GBSVR: Granular Ball Support Vector Regression
Rastogi, Reshma, Ankush Bisht, Sanjay Kumar, and Suresh Chandra. "GBSVR: Granular Ball Support Vector Regression. "arXiv preprint arXiv (2025).
CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Addressing Multi-Label Learning with Missing Labels via Feature Relevance guided Scaled Model Coefficients
Kumar, Sanjay, and Reshma Rastogi. "Addressing Multi-Label Learning with Missing Labels via Feature Relevance guided Scaled Model Coefficients." In International Conference on Pattern Recognition, Springer Nature Switzerlan, 2024
Auxiliary label embedding for multi-label learning with missing labels
Kumar, Sanjay, and Reshma Rastogi. "Auxiliary label embedding for multi-label learning with missing labels." In Computer Vision and Machine Intelligence: Proceedings of CVMI 2022
Multi-label learning with missing labels using sparse global structure for label-specific features
Kumar, Sanjay, Nadira Ahmadi, and Reshma Rastogi. "Multi-label learning with missing labels using sparse global structure for label-specific features. "Applied Intelligence (2023).
Discriminatory Label-specific Weights for Multi-label Learning with Missing Labels
Rastogi, Reshma, and Sanjay Kumar. "Discriminatory label-specific weights for multi-label learning with missing labels. "Neural Processing Letters (2023).
Low rank label subspace transformation for multi-label learning with missing labels
Kumar, Sanjay, and Reshma Rastogi. "Low rank label subspace transformation for multi-label learning with missing labels. "Information Sciences (2022).
Talks
Code and Data with Python
Workshop at Mahendranagar, Kanchanpur, Nepal, Central Office Far Western University, Nepal
Classical/Deep learning approaches for diagnosing Neurodegenerative Diseases.
Hands-on at Artificial Intelligence/Machine Learning (AI/ML) Approach for Neurodegenerative Disorders (2025), Two-days workshop on Healthcare Research, South Asian University, India
Applied Machine Learning with Real-World Economic Data
Tutorial at Workshop on Machine Learning and Economics (WMLE 2024), South Asian University, India
ALEML, Conference Proceeding CVMI
Conference proceedings talk at CVMI Conference, IIIT Allahbad, Prayagraj, Uttar Pardesh, India
Teaching
Service and leadership
- Currently signed in to 43 different slack teams