Knowledge Discovery from Semi-Structured Data for Conceptual Organization. - Saurabh Gupta; Rohit Goyal; Kumar Shubham; Lipika Dey; A. Malik; Santanu Chaudhury; S. Bhattacharya (IAT Workshops, 2006)

A Rough-Fuzzy Ontology Generation Framework and Its Application to Bio-medical Text Processing. - Lipika Dey; Muhammad Abulaish; Rohit Goyal; Kumar Shubham (AWIC, 2007)

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 (ICMI, 2020)

Enhancing Sensitivity of Fiber Bragg Grating-Based Temperature Sensors through Teflon Coating. - Dhanalakshmi Samiappan; A. V. S. Kesarikiran; Venkatesh Chakravartula; C. R. Uma Kumari; Kumar Shubham; Bolisetty Aakash; R. Kumar 001 (Wirel. Pers. Commun., 2020)

Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution. - Marcos V. Conde; Kumar Shubham; Prateek Agnihotri; Nitin D. Movva; Szilard Bessenyei (CLEF (Working Notes), 2021)

An Opportunity to Investigate the Role of Specific Nonverbal Cues and First Impression in Interviews using Deepfake Based Controlled Video Generation. - Rahil Satyanarayan Vijay; Kumar Shubham; Laetitia Aurelie Renier; Emmanuelle Patricia Kleinlogel; Marianne Schmid Mast; Dinesh Babu Jayagopi (ICMI Companion, 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 001 (IJCNN, 2021)

A Multi Task Approach to Improve Face and Body Generation in Pose Transfer. - Roopak Rastogi; Kumar Shubham; Dinesh Babu Jayagopi (IVSP, 2021)

One-shot domain adaptation for semantic face editing of real world images using StyleALAE. - Ravi Kiran Reddy; Kumar Shubham; Gopalakrishnan Venkatesh; Sriram Gandikota; Sarthak Khoche; Dinesh Babu Jayagopi; Gopalakrishnan Srinivasaraghavan 001 (CoRR, 2021)

Multimodal Embodied Conversational Agents: A discussion of architectures, frameworks and modules for commercial applications. - Kumar Shubham; Laxmi Narayen Nagarajan Venkatesan; Dinesh Babu Jayagopi; Raj Tumuluri (AIVR, 2022)

Review of realistic behavior and appearance generation in embodied conversational agents: A comparison between traditional and modern approaches. - Kumar Shubham; Anirban Mukherjee; Dinesh Babu Jayagopi (ICMI, 2022)

Understanding Interviewees' Perceptions and Behaviour towards Verbally and Non-verbally Expressive Virtual Interviewing Agents. - Jinal Hitesh Thakkar; Pooja Rao S. B.; Kumar Shubham; Vaibhav Jain; Dinesh Babu Jayagopi (ICMI Companion, 2022)

One shot learning in StyleALAE: Preserving facial identity during semantic modification. - Ravi Kiran Reddy Kotlo Budde; Kumar Shubham; Gopalakrishnan Venkatesh; Sriram Gandikota; Sarthak Khoche; Dinesh Babu Jayagopi; Gopalakrishnan Srinivasaraghavan 001 (ICVGIP, 2022)

A Hybrid Rigid and Non-Rigid Motion Approximation for Generating Realistic Listening Behavior Videos. - Swasti Shreya Mishra; Kumar Shubham; Dinesh Babu Jayagopi (ICVGIP, 2022)

Constructing Bayesian Pseudo-Coresets using Contrastive Divergence. - Piyush Tiwary; Kumar Shubham; Vivek Kashyap; Prathosh A. P. (CoRR, 2023)

From low invasiveness to high control: how artificial intelligence allows to generate a large pool of standardized corpora at a lesser cost. - Emmanuelle Patricia Kleinlogel; Laetitia A. Renier; Marianne Schmid Mast; Dinesh Babu Jayagopi; Kumar Shubham (Frontiers Comput. Sci., 2023)

Predictive Learning Methods to Price European Options Using Ensemble Model and Multi-asset Data. - Kumar Shubham; Vivek Tiwari; Kuldip Singh Patel (Int. J. Artif. Intell. Tools, 2023)

Fusing Conditional Submodular GAN and Programmatic Weak Supervision. - Kumar Shubham; Pranav Sastry; Prathosh AP (AAAI, 2024)

WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer. - Kumar Shubham; Aishwarya Jayagopal; Syed Mohammed Danish; Prathosh A. P.; Vaibhav Rajan (ICML, 2024)

Bayesian Pseudo-Coresets via Contrastive Divergence. - Piyush Tiwary; Kumar Shubham; Vivek Kashyap; Prathosh A. P. (UAI, 2024)

Application of ANN for prediction of settlement of ring foundation. - Dipendra Chandra Swarnkar; Akhileshwar Kumar Singh; Kumar Shubham (Signal Image Video Process., 2024)