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)

Predictive Modeling for Identifying Return Defaulters in Goods and Services Tax. - Priya Mehta; Jithin Mathews; K. Suryamukhi; K. Sandeep Kumar; Ch. Sobhan Babu (DSAA, 2018)

Clustering Collusive Dealers in Commercial Taxation System. - Jithin Mathews; Priya Mehta; Ch. Sobhan Babu; S. V. Kasi Visweswara Rao (IntelliSys (2), 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 (WI, 2018)

Curtailing the Tax Leakages by Nabbing Return Defaulters in Taxation System. - Priya Mehta; Jithin Mathews; K. Sandeep Kumar; K. Suryamukhi; Ch. Sobhan Babu (AusDM, 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 (BigData, 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 (EGOVIS, 2019)

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 (IEEE BigData, 2020)

Detecting Tax Evaders Using TrustRank and Spectral Clustering. - Priya Mehta; Jithin Mathews; Dikshant Bisht; K. Suryamukhi; K. Sandeep Kumar; Ch. Sobhan Babu (BIS, 2020)

A Novel Example-Dependent Cost-Sensitive Stacking Classifier to Identify Tax Return Defaulters. - Sanat Bhargava; M. Ravi Kumar 002; Priya Mehta; Jithin Mathews; K. Sandeep Kumar; Ch. Sobhan Babu (BIS, 2021)

Link prediction techniques to handle tax evasion. - Jithin Mathews; Priya Mehta; K. Suryamukhi; Ch. Sobhan Babu (COMAD/CODS, 2021)

Demystifying Tax Evasion Using Variational Graph Autoencoders. - Priya Mehta; K. Sandeep Kumar; Ravi Kumar 011; Ch. Sobhan Babu (EGOVIS, 2021)

Representation Learning on Graphs to Identifying Circular Trading in Goods and Services Tax. - Priya Mehta; Sanat Bhargava; K. Sandeep Kumar; Ravi Kumar 011; Ch. Sobhan Babu (IEEE Big Data, 2022)

Enhancement to Training of Bidirectional GAN : An Approach to Demystify Tax Fraud. - Priya Mehta; Sandeep Kumar; Ravi Kumar 011; Ch. Sobhan Babu (IEEE Big Data, 2022)

BaDumTss: Multi-task Learning for Beatbox Transcription. - Priya Mehta; Meet Maheshwari; Brihi Joshi; Tanmoy Chakraborty 002 (PAKDD (3), 2022)

Design and Development of a Working Tool for Visual Speech and Speaker Recognition for Marathi and Gujarati Languages. - Ramesh R. Naik; Jaiprakash Verma; Mohd. Zuhair; Priya Mehta; Tisha Kotadia; Sunil Gautam (CoCoLe, 2024)

Book review: A Medaille, The librarian's guide to learning theory: Practical applications in library settings. - Priya Mehta (J. Libr. Inf. Sci., 2024)