Rajesh Kumar Gnanasekaran

According to our database, Rajesh Kumar Gnanasekaran authored at least 9 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Cross-Platform Violence Detection on Social Media: A Dataset and Analysis.

Celia Chen, Scotty Beland, Ingo Burghardt, Jill Byczek, William J. Conway, Eric Cotugno, Sadaf Davre, Megan Fletcher, Rajesh Kumar Gnanasekaran, Kristin Hamilton, Marilyn Harbert, Jordan Heustis, Tanaya Jha, Emily Klein, Hayden Kramer, Alex Leitch, Jessica Perkins, Casi Sherman, Celia Sterrn, Logan Stevens, Rebecca Zarrella, Jennifer Golbeck

CoRR, June, 2025

Cross-Platform Violence Detection on Social Media: A Dataset and Analysis.

Celia Chen, Scotty Beland, Ingo Burghardt, Jill Byczek, William J. Conway, Eric Cotugno, Sadaf Davre, Megan Fletcher, Rajesh Kumar Gnanasekaran, Kristin Hamilton, Jordan Heustis, Tanaya Jha, Emily Klein, Hayden Kramer, Alex Leitch, Jessica Perkins, Casi Sherman, Celia Sterrn, Logan Stevens, Rebecca Zarrella, Jennifer Golbeck

Proceedings of the 17th ACM Web Science Conference 2025, 2025

Conversing with the past: re-examining the legacy of slavery in domestic traffic newspaper advertisements with OpenAI's advanced LLM.

Rajesh Kumar Gnanasekaran, Christopher E. Haley, Richard Marciano

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.

Mariia Vetluzhskikh, Rajesh Kumar Gnanasekaran, Richard Marciano

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).

Rajesh Kumar Gnanasekaran, Lori A. Perine, Mark Conrad, Richard Marciano

Proceedings of the IEEE International Conference on Big Data, 2024

2021

Using Recurrent Neural Networks for Classification of Natural Language-based Non-functional Requirements.

Rajesh Kumar Gnanasekaran, Suranjan Chakraborty, Josh Dehlinger, Lin Deng

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.

Aravind Inbasekaran, Rajesh Kumar Gnanasekaran, Richard Marciano

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).

Lori A. Perine, Rajesh Kumar Gnanasekaran, Phillip Nicholas, Alexis Hill, Richard Marciano

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2017

A Large Labeled Corpus for Online Harassment Research.

Jennifer Golbeck, Zahra Ashktorab, Rashad O. Banjo, Alexandra Berlinger, Siddharth Bhagwan, Cody Buntain, Paul Cheakalos, Alicia A. Geller, Quint Gergory, Rajesh Kumar Gnanasekaran, Raja Rajan Gunasekaran, Kelly M. Hoffman, Jenny Hottle, Vichita Jienjitlert, Shivika Khare, Ryan Lau, Marianna J. Martindale, Shalmali Naik, Heather L. Nixon, Piyush Ramachandran, Kristine M. Rogers, Lisa Rogers, Meghna Sardana Sarin, Gaurav Shahane, Jayanee Thanki, Priyanka Vengataraman, Zijian Wan, Derek Michael Wu

Proceedings of the 2017 ACM on Web Science Conference, 2017