Sudeshna Sarkar

About Sudeshna Sarkar

Sudeshna Sarkar, With an exceptional h-index of 31 and a recent h-index of 21 (since 2020), a distinguished researcher at Indian Institute of Technology Kharagpur, specializes in the field of Natural Language Processing, Machine Learning, Artificial Intelligence, Recommender Systems.

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

Improved Session-based Recommender Systems using Curriculum Learning

Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies

Statistical downscaling of high-resolution precipitation in India using convolutional long short-term memory networks

Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models

Finding hierarchy of clusters

Ad-hoc platoon formation and dissolution strategies for multi-lane highways

Meta-ED: Cross-lingual Event Detection using Meta-learning for Indian Languages

Fine-grain Cluster Estimation of Land Cover Classes using Landsat 8 Multispectral images

Sudeshna Sarkar Information

University

Position

Department of Computer Science & Engineering

Citations(all)

3204

Citations(since 2020)

1455

Cited By

2903

hIndex(all)

31

hIndex(since 2020)

21

i10Index(all)

68

i10Index(since 2020)

43

Email

University Profile Page

Google Scholar

Sudeshna Sarkar Skills & Research Interests

Natural Language Processing

Machine Learning

Artificial Intelligence

Recommender Systems

Top articles of Sudeshna Sarkar

Title

Journal

Author(s)

Publication Date

Improved Session-based Recommender Systems using Curriculum Learning

Intelligent Systems with Applications

Madiraju Srilakshmi

Sudeshna Sarkar

2024/4/20

Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies

arXiv preprint arXiv:2404.04361

Alapan Kuila

Sudeshna Sarkar

2024/4/5

Statistical downscaling of high-resolution precipitation in India using convolutional long short-term memory networks

Journal of Water and Climate Change

Saptarshi Misra

Sudeshna Sarkar

Pabitra Mitra

Hiteshri Shastri

2024/2/8

Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models

arXiv preprint arXiv:2402.02145

Alapan Kuila

Somnath Jena

Sudeshna Sarkar

Partha Pratim Chakrabarti

2024/2/3

Finding hierarchy of clusters

Pattern Recognition Letters

Shankho Subhra Pal

Jayanta Mukhopadhyay

Sudeshna Sarkar

2024/2/1

Ad-hoc platoon formation and dissolution strategies for multi-lane highways

Journal of Intelligent Transportation Systems

Santa Maiti

Stephan Winter

Lars Kulik

Sudeshna Sarkar

2023/3/4

Meta-ED: Cross-lingual Event Detection using Meta-learning for Indian Languages

ACM Transactions on Asian and Low-Resource Language Information Processing

Aniruddha Roy

Isha Sharma

Sudeshna Sarkar

Pawan Goyal

2023/2/21

Fine-grain Cluster Estimation of Land Cover Classes using Landsat 8 Multispectral images

Shankho Subhra Pal

Ankita Chatterjee

Jayanta Mukhopadhyay

Sudeshna Sarkar

Partha Pratim Das

2023/12/15

Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language Models

Subhankar Maity

Aniket Deroy

Sudeshna Sarkar

2023/12/15

A Deep Concurrent Learning-Based Robust and Optimal Energy Management Strategy for Hybrid Energy Storage Systems in Plug-in Hybrid Electric Vehicles

Nilanjan Mukhcrjee

Sudeshna Sarkar

2023/10/24

Semi-Supervised Semantic Segmentation of Hyper-Spectral Images

Shankho Subhra Pal

Jayanta Mukhopadhyay

Sudeshna Sarkar

2023/7/16

Estimating Cluster numbers in Landsat-8 images using Stability Analysis

Ankita Chatterjee

Shankho Subhra Pal

Jayanta Mukhopadhyay

Partha Pratim Das

Sudeshna Sarkar

2023/7/13

'If you build they will come': Automatic Identification of News-Stakeholders to detect Party Preference in News Coverage

arXiv preprint arXiv:2212.08864

Alapan Kuila

Sudeshna Sarkar

2022/12/17

ArgGen: Prompting Text Generation Models for Document-Level Event-Argument Aggregation

Debanjana Kar

Sudeshna Sarkar

Pawan Goyal

2022/11

Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?

Aniruddha Roy

Rupak Kumar Thakur

Isha Sharma

Ashim Gupta

Amrith Krishna

...

2022/10

Delineating Variabilities of Groundwater Level Prediction Across the Agriculturally Intensive Transboundary Aquifers of South Asia

ACS ES&T Water

Pragnaditya Malakar

Soumendra N Bhanja

Adya Aiswarya Dash

Dipankar Saha

Ranjan Kumar Ray

...

2022/8/31

Two-stage system using item features for next-item recommendation

Intelligent Systems with Applications

Madiraju Srilakshmi

Gourab Chowdhury

Sudeshna Sarkar

2022/5/1

Towards Reducing the Pendency of Cases at Court: Automated Case Analysis of Supreme Court Judgments in India

Legal Knowledge and Information Systems: JURIX 2021: The Thirty-fourth Annual Conference, Vilnius, Lithuania, 8-10 December 2021

E Schweighofer

2022/1/6

Intelligent Systems with Applications

Inam Ullah Khan

Sami Azam

Sidratul Montaha

Abdullah Al Mahmud

AKM Rakibu

...

2019

ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation

arXiv preprint arXiv:2106.10862

Debanjana Kar

Sudeshna Sarkar

Pawan Goyal

2021/6/21

See List of Professors in Sudeshna Sarkar University(Indian Institute of Technology Kharagpur)

Co-Authors

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