Reshma Rastogi ( nee Khemchandani)

Reshma Rastogi ( nee Khemchandani)

South Asian University

H-index: 25

Asia-India

About Reshma Rastogi ( nee Khemchandani)

Reshma Rastogi ( nee Khemchandani), With an exceptional h-index of 25 and a recent h-index of 19 (since 2020), a distinguished researcher at South Asian University, specializes in the field of Machine Learning, Twin Support Vector Machines, Optimization, financial Modelling, Image segmentation and retrieval..

His recent articles reflect a diverse array of research interests and contributions to the field:

MLGAN: Addressing Imbalance in Multilabel Learning Using Generative Adversarial Networks

Multi-label learning with missing labels using sparse global structure for label-specific features

Auxiliary Label Embedding for Multi-label Learning with Missing Labels

Discriminatory label-specific weights for multi-label learning with missing labels

Time efficient variants of twin extreme learning machine

Oblique random forests with binary and ternary decision structures and non-parallel hyperplanes classifiers

Neo-twin support vector machines for pattern classification

Imbalance multi-label data learning with label specific features

Reshma Rastogi ( nee Khemchandani) Information

University

Position

Senior Assistant Professor Computer Science

Citations(all)

3333

Citations(since 2020)

1837

Cited By

2261

hIndex(all)

25

hIndex(since 2020)

19

i10Index(all)

44

i10Index(since 2020)

33

Email

University Profile Page

South Asian University

Google Scholar

View Google Scholar Profile

Reshma Rastogi ( nee Khemchandani) Skills & Research Interests

Machine Learning

Twin Support Vector Machines

Optimization

financial Modelling

Image segmentation and retrieval.

Top articles of Reshma Rastogi ( nee Khemchandani)

Title

Journal

Author(s)

Publication Date

MLGAN: Addressing Imbalance in Multilabel Learning Using Generative Adversarial Networks

Aatif Nisar Dar

Reshma Rastogi

2023/9/21

Multi-label learning with missing labels using sparse global structure for label-specific features

Applied Intelligence

Sanjay Kumar

Nadira Ahmadi

Reshma Rastogi

2023/8

Auxiliary Label Embedding for Multi-label Learning with Missing Labels

Sanjay Kumar

Reshma Rastogi

2023/5/6

Discriminatory label-specific weights for multi-label learning with missing labels

Neural Processing Letters

Reshma Rastogi

Sanjay Kumar

2023/4

Time efficient variants of twin extreme learning machine

Intelligent Systems with Applications

Pritam Anand

Amisha Bharti

Reshma Rastogi

2023/2/1

Oblique random forests with binary and ternary decision structures and non-parallel hyperplanes classifiers

International Journal of Data Science and Analytics

Pooja Saigal

Anubhav David

Reshma Rastogi

2023/11/18

Neo-twin support vector machines for pattern classification

Sambhav Jain

Shuvo Saha Roy

Reshma Rastogi

2022/3/23

Imbalance multi-label data learning with label specific features

Neurocomputing

Reshma Rastogi

Sayed Mortaza

2022/11/7

Comprehensive review on twin support vector machines

Mohammad Tanveer

T Rajani

Reshma Rastogi

Yuan-Hai Shao

MA Ganaie

2022/3/8

Parametric non-parallel support vector machines for pattern classification

Machine Learning

Sambhav Jain

Reshma Rastogi

2022/10/19

Multi-label Minimax Probability Machine with Multi-manifold Regularisation

Research Reports on Computer Science

Sambhav Jain

Reshma Rastogi

2022

Robust Multi-task Least Squares Twin Support Vector Machines for Classification

Reshma Rastogi

Mustaffa Hussain

2022/6/26

Low rank label subspace transformation for multi-label learning with missing labels

Information Sciences

Sanjay Kumar

Reshma Rastogi

2022/6/1

Multi-label learning via minimax probability machine

International Journal of Approximate Reasoning

Reshma Rastogi

Sambhav Jain

2022/6/1

Improvement over pinball loss support vector machine

arXiv preprint arXiv:2106.01109

Pritam Anand

Reshma Rastogi

Suresh Chandra

2021/6/2

Ternary tree-based structural twin support tensor machine for clustering

Pattern Analysis and Applications

Reshma Rastogi

Sweta Sharma

2021/2

Sparse support vector machine with pinball loss

Transactions on Emerging Telecommunications Technologies

Mohammad Tanveer

Sweta Sharma

Reshma Rastogi

Pritam Anand

2021/2

Multi-label classification with missing labels using label correlation and robust structural learning

Knowledge-Based Systems

Reshma Rastogi

Sayed Mortaza

2021/10/11

Advanced machine learning algorithms for biomedical data and imaging

Mohammad Tanveer

Reshma Rastogi

Chin-Teng Lin

2021/8/1

Efficient learning of pinball twsvm using privileged information and its applications

arXiv preprint arXiv:2107.06744

Reshma Rastogi

Aman Pal

2021/7/14

See List of Professors in Reshma Rastogi ( nee Khemchandani) University(South Asian University)

Co-Authors

H-index: 93
Chin-Teng Lin

Chin-Teng Lin

University of Technology

H-index: 40
Suresh Chandra

Suresh Chandra

Indian Institute of Technology Delhi

H-index: 37
M. Tanveer, INSA Associate Fellow

M. Tanveer, INSA Associate Fellow

Indian Institute of Technology Indore

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