Rajesh Kumar Gnanasekaran

Orcid: 0000-0003-1775-2455

According to our database1, Rajesh Kumar Gnanasekaran authored at least 12 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Red Flags and Cherry Picking: Reading The Scientific Blackpill Wiki.
CoRR, April, 2026

In Bad Faith: Assessing Discussion Quality on Social Media.
CoRR, February, 2026

2025
Cross-Platform Violence Detection on Social Media: A Dataset and Analysis.
CoRR, June, 2025


In Bad Faith: Assessing Discussion Quality on Social Media.
Proceedings of the Social Networks Analysis and Mining - 17th International Conference, 2025

Conversing with the past: re-examining the legacy of slavery in domestic traffic newspaper advertisements with OpenAI's advanced LLM.
Proceedings of the Navigating Artificial Intelligence for Cultural Heritage Organisations., 2025

2024
Can Generative AI Uncover Hidden Patterns in Historical Domestic Traffic Ads Through Data Analysis? A ChatLoS-DTA Exploration.
Proceedings of the IEEE International Conference on Big Data, 2024

Model Selection for HERITAGE-AI: Evaluating LLMs for Contextual Data Analysis of Maryland's Domestic Traffic Ads (1824-1864).
Proceedings of the IEEE International Conference on Big Data, 2024

2021
Using Recurrent Neural Networks for Classification of Natural Language-based Non-functional Requirements.
Proceedings of the Joint Proceedings of REFSQ 2021 Workshops, 2021

Using Transfer Learning to contextually Optimize Optical Character Recognition (OCR) output and perform new Feature Extraction on a digitized cultural and historical dataset.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Computational Treatments to Recover Erased Heritage: A Legacy of Slavery Case Study (CT-LoS).
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2017


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