Priya Mehta

According to our database, Priya Mehta authored at least 16 papers between 2017 and 2024.

Collaborative distances:

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

2024

Book review: A Medaille, <i>The librarian's guide to learning theory: Practical applications in library settings</i>.

Priya Mehta

J. Libr. Inf. Sci., 2024

2022

BaDumTss: Multi-task Learning for Beatbox Transcription.

Priya Mehta, Meet Maheshwari, Brihi Joshi, Tanmoy Chakraborty

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Enhancement to Training of Bidirectional GAN : An Approach to Demystify Tax Fraud.

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

Proceedings of the IEEE International Conference on Big Data, 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

Link prediction techniques to handle tax evasion.

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

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 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

Regression Analysis towards Estimating Tax Evasion in Goods and Services Tax.

Jithin Mathews, Priya Mehta, Suryamukhi Kuchibhotla, Dikshant Bisht, Sobhan Babu Chintapalli, S. V. Kasi Visweswara Rao

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Clustering Collusive Dealers in Commercial Taxation System.

Jithin Mathews, Priya Mehta, Ch. Sobhan Babu, S. V. Kasi Visweswara Rao

Proceedings of the Intelligent Systems and Applications, 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

2017

An algorithmic approach to handle circular trading in commercial taxing system.

Jithin Mathews, Priya Mehta, S. V. Kasi Visweswara Rao, Ch. Sobhan Babu

CoRR, 2017