Rafflesia Khan

According to our database, Rafflesia Khan authored at least 9 papers between 2020 and 2026.

Collaborative distances:

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

2026

The cognitive companion: a lightweight parallel monitoring architecture for detecting and recovering from reasoning degradation in LLM agents.

Rafflesia Khan, Nafiul I. Khan

CoRR, April, 2026

Automated detection, shape classification, and counting of leaves and fruits from bunch leaf and fruit image using deep learning models for smart agriculture and forestry.

Swajan Golder, Hafsa Sultana, Abdullah Al Noman, Rafflesia Khan, Anupam Kumar Bairagi, Rameswar Debnath

Multim. Tools Appl., February, 2026

2025

IBM Multilevel Process Mining vs de facto Object-Centric Process Mining approaches.

Alberto Ronzoni, Anina Antony, Anjana M. R, Francesca De Leo, Jesna Jose, Mattia Freda, Nandini Narayanankutty, Rafflesia Khan, Raji RV, Thomas Diacci

CoRR, December, 2025

A Gossip-Enhanced Communication Substrate for Agentic AI: Toward Decentralized Coordination in Large-Scale Multi-Agent Systems.

Nafiul I. Khan, Mansura Habiba, Rafflesia Khan

CoRR, December, 2025

AGENTSAFE: A Unified Framework for Ethical Assurance and Governance in Agentic AI.

Rafflesia Khan, Declan Joyce, Mansura Habiba

CoRR, December, 2025

2023

CLAIMED - the open source framework for building coarse-grained operators for accelerated discovery in science.

Romeo Kienzler, Rafflesia Khan, Jerome P. Nilmeier, Ivan Nesic, Ibrahim Haddad

CoRR, 2023

2022

Morphology Preserving Segmentation Method for Occluded Cell Nuclei from Medical Microscopy Image.

Rafflesia Khan, Rameswar Debnath

Int. J. Image Graph., 2022

Evolution of the Historian Data Entry Application: Supporting Transcribathons in the Digital Humanities through MDD.

Alexander Schieweck, Rachel Murphy, Rafflesia Khan, Ciara Breathnach, Tiziana Margaria

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2020

Towards Automatic Data Cleansing and Classification of Valid Historical Data An Incremental Approach Based on MDD.

Enda O'Shea, Rafflesia Khan, Ciara Breathnach, Tiziana Margaria

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