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Vemuri, Rao - Department of Computer Science, University of California, Davis
Web-Based Knowledge Acquisition to Solve Inverse Problems Arising in Health-
Anomaly Detection Using S Language Framework: Clustering and Visualization of
Robust Support Vector Machines for Anomaly Detection in Computer Security
Analysis of Speciation and Niching in the Multi-Niche Crowding GA
Profiling Users in the UNIX OS Environment Vu N. P. Dao 1
Inverse Problems V Rao Vemuri
Multi-Niche Crowding in Genetic Algorithms and its Application to the Assembly of DNA Restriction-Fragments
NSOM: A Real-Time Network-Based Intrusion Detection System Using Self-Organizing Maps
Improved Approaches for Cost-Effective Traffic Grooming in WDM Ring Networks: ILP Formulations, Single-Hop and
Application of Exploratory Multivariate Analysis for Network Khaled Labib and V. Rao Vemuri
A Hardware-Based Clustering Approach for Anomaly Detection
An Application of Principal Component Analysis to the Detection and Visualization of Computer Network Attacks1
Detecting And Visualizing Denial-of-Service And Network Probe Attacks Using Principal
Web-based Knowledge Acquisition to Impute Missing Values for Classification Computer Science Dept.
Intrusion Detection using Text Processing Techniques with a Binary-Weighted Cosine Metric
Robust Anomaly Detection Using Support Vector Machines Wenjie Hu Yihua Liao V. Rao Vemuri
Towards an IP-centric Optimization: On the Topology Design of WDM-mesh Networks
A Performance Comparison of Different Back Propagation Neural Networks Methods in Computer Network Intrusion Detection
On the Use of Niching for Dynamic Landscapes Walter Cedeo V. Rao Vemuri
User-interest-based document filtering via semi-supervised clustering
Computational Intelligence in Strategy Games V Rao Vemuri
An Artificial Immune System Approach to Document Clustering