15 papers
Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies
Arun Kumar Selvaraj, Tanay Panat, Rohitash Chandra
The drastic changes in the global economy, geopolitical conditions, and disruptions such as the COVID-19 pandemic have impacted the cost of living and quality of life. It is essent…
DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
Omkar Kulkarni, Rohitash Chandra
Financial fraud detection is critical for maintaining the integrity of financial systems, particularly in decentralised environments such as cryptocurrency networks. Although Graph…
Capsule Network-Based Multimodal Fusion for Mortgage Risk Assessment from Unstructured Data Sources
Mahsa Tavakoli, Rohitash Chandra, Cristian Bravo
Mortgage risk assessment traditionally relies on structured financial data, which is often proprietary, confidential, and costly. In this study, we propose a novel multimodal deep…
Machine Learning for Detection and Analysis of Novel LLM Jailbreaks
John Hawkins, Aditya Pramar, Rodney Beard +1
Large Language Models (LLMs) suffer from a range of vulnerabilities that allow malicious users to solicit undesirable responses through manipulation of the input text. These so-cal…
HP-BERT: A framework for longitudinal study of Hinduphobia on social media via language models
Ashutosh Singh, Rohitash Chandra
During the COVID-19 pandemic, community tensions intensified, contributing to discriminatory sentiments against various religious groups, including Hindu communities. Recent advanc…
Extreme value forecasting using relevance-based data augmentation with deep learning models
Junru Hua, Rahul Ahluwalia, Rohitash Chandra
Data augmentation with generative adversarial networks (GANs) has been popular for class imbalance problems, mainly for pattern classification and computer vision-related applicati…