Vijaya V. Saradhi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 12

Top Topics

Internet Traffic

Top Venues

IEEE Trans. Netw. Serv. Manag.

SoGood@ECML-PKDD

Publications

Tanmayee Samantaray, Jitender Saini, Pramod Kumar Pal, Bithiah Grace Jaganathan, Vijaya V. Saradhi, Gupta CN
Labeling subtypes in a Parkinson's Cohort using Multifeatures in MRI - Integrating Grey and White Matter Information. CoRR (2024)
Swarup Ranjan Behera, Vijaya V. Saradhi
Visualization of Unstructured Sports Data - An Example of Cricket Short Text Commentary. CoRR (2024)
Swarup Ranjan Behera, Vijaya V. Saradhi
Spectral Clustering in Convex and Constrained Settings. CoRR (2024)
Awnish Kumar, Vijaya V. Saradhi, Venkatesh Tamarapalli
Compressive sensing of Internet traffic data using relative-error bound tensor-CUR decomposition. J. Netw. Comput. Appl. 224 (2024)
Swarup Ranjan Behera, Vijaya V. Saradhi
Cricket Player Profiling: Unraveling Strengths and Weaknesses Using Text Commentary Data. CoRR (2023)
Swarup Ranjan Behera, Vijaya V. Saradhi
Stats Aren't Everything: Learning Strengths and Weaknesses of Cricket Players. MLSA@PKDD/ECML (2020)
Awnish Kumar, Sandeep Vidyapu, Vijaya V. Saradhi, Venkatesh Tamarapalli
A Multi-View Subspace Learning Approach to Internet Traffic Matrix Estimation. IEEE Trans. Netw. Serv. Manag. 17 (2) (2020)
Nayantara Kotoky, Vijaya V. Saradhi
Learning to Propose Amendments: Identifying Patterns in the Right to Information Query Log. ICMLA (2019)
Awnish Kumar, Vijaya V. Saradhi, T. Venkatesh
Compressive Sensing of Internet Traffic Matrices using CUR Decomposition. ICDCN (2018)
Awnish Kumar, Vijaya V. Saradhi, T. Venkatesh
Network-wide volume anomaly detection using alternate matrix decomposition techniques. ANTS (2017)
Gitimoni Saikia, Saroj Shivagunde, Vijaya V. Saradhi, Raghvendra Dhirendra Kannao, Prithwijit Guha
Multiple kernel learning using data envelopment analysis and feature vector selection and projection. ICPR (2016)
Nayantara Kotoky, Vijaya V. Saradhi
Right to Information Query Modelling via Graded Response Model. SoGood@ECML-PKDD (2016)