1 citations · 1 across the 10 of their papers we have counts for
4 papers · 1 filter
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
Eshwar Sai Kandimalla, Sravan Chowdary Kankanala, Sumana Bhimineni +2
Financial market forecasting is inherently uncertain, yet most deep learning approaches rely on point predictions that provide only single-value estimates without quantifying uncer…
Log anomaly detection via Meta Learning and Prototypical Networks for Cross domain generalization
Krishna Sharma, Vivek Yelleti
Log anomaly detection is essential for system reliability, but it is extremely challenging to do considering it involves class imbalance. Additionally, the models trained in one do…
ROSFD: Robust Online Streaming Fraud Detection with Resilience to Concept Drift in Data Streams
Vivek Yelleti
Continuous generation of streaming data from diverse sources, such as online transactions and digital interactions, necessitates timely fraud detection. Traditional batch processin…
Incremental Outlier Detection Modelling Using Streaming Analytics in Finance & Health Care
Vivek Yelleti, Ch Priyanka
In the era of real-time data, traditional methods often struggle to keep pace with the dynamic nature of streaming environments. In this paper, we proposed a hybrid framework where…