Employee Churn Prediction, V. Vijaya Saradhi and Girish K. Palshikar, Accepted in Expert Systems with Applications.
Improved Maximum Margin Clustering through Span of Support Vectors Minimization, V. Vijaya Saradhi, Under first revision in Vikalpa, IIM Ahmedabad Journal.
Tuning Further the Kernel Matrix Learning, V. Vijaya Saradhi and Harish Karnick, Revised and Re-submitted to Neurocomputing.
Discovering Experts, Experienced Persons and Specialists for IT Infrastructure Support , Girish Keshav Palshikar, Harrick M. Vin, V. Vijaya Saradhi and Mohammed Mudassar, Revised and Re-submitted to Services Science.
On the stability and bias variance analysis of sparse SVMs. V. Vijaya Saradhi, Harish Karnick, Neurocomputing 72(1-3): 659-663 (2008)
Kernel-based online machine learning and support vector reduction, Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick, Neurocomputing 71(7-9): 1230-1237 (2008)
Bootstrapping for efficient handwritten digit recognition, V. Vijaya Saradhi, M. Narasimha Murty, Pattern Recognition 34(5): 1047-1056 (2001)
Topic Distillation using Support Vector Data Description, V. Vijaya Saradhi, Harish Karnick, Pabitra Mitra, COMAD 2008: 93-103
On the Stability and Bias-Variance Analysis of Kernel Matrix Learning. V. Vijaya Saradhi, Harish Karnick, Canadian Conference on AI 2007: 441-451
Kernel-based online machine learning and support vector reduction, Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick, ESANN 2007: 343-348
Error Estimation for Kernel Matrix Learning Through Leave-One-Out-Kernel Bootstrap, V. Vijaya Saradhi, Harish Karnick, IICAI 2007: 1071-1088
Classifier Complexity Reduction by Support Vector Pruning in Kernel Matrix Learning, V. Vijaya Saradhi, Harish Karnick, IWANN 2007: 268-275