Priyanka Ranade

Orcid: 0000-0003-3859-5356

According to our database1, Priyanka Ranade authored at least 15 papers between 2018 and 2026.

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Timeline

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Bibliography

2026
Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Graph-Based Re-ranking: Emerging Techniques, Limitations, and Opportunities.
CoRR, March, 2025

Density2R: Efficient Document Re-Ranking via Embedding Density Over Parametric Knowledge of Large Language Models.
Proceedings of the IEEE International Conference on Big Data, 2025

2023
Scaling Studies for Efficient Parameter Search and Parallelism for Large Language Model Pre-training.
CoRR, 2023

FABULA: Intelligence Report Generation Using Retrieval-Augmented Narrative Construction.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

Knowledge-Embedded Narrative Construction from Open Source Intelligence.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Recognizing and Extracting Cybersecurtity-relevant Entities from Text.
CoRR, 2022

Computational Understanding of Narratives: A Survey.
IEEE Access, 2022

2021
A Privacy Preserving Anomaly Detection Framework for Cooperative Smart Farming Ecosystem.
Proceedings of the 3rd IEEE International Conference on Trust, 2021

Generating Fake Cyber Threat Intelligence Using Transformer-Based Models.
Proceedings of the International Joint Conference on Neural Networks, 2021

CyBERT: Contextualized Embeddings for the Cybersecurity Domain.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Cybersecurity Knowledge Graph Improvement with Graph Neural Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Cybersecurity Threat Intelligence Augmentation and Embedding Improvement - A Healthcare Usecase.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020

Using Knowledge Graphs and Reinforcement Learning for Malware Analysis.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018
Using Deep Neural Networks to Translate Multi-lingual Threat Intelligence.
Proceedings of the 2018 IEEE International Conference on Intelligence and Security Informatics, 2018


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