Visualisation of massive data from scholarly Article and Journal Database A Novel Scheme. - Gouri Ginde (CoRR, 2016)

ScientoBASE: a framework and model for computing scholastic indicators of non-local influence of journals via native data acquisition algorithms. - Gouri Ginde; Snehanshu Saha; Archana Mathur; Sukrit Venkatagiri; Sujith Vadakkepat; Anand M. Narasimhamurthy; B. S. Daya Sagar (Scientometrics, 2016)

Use of NoSQL Database and Visualization Techniques to Analyze Massive Scholarly Article Data from Journals. - Gouri Ginde; Snehanshu Saha; Archana Mathur; Harsha Vamsi; Sudeepa Roy Dey; Swati Sampatrao Gambhire (J. Sci. Res., 2018)

SES-RREF: The Machine Learning Approach to Credible Metrics of Scholastic Evidence via Recursive Referencing. - Archana Mathur; Snehanshu Saha; Saibal Kar; Gouri Ginde; Ankit Sinha (J. Sci. Res., 2019)

Automatic Domain-Specific Corpora Generation from Wikipedia - A Replication Study. - Seniru Ruwanpura; Cale Morash; Momin Ali Khan; Adnan Ahmad; Gouri Ginde (REW, 2023)

PRAGyan - Connecting the Dots in Tweets. - Rahul Ravi; Gouri Ginde; Jon G. Rokne (ASONAM (3), 2024)

Towards Extracting Ethical Concerns-related Software Requirements from App Reviews. - Aakash Sorathiya; Gouri Ginde (ASE, 2024)

Graph Neural Network vs. Large Language Model: A Comparative Analysis for Bug Report Priority and Severity Prediction. - Jagrit Acharya; Gouri Ginde (PROMISE, 2024)

Welcome to the Eighth International Workshop on Crowd-Based Requirements Engineering (CrowdRE'24). - Julian Frattini; Gouri Ginde; Eduard C. Groen; Oliver Karras; Norbert Seyff (RE Workshops, 2024)

AROhI: An Interactive Tool for Estimating ROI of Data Analytics. - Noopur Zambare; Jacob Idoko; Jagrit Acharya; Gouri Ginde (CoRR, 2024)

Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. - Farzaneh Dehghani; Mahsa Dibaji; Fahim Anzum; Lily Dey; Alican Basdemir; Sayeh Bayat; Jean-Christophe Boucher; Steve Drew; Sarah Elaine Eaton; Richard Frayne; Gouri Ginde; Ashley D. Harris; et al. (CoRR, 2024)

Ethical software requirements from user reviews: A systematic literature review. - Aakash Sorathiya; Gouri Ginde (CoRR, 2024)

Beyond Keywords: A Context-based Hybrid Approach to Mining Ethical Concern-related App Reviews. - Aakash Sorathiya; Gouri Ginde (CoRR, 2024)

"So what if I used GenAI?" - Implications of Using Cloud-based GenAI in Software Engineering Research. - Gouri Ginde (CoRR, 2024)

"So what if I used GenAI?" - Legal Implications of Using Cloud-based GenAI in Software Engineering Research. - Gouri Ginde (Forge@ICSE, 2025)

Rethinking Technological Investment and Cost-Benefit: A Software Requirements Dependency Extraction Case Study. - Gouri Ginde; Guenther Ruhe; Chad Saunders (IEEE Access, 2025)

Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. - Farzaneh Dehghani; Mahsa Dibaji; Fahim Anzum; Lily Dey; Alican Basdemir; Sayeh Bayat; Jean-Christophe Boucher; Steve Drew; Sarah Elaine Eaton; Richard Frayne; Gouri Ginde; Ashley D. Harris; et al. (Trans. Mach. Learn. Res., 2025)

Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation. - Jagrit Acharya; Gouri Ginde (CoRR, 2025)

BugsRepo: A Comprehensive Curated Dataset of Bug Reports, Comments and Contributors Information from Bugzilla. - Jagrit Acharya; Gouri Ginde (CoRR, 2025)

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework. - Aakash Sorathiya; Gouri Ginde (CoRR, 2025)

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews. - Aakash Sorathiya; Gouri Ginde (CoRR, 2025)

SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps. - Aakash Sorathiya; Gouri Ginde (CoRR, 2025)

Enhancing and Accelerating Brain MRI through Deep Learning Reconstruction Using Prior Subject-Specific Imaging. - Amirmohammad Shamaei; Alexander Stebner; Salome Bosshart; Johanna Ospel; Gouri Ginde; Mariana P. Bento; Roberto Souza 001 (CoRR, 2025)

Automatic Classification of User Requirements from Online Feedback - A Replication Study. - Meet Bhatt; Nic Boilard; Muhammad Rehan Chaudhary; Cole Thompson; Jacob Idoko; Aakash Sorathiya; Gouri Ginde (CoRR, 2025)