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Meghanath Macha Yadagiri

Meghanath M. Y. – Meghanath Macha

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affiliation: Adobe, San Jose, CA, USA
affiliation (former): Adobe, Bangalore, India
affiliation (former): Carnegie Mellon University, Pittsburgh, PA, USA

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2020 – today

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2024
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  - journals/isr/MachaF0G24
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Meghanath Macha, Natasha Zhang Foutz, Beibei Li, Anindya Ghose:
Personalized Privacy Preservation in Consumer Mobile Trajectories. Inf. Syst. Res. 35(1): 249-271 (2024)
2022
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Meghanath Macha Yadagiri, Sriram Ravindran, Deepak Pai, Anish Narang, Vijay Srivastava:
Multiple Attribute Fairness: Application to Fraud Detection. CoRR abs/2207.14355 (2022)
2020
[c7]
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Anindya Ghose, Beibei Li, Meghanath M. Y., Chenshuo Sun, Natasha Zhang Foutz, Joshua Anton:
Trading Privacy for Social Good: Did America Unite During COVID-19? ICIS 2020
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Meghanath Macha, Shankar Venkitachalam, Deepak Pai:
CrEOS: Identifying Critical Events in Online Sessions. WWW (Companion Volume) 2020: 337-342

2010 – 2019

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2019
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Meghanath M. Y., Beibei Li, Ying Natasha Zhang Foutz:
Geo-Targeting, Privacy, and the Rise of Consumer Location Trajectories. ICIS 2019
2018
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Meghanath Macha, Leman Akoglu:
Explaining anomalies in groups with characterizing subspace rules. Data Min. Knowl. Discov. 32(5): 1444-1480 (2018)
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Meghanath Macha Yadagiri, Deepak Pai, Leman Akoglu:
ConOut: Contextual Outlier Detection with Multiple Contexts: Application to Ad Fraud. ECML/PKDD (1) 2018: 139-156
2017
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Atanu R. Sinha, Meghanath Macha, Pranav Maneriker, Sopan Khosla, Avani Samdariya, Navjot Singh:
Anti-Ad Blocking Strategy: Measuring its True Impact. ADKDD@KDD 2017: 3:1-3:6
[i1]
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Meghanath Macha, Leman Akoglu:
X-PACS: eXPlaining Anomalies by Characterizing Subspaces. CoRR abs/1708.05929 (2017)
2015
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Meghanath Macha Yadagiri, Shiv Kumar Saini, Ritwik Sinha:
A Non-parametric Approach to the Multi-channel Attribution Problem. WISE (1) 2015: 338-352
2014
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Deepak Pai, Abhijit Sharang, Meghanath Macha Yadagiri, Shradha Agrawal:
Modelling Visit Similarity Using Click-Stream Data: A Supervised Approach. WISE (1) 2014: 135-145

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