K. Sandeep Kumar

According to our database, K. Sandeep Kumar authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Shot Boundary Detection from Lecture Video Sequences Using Histogram of Oriented Gradients and Radiometric Correlation.

Thangaraj Veerakumar, Badri Narayan Subudhi, K. Sandeep Kumar, Nikhil O. F. Da Rocha, Sankaralingam Esakkirajan

Proceedings of the Smart Computer Vision, 2023

2022

Representation Learning on Graphs to Identifying Circular Trading in Goods and Services Tax.

Priya Mehta, Sanat Bhargava, K. Sandeep Kumar, Ravi Kumar, Ch. Sobhan Babu

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Demystifying Tax Evasion Using Variational Graph Autoencoders.

Priya Mehta, K. Sandeep Kumar, Ravi Kumar, Ch. Sobhan Babu

Proceedings of the Electronic Government and the Information Systems Perspective, 2021

A Novel Example-Dependent Cost-Sensitive Stacking Classifier to Identify Tax Return Defaulters.

Sanat Bhargava, M. Ravi Kumar, Priya Mehta, Jithin Mathews, K. Sandeep Kumar, Ch. Sobhan Babu

Proceedings of the 24th International Conference on Business Information Systems, 2021

2020

Detecting Tax Evaders Using TrustRank and Spectral Clustering.

Priya Mehta, Jithin Mathews, Dikshant Bisht, K. Suryamukhi, K. Sandeep Kumar, Ch. Sobhan Babu

Proceedings of the Business Information Systems - 23rd International Conference, 2020

DeepCatch: Predicting Return Defaulters in Taxation System using Example-Dependent Cost-Sensitive Deep Neural Networks.

Priya Mehta, Ch. Sobhan Babu, S. V. Kasi Visweswara Rao, K. Sandeep Kumar

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Big Data Analytics for Tax Administration.

Priya Mehta, Jithin Mathews, K. Sandeep Kumar, K. Suryamukhi, Ch. Sobhan Babu, S. V. Kasi Visweswara Rao, Vishal Shivapujimath, Dikshant Bisht

Proceedings of the Electronic Government and the Information Systems Perspective, 2019

Big Data Analytics for Nabbing Fraudulent Transactions in Taxation System.

Priya Mehta, Jithin Mathews, K. Sandeep Kumar, K. Suryamukhi, Ch. Sobhan Babu, S. V. Kasi Visweswara Rao

Proceedings of the Big Data - BigData 2019, 2019

Curtailing the Tax Leakages by Nabbing Return Defaulters in Taxation System.

Priya Mehta, Jithin Mathews, K. Sandeep Kumar, K. Suryamukhi, Ch. Sobhan Babu

Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

2018

Predictive Modeling for Identifying Return Defaulters in Goods and Services Tax.

Priya Mehta, Jithin Mathews, K. Suryamukhi, K. Sandeep Kumar, Ch. Sobhan Babu

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018