Modelling Visit Similarity Using Click-Stream Data: A Supervised Approach. - Deepak Pai; Abhijit Sharang; Meghanath Macha Yadagiri; Shradha Agrawal (WISE (1), 2014)

A Non-parametric Approach to the Multi-channel Attribution Problem. - Meghanath Macha Yadagiri; Shiv Kumar Saini; Ritwik Sinha (WISE (1), 2015)

Anti-Ad Blocking Strategy: Measuring its True Impact. - Atanu R. Sinha; Meghanath Macha; Pranav Maneriker; Sopan Khosla; Avani Samdariya; Navjot Singh (ADKDD@KDD, 2017)

X-PACS: eXPlaining Anomalies by Characterizing Subspaces. - Meghanath Macha; Leman Akoglu (CoRR, 2017)

ConOut: Contextual Outlier Detection with Multiple Contexts: Application to Ad Fraud. - Meghanath Macha Yadagiri; Deepak Pai; Leman Akoglu (ECML/PKDD (1), 2018)

Explaining anomalies in groups with characterizing subspace rules. - Meghanath Macha; Leman Akoglu (Data Min. Knowl. Discov., 2018)

Geo-Targeting, Privacy, and the Rise of Consumer Location Trajectories. - Meghanath M. Y.; Beibei Li 003; Ying Natasha Zhang Foutz (ICIS, 2019)

Trading Privacy for Social Good: Did America Unite During COVID-19? - Anindya Ghose; Beibei Li 003; Meghanath M. Y.; Chenshuo Sun; Natasha Zhang Foutz; Joshua Anton (ICIS, 2020)

CrEOS: Identifying Critical Events in Online Sessions. - Meghanath Macha; Shankar Venkitachalam; Deepak Pai (WWW (Companion Volume), 2020)

Multiple Attribute Fairness: Application to Fraud Detection. - Meghanath Macha Yadagiri; Sriram Ravindran; Deepak Pai; Anish Narang; Vijay Srivastava (CoRR, 2022)

Personalized Privacy Preservation in Consumer Mobile Trajectories. - Meghanath Macha; Natasha Zhang Foutz; Beibei Li 003; Anindya Ghose (Inf. Syst. Res., 2024)