3 papers
cs.LG2025
Adaptive-GraphSketch: Real-Time Edge Anomaly Detection via Multi-Layer Tensor Sketching and Temporal Decay
Ocheme Anthony Ekle, William Eberle
Anomaly detection in dynamic graphs is essential for identifying malicious activities, fraud, and unexpected behaviors in real-world systems such as cybersecurity and power grids.…
cs.CL2025
Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo
Ocheme Anthony Ekle, Biswarup Das
In this study, we develop Neural Machine Translation (NMT) and Transformer-based transfer learning models for English-to-Igbo translation - a low-resource African language spoken b…
cs.LG2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle, William Eberle
This survey paper presents a comprehensive and conceptual overview of anomaly detection using dynamic graphs. We focus on existing graph-based anomaly detection (AD) techniques and…