi Proceedings of the 2022 International Conference on Multimodal Interaction …, 2022 | 3 | 2022 |
| From low invasiveness to high control: How artificial intelligence allows to generate a large pool of standardized corpora at a lesser cost EP Kleinlogel, LA Renier, M Schmid Mast, DB Jayagopi, K Shubham Frontiers in Computer Science 5, 1069352, 2023 | 2 | 2023 |
| WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer K Shubham, A Jayagopal, SM Danish, P AP, V Rajan arXiv preprint arXiv:2405.04078, 2024 | 1 | 2024 |
| Fusing conditional submodular gan and programmatic weak supervision K Shubham, P Sastry, AP Prathosh Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 15020 …, 2024 | 1 | 2024 |
| One-shot domain adaptation for semantic face editing of real world images using StyleALAE RK Reddy, K Shubham, G Venkatesh, S Gandikota, S Khoche, ... arXiv preprint arXiv:2108.13876, 2021 | 1 | 2021 |
| One shot learning in StyleALAE: Preserving facial identity during semantic modification RKR Kotlo Budde, K Shubham, G Venkatesh, S Gandikota, S Khoche, ... Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics …, 2022 | | 2022 |
| A Hybrid Rigid and Non-Rigid Motion Approximation for Generating Realistic Listening Behavior Videos SS Mishra, K Shubham, DB Jayagopi Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics …, 2022 | | 2022 |
Dinesh Babu JayagopiHoD DSAI, Associate Professor(National Teachers Awardee), IIIT BangaloreΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα iiitb.ac.in