Priyadarshini Kumari

About Priyadarshini Kumari

Priyadarshini Kumari, With an exceptional h-index of 4 and a recent h-index of 3 (since 2020), a distinguished researcher at Indian Institute of Technology Bombay, specializes in the field of Active learning, Perceptual metrics, Haptic perception, Machine learning.

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

Link Prediction for Hypothesis Generation: An Active Curriculum Learning Infused Temporal Graph-Based Approach

Perceptual metrics for odorants: Learning from non-expert similarity feedback using machine learning

FRUNI and FTREE synthetic knowledge graphs for evaluating explainability

Comparing molecular representations, e-nose signals, and other featurization, for learning to smell aroma molecules

Optimizing Learning Across Multimodal Transfer Features for Modeling Olfactory Perception

Enhancing Haptic Distinguishability of Surface Materials With Boosting Technique

Batch decorrelation for active metric learning

Label efficient triplet based metric learning

Priyadarshini Kumari Information

University

Position

PhD Student

Citations(all)

58

Citations(since 2020)

38

Cited By

28

hIndex(all)

4

hIndex(since 2020)

3

i10Index(all)

2

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

Priyadarshini Kumari Skills & Research Interests

Active learning

Perceptual metrics

Haptic perception

Machine learning

Top articles of Priyadarshini Kumari

Link Prediction for Hypothesis Generation: An Active Curriculum Learning Infused Temporal Graph-Based Approach

2023/11/8

Priyadarshini Kumari
Priyadarshini Kumari

H-Index: 3

Perceptual metrics for odorants: Learning from non-expert similarity feedback using machine learning

Plos one

2023/11/8

Priyadarshini Kumari
Priyadarshini Kumari

H-Index: 3

FRUNI and FTREE synthetic knowledge graphs for evaluating explainability

2023/10/27

Priyadarshini Kumari
Priyadarshini Kumari

H-Index: 3

Comparing molecular representations, e-nose signals, and other featurization, for learning to smell aroma molecules

Plos one

2023/8/11

Tanoy Debnath
Tanoy Debnath

H-Index: 3

Priyadarshini Kumari
Priyadarshini Kumari

H-Index: 3

Optimizing Learning Across Multimodal Transfer Features for Modeling Olfactory Perception

2023

Priyadarshini Kumari
Priyadarshini Kumari

H-Index: 3

Enhancing Haptic Distinguishability of Surface Materials With Boosting Technique

2022/3/21

Batch decorrelation for active metric learning

2021/1/7

Label efficient triplet based metric learning

2021

Priyadarshini Kumari
Priyadarshini Kumari

H-Index: 3

A unified batch selection policy for active metric learning

arXiv preprint arXiv:2102.07365

2021/2/15

Haptic Rendering of Cultural Heritage Objects at Different Scales

2012

Combined Hapto-Visual and Auditory Rendering of Cultural Heritage Objects

2014/11/1

Priyadarshini Kumari
Priyadarshini Kumari

H-Index: 3

Subhasis Chaudhuri
Subhasis Chaudhuri

H-Index: 7

Boosted Semantic Embedding based Discriminative Feature Generation for Texture Analysis

Transformation

2020

Priyadarshini Kumari
Priyadarshini Kumari

H-Index: 3

Subhasis Chaudhuri
Subhasis Chaudhuri

H-Index: 7

See List of Professors in Priyadarshini Kumari University(Indian Institute of Technology Bombay)

Co-Authors

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